Next Article in Journal
“Seeing and Being Seen” or Just “Seeing” in a Smart Classroom Context When Videoconferencing: A User Experience-Based Qualitative Research on the Use of Cameras
Next Article in Special Issue
Early Postnatal Outcome and Care after in Utero Exposure to Lithium: A Single Center Analysis of a Belgian Tertiary University Hospital
Previous Article in Journal
Enhanced Natural Attenuation of Groundwater Cr(VI) Pollution Using Electron Donors: Yeast Extract vs. Polyhydroxybutyrate
Previous Article in Special Issue
Information Needs and Counseling Preferences among Potential Users of the Future Teratology Information Service in Belgium: A Cross-Sectional Study Involving the Public and Healthcare Professionals
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Systematic Review

The Risk for Neonatal Hypoglycemia and Bradycardia after Beta-Blocker Use during Pregnancy or Lactation: A Systematic Review and Meta-Analysis

by
Rosalie de Bruin
1,
Sarah L. van Dalen
1,
Shamaya J. Franx
1,
Viraraghavan V. Ramaswamy
2,
Sinno H. P. Simons
3,
Robert B. Flint
3,4 and
Gerbrich E. van den Bosch
3,*
1
Faculty of Medicine, Erasmus University Medical Center, 3015GD Rotterdam, The Netherlands
2
Department of Neonatology, Ankura Hospital for Women and Children, Hyderabad 500072, Telangana, India
3
Department of Pediatrics, Division of Neonatology, Erasmus University Medical Center, 3015GD Rotterdam, The Netherlands
4
Department of Hospital Pharmacy, Erasmus University Medical Center, 3015GD Rotterdam, The Netherlands
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(15), 9616; https://doi.org/10.3390/ijerph19159616
Submission received: 29 June 2022 / Revised: 28 July 2022 / Accepted: 29 July 2022 / Published: 4 August 2022
(This article belongs to the Special Issue Pharmacotherapy during Pregnancy, Childbirth and Lactation)

Abstract

:
Beta-blockers are often used during pregnancy to treat cardiovascular diseases. The described neonatal side effects of maternal beta-blocker use are hypoglycemia and bradycardia, but the evidence base for these is yet to be evaluated comprehensively. Hence, this systematic review and meta-analysis was performed to evaluate the potential increased risk for hypoglycemia and bradycardia in neonates exposed to beta-blockers in utero or during lactation. A systematic search of English-language human studies was conducted until 21 April 2021. Both observational studies and randomized controlled trials investigating hypoglycemia and/or bradycardia in neonates following beta-blocker exposure during pregnancy and lactation were included. All articles were screened by two authors independently and eligible studies were included. Pair-wise and proportion-based meta-analysis was conducted and the certainty of evidence (CoE) was performed by standard methodologies. Of the 1.043 screened articles, 55 were included in this systematic review. Our meta-analysis showed a probable risk of hypoglycemia (CoE—Moderate) and possible risk of bradycardia (CoE—Low) in neonates upon fetal beta-blocker exposure. Therefore, we suggest the monitoring of glucose levels in exposed neonates until 24 h after birth. Due to the limited clinical implication, monitoring of the heart rate could be considered for 24 h. We call for future studies to substantiate our findings.

1. Introduction

Beta-blockers are often used antihypertensive agents during pregnancy to treat pre-existing hypertension, pregnancy induced hypertension, pre-eclampsia and tachyarrhythmia. Labetalol and metoprolol are the most prescribed beta-blockers during pregnancy and lactation [1]. As most beta-blockers are known to cross the placenta, their in-utero exposure may affect the condition of the fetus during pregnancy or of the neonate after birth [2,3]. Previous studies have shown that the maternal use of beta-blockers is not associated with a large increase in the risk for either overall malformations or cardiac malformations for the neonate [4,5]. However, it is unknown whether exposure to beta-blockers in utero considerably increases the risk for neonatal side effects such as bradycardia or hypoglycemia. Moreover, some beta-blockers have been found in breast milk [6], which may lead to potential negative effects in the neonate as well. However, the degree of excretion of different beta-blockers into breast milk is dependent on their individual pharmacokinetic characteristics [7]. Beta-blockers such as labetalol and propranolol pass into breastmilk in low concentrations [8,9], while atenolol reaches a relatively higher breastmilk concentration [10]. The question arises as to whether beta-blocker exposure is safe for the neonate.

1.1. Mechanisms of Action and Potential Risks

Beta-blockers inhibit the beta-1 and beta-2 receptors resulting in a decrease in heart rate and heart contractility causing a lower blood pressure [11]. Maintaining heart rate within the normal range is vital during the neonatal period as their myocardium has a limited ability to compensate in response to bradycardia by virtue of increasing the stroke volume. Therefore, beta-blocker exposure in utero and through lactation could potentially harm the neonate by decreasing heart rate, which hypothetically could cause decreased cardiac output, blood pressure and eventually organ perfusion and growth. Moreover, beta-blockers cause inhibition of the glycogenolysis through the activation of the sympathetic nervous system [11], which could lead to hypoglycemia. In neonates, hypoglycemia is potentially dangerous, since severe or prolonged hypoglycemia can result in significant insult to the developing brain [12,13].
Therefore, it is important to evaluate the risks associated with exposure to beta-blockers in utero or through lactation for the outcomes of bradycardia and hypoglycemia in neonates. In the case of a distinctly increased risk for the neonate, glucose and/or heartrate monitoring are needed and may require prolonged hospital admission in order to detect and treat these potentially harmful side effects. On the other hand, if the risk for hypoglycemia or bradycardia is not increased, the neonate may not require admission for monitoring, thus mitigating the need for a longer hospital stay and exposure to painful blood collection procedures for glucose tests.

1.2. Aim of the Study

The aim of this systematic review and meta-analysis was to evaluate the risk of hypoglycemia and bradycardia in neonates exposed to beta-blockers in-utero or through lactation in comparison with neonates without any beta-blocker exposure in order to assess the need of postnatal observation including heartrate and glucose monitoring. With this systematic review clinicians can make a better risk-benefit judgement for the use of beta-blockers during pregnancy and lactation.

2. Materials and Methods

2.1. Protocol and Registration

The methods of this systematic review and meta-analysis were specified in our protocol (submitted after minor revision) and registered in PROSPERO (CRD42021264269) on 27 July 2021. The PRISMA 2009 [14] reporting checklist was used.

2.2. Patient and Public Involvement

There was no patient or public involvement in the whole process of conducting this research.

2.3. Eligibility Criteria

The following inclusion criteria were applied on the articles (including abstracts) resulting from our search:
  • Randomized controlled trials, case series, case reports and observational studies reporting the adverse effects of beta-blockers exposure during pregnancy and lactation on the neonate;
  • The described effect on the neonate should focus on hypoglycemia and/or bradycardia (the chosen cut-off value for hypoglycemia and bradycardia could vary between studies);
  • Studies in English;
  • Studies in human subjects.
Articles were excluded when they met the following criteria:
5.
Articles studying only the effect of the disease of the mother on the neonate;
6.
Studies on the effect of beta-blockers on only the fetus and not the neonate;
7.
Reviews and editorials;
8.
Letters to the Editor.

2.4. Information Sources

Electronic database searches were used to identify studies for this systematic review. A search strategy was developed in consultation with a professional librarian of the Erasmus Medical Center, using the following electronic databases: EMBASE, Medline, Cochrane Central Register of Trials and Web of Science. English-language human studies published since the inception of the databases until 21 April 2021 were included. See the Supplemental File for the search strategy and hits.

2.5. Search Strategy

Search terms on the following subjects were included (1) beta-blockers, (2) pregnancy or lactation and (3) the effect on the neonate in terms of hypoglycemia and bradycardia. Search terms in MEDLINE included, for instance, ‘beta adrenergic receptor blocking agent/exp’, ‘hypoglycaemia/de’, ‘bradycardia/exp’, ‘perinatal drug exposure’ and ‘lactation/de’ (see Supplemental File for the complete search strategies).

2.6. Study Selection

Two members of the study team independently reviewed the articles based on title and abstract using the above-described inclusion and exclusion criteria (RB and SF). After a selection based on the title and abstract, two reviewers independently read the full text of the selected articles (RB and SD). Any identified discrepancies between the reviewers were resolved through evaluation and discussion by GB and RF when necessary. Extracted information included the number of participants, participant demographics, study population, study design, outcome (hypoglycemia and/or bradycardia), treatment indication and type and dosage of the beta-blocker. The number of articles meeting the inclusion criteria was recorded and the reasons for exclusion were documented in accordance with the PRISMA guidelines [14].

2.7. Data Collection Process

Two authors (RB and SD) extracted the data from included studies and three other authors performed a check on all extracted data (SF, GB and VR). Disagreements were resolved by discussion between the review authors. If no agreement could be reached, the senior researchers decided (GB, RF).

2.8. Data Items

Data were extracted from each included study on (1) the characteristics of trial participants (including treatment indication, participant demographics), (2) the type and dosage of the beta-blocker (beta-blocker versus placebo or versus another antihypertensive agent or beta-blocker versus beta-blocker), and (3) the outcome measure (including hypoglycemia and/or bradycardia).

2.9. Risk of Bias Assessment

The Cochrane risk of bias tool version 2.0 was used for randomized controlled trials (RCTs) [15] and Risk Of Bias in Non-randomized Studies of intervention (ROBINS-I) for non-RCTs [16]. Two authors (VR, GB) assessed the risk of bias independently and disagreements were resolved by consulting a third author (RF). The quality of case reports was evaluated using the Checklist for Case Reports by the Joanna Briggs Institute (JBI) [17]. The quality of case series was evaluated using the Checklist for Case Series by the JBI [18]. Two authors (RB, RF) assessed the risk of bias for case reports and case series independently and disagreements were resolved by consulting a third author (GB).

2.10. Certainty of Evidence Assessment

Grading of Recommendations, Assessment, Development and Evaluations (GRADE) were used for the Certainty of Evidence (CoE) [19,20,21]. CoE was classified into four categories, namely high, moderate, low and very low. The findings of the systematic review are reported as per a modified GRADE working group recommendation [22] (Table 1).

2.11. Data Synthesis

R software (version 3.6.2, R Foundation for Statistical Computing, Vienna, Austria) was utilized for data analysis [23]. Meta-analysis was performed by the Mantel Haenszel method and the inverse variance method for dichotomous outcomes and continuous outcomes, respectively. Heterogeneity was assessed using Cochran Q, I2 and τ2 values. A random effects model was utilized if the I2 value was >50%, and if it was ascertained that the large I2 values were not due to differences between small and large magnitude of the effect estimates. Else, a fixed effect model was utilized. A random effects meta-analysis of proportions with the Freeman–Tukey Double arcsine transformation was also used.

3. Results

3.1. Study Selection

The PRISMA flow is shown in Figure 1, starting with 1462 identified articles from our search in EMBASE, Medline, Cochrane Central Register of Trials and Web of Science. After removal of duplicates, 1043 articles remained. Screening the titles and abstracts using the inclusion and exclusion criteria led to excluding 911 articles. Subsequently, 132 articles were screened based on the entire content of the article. The reviewers (RB, SD, SF) had discrepancies about four articles [24,25,26,27] and these were resolved through evaluation and discussion by GB and RF. Two of these [26,27] articles were included. The two excluded articles [24,25] did not report sufficiently on the occurrence of hypoglycemia and bradycardia in neonates exposed to beta-blockers in utero or through lactation. Two articles were not electronically available and were therefore excluded as well. This led to a total of 776 articles being excluded and 55 articles being included in this systematic review, of which 15 are case reports. Table 2 shows the details of 40 of the included studies. The 15 case reports are described in Section 3.6.
All included studies provided information about possible neonatal effects after in utero exposure or through lactation. Few studies provided information about the neonatal outcome after beta-blocker use during lactation; see paragraph 3.5. Moreover, Table 3 shows the type and dosage of the used beta-blocker in each study. The case reports were not included in the meta-analysis. Furthermore, two other studies were excluded from the meta-analysis since these focused on the short-term use of beta-blockers during pregnancy for the induction of anesthesia or labor instead of its use for cardiovascular diseases [28,29].
Table 2. Overview of 40 included studies.
Table 2. Overview of 40 included studies.
SourceStudy GroupNumber of PatientsCountryStudy DesignObjectiveTreatment IndicationOutcome
Bigelow CA, 2021 [29]Nulliparous patients undergoing term induction of labor with a single, non-anomalous gestation received propranolol or placebon = 121 cases vs. n = 119 controlsUnited StatesRCTTo determine whether the addition of a single dose of propranolol to induce labor in nulliparous women would decrease total time to vaginal deliveryInduction of laborHypoglycemia
Kayser A, 2020 [30]Neonates of hypertensive women treated with metoprolol and/or bisoprolol after the first trimester, but not with methyldopa at any time during pregnancyn = 294 cases vs. n = 225 controls (methyldopa) vs. n = 588 controls (nonhypertensive mothers)GermanyCohort studyTo evaluate the effects of beta blockers during the second and third trimester on fetal growth, length of gestation and postnatal symptoms in exposed infantsChronic or pregnancy-induced hypertensionHypoglycemia and bradycardia
Kumar N, 2020 [31]All the infants born ≥34 weeks with mothers using beta blockers prenatally compared to mothers with diabetes, both beta-blockers and diabetes or without pregnancy conditionsn = 228 cases (BB) and n = 60 both vs. n = 379 controls (diabetes), and n = 4.103 controls (no pregnancy condition)United StatesCohort studyTo evaluate whether pregnancy glycated hemoglobin (HbA1c) levels of ≤6% and maternal race impacts neonatal hypoglycemia and birthweight, and whether diabetes and beta blocker use during pregnancy additively impacts neonatal outcomesNot described in articleHypoglycemia
Mazkereth R, 2019 [32]Infants born to mothers who were treated with beta-blockers during pregnancy and until deliveryn = 153 cases vs. n = 153 controlsIsraelCase–controlTo evaluate infants exposed to intrauterine beta blockers in order to estimate the need of postnatal monitoringCardiac disease (arrhythmia, rheumatic heart disease and cardiomyopathy), chronic hypertension, migraine, PIH (pregnancy induced hypertension) and pre-eclampsiaHypoglycemia and bradycardia
Easterling T, 2019 [33]Pregnant woman older than 18 years and gestational age of at least 28 weeks received labetalol, nifedipine or methyldopan = 295 cases vs. n = 298 controls (nifedipine) vs. n = 301 controls (methyldopa)IndiaRCTTo compare the efficacy and safety of oral labetalol, nifedipine retard and methyldopa for the management of severe hypertension in pregnancyHypertension in pregnancyHypoglycemia and bradycardia
Thewissen L, 2017 [34]Preterm neonates prenatally exposed to labetalol because of maternal HDPn = 22 cases vs. n = 22 controls with maternal HDP without labetalol and n = 22 controls without maternal HDPBelgiumCase–controlTo investigate labetalol-induced effects on neonatal hemodynamics and cerebral oxygenation in the first 24 h after birthHypertensive disorders in pregnancy (HDP)Bradycardia
Bateman BT, 2016 [35]Completed pregnancies linked to liveborn infantsn = 2,292,116United StatesCohort studyTo define the risks of neonatal
hypoglycemia and bradycardia associated with maternal exposure to beta blockers at the time of delivery
Pre-existing or gestational hypertension, pre-eclampsia, migraine, cardiac arrhythmia, ischemic heart disease, anxiety and congestive heart failureHypoglycemia and bradycardia
Singh R, 2016 [36]Women with severe hypertension in pregnancy who received labetalol or hydralazinen = 50 cases vs. n = 50 controlsIndiaRCTTo evaluate the efficacy and safety of intravenous labetalol and intravenous hydralazine in managing hypertensive emergency in pregnancyHypertension in pregnancyHypoglycemia
Heida KY,2012 [37]Infants from mothers suffering from severe preeclampsia and/or HELLP treated with labetaloln = 55 cases and n = 54 controlsThe NetherlandsCase–controlAnalysis of possible association between intrauterine labetalol exposure and side effectsPreeclampsia and/or HELLP-syndromeHypoglycemia and bradycardia
Verma R, 2012 [38]Pregnant patients newly diagnosed with systolic blood pressure of ≥140 mmHg and a diastolic blood pressure of ≥90 mmHg and gestational age between 20–40 weeks of pregnancy received labetalol or methyldopan = 45 cases vs. n = 45 controlsIndiaRCT(1) To evaluate the effect of labetalol versus methyldopa on maternal outcomes in the treatment of new onset hypertension during pregnancy
(2) To evaluate the effect of labetalol versus methyldopa on fetal and neonatal outcomes in the treatment of new onset hypertension during pregnancy
Pregnancy induced hypertensionHypoglycemia and bradycardia
Davis RL, 2011 [39]Women older than 15 years delivering an infant, who had been continuously enrolled with prescription drug coverage for ≥1 year prior to deliveryn = 584 cases (full-term infants exposed to beta blockers), n = 804 controls (full-term infants exposed to calcium-channel blockers) and >75,000 unexposed infantsUnited StatesCohort studyTo study risks for perinatal complications and congenital defects among infants exposed to beta blockers in uteroNot described in articleHypoglycemia
Vigil-De Gracia P,
2006 [40]
Women with severe hypertension in pregnancy treated with labetalol or hydralazinen = 100 cases vs. n = 100 controls (and n = 103 case children vs. n = 102 control children)PanamaRCTTo compare the safety and efficacy of intravenous labetalol and intravenous hydralazine for acutely lowering blood pressure in pregnancySevere preeclampsia, gestational hypertension, superimposed preeclampsia, chronic hypertension, eclampsia and severe preeclampsia with HELLPHypoglycemia and bradycardia
Darcie S, 2004 [41]Newborns of mothers treated with atenolol, isradipine or a low sodium diet during pregnancyn = 40 cases vs. n = 39 controls (isradipine) vs. n = 14 controls (low sodium diet)BrazilRCTTo evaluate the effect of isradipine on the evolution of glycemia levels in newborns of pregnant women who have arterial hypertension, comparing it to the use of atenolol and situations where the blood pressure control was done without using antihypertensive medicationsSpecific hypertensive disease of pregnancy (SHDP) or chronic arterial hypertension and superimposed SHDPHypoglycemia
Paran E, 1995 [42]Woman with moderate pregnancy-induced hypertensionn = 17 cases propranolol/hydralazine vs. n = 19 cases pindolol/hydralazine vs. n = 13 controls with hydralazineTurkeyRCTTo compare the effect of propranolol/hydralazine to pindolol/hydralazine combination therapy with hydralazine monotherapy and to evaluate the clinical effects on the mother and on the fetusModerate pregnancy-induced hypertensionHypoglycemia
Munshi UK, 1992 [43]Neonates born to mothers suffering from pregnancy-induced hypertension (PIH) and receiving labetalol compared to children of mothers treated with drugs other than labetalol for their PIHn = 48 cases vs. n = 81 controlsIndiaCase–controlTo assess the incidence of birth asphyxia, intrauterine growth retardation and hypoglycemia in the neonates of mothers suffering from pregnancy induced hypertension treated with labetalolPregnancy induced hypertensionHypoglycemia and bradycardia
Bott-Kanner G, 1992 [44]Women presenting with a diastolic blood pressure of 85–90 mmHg before the 35th week of pregnancy treated with pindolol or placebon = 30 cases vs. n = 30 controlsIsraelRCTTo investigate the benefits of early treatment of hypertension of pregnancy with pindolol and to compare the effects of initiating treatment at a DBP of 85–99 mmHg as opposed to starting treatment when DBP is ≥100 mmHg. The study examined the effects of treatment in incidence of maternal and fetal complications.A diastolic blood pressure of 85–90 mmHg before the 35th week of pregnancyHypoglycemia and bradycardia
Pickles CJ, 1989 [45]Patients with mild to moderate, non-proteinuric pregnancy-induced hypertension treated with labetalol or placebon = 70 cases vs. n = 74 controlsEnglandRCTThe fetal outcome of labetalol versus placebo in pregnancy-induced hypertensionPregnancy induced hypertension: a blood pressure of 140–160 mmHg systolic and 90–105 mmHg diastolic after 15 min rest on two occasions separated by 24 hHypoglycemia and bradycardia
Ramanathan J, 1988 [28]Woman with pre-eclampsia who were scheduled to undergo caesarean section under general anesthesia receiving labetalol pretreatmemt or no antihypertensive therapy before induction of anesthesian = 15 cases vs. n = 10 controlsUnited StatesRCTTo study the effectiveness of labetalol in attenuating the hypertensive and tachycardiac responses associated with laryngoscopy and endotracheal intubation in pre-eclamptic women undergoing general anesthesia for caesarean sectionPre-eclampsia (diastolic blood pressure 96 to 120 mmHg and proteinuria) in combination with caesarean sectionHypoglycemia and bradycardia
Ashe RG, 1987 [46]Primigravida’s with severe hypertension in pregnancy at 32 weeks’ gestation or more receiving labetalol or dihydrallazinen = 10 cases vs. n = 10 controlsSouth AfricaRCTTo compare the efficacy of dihydralazine with labetalol when administered as intravenous infusions to primigravida’s with severe hypertension in pregnancy at 32 weeks’ gestation or moreSevere hypertension in pregnancy (a diastolic blood pressure of 110 mmHg or more (Korotkoff phase IV sound), which had not settled after 2 h bed rest and sedation with phenobarbitone (sodium gardenal 200 mg intramuscularly))Hypoglycemia
Mabie WC, 1987 [47]Pregnant women with hypertension during pregnancy or in the puerperium receiving labetalol or hydralazinen = 40 cases vs. n = 20 controlsUnited StatesRCTTo compare the safety and efficacy of intravenous labetalol and intravenous hydralazine hydrochloride for acutely lowering blood pressure in the pregnant or recently postpartum patientPre-eclampsia and chronic hypertension with or without superimposed pre-eclampsiaHypoglycemia and bradycardia
Boutroy MJ, 1986 [48]Hypertensive mothersn = 7FranceCase seriesTo evaluate the possible risk of exposure to beta blockers of newborn infants breast-fed by mothers being treated with acebutololHypertension in pregnancyBradycardia
Macpherson M, 1986 [49]Infants born to women with hypertensive disease of pregnancy who had received labetalol for at least 7 days before delivery although some had begun treatment at 16 weeks gestationn = 11 cases vs. n = 11 controlsEnglandCase–controlTo examine a number of aspects of sympathetic function in infants born to labetalol-treated mothers compared with untreated controls to see if there were any clinically important effects of combined alfa and beta blockadeHypertensive disease of pregnancyHypoglycemia and bradycardia
Högstedt S, 1985 [50]Women with mild and moderate hypertension in pregnancy treated with metoprolol and hydralazine vs. controln = 82 cases vs. n = 79 controlsSwedenRCTTo assess whether treatment with metoprolol, a beta-1 selective adrenoceptor blocking agent, in combination with hydralazine is of benefit for the mother and/or the fetus as compared with non-pharmacological treatment, in mild to moderate hypertension of pregnancyA diastolic blood pressure of at least 90 mmHg on two or more occasions during pregnancyHypoglycemia and bradycardia
Reynolds B, 1984 [51]Women who developed hypertension in the last trimester of pregnancy received Atenolol or placebon = 60 cases vs. n = 60 controlsScotlandRCTTo describe the findings of pediatric follow up to 1 year of age after the use of atenolol in pregnancy-associated hypertensionPregnancy-associated hypertensionBradycardia
Williams ER, 1983 [52]Women with mild to moderate hypertensionn = 9 Acebutolol and n = 11 MethyldopaEnglandCase–controlTo compare acebutolol with methyldopa in hypertensive pregnancyA blood pressure of 130/90 mmHg or above, a systolic pressure of 135 mmHg or above or a diastolic pressure of 85 mmHg or aboveHypoglycemia and bradycardia
Rubin PC, 1983 [53]Women with mild to moderate pregnancy-associated hypertension who were also initially managed conventionally by bed rest received atenolol or placebon = 46 cases vs. n = 39 controlsScotlandRCTTo examine the efficacy and safety of atenolol in the treatment of pregnancy-associated hypertensionPregnancy-associated hypertension: a blood-pressure between 140 and 170 mmHg systolic or between 90 and 110 mmHg diastolic (after 10 mins’ rest supine or after 5 mins’ standing) on two occasions separated by 24 hHypoglycemia and bradycardia
Liedholm H, 1983 [54]Hypertensive pregnanciesn = 88 cases vs. n = 22 controlsSwedenCohort studyTo determine the effects of atenolol and metoprolol on maternal blood pressure and on the fetus and new-bornChronic or pregnancy-related hypertensionHypoglycemia
Liedholm H, 1983 [27]Pregnant women under treatment with atenolol for hypertension (during pregnancy or in the peripartum)n = 7SwedenCase seriesTo investigate atenolol’s ability to cross the human placental barrier and to study the excretion of atenolol in breast milk.Hypertension in pregnancyBradycardia
Livingstone I, 1983 [55]Pregnancy-associated hypertension treated with propranolol or methyldopan = 14 cases and n = 14 controlsAustraliaRCTTo compare propranolol with methyldopa in hypertensive pregnancyA blood pressure of 140/90 or above, on two consecutive readings at least twenty-four hours apart.Hypoglycemia and bradycardia
Dubois D, 1983 [26]High-risk pregnancies with hypertension using beta blockersn = 125FranceCase seriesTo investigate the outcome of beta blocker use in high-risk pregnanciesHypertension in pregnancyHypoglycemia
Boutroy MJ, 1982 [56]Children born from hypertensive pregnant women treated with acebutololn = 31FranceCase seriesTo determine the pharmacokinetics of acebutolol in the mother, as well as its placental transfer, and the pharmacokinetics in the fetusChronic or pregnancy-associated hypertension, after failure of strict bed rest and methyldopa with or without hydralazineBradycardia
Rubin PC, 1982 [57]Infants of women using atenolol for management of essential hypertension in pregnancyn = 9ScotlandCase seriesTo report the experience of using atenolol for several weeks during pregnancy in the management of essential hypertensionSystolic blood pressure exceeding 140 mmHg or diastolic pressure exceeding 90 mmHg on two separate occasions at least one day apartHypoglycemia and bradycardia
Sandström B, 1982 [58]Pregnant women with hypertension treated with metoprolol combined with thiazide or hydralazine compared with women treated with hydralazine and a thiaziden = 184 cases (n = 101 with thiazide and n = 83 with hydralazine and n = 97 controlsSwedenCase–controlTo report further experiences of using metoprolol in hypertension of pregnancy. (In addition to a previous study)Pregnancy-induced hypertension, pre-existing hypertension, eclampsia and hypertension with moderate/marked proteinuriaHypoglycemia and bradycardia
Garden A, 1982 [59]Women with severe hypertension in pregnancy treated with labetalol or dihydralazinen = 3 cases vs. n = 3 controlsSouth AfricaRCTTo compare the effect of labetalol and dihydralazine in increasing doses in woman with severe hypertension in pregnancySevere hypertension and imminent eclampsia or eclampsiaBradycardia
Dumez Y, 1981 [60]Infants born to mothers who received acebutolol or methyldopa during pregnancyn = 10 cases vs. n = 10 controlsFranceCase–controlTo evaluate any deleterious effect of the beta-adrenergic-blocking agent in newborn infants.If the diastolic blood pressure exceeded 90 mm Hg on two occasions at least 24 h apart during pregnancyHypoglycemia and bradycardia
Bott-Kanner G, 1980 [61]Infants of mothers treated with propranolol and hydralazine because of longstanding hypertension during pregnancyn = 14IsraelCase seriesTo assess the efficiency of a combination of hydralazine and propranolol in the management of pregnant patients with essential hypertensionEssential hypertensionHypoglycemia
O’Hare MF, 1980 [62]Hypertensive pregnant women receiving sotaloln = 12Northern IrelandCase seriesTo study the effects and distribution of sotalol by administering it as sole therapy to a group of chronically hypertensive pregnant women.Chronic or pregnancy-induced hypertensionHypoglycemia and bradycardia
Gallery ED, 1979 [63]Pregnant women with moderately severe hypertension treated with oxprenolol or methyldopan = 26 cases vs. n = 27 controlsAustraliaRCTTo examine the effects of antihypertensive treatment more
closely and to evaluate alternative forms of treatment
Moderately severe hypertension in pregnancyHypoglycemia
Pruyn SC, 1979 [64]Infants from mothers who used propranolol chronically during pregnancyn = 12United StatesCase seriesTo examine maternal, fetal and neonatal complications of propranolol therapy in pregnancyThyrotoxicosis, hypertension, Barlow syndrome with arrhythmia, Lown-Ganong-Levine syndrome and supraventricular/paroxysmal atrial tachycardiaHypoglycemia and bradycardia
Eliahou HE, 1978 [65]Infants from mothers treated with propranolol during pregnancyn = 22IsraelCase seriesTo report the experience of 25 women who received propranolol orally for the treatment of hypertension during 26 pregnancies with 22 liveborn infantsEssential hypertension, recurrent hypertension of pregnancy, pre-eclampsia and unilateral chronic pyelonephritisHypoglycemia
Abbreviations: HDP: Hypertensive Disorders in Pregnancy, HELLP: Hemolysis, Elevated Liver enzymes and Low Platelets, RCT: Randomized Controlled Trial.

3.2. Risk of Bias Assessment

3.2.1. RCTs

Amongst the 18 RCTs included, 15 were classified as having a high risk of overall bias [28,36,38,41,42,44,45,46,47,50,51,53,55,59,63], two had some concerns [33,40] and one low risk [29]. Most of the RCTs had some concerns for the domains of the randomization process since the process of allocation concealment was not mentioned, which describes deviations from the intended interventions and bias due to selection of the reported results with an absence of an a priori registered trial protocol. The risk of bias in the RCTs is shown in Table 4.

3.2.2. Non-RCTs

Amongst the 13 non-RCTs, four had critical [32,39,54,60], six had serious [31,34,43,49,52,58] and three had a moderate risk of overall bias [30,35,37]. Most of the studies had issues of confounding, selection bias, bias in classification of interventions and selective reporting. Table 5 shows the risk of bias in non-randomized controlled trials. Table 6 shows the quality of the nine case series [26,27,48,56,57,61,62,64,65]. Table 7 shows the quality of the 15 case reports [66,67,68,69,70,71,72,73,74,75,76,77,78,79,80].

3.3. Bradycardia

Forty-one of the fifty-five included articles examined whether bradycardia was found in neonates exposed to beta-blockers either in utero or during lactation [27,28,30,32,33,34,35,37,38,40,43,44,45,47,48,49,50,51,52,53,55,56,57,58,59,60,62,64,67,68,69,70,71,72,73,74,75,76,77,78,79]. Table 8 presents 28 of the articles [27,28,30,32,33,34,35,37,38,40,43,44,45,47,48,49,50,51,52,53,55,56,57,58,59,60,62,64] that reported on the heart rate of neonates exposed to beta-blockers in utero. The other thirteen articles are case reports [67,68,69,70,71,72,73,74,75,76,77,78,79], which are described in Section 3.6. One case in the study of Boutroy et al. [48] had hypotension. However, the extent of the hypotension and the need for treatment was not described [48].

3.3.1. Beta-Blocker vs. Control Group without a Beta-Blocker

Seven of the included articles [28,32,34,35,37,43,49] studied the heart rate of neonates exposed to a beta-blocker compared to a control group without beta-blocker exposure. These controls had mothers with hypertensive diseases and were exposed to antihypertensive drugs other than beta-blockers. However, in these studies not a specific other agent, such as methyldopa, was compared to the beta-blocker group. Two of these seven articles [32,35] showed that bradycardia occurred significantly more in neonates exposed to a beta-blocker in-utero. Mazkereth et al. [32] showed that 3.9% of the neonates of mothers treated with propranolol, labetalol or metoprolol experienced bradycardia, while bradycardia did not occur in the control group (p = 0.03). The six neonates with documented bradycardia were asymptomatic and were discharged following 24 h of non-bradycardic heart monitoring [32]. None of the neonates needed to be admitted to the neonatal intensive care unit [32]. Bateman et al. [35] observed a 30% increase in the risk of neonatal bradycardia in infants born to mothers using beta-blockers. The other five articles [28,34,37,43,49] showed no significant difference in the occurrence of bradycardia. In one of these studies the mother received labetalol solely as a short-term pretreatment for anesthesia prior to cesarean section [28].

3.3.2. Beta-Blocker vs. Placebo

One of four studies comparing a beta-blocker exposed group with a placebo group observed that bradycardia occurred more often in neonates exposed to atenolol when compared with the placebo group (39.1 vs. 10.3 %, p < 0.01) [53]. In none of the cases was treatment for bradycardia needed [53]. The three other studies did not find a significant difference between the beta-blockers exposed group and the placebo group [45,51,81].

3.3.3. Beta-Blocker vs. Methyldopa

Six articles [30,33,38,52,55,60] studied the difference in the heart rate of neonates exposed to either a beta-blocker or methyldopa in utero. One of these studies [60] found a significantly lower heart rate in neonates exposed to acebutolol when compared to those exposed to methyldopa (see Table 8) and therefore concluded that acebutolol has a long-lasting neonatal hemodynamic effect. However, another study comparing acebutolol to methyldopa found no signs of bradycardia in both groups [52].
Table 8. Studies with bradycardia as outcome measure.
Table 8. Studies with bradycardia as outcome measure.
ArticleStudy GroupsBradycardiaHeart Rate
(Beats per Minute)
Definition of BradycardiaTime of Control of Bradycardia
Kayser A, 2020 [30]ß-blocker vs. methyldopa
ß-blocker vs. non-hypertensive mother
5/252 (2.0%) vs. 5/199 (2.5%) (NS)
5/252 (2.0%) vs. 5/588 (0.8%) (NS)
Diagnosis of bradycardia was retrieved from medical reportsN
Mazkereth R, 2019 [32]ß-blocker vs. control6/153 (3.9%) vs. 0/153 (0%)
p = 0.030
Heart rate < 100 bpmIn the first 48 h after birth
Easterling T, 2019 [33]Labetalol vs. nifedipine
Labetalol vs. methyldopa
0/280 (0%) vs. 0/297 (0%)
0/280 (0%) vs. 0/298 (0%)
Heart rate < 110 bpmN
Thewissen L, 2017 [34]Labetalol vs. control0/22 vs. 0/22 vs. 0/22 NIn the first 24 h after birth
Bateman BT, 2016 [35]ß-blocker vs. control
Labetalol vs. control
Metoprolol vs. control
Atenolol vs. control
Propensity-score 1 corrected available
165/10,585 (1.6%) vs. 11,659/2,281,531 (0.5%)
124/6748 (1.8%) vs. 11,659/2,281,531 (0.5%)
12/1485 (0.8%) vs. 11,659/2,281,531 (0.5%)
12/1121 (1.1%) vs. 11,659/2,281,531 (0.5%)
Heart rate ≤ 100 bpmN
Heida KY,
2012 [37]
Labetalol vs. control
Labetalol i.v. vs. labetalol oral
4/55 (7.3%) vs. 1/54 (1.9%) p = 0.18
5.4 vs 11.1%
p = 0.39
Heart rate < 100 bpmIn the first minutes after birth and during the first 48 h
Verma R, 2012 [38]Labetalol vs. methyldopa1/45 (2.22%) vs. 0/45 (0%) (NS) NN
Vigil-De Gracia P, 2006 [40]Labetalol vs. hydralazine11/103 (10.6%) vs. 2/102 (1.9%) (p = 0.008) Heart rate < 110 bpmN
Munshi UK, 1992 [43]Labetalol vs. control6/48 (12.5%) vs 4/81 (5%) (NS) Heart rate < 100 bpmAt 5-min as part of Apgar scoring
Bott-Kanner G, 1992 [44]Pindolol vs. placebo2 Heart rate < 100 bpmDuring the first 24 h after birth
Pickles CJ, 1989 [45]Labetalol vs. placebo4/70 (5.7%) vs. 4/74 (5.4%) Heart rate < 120 bpmAt five minutes
Ramanathan J, 1988 [28]Labetalol vs. control0/15 (0%) vs. 0/10 (0%)138.2 ± 2.5 vs. 144 ± 3.2 (NS)NDuring 10–20 min after birth and thereafter for 12 to 24 h
Mabie WC, 1987 [47]Labetalol vs. hydralazine0/13 (0%) vs. 0/6 (0%) Heart rate < 110 bpmN
Macpherson M, 1986 [49]Labetalol vs. control No difference between the two groupsNAt 2, 4, 8,16, 24, 48 and 72 h after birth
Boutroy MJ, 1986 [48]3
Högstedt S, 1985 [50]Metoprolol and hydralazine vs. control (intended-to-treat) 4
Metoprolol and hydralazine vs. control (cause–effect)
1/82 (1.2%) vs. 4/79 (5.1%)
1/69 (1.4%) vs. 3/66 (4.5%)
NN
Reynolds B, 1984 [51]5
Williams ER, 1983 [52]Acebutolol vs. methyldopa0/9 vs. 0/11 NN
Rubin PC, 1983 [53]Atenolol vs. placebo18/46 (39.1%) vs. 4/39 (10.3%) (p < 0.01) Heart rate < 120 bpmContinuously recorded in the first 24 h after birth
Liedholm H, 1983 [27]Atenolol (no control group)6 NN
Livingstone I, 1983 [55]Propranolol vs. methyldopa0/14 (0%) vs. 0/14 (0%) NDuring 48 h after birth
Boutroy MJ, 1982 [56]Acebutolol (no control group)12/31 (38.7%) Basal heart rate < 120 beats per minute and lasting longer than 1 hDuring 72 h after birth
Sandström B, 1982 [58]Bendroflumethiazide + metoprolol vs. metoprolol + hydralazine vs. Bendroflumethiazide + hydralazine7/101 vs. 1/83 vs. 16/97 (8/184 vs. 16/97) Heart rate < 100 bpmAt birth
Garden A, 1982 [59]Labetalol vs. hydralazine3/3 (100%) vs. 0/3 (0%) Heart rate < 100 bpmImmediately after birth
Rubin PC, 1982 [57]Atenolol (no control group)0/9 (0%) Heart rate < 120 bpmDuring 24 h after birth
Dumez Y, 1981 [60]Acebutolol vs. methyldopa Day 1: 118 ± 19 vs. 132 ± 9 (p < 0.05)
Day 2: 123 ± 18 vs. 139 ± 10 (p < 0.05)
Day 3: 126 ± 21 vs. 148 ± 12 (p < 0.02)
NDaily during the 3 first days after birth, when the babies were sleeping
O’Hare MF, 1980 [62]Sotalol (no control group)6/12 (50%) Heart rate < 120 bpmFour-hourly for at least 24 h
Pruyn SC, 1979 [64]Propranolol (no control group)1/12 (8.3%) NN
Abbreviations: N: is not described in article; NS: not significant; bpm: beats per minute. 1 PS-matched: Propensity scores were estimated using a logistic regression model in which exposure was the dependent variable and was estimated on the basis of 5 groups of potential confounders of the planned analysis: demographic characteristics, medical conditions, obstetrical conditions, maternal medications, and measures of healthcare use [35]. 2 As regards other outcome variables, namely, the Apgar score, respiratory and heart rate at delivery, hypoglycemia and jaundice during the first 24 h—the differences between the two treatment groups were inconsistent and non-significant [44]. 3 Hypotension, bradycardia and transient tachypnea were observed in one infant. The article does not describe if there were any other cases of bradycardia. 4 For the analyses, the material was divided into two categories. The first group gives data for all the 161 patients whom it was the intention to treat. In the calculation of cause-and-effect, 26 patients were withdrawn from the original group of 161: in 5 patients of C-group, DBP exceeded 110 mmHg and they were then treated with antihypertensive drugs; one patient in T-group admitted that she had not taken the prescribed drugs; 6 patients gave birth to malformed or stillborn children and their data were not used for the calculation of Apgar scores, birth weights or other vitality signs. Eight patients in the T-group and 6 in the C-group gave birth within 2 weeks after admission to the study, and these 14 women were excluded from the cause-and-effect analyses because of the short treatment period [50]. 5 One infant in the placebo group had a bradycardia in the first 12 h of life. The article does not describe if there were any other cases of bradycardia. 6 Bradycardia was only investigated in one of the seven infants [27]. At no time did this infant have bradycardia or any other clinical sign of beta-blockade [27].

3.3.4. Beta-Blocker vs. Hydralazine

Three articles [40,47,59] studied the effects of beta-blockers compared to hydralazine on the heart rate of neonates after being exposed in utero. Vigil et al. [40] observed a significantly higher rate of bradycardia in neonates exposed to labetalol compared with neonates exposed to hydralazine. In the study of Garden et al. [59] all three infants in the labetalol group were born with a bradycardia compared to none of the three neonates who were exposed to hydralazine. All three infants in the labetalol group were growth-retarded [59]. On the other hand, Mabie et al. [47] found no differences between both groups (40 cases labetalol vs. 20 hydralazine controls) regarding neonatal bradycardia.

3.3.5. No Control Group

Three articles [27,56,62] studied the effect of in utero exposure to beta-blockers on neonatal heart rate without comparison to a control group. Boutroy et al. [56] observed bradycardia, defined as a basal heart rate of less than 120 beats/minute and lasting longer than one hour, in twelve of the 31 neonates exposed to atenolol. O’Hare et al. [62] detected bradycardia, also defined as less than 120 beats/minute, in six of the twelve neonates who were exposed to sotalol in utero. The heart rate in these neonates was in a range from 90 to 120 beats/minute and stayed present for up to 25 h after birth in five neonates [62]. The neonates did not suffer from any negative symptoms of the bradycardia [62]. Another study [64] noted bradycardia in one of the twelve neonates exposed to propranolol in utero. This neonate was born only 29 min after the last dose of propranolol [64].

3.3.6. Meta-Analyses for the Outcome Bradycardia

Funnel plot evaluation and Egger’s tests of the included RCTs in the meta-analyses for the outcome bradycardia indicated no publication bias (Figure 2a). The regression test however indicated publication bias for the proportion-based meta-analysis for bradycardia (Figure 2b). Beta-blockers possibly resulted in a higher risk of bradycardia when compared to other drugs or placebo or no therapy as assessed by the meta-analysis of RCTs (Relative risk (RR), 95% Confidence Interval (CI): 2.36, 1.33–4.18), with the CoE being low (Figure 3, Table 9). A sub-group analysis of RCTs revealed that the risk of bradycardia was possibly higher with beta-blockers when compared to placebo or no therapy (RR, 95% CI: 2.22, 1.07–4.64) and hydralazine (RR, 95% CI: 6.66, 1.61–27.57), but possibly similar when compared to methyldopa (RR, 95% CI: 11.0, 0.02–7032.32) and calcium channel blockers (RR not calculable due to zero events) (Figure 3). Clinical benefit or harm could not be excluded for the comparison beta-blockers versus placebo, no therapy or other drugs, as assessed from results of meta-analyses of cohort studies and case–control studies, because the estimates were statistically non-significant and the CoE was very low to low (Figure 4, Table 9). However, sub-group analyses of cohort studies (RR, 95% CI: 3.03, 2.60–3.53) and case–control studies (RR, 95% CI: 4.01, 1.50–10.75) showed that beta-blockers were possibly associated with higher risk of bradycardia when compared to placebo or no therapy, and a possibly similar risk when compared to methyldopa (Figure 4). The proportion-based meta-analysis showed that the overall incidence of bradycardia with beta-blockers was 6% (95% CI: 2%–13%) with statistically significant difference in the incidence between the various types of beta-blockers (p = 0.002) (Figure 5). While propranolol (2% (95% CI: 0%–16%)), metoprolol combined with hydralazine (3% (95% CI: 1–6%)) and labetalol (4% (95% CI: 0%–11%)) had the lowest risk, sotalol had the highest risk of possibly being associated with bradycardia (50% (95% CI: 22%–78%)).

3.4. Hypoglycemia

Forty-seven out of the 55 included articles investigated the occurrence of hypoglycemia in neonates exposed to beta-blockers either in utero or during lactation [26,28,29,30,31,32,33,35,36,37,38,39,40,41,42,43,44,45,46,47,49,50,52,53,54,55,57,58,60,61,62,63,64,65,66,67,68,70,72,73,74,75,76,77,78,79,80]. Table 10 shows 34 of the articles reporting hypoglycemia and the definitions used by the authors [26,28,29,30,31,32,33,35,36,37,38,39,40,41,42,43,44,45,46,47,49,50,52,53,54,55,57,58,60,61,62,63,64,65]. The other 13 articles investigating hypoglycemia are case reports and are described in Section 3.6.

3.4.1. Beta-Blocker vs. Control Group without a Beta-Blocker

Eight articles [28,32,35,37,39,41,43,49] studying the blood glucose levels in neonates compared a group exposed to beta-blockers with a control group of neonates non-exposed to beta-blockers in utero. Five out of these eight articles [32,35,39,41,43] showed a significantly higher risk for hypoglycemia in neonates exposed to beta-blockers in utero (Table 10). For example, in the article of Mazkereth et al. [32] hypoglycemia occurred more often in the beta-blocker exposed neonates than in the non-exposed neonates (30.7% vs. control 18.3%, p = 0.016). Darcie et al. [41] showed that 65% of the neonates who were exposed to beta-blockers in utero developed hypoglycemia when compared to only 28,5% of the non-exposed neonates in the control group (p < 0.05). Kumar et al. [31] found out that the odds of neonatal hypoglycemia are 1.75 times higher when the baby was exposed to beta-blockers in utero. Kumar et al. [31] reported that the risk for developing neonatal hypoglycemia was 3.15 times higher when the maternal beta-blocker usage was combined with maternal diabetes during pregnancy. The study of Ramanathan et al. [28] did not find an increased risk for hypoglycemia. However, in this study labetalol was prescribed for short-term use solely for the induction of anesthesia [28].

3.4.2. Beta-Blocker vs. Placebo

Four articles [29,44,45,53] compared neonates exposed in utero to beta-blockers with neonates exposed to a placebo. None of these articles found a significant difference regarding hypoglycemia between the two study groups. However, in the study of Bigelow et al. [29] mothers received propranolol solely short term for the induction of labor.

3.4.3. Beta-Blocker vs. Methyldopa

Seven articles [30,33,38,52,55,60,63] studied neonates born after in utero exposure to either a beta-blocker or methyldopa. Gallery et al. [63] showed that the blood sugar levels of neonates exposed to methyldopa in utero were significantly lower than those of neonates exposed to oxprenolol. None of the neonates in the oxprenolol group of this study were clinically hypoglycemic, meanwhile two neonates in the methyldopa group were clinically hypoglycemic [63]. The studies of Verma and Easterling et al. [33,38] showed no significant differences in neonatal hypoglycemia after labetalol or methyldopa exposure in utero.

3.4.4. Beta-Blocker vs. Hydralazine

Four articles [36,40,46,47] studied the difference in effect of in utero exposure to a beta-blocker and in utero exposure to hydralazine on neonates. None of these articles found a significant difference in occurrence of hypoglycemia in these neonates [36,40,46,47]. In the study of Ashe et al. [46] one neonate was diagnosed with hypoglycemia; however, this neonate was severely growth-retarded, which is a known risk factor for hypoglycemia.

3.4.5. No Control Group

Seven articles [26,54,57,61,62,64,65] examined the effect of beta-blockers on the neonate without comparing with a control group. Dubois et al. [26] found one neonate with a low cord blood glucose level who was exposed to acebutolol in utero. Another study done by O’Hare et al. [62] showed that one of the small for gestational age (SGA) infants suffered an episode of hypoglycemia one hour after birth after being exposed to sotalol in utero. This neonate responded well to a single dose of dextrose [62]. They found no additional symptoms suggesting an adverse effect of sotalol in the twelve infants included in the study and therefore did not adjust or discontinue the use of sotalol by the mothers [62]. In the study of Pruyn et al. [64], three of the twelve neonates who were in utero exposed to propranolol were diagnosed with hypoglycemia. One of those neonates was small for their gestational age, one was delivered by Cesarean section for fetal distress and one was the result of a precipitous delivery 29 min after the last dose of propranolol [64]. Eliahou et al. [65] measured the blood sugar in thirteen of the neonates who were in utero exposed to propranolol and these were all normal.

3.4.6. Meta-Analyses for the Outcome Hypoglycemia

A moderate CoE from meta-analyses of cohort studies indicated that beta-blockers were probably associated with a significantly higher risk of hypoglycemia when compared to placebo, no therapy or other drugs (RR, 95% CI: 3.01, 2.79–3.25) (Figure 6, Table 9). A sub-group analysis also revealed that beta-blockers were possibly associated with a higher risk of hypoglycemia when compared to placebo or no therapy (RR, 95% CI: 3.05, 2.82–3.29) and calcium channel blockers (RR, 95% CI: 2.42, 1.47–4.00), but not when compared with methyldopa (RR, 95% CI: 1.84, 0.48–7.03) (Figure 6).
Quite like the results from the cohort studies, the meta-analysis of case–control studies indicated that beta-blockers were possibly associated with a higher risk of hypoglycemia when compared to placebo, no therapy or other drugs (RR, 95% CI: 1.72, 1.133–2.22), with the CoE being very low (Figure 6, Table 9). The sub-group analysis indicated a possibly higher risk of hypoglycemia with beta-blockers when compared to placebo or no therapy (RR, 95% CI: 1.68, 1.03–2.73), but not when compared with methyldopa (RR, 95% CI: 6.00, 0.87–41.21) (Figure 6). While the funnel plot of the included RCTs and the Egger’s test indicated no publication bias, we did detect publication bias for the proportion-based meta-analysis based on the regression test (Figure 7a,b). Clinical benefit or harm could not be excluded for the outcome of hypoglycemia from the results of the meta-analysis of RCTs, due to the result being statistically non-significant and the CoE being low (Figure 8, Table 9). The proportion-based meta-analysis suggested that the incidence of hypoglycemia with the use of any beta-blocker might be 12% (95% CI: 7–19%), with it being lowest with metoprolol (3% (95% CI: 2–4%)) and labetalol (8% (95% CI: 2–16%)) (Figure 9). Atenolol had the highest association with hypoglycemia (35% (95% CI: 3–77%)).

3.5. Lactation

Most of the included studies reported no specific information regarding the type of feeding of the neonate. Only the study by Kumar et al. [31] included the type of feeding into their multiple regression analysis. Interestingly, they showed that formula feeding was a risk factor for hypoglycemia (p < 0.001) and not breast milk [31]. Moreover, Boutroy et al. [48] described a case with symptoms of bradycardia and hypotension. This child was exposed to high concentrations of acebutolol through breast milk [48]. Another study in children exposed to sotalol showed no bradycardia in the child with the highest concentration in breast milk [62]. In the study of Liedholm et al. [27] no signs of beta blockade were observed after exposure to atenolol. O’Hare [62] and Liedholm [27], found a ratio of maternal plasma concentrations versus breast milk concentrations of 1:5.4 (sotalol) and 1:4.5 (atenolol). Although the concentrations in breast milk are higher than in maternal plasma, the corresponding expected serum concentrations in infants would be less than the daily dose for hypertensive patients in general [27,58]. However, according to O’Hare et al. [62] the expected plasma concentration in a breastfed infant for sotalol is expected to be within the therapeutic dose range.

3.6. Case Reports

Fifteen case reports [66,67,68,69,70,71,72,73,74,75,76,77,78,79,80] were included in this systematic review (Table 11). Eleven case reports [67,68,70,72,73,74,75,76,77,78,79] reported the occurrence of both hypoglycemia as well as bradycardia in a neonate. Two other articles [66,80] reported hypoglycemia in a neonate exposed to a beta-blocker in utero. Moreover, two other case reports [69,71] reported bradycardia after beta-blocker exposure in utero.

4. Discussion

There is an ongoing debate as to whether exposure to beta-blockers in utero and through lactation negatively affects the neonate, whereas beta-blockers are often used in pregnant women with cardiovascular diseases. As it is unknown to what extent beta-blockers harm the neonate, best clinical practice about heart rate and glucose monitoring is inconclusive. In this systematic review and meta-analysis, the occurrence of the postnatal neonatal side effects of hypoglycemia and bradycardia among neonates exposed to beta-blockers in utero or during lactation were evaluated systematically. Our overall aim was to assess the need of postnatal monitoring and observation of the neonate. Moreover, differences in neonatal risk between the different types of beta-blockers were studied. To the best of our knowledge, this is the first systematic review and meta-analysis evaluating the neonatal outcomes associated with fetal beta-blocker exposure.
Our meta-analysis showed that in utero exposure to beta-blockers possibly results in a higher risk for neonatal bradycardia. While our sub-group analysis of RCTs revealed that the risk of bradycardia was possibly higher with beta-blockers when compared to placebo or no therapy, this risk was possibly similar when compared to methyldopa, suggesting other causal factors for bradycardia rather than the beta-blocker exposure. Another explanation could be that methyldopa might be associated with neonatal bradycardia as well. Bradycardia has been reported as a side-effect of methyldopa with an unknown incidence [81]. This possibly explains the lack of difference between both groups of antihypertensive drugs. Future studies regarding the effect of the maternal use of methyldopa on the neonate are needed. However, clinical harm could not be excluded for the use of beta-blockers. Importantly, even if beta-blockers induce a higher risk for neonatal bradycardia, the clinical relevance of this in terms of hypotension and the required treatment and hospital stay need to be elaborated further in future studies. The treatment for resulting hypotension was not described in any of the reports and neither were other serious adverse events. The majority of case reports reported bradycardia after beta-blocker exposure. However, there is a possibility of publication bias being associated with evidence from case reports.
Regarding hypoglycemia, our meta-analysis indicated that in utero exposure to beta-blockers was probably associated with a significantly higher risk of hypoglycemia when compared to placebo, no therapy or other drugs than beta-blockers. However, no difference was found in comparison to methyldopa exposure. Yet again, the effects of methyldopa on the neonate need to be studied. Since beta-blocker exposure was probably associated with a higher risk for hypoglycemia, which is dangerous if untreated, we do suggest blood glucose monitoring during the first 24 h after birth for all beta-blockers.
Regarding the different types of beta-blockers, propranolol, metoprolol (combined with hydralazine) and labetalol had the lowest risk for bradycardia and sotalol had the highest risk of possibly being associated with bradycardia in neonates. Moreover, metoprolol and labetalol had the lowest risk for hypoglycemia and atenolol had the highest risk of possibly being associated with hypoglycemia in neonates. Fortunately, labetalol and metoprolol are more often prescribed than sotalol and atenolol during pregnancy and lactation [1]. Fetal and neonatal drug exposure and effects following maternal pharmacotherapy are influenced by multiple drug specific characteristics, i.a. lipophilicity, neonatal half-life, different dosages, the duration of maternal exposure as well as via lactation, the aspects of placental passage of beta-blockers, intra- and inter-patient variability in disposition, and their varying potency on neonatal bradycardia and hypoglycemia. Generally, fetal and neonatal exposure and effects are increased for drugs with a longer neonatal elimination half-life, more lipophilic drugs (leading to increased placental passage as well as disposition to breastmilk), increased dosages, and an increased duration of maternal treatment. This profile has not yet been reported for each beta-blocker used in clinical practice and requires further investigation. Moreover, future research may focus on neonatal effects after exposure to beta-blockers through lactation, as available literature is sparse.
The strength of this systematic review and meta-analysis is its clinically relevant scope along with the use of a robust search strategy, assessment of the overall CoE with the GRADE system, rating risks of biases using standard tools and conducting meta-analyses for the studied outcomes. However, this review has its limitations. Firstly, the definitions used for bradycardia and hypoglycemia were widely variable between the studies. For example, some studies defined bradycardia as a heart rate of less than 100 beats per minute while others used 120 beats per minute as the cut-off. Some other studies did not mention the definition at all. The same yielded true for the cut-off value for defining hypoglycemia. Unfortunately, since most studies only provided the occurrence of bradycardia or hypoglycemia instead of the raw data, we were unable perform any meta-regression. Secondly, only a few studies provided data on lactation. It could be that exposure through breastfeeding contributed to the positive findings in some studies as transmission of various beta-blockers to breastmilk has been reported [7,82,83,84]. Finally, we were unable to take into account the time of initiation of beta-blocker treatment, the total dose and duration of exposure, the exact indication and different gestational ages of the neonates due to lack of information.

5. Conclusions

Our meta-analysis determined a probable risk of hypoglycemia and possible risk of bradycardia in neonates upon neonatal beta-blocker exposure in utero or through lactation. As the CoE was moderate for the outcome of hypoglycemia, we suggest monitoring glucose levels in beta-blocker-exposed neonates until 24 h after birth irrespective of the type of used beta-blocker. Monitoring of the heart rate could be considered for 24 h, although the clinical implication of this needs to be evaluated in future studies. The necessity for heart rate monitoring may be adjusted according to the type of beta-blocker neonates are exposed to, which is most relevant for sotalol, and less for propranolol and labetalol.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19159616/s1, Search strategy.

Author Contributions

Conceptualization R.d.B., S.L.v.D., S.J.F., R.B.F. and G.E.v.d.B.; methodology S.L.v.D. and V.V.R.; software V.V.R.; validation, V.V.R. and S.J.F.; formal analysis V.V.R.; investigation R.d.B., S.L.v.D. and S.J.F.; resources N/A; data curation V.V.R.; writing—original draft preparation R.d.B., S.L.v.D., S.J.F., V.V.R., R.B.F. and G.E.v.d.B.; writing—review and editing R.d.B., S.L.v.D., S.J.F., V.V.R., S.H.P.S., R.B.F. and G.E.v.d.B.; visualization V.V.R.; supervision, R.B.F. and G.E.v.d.B.; project administration G.E.v.d.B.; funding acquisition N/A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors wish to thank Wichor M. Bramer from the Erasmus MC Medical Library for developing and updating the search strategies.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cea Soriano, L.; Bateman, B.T.; García Rodríguez, L.A.; Hernández-Díaz, S. Prescription of antihypertensive medications during pregnancy in the UK. Pharmacoepidemiol. Drug Saf. 2014, 23, 1051–1058. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Schneider, H.; Proegler, M. Placental transfer of beta-adrenergic antagonists studied in an in vitro perfusion system of human placental tissue. Am. J. Obstet. Gynecol. 1988, 159, 42–47. [Google Scholar] [CrossRef]
  3. Erkkola, R.; Lammintausta, R.; Liukko, P.; Anttila, M. Transfer of propranolol and sotalol across the human placenta. Their effect on maternal and fetal plasma renin activity. Acta Obstet. Gynecol. Scand. 1982, 61, 31–34. [Google Scholar] [CrossRef] [PubMed]
  4. Bateman, B.T.; Heide-Jørgensen, U.; Einarsdóttir, K.; Engeland, A.; Furu, K.; Gissler, M.; Hernandez-Diaz, S.; Kieler, H.; Lahesmaa-Korpinen, A.M.; Mogun, H.; et al. β-Blocker Use in Pregnancy and the Risk for Congenital Malformations: An International Cohort Study. Ann. Intern. Med. 2018, 169, 665–673. [Google Scholar] [CrossRef]
  5. Duan, L.; Ng, A.; Chen, W.; Spencer, H.T.; Nguyen, J.; Shen, A.Y.; Lee, M.S. β-Blocker Exposure in Pregnancy and Risk of Fetal Cardiac Anomalies. JAMA Intern. Med. 2017, 177, 885–887. [Google Scholar] [CrossRef] [Green Version]
  6. Kaye, A.B.; Bhakta, A.; Moseley, A.D.; Rao, A.K.; Arif, S.; Lichtenstein, S.J.; Aggarwal, N.T.; Volgman, A.S.; Sanghani, R.M. Review of Cardiovascular Drugs in Pregnancy. J. Womens Health 2019, 28, 686–697. [Google Scholar] [CrossRef]
  7. Shannon, M.E.; Malecha, S.E.; Cha, A.J. Beta blockers and lactation: An update. J. Hum. Lact. 2000, 16, 240–245. [Google Scholar] [CrossRef]
  8. Lunell, N.O.; Kulas, J.; Rane, A. Transfer of labetalol into amniotic fluid and breast milk in lactating women. Eur. J. Clin. Pharmacol. 1985, 28, 597–599. [Google Scholar] [CrossRef]
  9. Smith, M.T.; Livingstone, I.; Hooper, W.D.; Eadie, M.J.; Triggs, E.J. Propranolol, propranolol glucuronide, and naphthoxylactic acid in breast milk and plasma. Ther. Drug Monit. 1983, 5, 87–93. [Google Scholar] [CrossRef]
  10. Lwin, E.M.P.; Gerber, C.; Leggett, C.; Song, Y.; Ritchie, U.; Turner, S.; Hague, W.; Upton, R.; Garg, S. Estimation of Atenolol Transfer Into Milk and Infant Exposure During Its Use in Lactating Women. J. Hum. Lact. 2018, 34, 592–599. [Google Scholar] [CrossRef]
  11. Farmacotherapeutisch Compas. Bètablokkers, Systemisch. Available online: https://www.farmacotherapeutischkompas.nl/bladeren/groepsteksten/betablokkers__systemisch (accessed on 5 October 2021).
  12. Stomnaroska, O.; Petkovska, E.; Jancevska, S.; Danilovski, D. Neonatal Hypoglycemia: Risk Factors and Outcomes. Pril. (Makedon. Akad. Nauk. Umet. Odd. Med. Nauki.) 2017, 38, 97–101. [Google Scholar] [CrossRef] [Green Version]
  13. Burns, C.M.; Rutherford, M.A.; Boardman, J.P.; Cowan, F.M. Patterns of cerebral injury and neurodevelopmental outcomes after symptomatic neonatal hypoglycemia. Pediatrics 2008, 122, 65–74. [Google Scholar] [CrossRef]
  14. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; Group, P. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [Green Version]
  15. Sterne, J.A.C.; Savović, J.; Page, M.J.; Elbers, R.G.; Blencowe, N.S.; Boutron, I.; Cates, C.J.; Cheng, H.Y.; Corbett, M.S.; Eldridge, S.M.; et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. Bmj 2019, 366, l4898. [Google Scholar] [CrossRef] [Green Version]
  16. Sterne, J.A.; Hernán, M.A.; Reeves, B.C.; Savović, J.; Berkman, N.D.; Viswanathan, M.; Henry, D.; Altman, D.G.; Ansari, M.T.; Boutron, I.; et al. ROBINS-I: A tool for assessing risk of bias in non-randomised studies of interventions. Bmj 2016, 355, i4919. [Google Scholar] [CrossRef] [Green Version]
  17. Moola, S.M.Z.; Tufanaru, C.; Aromataris, E.; Sears, K.; Sfetcu, R.; Currie, M.; Qureshi, R.; Mattis, P.; Lisy, K.; Mu, P.-F. Chapter 7: Systematic reviews of etiology and risk. In JBI Manual for Evidence Synthesis; Aromataris, E., Munn, Z., Eds.; The Joanna Briggs Institute: Adelaide, Australia, 2020. [Google Scholar]
  18. Munn, Z.; Barker, T.H.; Moola, S.; Tufanaru, C.; Stern, C.; McArthur, A.; Stephenson, M.; Aromataris, E. Methodological quality of case series studies: An introduction to the JBI critical appraisal tool. JBI Evid. Synth. 2020, 18, 2127–2133. [Google Scholar] [CrossRef]
  19. Guyatt, G.H.; Oxman, A.D.; Kunz, R.; Brozek, J.; Alonso-Coello, P.; Rind, D.; Devereaux, P.J.; Montori, V.M.; Freyschuss, B.; Vist, G.; et al. GRADE guidelines 6. Rating the quality of evidence--imprecision. J. Clin. Epidemiol. 2011, 64, 1283–1293. [Google Scholar] [CrossRef]
  20. Guyatt, G.H.; Oxman, A.D.; Kunz, R.; Woodcock, J.; Brozek, J.; Helfand, M.; Alonso-Coello, P.; Glasziou, P.; Jaeschke, R.; Akl, E.A.; et al. GRADE guidelines: 7. Rating the quality of evidence--inconsistency. J. Clin. Epidemiol. 2011, 64, 1294–1302. [Google Scholar] [CrossRef]
  21. Guyatt, G.H.; Oxman, A.D.; Schünemann, H.J.; Tugwell, P.; Knottnerus, A. GRADE guidelines: A new series of articles in the Journal of Clinical Epidemiology. J. Clin. Epidemiol. 2011, 64, 380–382. [Google Scholar] [CrossRef]
  22. Santesso, N.; Glenton, C.; Dahm, P.; Garner, P.; Akl, E.A.; Alper, B.; Brignardello-Petersen, R.; Carrasco-Labra, A.; De Beer, H.; Hultcrantz, M.; et al. GRADE guidelines 26: Informative statements to communicate the findings of systematic reviews of interventions. J. Clin. Epidemiol. 2020, 119, 126–135. [Google Scholar] [CrossRef] [Green Version]
  23. R Core Team. R: A Language and Environment for Statistical Computing. Available online: https://www.R-project.org/ (accessed on 10 March 2022).
  24. Bansal, S.; Pawar, M. Haemodynamic responses to laryngoscopy and intubation in patients with pregnancy-induced hypertension: Effect of intravenous esmolol with or without lidocaine. Int. J. Obstet. Anesth. 2002, 11, 4–8. [Google Scholar] [CrossRef] [PubMed]
  25. Molvi, S.N.; Mir, S.; Rana, V.S.; Jabeen, F.; Rauoof Malik, A. Role of antihypertensive therapy in mild to moderate pregnancy-induced hypertension: A prospective randomized study comparing labetalol with alpha methyldopa. Arch. Gynecol. Obstet. 2012, 285, 1553–1562. [Google Scholar] [CrossRef] [PubMed]
  26. Dubois, D.; Petitcolas, J.; Temperville, B. Beta blocker therapy in 125 cases of hypertension during pregnancy. Clin. Exp. Hypertension. Part B Hypertens. Pregnancy 1983, 2, 41–59. [Google Scholar] [CrossRef] [PubMed]
  27. Liedholm, H. Transplacental passage and breast milk accumulation of atenolol in humans. Drugs 1983, 25, 217–218. [Google Scholar] [CrossRef]
  28. Ramanathan, J.; Sibai, B.M.; Mabie, W.C.; Chauhan, D.; Ruiz, A.G. The use of labetalol for attenuation of the hypertensive response to endotracheal intubation in preeclampsia. Am. J. Obstet. Gynecol. 1988, 159, 650–654. [Google Scholar] [CrossRef]
  29. Bigelow, C.A.; Pan, S.; Overbey, J.R.; Stone, J. Propranolol for Induction of Labor in Nulliparas trial a double-blind, randomized, placebo-controlled trial. American J. Obstet. Gynecol. MFM 2021, 3, 100301. [Google Scholar] [CrossRef]
  30. Kayser, A.; Beck, E.; Hoeltzenbein, M.; Zinke, S.; Meister, R.; Weber-Schoendorfer, C.; Schaefer, C. Neonatal effects of intrauterine metoprolol/bisoprolol exposure during the second and third trimester: A cohort study with two comparison groups. J. Hypertens. 2020, 38, 354–361. [Google Scholar] [CrossRef]
  31. Kumar, N.; Kumar, P.; Harris, N.; Monga, R.; Sampath, V. Impact of Maternal HbA1c Levels ≤6% and Race in Nondiabetic Pregnancies on Birthweight and Early Neonatal Hypoglycemia. J. Pediatr. 2020, 227, 121–127.e123. [Google Scholar] [CrossRef]
  32. Mazkereth, R.; Maayan-Metzger, A.; Leibovitch, L.; Schushan-Eisen, I.; Morag, I.; Straus, T. Short-term neonatal outcome among term infants after in-utero exposure to beta blockers. Isr. Med. Assoc. J. 2019, 21, 724–727. [Google Scholar]
  33. Easterling, T.; Mundle, S.; Bracken, H.; Parvekar, S.; Mool, S.; Magee, L.A.; von Dadelszen, P.; Shochet, T.; Winikoff, B. Oral antihypertensive regimens (nifedipine retard, labetalol, and methyldopa) for management of severe hypertension in pregnancy: An open-label, randomised controlled trial. Lancet 2019, 394, 1011–1021. [Google Scholar] [CrossRef] [Green Version]
  34. Thewissen, L.; Pistorius, L.; Baerts, W.; Naulaers, G.; Van Bel, F.; Lemmers, P. Neonatal haemodynamic effects following foetal exposure to labetalol in hypertensive disorders of pregnancy. J. Matern.-Fetal Neonatal Med. 2017, 30, 1533–1538. [Google Scholar] [CrossRef] [Green Version]
  35. Bateman, B.T.; Patorno, E.; Desai, R.J.; Seely, E.W.; Mogun, H.; Maeda, A.; Fischer, M.A.; Hernandez-Diaz, S.; Huybrechts, K.F. Late pregnancy β blocker exposure and risks of neonatal hypoglycemia and bradycardia. Pediatrics 2016, 138, e20160731. [Google Scholar] [CrossRef] [Green Version]
  36. Singh, R.; Singh, S.; Singh, S.; Agarwal, M.; Anand, S.; Yadav, N.K. Comparative study of efficacy and safety of intravenous labetalol and intravenous hydralazine in managing hypertensive emergencies in pregnancy. J Safog. 2016, 8, 185–188. [Google Scholar] [CrossRef] [Green Version]
  37. Heida, K.Y.; Zeeman, G.G.; Van Veen, T.R.; Hulzebos, C.V. Neonatal side effects of maternal labetalol treatment in severe preeclampsia. Early Hum. Dev. 2012, 88, 503–507. [Google Scholar] [CrossRef]
  38. Verma, R.; Lahon, K.; Tonpay, S.D.; Kale, V.J. A comparative randomised controlled parallel group study of maternal, fetal and neonatal outcomes of labetalol versus methyldopa in the treatment of new onset hypertension during pregnancy. Int. J. Pharma. Bio. Sci. 2012, 3, P201–P211. [Google Scholar]
  39. Davis, R.L.; Eastman, D.; McPhillips, H.; Raebel, M.A.; Andrade, S.E.; Smith, D.; Yood, M.U.; Dublin, S.; Platt, R. Risks of congenital malformations and perinatal events among infants exposed to calcium channel and beta-blockers during pregnancy. Pharmacoepidemiol. Drug Saf. 2011, 20, 138–145. [Google Scholar] [CrossRef]
  40. Vigil-De Gracia, P.; Lasso, M.; Ruiz, E.; Vega-Malek, J.C.; de Mena, F.T.; López, J.C. Severe hypertension in pregnancy: Hydralazine or labetalol. A randomized clinical trial. Eur. J. Obstet. Gynecol. Reprod. Biol. 2006, 128, 157–162. [Google Scholar] [CrossRef]
  41. Darcie, S.; Leone, C.R.; Calil, V.M.; Prescinotti, E.P.; Kahhale, S.; Zugaib, M. Glycemia in newborns of hypertensive mothers according to maternal treatment. Rev. Hosp Clin. 2004, 59, 244–250. [Google Scholar] [CrossRef]
  42. Paran, E.; Holzberg, G.; Mazor, M.; Zmora, E.; Insler, V. β-adrenergic blocking agents in the treatment of pregnancy-induced hypertension. Int. J. Clin. Pharmacol. Ther. 1995, 33, 119–123. [Google Scholar]
  43. Munshi, U.K.; Deorari, A.K.; Paul, V.K.; Singh, M. Effects of maternal labetalol on the newborn infant. Indian Pediatr. 1992, 29, 1507–1512. [Google Scholar]
  44. Bott-Kanner, G.; Hirsch, M.; Friedman, S.; Boner, G.; Ovadia, J.; Merlob, P.; Mor, N.; Modan, M.; Galai, N.; Rosenfeld, J.B. Antihypertensive therapy in the management of hypertension in pregnancy: A clinical double-blind study of pindolol. Clin. Exp. Hypertension. Part B Hypertens. Pregnancy 1992, 11, 207–220. [Google Scholar] [CrossRef]
  45. Pickles, C.J.; Symonds, E.M.; Broughton Pipkin, F. The fetal outcome in a randomized double-blind controlled trial of labetalol versus placebo in pregnancy-induced hypertension. Br. J. Obstet. Gynaecol. 1989, 96, 38–43. [Google Scholar] [CrossRef] [PubMed]
  46. Ashe, R.G.; Moodley, J.; Richards, A.M.; Philpott, R.H. Comparison of labetalol and dihydrallazine in hypertensive emergencies of pregnancy. S. Afr. Med. J. 1987, 71, 354–356. [Google Scholar] [PubMed]
  47. Mabie, W.C.; Gonzalez, A.R.; Sibai, B.M.; Amon, E. A comparative trial of labetalol and hydralazine in the acute management of severe hypertension complicating pregnancy. Obstet. Gynecol. 1987, 70, 328–333. [Google Scholar]
  48. Boutroy, M.J.; Bianchetti, G.; Dubruc, C. To nurse when receiving acebutolol: Is it dangerous for the neonate? Eur. J. Clin. Pharmacol. 1986, 30, 737–739. [Google Scholar] [CrossRef]
  49. Macpherson, M.; Broughton Pipkin, F.; Rutter, N. The effect of maternal labetalol on the newborn infant. Br. J. Obstet. Gynaecol. 1986, 93, 539–542. [Google Scholar] [CrossRef]
  50. Hogstedt, S.; Lindeberg, S.; Axelsson, O. A prospective controlled trial of metoprolol–Hydralazine treatment in hypertension during pregnancy. Acta Obstet. Gynecol. Scand. 1985, 64, 505–510. [Google Scholar] [CrossRef]
  51. Reynolds, B.; Butters, L.; Evans, J. First year of life after the use of atenolol in pregnancy associated hypertension. Arch. Dis. Child. 1984, 59, 1061–1063. [Google Scholar] [CrossRef]
  52. Williams, E.R.; Morrissey, J.R. A comparison of acebutolol with methyldopa in hypertensive pregnancy. Pharmatherapeutica 1983, 3, 487–491. [Google Scholar]
  53. Rubin, P.C.; Clark, D.M.; Butters, L. Placebo controlled trial of atenolol in treatment of pregnancy associated hypertension. Lancet 1983, 1, 431–434. [Google Scholar]
  54. Liedholm, H. Atenolol in the treatment of hypertension of pregnancy. Drugs 1983, 25, 206–211. [Google Scholar] [CrossRef]
  55. Livingstone, I.; Craswell, P.W.; Bevan, E.B. Propranolol in pregnancy three year prospective study. Clin. Exp. Hypertension. Part B Hypertens. Pregnancy 1983, 2, 341–350. [Google Scholar] [CrossRef]
  56. Boutroy, M.J.; Vert, P.; Bianchetti, G.; Dubrucq, C.; Morselli, P.L. Infants born to hypertensive mothers treated by acebutolol. Pharmacological studies in the perinatal period. Dev. Pharmacol. Ther. 1982, 4, 109–115. [Google Scholar] [CrossRef]
  57. Rubin, P.C.; Butters, L.; Low, R.A.; Reid, J.L. Atenolol in the treatment of essential hypertension during pregnancy. Br. J. Clin. Pharmacol. 1982, 14, 279–281. [Google Scholar] [CrossRef] [Green Version]
  58. Sandstrom, B. Adrenergic beta-receptor blockers in hypertension of pregnancy. Clin. Exp. Hypertension. Part B Hypertens. Pregnancy 1982, 1, 127–141. [Google Scholar]
  59. Garden, A.; Davey, D.A.; Dommisse, J. Intravenous labetalol and intravenous dihydralazine in severe hypertension in pregnancy. Clin. Exp. Hypertens. B 1982, 1, 371–383. [Google Scholar] [CrossRef]
  60. Dumez, Y.; Tchobroutsky, C.; Hornych, H.; Amiel-Tison, C. Neonatal effects of maternal administration of acebutolol. Br. Med. J. 1981, 283, 1077–1079. [Google Scholar] [CrossRef] [Green Version]
  61. Bott-Kanner, G.; Schweitzer, A.; Reisner, S.H. Propranolol and hydrallazine in the management of essential hypertension in pregnancy. Br. J. Obstet. Gynaecol. 1980, 87, 110–114. [Google Scholar] [CrossRef]
  62. O’Hare, M.F.; Murnaghan, G.A.; Russell, C.J.; Leahey, W.J.; Varma, M.P.; McDevitt, D.G. Sotalol as a hypotensive agent in pregnancy. Br J Obstet Gynaecol 1980, 87, 814–820. [Google Scholar] [CrossRef]
  63. Gallery, E.D.M.; Saunders, D.M.; Hunyor, S.N.; Gyory, A.Z. Randomised comparison of methyldopa and oxprenolol for treatment of hypertension in pregnancy. Br. Med. J. 1979, 1, 1591–1594. [Google Scholar] [CrossRef] [Green Version]
  64. Pruyn, S.C.; Phelan, J.P.; Buchanan, G.C. Long-term propranolol therapy in pregnancy: Maternal and fetal outcome. Am. J. Obstet. Gynecol. 1979, 135, 485–489. [Google Scholar] [CrossRef]
  65. Eliahou, H.E.; Silverberg, D.S.; Reisin, E. Propranolol for the treatment of hypertension in pregnancy. Br. J. Obstet. Gynaecol. 1978, 85, 431–436. [Google Scholar] [CrossRef] [PubMed]
  66. Sullo, M.G.; Perri, D.; Sibilio, M.; Rafaniello, C.; Fucile, A.; Rossi, F.; Capuano, A. Hypoglycemia, polycythemia and hyponatremia in a newborn exposed to nebivolol during pregnancy. J. Pharmacol. Pharmather. 2015, 6, 45–48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Stevens, T.P.; Guillet, R. Use of glucagon to treat neonatal low-output congestive heart failure after maternal labetalol therapy. J. Pediatr. 1995, 127, 151–153. [Google Scholar] [CrossRef]
  68. Klarr, J.M.; Bhatt-Mehta, V.; Donn, S.M. Neonatal adrenergic blockade following single dose maternal labetalol administration. Am. J. Perinatol. 1994, 11, 91–93. [Google Scholar] [CrossRef]
  69. Haraldsson, A.; Geven, W. Severe adverse effects of maternal labetalol in a premature infant. Acta Paediatr. Scand. 1989, 78, 956–958. [Google Scholar] [CrossRef]
  70. Haraldsson, A.; Geven, W. Half-life of maternal labetalol in a premature infant. Pharm. Weekbl. Sci. 1989, 11, 229–231. [Google Scholar] [CrossRef]
  71. Schmimmel, M.S.; Eidelman, A.J.; Wilschanski, M.A.; Shaw Jr, D.; Ogilvie, R.J.; Koren, G. Toxic effects of atenolol consumed during breast feeding. J. Pediatr. 1989, 114, 476–478. [Google Scholar] [CrossRef]
  72. Fox, R.E.; Marx, C.; Stark, A.R. Neonatal effects of maternal nadolol therapy. Am. J. Obstet. Gynecol. 1985, 152, 1045–1046. [Google Scholar] [CrossRef]
  73. Woods, D.L.; Morrell, D.F. Atenolol: Side effects in a newborn infant. Br. Med. J. 1982, 285, 691–692. [Google Scholar] [CrossRef] [Green Version]
  74. Bott-Kanner, G.; Schweitzer, A.; Schoenfeld, A. Treatment with propranolol and hydralazine throughout pregnancy in a hypertensive patient. A case report. Isr. J. Med. Sci. 1978, 14, 466–468. [Google Scholar]
  75. Sabom, M.B.; Curry, R.C., Jr.; Wise, D.E. Propranolol therapy during pregnancy in a patient with idiopathic hypertrophic subaortic stenosis: Is it safe? South Med. J. 1978, 71, 328–329. [Google Scholar] [CrossRef]
  76. Datta, S.; Kitzmiller, J.L.; Ostheimer, G.W.; Schoenbaum, S.C. Propranolol and parturition. Obstet. Gynecol. 1978, 51, 577–581. [Google Scholar] [CrossRef]
  77. Habib, A.; McCarthy, J.S. Effects on the neonate of propranolol administered during pregnancy. J. Pediatr. 1977, 91, 808–811. [Google Scholar] [CrossRef]
  78. Cottrill, C.M.; McAllister Jr, R.G.; Gettes, L.; Noonan, J.A. Propranolol therapy during pregnancy, labor, and delivery: Evidence for transplacental drug transfer and impaired neonatal drug disposition. J. Pediatr. 1977, 91, 812–814. [Google Scholar] [CrossRef]
  79. Gladstone, G.R.; Hordof, A.; Gersony, W.M. Propranolol administration during pregnancy: Effects on the fetus. J. Pediatr. 1975, 86, 962–964. [Google Scholar] [CrossRef]
  80. Fiddler, G.I. Propranolol and pregnancy. Lancet 1974, 2, 722–723. [Google Scholar] [CrossRef]
  81. Datapharm Ltd. Methyldopa 500 mg Tablets BP. Available online: https://www.medicines.org.uk/emc/product/5879/smpc (accessed on 6 June 2022).
  82. Ryu, R.J.; Eyal, S.; Easterling, T.R.; Caritis, S.N.; Venkataraman, R.; Hankins, G.; Rytting, E.; Thummel, K.; Kelly, E.J.; Risler, L.; et al. Pharmacokinetics of metoprolol during pregnancy and lactation. J. Clin. Pharmacol. 2016, 56, 581–589. [Google Scholar] [CrossRef]
  83. Eyal, S.; Kim, J.D.; Anderson, G.D.; Buchanan, M.L.; Brateng, D.A.; Carr, D.; Woodrum, D.E.; Easterling, T.R.; Hebert, M.F. Atenolol pharmacokinetics and excretion in breast milk during the first 6 to 8 months postpartum. J. Clin. Pharmacol. 2010, 50, 1301–1309. [Google Scholar] [CrossRef]
  84. Aizman, L.; Van Den Anker, J.; Tender, J.; Krishnan, A.; Kirkorian, A.Y. Special management considerations for propranolol use in breastfed infants of mothers taking antihypertensives. Pediatr. Dermatol. 2020, 37, 537–540. [Google Scholar] [CrossRef]
Figure 1. Overview literature search according the PRISMA guidelines.
Figure 1. Overview literature search according the PRISMA guidelines.
Ijerph 19 09616 g001
Figure 2. Funnel plots bradycardia—RCT (a) and proportion based meta-analysis (b).
Figure 2. Funnel plots bradycardia—RCT (a) and proportion based meta-analysis (b).
Ijerph 19 09616 g002
Figure 3. Meta-analysis bradycardia—RCT. Beta-blocker vs. methyldopa: [27,33,38]; beta-blocker vs. placebo: [45,51,53]; beta-blocker vs. hydralazine: [40,47,59]; beta-blocker vs. calcium channel blocker [33]; beta-blocker with hydralazine vs. placebo: [50].
Figure 3. Meta-analysis bradycardia—RCT. Beta-blocker vs. methyldopa: [27,33,38]; beta-blocker vs. placebo: [45,51,53]; beta-blocker vs. hydralazine: [40,47,59]; beta-blocker vs. calcium channel blocker [33]; beta-blocker with hydralazine vs. placebo: [50].
Ijerph 19 09616 g003
Figure 4. Meta-analysis bradycardia—Cohort and case–control studies. Cohort studies: beta-blocker vs. placebo: [30,35]; beta-blocker vs. methyldopa: [30]. Case control studies: beta-blocker vs. hydralazine: [58]; beta-blocker vs. placebo: [32,37,43]; beta-blocker vs. methyldopa: [52].
Figure 4. Meta-analysis bradycardia—Cohort and case–control studies. Cohort studies: beta-blocker vs. placebo: [30,35]; beta-blocker vs. methyldopa: [30]. Case control studies: beta-blocker vs. hydralazine: [58]; beta-blocker vs. placebo: [32,37,43]; beta-blocker vs. methyldopa: [52].
Ijerph 19 09616 g004
Figure 5. Proportion-based meta-analysis bradycardia. Acebutalol: [48,52,56]; sotalol: [62]; propranolol: [55,64]; atenolol: [51,53,57]; labetalol: [33,37,38,40,43,45,47,59]; metoprolol and hydralazine: [50,58].
Figure 5. Proportion-based meta-analysis bradycardia. Acebutalol: [48,52,56]; sotalol: [62]; propranolol: [55,64]; atenolol: [51,53,57]; labetalol: [33,37,38,40,43,45,47,59]; metoprolol and hydralazine: [50,58].
Ijerph 19 09616 g005
Figure 6. Meta-analysis hypoglycemia—Cohort and case–control studies. Cohort studies: beta-blockers vs. placebo: [30,31,35,39]; beta-blockers vs. methyldopa: [30]; beta-blockers vs. calcium channel blocker: [39]. Case control studies: beta-blocker vs. placebo: [32,37,43]; beta-blockers vs. methyldopa: [52,60].
Figure 6. Meta-analysis hypoglycemia—Cohort and case–control studies. Cohort studies: beta-blockers vs. placebo: [30,31,35,39]; beta-blockers vs. methyldopa: [30]; beta-blockers vs. calcium channel blocker: [39]. Case control studies: beta-blocker vs. placebo: [32,37,43]; beta-blockers vs. methyldopa: [52,60].
Ijerph 19 09616 g006
Figure 7. Funnel plots hypoglycemia—RCT (a) and proportion based meta-analysis (b).
Figure 7. Funnel plots hypoglycemia—RCT (a) and proportion based meta-analysis (b).
Ijerph 19 09616 g007
Figure 8. Meta-analysis hypoglycemia—RCT. Beta-blocker vs. methyldopa: [33,38,55]; beta-blockers vs. hydralazine: [40,46,47]; beta-blockers vs. calcium channel blockers: [33,41]; beta-blocker with hydralazine vs. placebo: [50]; beta-blockers vs. placebo [41,45,53].
Figure 8. Meta-analysis hypoglycemia—RCT. Beta-blocker vs. methyldopa: [33,38,55]; beta-blockers vs. hydralazine: [40,46,47]; beta-blockers vs. calcium channel blockers: [33,41]; beta-blocker with hydralazine vs. placebo: [50]; beta-blockers vs. placebo [41,45,53].
Ijerph 19 09616 g008
Figure 9. Proportion-based meta-analysis of hypoglycemia. Sotalol: [62]; propranolol: [55,64,65]; atenolol: [41,53,57]; propranolol and hydralazine: [61]; labetalol: [33,35,37,38,40,43,45,46,47]; metoprolol and hydralazine: [50]; metoprolol: [35]; acebutalol: [52,60].
Figure 9. Proportion-based meta-analysis of hypoglycemia. Sotalol: [62]; propranolol: [55,64,65]; atenolol: [41,53,57]; propranolol and hydralazine: [61]; labetalol: [33,35,37,38,40,43,45,46,47]; metoprolol and hydralazine: [50]; metoprolol: [35]; acebutalol: [52,60].
Ijerph 19 09616 g009
Table 1. Statements to communicate the findings of the systematic review.
Table 1. Statements to communicate the findings of the systematic review.
DescriptorCriteria
Clinical
benefit/harm
Statistically significant result
High certainty evidence
Biological mechanism(s) well established
Point estimates of underlying studies are consistently in one direction
Optimal information size reached
Probable clinical benefit/harmStatistically significant result
Moderate or high certainty evidence
Evidence of biological plausibility
Point estimates of underlying studies are predominantly in one direction
Close to optimal information size or summary confidence interval is sufficiently narrow to give confidence that the true effect would be clinically meaningful if it is only in the ballpark of the summary estimate
Possible clinical benefit/harmStatistically significant result
Low or very low certainty evidence
Few studies, wide summary confidence interval or effect is driven by one or two heavily weighted studies
Improbable
benefit/harm
Statistically non-significant result
Moderate or high certainty evidence
Point estimates of underlying studies are close to and on both sides of the line of null effect
No clinical
benefit/harm
Statistically non-significant result
High certainty evidence
Point estimates of underlying studies are close to and on either side of the line of null effect
Majority of underlying studies are adequately powered for outcome of interest
Optimal information size reached
Clinical benefit/harm cannot be excludedStatistically non-significant result
Low or very low certainty evidence
Few studies
Wide confidence intervals
Table 3. Type and dosage of beta blocker.
Table 3. Type and dosage of beta blocker.
ArticleAcebutololAtenololBisoprololCarvedilolLabetalolMetoprololNadololOxprenololPindololPropranololSotalol
Bigelow CA, 2021 [29] 2 mg
Kayser A, 2020 [30] 1.25–10 mg/day 12–400 mg/day
Kumar N, 2020 1,2 [31]
Mazkereth R, 2019 2 [32] XX X
Easterling T, 2019 [33] 200 mg/day (max. 600 mg/day)
Thewissen L, 2017 [34] X
Bateman BT, 2016 2 [35]XXXXXXX XXX
Singh R, 2016 3 [36] X
Heida KY,2012 4 [37] X
Verma R, 2012 [38] 100–300 mg three times per day
Davis RL, 2011 5 [39]
Vigil-De Gracia P,
2006 6 [40]
Max. 300 mg
Darcie S, 2004 [41] 50 mg two times per day
Paran E, 1995 [42] 5–15 mg40–120 mg
Munshi UK, 1992 2 [43] X
Bott-Kanner G, 1992 [44] 5–10 mg two or three times per day
Pickles CJ, 1989 [45] 100–200 mg three times per day
Ramanathan J, 1988 7 [28] X
Ashe RG, 1987 [46] 200 mg
Mabie WC, 1987 [47] 20–80 mg
Boutroy MJ, 1986 [48]200–1200 mg per day
Macpherson M, 1986 [49] 100–300 mg three times per day
Högstedt S, 1985 [50] 50 mg two times per day (200 mg maximum per day)
Reynolds B, 1984 [51] Max. 200 mg per day
Williams ER, 1983 [52]300–600 mg per day
Rubin PC, 1983 [53] 100 mg per day
Liedholm H, 1983 [54] 50–200 mg per day X
Liedholm H, 1983 2 [27] X
Livingstone I, 1983 [55] 30–160 mg per day
Dubois D, 1983 [26]200 mg100 mg 5 mg
Boutroy MJ, 1982 [56]200–800 mg per day
Rubin PC, 1982 [57] 100 or 200 mg per day
Sandström B, 1982 [58] 100–400 mg
Garden A, 1982 [59] 200 mg
Dumez Y, 1981 [60]200–800 mg/day
Bott-Kanner G, 1980 [61] 30–240 mg per day
O’Hare MF, 1980 [62] 200 mg per day
Gallery ED, 1979 8 [63] X
Pruyn SC, 1979 [64] 10–80 mg per day
Eliahou HE, 1978 [65] 40–120 mg per day
X = type of beta-blocker used in this study (in case the exact dosage is not provided). 1 This article did not mention the type of beta blocker that was used. 2 This article did not mention anything on the dose of the beta-blockers used. 3 A 20 mg intravenous bolus dose followed by 40 mg if not effective within 10 min, then 80 mg every 10 min until BP was lower than 150/100 mm Hg or until a maximum total dose of 220 mg was reached [36]. 4 A 20 mg bolus intravenous followed by a continuous infusion of 20 mg/h. When not effective within 20 min, this was followed by a 40 mg bolus and the continuous infusion was increased to 40 mg/h. When still not effective within 20 min an extra 80 mg bolus was followed by a continuous infusion that was increased up to 80 mg/h. Maximal cumulative dose was limited to 220 mg/h [37]. 5 Davis RL et al. [39] did not mention the types of beta-blockers which they included in their study. 6 A 20 mg intravenous bolus dose was followed by 40 mg if not effective within 20 min, followed by 80 mg every 20 min up to a maximum dose of 300 mg (five doses) [40]. 7 Before induction of anesthesia, 20 mg of labetalol was administered intravenously as a bolus followed by 10 mg increments every 2 min until the diastolic blood pressure was below 100 mmHg or the mean arterial pressure fell by 20% from baseline values [28]. 8 The dosage of the drug was altered as clinically indicated to maintain a sitting diastolic BP at or below 80 mm Hg [63].
Table 4. Risk of bias in 18 randomized controlled trials.
Table 4. Risk of bias in 18 randomized controlled trials.
SourceDomain 1. Risk of Bias from the Randomization ProcessDomain 2. Risk of Bias Due to Deviations from the Intended InterventionsDomain 3. Missing Outcome DataDomain 4. Risk of Bias in Measurement of the OutcomeDomain 5. Risk of Bias in selection of the Reported ResultOverall Risk of Bias Judgement
Ashe RG, 1987 [46]Some concernsLowLowLowSome concernsHigh risk
Bigelow CA, 2021 [29]LowLowLowLowLowLow
Bott-Kanner G, 1992 [44]Some concernsLowLowLowSome concernsHigh risk
Darcie S, 2004 [41]Some concernsSome concernsLowLowSome concernsHigh risk
Easterling T, 2019 [33]LowSome concernsLowLowLowSome concerns
Gallery ED, 1979 [63]Some concernsSome concernsLowLowSome concernsHigh risk
Garden A, 1982 [59]Some concernsSome concernsLowLowSome concernsHigh risk
Högstedt S, 1985 [50]Some concernsSome concernsLowLowSome concernsHigh risk
Livingstone I, 1983 [55]Some concernsSome concernsLowLowSome concernsHigh risk
Mabie WC, 1987 [47]Some concernsSome concernsLowLowSome concernsHigh risk
Paran E, 1994 [42]Some concernsSome concernsLowLowSome concernsHigh risk
Pickles CJ, 1989 [45]Some concernsLowLowLowSome concernsHigh risk
Ramanathan J, 1988 [28]Some concernsSome concernsLowLowSome concernsHigh risk
Reynolds B, 1984 [51]Some concernsLowLowLowSome concernsHigh risk
Rubin PC, 1983 [53]Some concernsLowLowLowSome concernsHigh risk
Singh R, 2016 [36]Some concernsSome concernsLowLowSome concernsHigh risk
Verma R, 2012 [38]LowSome concernsLowLowSome concernsHigh risk
Vigil-De Graca P, 2006 [40]LowLowLowLowSome concernsSome concerns
Table 5. Risk of bias in 13 non-randomized controlled trials.
Table 5. Risk of bias in 13 non-randomized controlled trials.
SourceBias Due to ConfoundingBias in Selecting ParticipantsBias in Classification of the InterventionsBias Due to Deviations from Intended InterventionsBias Due To Missing DataBias in Measurement of OutcomesBias in Selection of the Reported ResultOverall Risk of Bias
Bateman BT, 2016 [35]ModerateModerateModerateLowLowLowModerateModerate
Davis RL, 2011 [39]CriticalSeriousModerateLowNILowModerateCritical
Dumez Y, 1981 [60]CriticalNILowLowLowLowModerateCritical
Heida KY, 2012 [37]NILowModerateLowLowLowModerateModerate
Kayser A, 2020 [30]ModerateModerateModerateLowLowLowLowModerate
Kumar N, 2020 [31]SeriousModerateModerateLowLowLowModerateSerious
Liedholm H, 1983 [54]CriticalModerateSeriousLowLowLowModerateCritical
Macpherson M, 1986 [49]SeriousSeriousLowLowLowLowModerateSerious
Mazkereth R, 2019 [32]CriticalSeriousSeriousLowLowLowModerateCritical
Munshi UK, 1992 [43]ModerateModerateSeriousLowLowLowModerateSerious
Sandstrom B, 1982 [58]SeriousModerateNILowLowLowModerateSerious
Thewissen L, 2017 [34]SeriousSeriousSeriousLowLowLowModerateSerious
Williams ER, 1983 [52]SeriousModerateLowLowLowLowLowSerious
NI = No information.
Table 6. Quality of 9 case series.
Table 6. Quality of 9 case series.
SourceQ1Q2Q3Q4Q5Q6Q7Q8Q9Q10
Boutroy MJ, 1986 [48]YYYNNNNYNN/A
Liedholm, 1983 [27]YYYYYNNYNN/A
Dubois, 1983 [26]YYYYUNYYNN/A
Boutroy MJ, 1982 [56]YYYNNNNYNY
Rubin PC, 1982 [57]YYYUUNNYNY
Bott-Kanner G, 1980 [61]NYYNNNYYNN/A
O’hare MF, 1980 [62]YYYNNYYYNY
Pruyn SC, 1979 [64]NYNYYNYYNY
Eliahou HE, 1978 [65]YYYYYNYYNN/A
Y = Yes, N= No, U = Unclear, N/A not applicable. Q1 Were there clear criteria for inclusion in the case series? Q2 Was the condition measured in a standard, reliable way for all participants included in the case series? Q3 Were valid methods used for identification of the condition for all participants included in the case series? Q4 Did the case series have consecutive inclusion of participants? Q5 Did the case series have complete inclusion of participants? Q6 Was there clear reporting of the demographics of the participants in the study? Q7 Was there clear reporting of clinical information of the participants? Q8 Were the outcomes or follow up results of cases clearly reported? Q9 Was there clear reporting of the presenting site(s)/clinic(s) demographic information? Q10 Was statistical analysis appropriate?
Table 7. Quality of 15 case reports.
Table 7. Quality of 15 case reports.
SourceQ1Q2Q3Q4Q5Q6Q7Q8
Sullo MG, 2015 [66]N/A 1N/A 2YYYYYY
Stevens TP, 1995 [67]NNYYYYYY
Klarr JM, 1994 [68]YNYUYYYY
Haraldsson A, 1989 [69]N/A 1N/A 2YYYYYY
Haraldsson A, 1989 [70]N/A 1,3N/A 2YYUYYY
Schmimmel MS, 1989 [71]N/A 1N/A 2YYYYYY
Fox RE, 1985 [72]YNYYYYYY
Woods DL, 1982 [73]N/A 1N/A 2YYYYYY
Bott-Kanner G,
1978 [74]
UYYYYUYY
Sabom MB, 1978 [75]NNYYYYYY
Datta S, 1978 [76]YYYYYYYY
Habib A, 1977 [77]NNYYYYYY
Cottrill CM,
1977 [78]
NNUYYYYY
Gladstone GR, 1975 [79]N/A 1,3N/A 2YYYYYY
Fiddler GI, 1974 [80]NNYYYYYY
Abbreviations: Y = Yes; N= No; U = Unclear; N/A not applicable. Q1 Were patient’s demographic characteristics clearly described? Q2 Was the patient’s history clearly described and presented as a timeline? Q3 Was the current clinical condition of the patient on presentation clearly described? Q4 Were diagnostic tests or assessment methods and the results clearly described? Q5 Was the intervention(s) or treatment procedure(s) clearly described? Q6 Was the post-intervention clinical condition clearly described? Q7 Were adverse events (harms) or unanticipated events identified and described? Q8 Does the case report provide takeaway lessons? 1 This case report concerned a neonate in the first days of life. There was no information available about the neonates’ medical history, previous treatment and past diagnostic test results. 2 This case report concerned a neonate in the first days of life. There was no information available about the patients’ medical, family and psychosocial history (including relevant information, as well as relevant past interventions and their outcomes). 3 Diagnosis, treatment/medication and medical history of the mother were described, but not of the neonate.
Table 9. Beta-blockers compared to other antihypertensive drugs or placebo in mothers with gestational hypertension.
Table 9. Beta-blockers compared to other antihypertensive drugs or placebo in mothers with gestational hypertension.
Certainty AssessmentSummary of Findings
Participants
(Studies)Follow-up
Risk of BiasInconsistencyIndirectnessImprecisionPublication BiasOverall Certainty of EvidenceStudy Event Rates (%)Relative Effect
(95% CI)
Anticipated Absolute Effects
With Other Antihypertensive Drugs or PlaceboWith Beta-BlockersRisk with Other Antihypertensive Drugs or PlaceboRisk Difference with Beta-Blockers
Bradycardia (Cohort studies)
2,293,407
(3 observational studies)
Serious aSerious bnot seriousSerious cstrong association⨁⨁◯◯
Low
11,669/2,282,318 (0.5%)175/11089 (1.6%)RR 2.10
(0.97 to 4.55)
5 per 10006 more per 1000
(from 0 fewer to 18 more)
Bradycardia (Case control studies)
45 cases 800 controls
(5 observational studies)
very serious dvery serious enot seriousvery serious fnone⨁◯◯◯
Very low
45 cases 800 controlsRR 1.86
(0.31 to 11.19)
Low
0 per 10000 fewer per 1000
(from 0 fewer to 0 fewer)
Bradycardia (RCTs)
2013
(11 RCTs)
very serious gnot seriousnot seriousnot seriousnone⨁⨁◯◯
Low
15/1017 (1.5%)38/996 (3.8%)RR 2.36
(1.33 to 4.18)
15 per 100020 more per 1000
(from 5 more to 47 more)
Hypoglycemia (Cohort studies)
2,374,957
(6 observational studies)
Serious hserious inot seriousnot seriousstrong association⨁⨁⨁◯
Moderate
29,954/2,362,830 (1.3%)620/12,127 (5.1%)RR 3.01
(2.79 to 3.25)
13 per 100025 more per 1000
(from 23 more to 29 more)
Hypoglycemia (Case control studies)
168 cases 416 controls
(5 observational studies)
very serious jnot serious inot seriousSerious knone⨁◯◯◯
Very low
168 cases 416 controlsRR 1.72
(1.33 to 2.22)
Low
0 per 10000 fewer per 1000
(from 0 fewer to 0 fewer)
Hypoglycemia (RCTs)
2051
(12 RCTs)
Serious lnot seriousnot seriousserious cnone⨁⨁◯◯
Low
57/1018 (5.6%)77/1033 (7.5%)RR 1.06
(0.79 to 1.41)
56 per 10003 more per 1000
(from 12 fewer to 23 more)
CI: confidence interval; RR: risk ratio. Explanations a All the studies had a moderate risk of overall bias. b I2 > 50%. c 95% CI crosses line of no effect. d The study with the highest weightage had a serious risk of overall bias. e I2 = 82%. f Very low event rates and 95% CI shows appreciable benefit and harm. g Most of the studies had a high risk of overall bias. h The study contributing to maximum weightage had a moderate risk of overall bias. i Though the I2 was large, it was due to differences between the small and large magnitude of effects. j Most of the studies had a serious to critical risk of overall bias. k Optimal information criterion (OIS) not satisfied due to a low event rate and sample size. l The studies with highest weightage had a high risk of overall bias or some concerns. ⨁◯◯◯: Very low, ⨁⨁◯◯: Low, ⨁⨁⨁◯: Moderate and ⨁⨁⨁⨁: High.
Table 10. Studies with hypoglycemia as outcome measure.
Table 10. Studies with hypoglycemia as outcome measure.
ArticleStudy GroupsHypoglycemiaBlood Glucose (mmol/L)Definition of HypoglycemiaTime of Control of Hypoglycemia
Bigelow CA, 2021 [29]Propranolol vs. placebo11/45 (24.4%) vs. 8/49 (16.3%) (p = 0.33) Blood sugar < 40 md/dLN
Kayser A, 2020 [30]ß-blocker vs. methyldopa
ß-blocker vs. non-hypertensive mother
7/252 (2.8%) vs. 3/199 (1.5%) (NS)
7/252 (2.8%) vs. 13/588 (2.2%) (NS)
Blood glucose < 35 mg/dl at the first day of life or <45 mg/dL after the first day of lifeN
Kumar N, 2020 [31]ß-blocker vs. no disease78/228 (34.6%) vs. 914/4103 (22.2%) (p < 0.01) Blood glucose < 40 mg/dLAt least 30 min after feeding. Feeding was initiated as soon as possible after delivery.
For at least 24 h in late preterm and small for gestational age (SGA), and for the first 12 h in LGA infants and infants of mothers with diabetes
Mazkereth R, 2019 [32]ß-blocker vs. control47/153 (30.7%) vs. 28/153 (18.3%)
p = 0.016
Glucose < 40 mg/dL on the first day of lifeHours 1, 2, 4 and 6 of life and every 8 h thereafter (to complete a 48-h follow-up)
Easterling T, 2019 [33]Labetalol vs. nifedipine
Labetalol vs. methyldopa
0/290 (0%) vs. 1/298 (<1%)
0/290 (0%) vs. 0/294 (0%)
NN
Bateman BT, 2016 [35]ß-blocker vs. control
Labetalol vs. control
Metoprolol vs. control
Atenolol vs. control
Propensity-score 1 corrected available
460/10,585 (4.3%) vs. 27,228/2,281,531 (1.2%)
345/6748 (5.1%) vs. 27,228/2,281,531 (1.2%)
49/1485 (3.3%) vs. 27,228/2,281,531 (1.2%)
30/1121 (2.7%) vs. 27,228/2,281,531 (1.2%)
Glucose ≤ 35 mg/dLN
Singh R, 2016 [36]Labetalol vs. hydralazineNS NN
Heida KY,
2012 [37]
Labetalol vs. control
Labetalol i.v. vs. labetalol oral
26/55 (47.3%) vs. 23/54 (42.6%)
p = 0.62
43.2 vs. 55.6%
p = 0.45
Glucose < 2.7 mmol/LIn the first 48 postnatal hours
Verma R, 2012 [38]Labetalol vs. methyldopa1/45 (2.22%) vs. 2/45 (4.44%) (NS) NN
Davis RL, 2011 2 [39]ß-blocker vs. control
ß-blocker vs. calcium channel blockers
34/405 (8.4%) vs. 1771/75,688 (2.3%)
34/405 (8.4%) vs. 25/721 (3.5%)
NN
Vigil-De Gracia P, 2006 [40]Labetalol vs. hydralazine6/103 (5.8%) vs. 6/102 (5.8%) Plasma glucose < 35 mg/dLN
Darcie S, 2004 [41]Atenolol vs. isradipine
Atenolol vs. control
26/40 (65%) vs. 24/39 (61.5%) (p = 0.818)
26/40 (65%) vs. 4/14 (28.5%) (p < 0.05)
Blood glycemia levels < 40 mg/dL1, 3, 6, 12 and 24 h after birth
Paran E, 1995 [42]Hydralazine vs. hydralazine and propranolol
Hydralazine vs. hydralazine and pindolol
76.4 ± 16.5 vs. 62.6 ± 14.0 mg% (p < 0.02)
76.4 ± 16.5 vs. 78.6 ± 15.7 mg% (p < 0.02)
NIn the first 48 postnatal hours
Munshi UK, 1992 [43]Labetalol vs. control23/48 (47.9%) vs. 14/81 (17.2%) (p < 0.01) Blood glucose value of <30 mg/dL irrespective of gestational age, within the first 72 h of life and below 40 mg/dL thereafterFirst at 1–2 h of age and again at 4–6 h of age, thereafter 2–6 hourly depending on the previous blood glucose results. The monitoring was stopped once at least two blood glucose values were above 40 mg on an oral feeding alone
Bott-Kanner G, 1992 [44]Pindolol vs. placebo3 Blood glucose < 25 mg/dLDuring the first 24 h of life
Pickles CJ, 1989 [45]Labetalol vs. placebo4/70 (5.7%) vs. 3/74 (4.1%) Blood glucose < 1.4 nmol/LN
Ramanathan J, 1988 [28]Labetalol vs. control0/15 (0%) vs. 0/10 (0%)53.4 ± 2.8 vs. 50 ± 3.1 (NS)NWithin 10 to 20 min of delivery
Ashe RG, 1987 [46]Labetalol vs. hydralazine1/10 (10%) vs. 0/10 (0%) NEvery 4 h, for 1 day
Mabie WC, 1987 [47]Labetalol vs. hydralazine1/13 (7.7%) vs. 1/6 (16.7%) Blood glucose < 35 mg/dLN
Macpherson M, 1986 [49]Labetalol vs. control4 <35 mg/dLAt 2, 4, 8,16, 24, 48 and 72 h after birth
Högstedt S, 1985 [50]Metoprolol and hydralazine vs. control (intended-to-treat) 5
Metoprolol and hydralazine vs. control (cause-effect)
9/82 (11.0%) vs. 11/79 (13.9%)
8/69 (11.6%) vs. 10/66 (15.2%)
Blood glucose ≤ 1.7 mmol/LN
Williams ER, 1983 [52]Acebutolol vs. methyldopa0/9 vs. 0/11 NN
Rubin PC, 1983 [53]Atenolol vs. placebo1/46 (2.2%) vs. 4/39 (10.3%) (NS) Confirmed serum glucose < 1.4 nmol/LAt 1, 4, 6, 12 and 24 h
Liedholm H, 1983 [54]Atenolol or metoprolol (no control group)4/95 (4.2%) NN
Livingstone I, 1983 [55]Propranolol vs. methyldopa2/14 (14.3%) vs. 0/14 (0%) NFor 48 h after delivery
Dubois D, 1983 [26]Beta blocker (no control group)1/125 (0.8%) NAt birth
Rubin PC, 1982 [57]Atenolol (no control group)2/9 (22%) NDuring the first 24 h of life
Sanström B, 1982 [58]Bendroflumethiazide + metoprolol vs. metoprolol + hydralazine vs. Bendroflumethiazide + hydralazine6 NN
Dumez Y, 1981 [60]Acebutolol vs. methyldopa6/10 vs. 1/10Day 1: 1.60 mmol/L ± 0.99 vs. 2.55 mmol/L ± 0.42 (NS), Day 2: 2.63 mmol/L ± 0.50 vs. 2.47 mmol/L ± 0.63 (NS), Day 3: 3.29 mmol/L ± 1.53 vs. 2.72 mmol/L ± 1.19 (NS)NDaily within the 3 first days of life, for the first time at about three hours of life and on the second and third days of life two hours after feeding
Bott-Kanner G, 1980 [61]Propranolol (no control group)2/14 (14.3%) Blood glucose < 35 mg/dLFrequently In the first few hours of life
O’Hare MF, 1980 [62]Sotalol (no control group)1/12 (8.33%) NFour-hourly
Gallery ED, 1979 [63]Oxprenolol vs. methyldopa 3.8 ± 0.27 vs. 2.8 ± 0.36 mmol/L p < 0.05NN
Pruyn SC, 1979 [64]Propranolol (no control group)3/12 (25%) NN
Eliahou HE, 1978 [65]Propranolol (no control group)0/22 (0%) NN
N: is not described in article. NS: not significant. 1 PS-matched: Propensity scores were estimated using a logistic regression model in which exposure was the dependent variable and was estimated on the basis of 5 groups of potential confounders of the planned analysis: demographic characteristics, medical conditions, obstetrical conditions, maternal medications, and measures of healthcare use [35]. 2 Hypoglycemia was grouped under endocrine and metabolic disturbances specific to newborns, which included neonatal hypoglycemia [39]. 3 As regards other outcome variables, namely, the Apgar score, respiratory and heart rate at delivery, hypoglycemia and jaundice during the first 24 h—the differences between the two treatment groups were inconsistent and non-significant [44]. 4 Blood glucose levels were mostly within the normal reported range of 2.0–5.0 mmol/L for term infants, but they all tended towards the lower limit, with a range of 1.8–4.2 mmol/L, with a median of 3.2 mmol/l. No infant was clinically hypoglycemic at any time [49]. 5 For the analyses, the material was divided into two categories. The first group gives data for all the 161 patients for whom it was the intention to treat. In the calculation of cause-and-effect, 26 patients were withdrawn from the original group of 161: in 5 patients of C-group, DBP exceeded 110 mmHg and they were then treated with antihypertensive drugs; one patient in the T-group admitted that she had not taken the prescribed drugs; 6 patients gave birth to malformed or stillborn children and their data were not used for the calculation of Apgar scores, birth weights or other vitality signs. Eight patients in the T-group and 6 in the C-group gave birth within 2 weeks after admission to the study, and these 14 women were excluded from the cause-and-effect analyses because of the short treatment period [50]. 6 There were no abnormal changes in heart frequency, P-glucose, P-bilirubin and maturity of the lungs of the new-born infants in groups A and B in comparison with group C, in which no adrenergic beta-blocking agent was used [58].
Table 11. Overview case-reports.
Table 11. Overview case-reports.
SourceCountryTreatment
Indication
Beta-Blocker
Type
DosageBlood GlucoseHeart Rate
(Beats per Minute)
Sullo MG, 2015 [66]ItalyUnspecified
tachycardia
Nebivolol5 mg per day30 mg/dLx
Stevens TP, 1995 [67]United StatesHypertensionLabetalol150 mg two
times per day
1.7 mmol/L (30 mg/dL)111 after birth
100 in transit to tertiary referral center
100–120 (resting heart rate)
Klarr JM, 1994 [68]United StatesHypertension prior
to cesarean section
LabetalolSingle 30 mg
dosage
31 mg/dL (twin A)
37 mg/dL (twin B)
<80 (both twins)
Haraldsson A, 1989 [69]The
Netherlands
Hypertension prior
to cesarean section
Labetalol50 mg/hourNot described in
article, but intravenous
glucose was given
Severe bradycardia immediately after delivery. On admission the heart rate was 140
Haraldsson A, 1989 [70]The
Netherlands
Pregnancy induced
hypertension
Labetalol600 mg (200
mg 3 times
per day)
1.2 mmol/l<80 after delivery, 148 later
Schmimmel MS, 1989 [71]IsraelPostpartum
hypertension
Atenolol100 mg daily
(50 mg two
times per
day)
x80
Fox RE, 1985 [72]United StatesHypertensionNadolol20 mg once
per day
20 mg/dl136 after birth
112 at 4.5 h of age 1
>135 at 4 days of age
Woods DL, 1982 [73]South AfricaUncontrolled
hypertension
Atenolol100 mg daily2–5 mmol/L (45 mg/100 mL)138
Bott-Kanner G,1978 [74]IsraelChronic
hypertension
Propranolol160 --> 60
mg/day 2 (first
pregnancy)
120 --> stop
(second
pregnancy)
37 mg/dL (first pregnancy)
75 mg/dL after birth, 87 mg/dL next day (second pregnancy)
150 (first pregnancy)
140 (second pregnancy)
Sabom MB, 1978 [75]United StatesIdiopathic
Hypertrophic
subaortic stenosis
Propranolol60 mg 4 times
per day,
discontinued
upon
admission
25–45 mg/100 mlSinus bradycardia (heart rate not mentioned)
Datta S, 1978 [76]United StatesIdiopathic
Hypertrophic
subaortic stenosis
Propranolol80 mg dailyNo hypoglycemia110–120, with a short period of 80 during sleep
Habib A, 1977 [77]United StatesHyperthyroidism
and congestive heart
failure (case 1),
supraventricular
tachycardia (case 2
and 3) and
hyperthyroidism
(case 4)
Propranolol10 mg 4 times
per day (case
1, 2 and 3), 10
mg two times
per day (case
4) 3
20 mg/dL (case 1)
30 mg/dL (case 2)
25 mg/dL at one hour of age and 5 mg/dL at two hours of age (case 3)
25–45 mg/dL (case 4)
80 within one hour of delivery (case 1) 4
80–90 5 (case 2)
100–120 6 (case 3)
80–90, frequently during first 24 h of life (case 4)
Cottrill CM,
1977 [78]
United StatesChronic
atrial tachycardia
Propranolol160 mg per
day (40 mg 4
times per
day) 7
Too low to be detected by the Dextrostix method40 at birth, later it varied between 100 and 165
Gladstone GR, 1975 [79]United StatesEssential
hypertension
Propranolol240 mg per
Day
decreased to
160 mg per
Day 8
11 mg/dL70–90 during first day of life. Rose with stimulation to 120/minute. Was 120–130/minute on day 5
Fiddler GI, 1974 [80]ScotlandHypertrophic
Obstructive
cardiomyopathy
Propranolol30 mg 3 times
per day
12 mg/100 mLx
1 The heart rate remained low for 72 h, and frequent short episodes of bradycardia occurred that were not associated with apnea and that resolved spontaneously [72]. 2 At the time of conception, the mother was placed on a regimen of 160 mg/day. Three weeks prior to term, the propranolol dosage was reduced to 60 mg/day in preparation for the delivery [74]. 3 In case 1, the mother was receiving propranolol 20 mg for times a day at time of delivery [77]. 4 The bradycardia persisted for most of the first 36 h of life, and the heart rate remained between 100 to 120 per minute for most of the second 36 h [77]. 5 Frequent episodes of bradycardia during the first 24 h of life and occasional episodes over the next 48 h [77]. 6 The infant had occasional episodes of bradycardia (heart rate 80 to 90/minute) during the first 48 h of life, but his heart rate generally ranged between 100 to 120/minute [77]. 7 The day prior to the Cesarean section, she received 60 mg propranolol every six hours and 60 mg was given orally six hours before surgery; an additional 3 mg was given intravenously one hour before the operation [78]. 8 The mother was taking 240 mg/day at the time of conception. The dose was decreased to 160 mg/day in the fourth month of pregnancy [79].
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

de Bruin, R.; van Dalen, S.L.; Franx, S.J.; Ramaswamy, V.V.; Simons, S.H.P.; Flint, R.B.; van den Bosch, G.E. The Risk for Neonatal Hypoglycemia and Bradycardia after Beta-Blocker Use during Pregnancy or Lactation: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2022, 19, 9616. https://doi.org/10.3390/ijerph19159616

AMA Style

de Bruin R, van Dalen SL, Franx SJ, Ramaswamy VV, Simons SHP, Flint RB, van den Bosch GE. The Risk for Neonatal Hypoglycemia and Bradycardia after Beta-Blocker Use during Pregnancy or Lactation: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 2022; 19(15):9616. https://doi.org/10.3390/ijerph19159616

Chicago/Turabian Style

de Bruin, Rosalie, Sarah L. van Dalen, Shamaya J. Franx, Viraraghavan V. Ramaswamy, Sinno H. P. Simons, Robert B. Flint, and Gerbrich E. van den Bosch. 2022. "The Risk for Neonatal Hypoglycemia and Bradycardia after Beta-Blocker Use during Pregnancy or Lactation: A Systematic Review and Meta-Analysis" International Journal of Environmental Research and Public Health 19, no. 15: 9616. https://doi.org/10.3390/ijerph19159616

APA Style

de Bruin, R., van Dalen, S. L., Franx, S. J., Ramaswamy, V. V., Simons, S. H. P., Flint, R. B., & van den Bosch, G. E. (2022). The Risk for Neonatal Hypoglycemia and Bradycardia after Beta-Blocker Use during Pregnancy or Lactation: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health, 19(15), 9616. https://doi.org/10.3390/ijerph19159616

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop