Electrocardiography in Children Hospitalized for COVID-19 and Not Suffering from Multisystem Inflammatory Syndrome in Children (MIS-C): An Observational Study
Abstract
:1. Introduction
2. Materials and Methods
Statistical Analysis
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
BMI | Body mass index |
CRP | C-reactive protein |
HC | Healthy controls |
IQR | Interquartile range |
MIS-C | Multisystem Inflammatory Syndrome in Children |
NT-proBNP | N-terminal pro-brain natriuretic peptide |
PCT | Procalcitonin |
SD | Standard deviation |
References
- World Health Organization. Director-General’s Opening Remarks at the Media Briefing on COVID-19—11 March 2020. Available online: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 (accessed on 3 December 2023).
- Castagnoli, R.; Votto, M.; Licari, A.; Brambilla, I.; Bruno, R.; Perlini, S.; Rovida, F.; Baldanti, F.; Marseglia, G.L. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Children and Adolescents: A Systematic Review. JAMA Pediatr. 2020, 174, 882–889. [Google Scholar] [CrossRef]
- Cuppari, C.; Ceravolo, G.; Ceravolo, M.D.; Sestito, S.; Nicocia, G.; Chimenz, R.; Salpietro, C.; Calabrò, M.P. COVID-19 and cardiac involvement in childhood: State of the art. J. Biol. Regul. Homeost. Agents 2020, 34, 121–125. [Google Scholar]
- Dong, Y.; Mo, X.; Hu, Y.; Qi, X.; Jiang, F.; Jiang, Z.; Tong, S. Epidemiology of COVID-19 Among Children in China. Pediatrics 2020, 145, e20200702. [Google Scholar] [CrossRef]
- Pinna, G.; Sanfilippo, L.; Bassareo, P.P.; Fanos, V.; Marcialis, M.A. COVID-19 and Comorbidities: Is Inflammation the Underlying Condition in Children? A Narrative Review. Curr. Pediatr. Rev. 2021, 17, 38–44. [Google Scholar] [PubMed]
- Wei, M.; Yuan, J.; Liu, Y.; Fu, T.; Yu, X.; Zhang, Z.J. Novel Coronavirus Infection in Hospitalized Infants Under 1 Year of Age in China. JAMA 2020, 323, 1313–1314. [Google Scholar] [CrossRef] [PubMed]
- Sabatino, J.; Ferrero, P.; Chessa, M.; Bianco, F.; Ciliberti, P.; Secinaro, A.; Oreto, L.; Avesani, M.; Bucciarelli, V.; Calcaterra, G.; et al. COVID-19 and Congenital Heart Disease: Results from a Nationwide Survey. J. Clin. Med. 2020, 9, 1774. [Google Scholar] [CrossRef] [PubMed]
- Graff, K.; Smith, C.; Silveira, L.; Jung, S.; Curran-Hays, S.; Jarjour, J.; Carpenter, L.; Pickard, K.; Mattiucci, M.; Fresia, J.; et al. Risk Factors for Severe COVID-19 in Children. Pediatr. Infect. Dis. J. 2021, 40, e137–e145. [Google Scholar] [CrossRef] [PubMed]
- Aghagoli, G.; Marin, B.G.; Soliman, L.B.; Sellke, F.W. Cardiac involvement in COVID-19 patients: Risk factors, predictors, and complications: A review. J. Card. Surg. 2020, 35, 1302–1305. [Google Scholar] [CrossRef] [PubMed]
- Kochav, S.M.; Coromilas, E.; Nalbandian, A.; Ranard, L.S.; Gupta, A.; Chung, M.K.; Gopinathannair, R.; Biviano, A.B.; Garan, H.; Wan, E.Y. Cardiac arrhythmias in COVID-19 infection. Circ. Arrhythm. Electrophysiol. 2020, 13, e008719. [Google Scholar] [CrossRef] [PubMed]
- Lakkireddy, D.R.; Chung, M.K.; Gopinathannair, R.; Patton, K.K.; Gluckman, T.J.; Turagam, M.; Cheung, J.W.; Patel, P.; Sotomonte, J.; Lampert, R.; et al. Guidance for cardiac electrophysiology during the COVID-19 pandemic from the Heart Rhythm Society COVID-19 Task Force; Electrophysiology Section of the American College of Cardiology; and the Electrocardiography and Arrhythmias Committee of the Council on Clinical Cardiology, American Heart Association. Heart Rhythm 2020, 17, e233–e241. [Google Scholar]
- Samuel, S.; Friedman, R.A.; Sharma, C.; Ganigara, M.; Mitchell, E.; Schleien, C.; Blaufox, A.D. Incidence of arrhythmias and electrocardiographic abnormalities in symptomatic pediatric patients with PCR-positive SARS-CoV-2 infection, including drug-induced changes in the corrected QT interval. Heart Rhythm 2020, 17, 1960–1966. [Google Scholar] [CrossRef]
- Rajpal, S.; Tong, M.S.; Borchers, J.; Obarski, T.P.; Simonetti, O.P.; Daniels, C.J. Cardiovascular Magnetic Resonance Findings in Competitive Athletes Recovering From COVID-19 Infection. JAMA Cardiol. 2021, 6, 116–118. [Google Scholar] [CrossRef]
- Starekova, J.; Bluemke, D.A.; Bradham, W.S.; Eckhardt, L.L.; Grist, T.M.; Kusmirek, J.E.; Purtell, C.S.; Schiebler, M.L.; Reeder, S.B. Evaluation for Myocarditis in Competitive Student Athletes Recovering from Coronavirus Disease 2019 with Cardiac Magnetic Resonance Imaging. JAMA Cardiol. 2021, 6, 945–950. [Google Scholar] [CrossRef]
- Clark, D.E.; Parikh, A.; Dendy, J.M.; Eckhardt, L.L.; Grist, T.M.; Kusmirek, J.E.; Purtell, C.S.; Schiebler, M.L.; Reeder, S.B. COVID-19 Myocardial Pathology Evaluation in Athletes with Cardiac Magnetic Resonance (COMPETE CMR). Circulation 2021, 143, 609–612, Erratum in Circulation 2021, 143, e238.. [Google Scholar] [CrossRef] [PubMed]
- Brito, D.; Meester, S.; Yanamala, N.; Patel, H.B.; Balcik, B.J.; Casaclang-Verzosa, G.; Seetharam, K.; Riveros, D.; Beto, R.J., 2nd; Balla, S.; et al. High Prevalence of Pericardial Involvement in College Student Athletes Recovering From COVID-19. JACC Cardiovasc. Imaging 2021, 14, 541–555. [Google Scholar] [CrossRef]
- Moulson, N.; Petek, B.J.; Drezner, J.A.; Harmon, K.G.; Kliethermes, S.A.; Patel, M.R.; Baggish, A.L. SARS-CoV-2 Cardiac Involvement in Young Competitive Athletes. Circulation 2021, 144, 256–266. [Google Scholar] [CrossRef]
- Martinez, M.W.; Tucker, A.M.; Bloom, O.J.; Green, G.; DiFiori, J.P.; Solomon, G.; Phelan, D.; Kim, J.H.; Meeuwisse, W.; Sills, A.K.; et al. Prevalence of Inflammatory Heart Disease Among Professional Athletes with Prior COVID-19 Infection Who Received Systematic Return-to-Play Cardiac Screening. JAMA Cardiol. 2021, 6, 745–752. [Google Scholar] [CrossRef]
- Valverde, I.; Singh, Y.; Sanchez-de-Toledo, J.; Theocharis, P.; Chikermane, A.; Di Filippo, S.; Kuciñska, B.; Mannarino, S.; Tamariz-Martel, A.; Gutierrez-Larraya, F.; et al. Acute Cardiovascular Manifestations in 286 Children with Multisystem Inflammatory Syndrome Associated with COVID-19 Infection in Europe. Circulation 2021, 143, 21–32. [Google Scholar] [CrossRef] [PubMed]
- Godfred-Cato, S.; Bryant, B.; Leung, J.; Oster, M.E.; Conklin, L.; Abrams, J.; Roguski, K.; Wallace, B.; Prezzato, E.; Koumans, E.H.; et al. COVID-19-Associated Multisystem Inflammatory Syndrome in Children—United States, March–July 2020. MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 1074–1080, Erratum in MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 1229. [Google Scholar] [CrossRef]
- Young, B.E.; Ong, S.W.X.; Kalimuddin, S.; Low, J.G.; Tan, S.Y.; Loh, J.; Ng, O.T.; Marimuthu, K.; Ang, L.W.; Mak, T.M.; et al. Epidemiologic Features and Clinical Course of Patients Infected With SARS-CoV-2 in Singapore. JAMA 2020, 323, 1488–1494. [Google Scholar] [CrossRef]
- Diorio, C.; Henrickson, S.E.; Vella, L.A.; McNerney, K.O.; Chase, J.; Burudpakdee, C.; Lee, J.H.; Jasen, C.; Balamuth, F.; Barrett, D.M.; et al. Multisystem inflammatory syndrome in children and COVID-19 are distinct presentations of SARS-CoV-2. J. Clin. Invest. 2020, 130, 5967–5975. [Google Scholar] [CrossRef]
- Gruber, C.N.; Patel, R.S.; Trachtman, R.; Lepow, L.; Amanat, F.; Krammer, F.; Wilson, K.M.; Onel, K.; Geanon, D.; Tuballes, K.; et al. Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C). Cell 2023, 186, 3325, Erratum in Cell 2020, 183, 982–995.e14. [Google Scholar] [CrossRef]
- Rostad, C.A.; Chahroudi, A.; Mantus, G.; Lapp, S.A.; Teherani, M.; Macoy, L.; Tarquinio, K.M.; Basu, R.K.; Kao, C.; Linam, W.M.; et al. Quantitative SARS-CoV-2 Serology in Children with Multisystem Inflammatory Syndrome (MIS-C). Pediatrics 2020, 146, e2020018242. [Google Scholar] [CrossRef] [PubMed]
- Fehr, A.R.; Perlman, S. Coronaviruses: An overview of their replication and pathogenesis. Methods Mol. Biol. 2015, 1282, 1–23. [Google Scholar]
- American Academy of Pediatrics. COVID-19 Interim Guidance: Return to Sports and Physical Activity. 2019. Available online: https://www.aap.org/en/pages/2019-novel-coronavirus-covid-19-infections/clinical-guidance/covid-19-interim-guidance-return-to-sports/ (accessed on 10 August 2023).
- Calcaterra, G.; Fanos, V.; Cataldi, L.; Cugusi, L.; Crisafulli, A.; Bassareo, P.P. Need for resuming sports and physical activity for children and adolescents following COVID-19 infection. Sport Sci. Health 2022, 18, 1179–1185. [Google Scholar] [CrossRef]
- World Health Organization. Available online: https://www.who.int/news-room/commentaries/detail/multisystem-inflammatory-syndrome-in-children-and-adolescents-with-covid-19 (accessed on 15 December 2023).
- Forrest, C.B.; Burrows, E.K.; Mejias, A.; Razzaghi, H.; Christakis, D.; Jhaveri, R.; Lee, G.M.; Pajor, N.M.; Rao, S.; Thacker, D.; et al. Severity of Acute COVID-19 in Children < 18 Years Old March 2020 to December 2021. Pediatrics 2022, 149, e2021055765. [Google Scholar] [PubMed]
- Kaliyaperumal, D.; Bhargavi, K.; Ramaraju, K.; Nair, K.S.; Ramalingam, S.; Alagesan, M. Electrocardiographic Changes in COVID-19 Patients: A Hospital-based Descriptive Study. Indian J. Crit. Care Med. 2022, 26, 43–48. [Google Scholar] [CrossRef] [PubMed]
- Heching, H.J.; Goyal, A.; Harvey, B.; Malloy-Walton, L.; Follansbee, C.; Mcintosh, A.; Forsha, D. Electrocardiographic changes in non-hospitalised children with COVID-19. Cardiol. Young 2022, 32, 1910–1916. [Google Scholar] [CrossRef]
- Hirsch, R.; Landt, Y.; Porter, S.; Canter, C.E.; Jaffe, A.S.; Ladenson, J.H.; Grant, J.W.; Landt, M. Cardiac troponin I in pediatrics: Normal values and potential use in the assessment of cardiac injury. J. Pediatr. 1997, 130, 872–877. [Google Scholar] [CrossRef]
- Heal, C.; Harvey, A.; Brown, S.; Rowland, A.G.; Roland, D. The association between temperature, heart rate, and respiratory rate in children aged under 16 years attending urgent and emergency care settings. Eur. J. Emerg. Med. 2022, 29, 413–416. [Google Scholar] [CrossRef]
- Dickinson, D.F. The normal ECG in childhood and adolescence. Heart 2005, 91, 1626–1630. [Google Scholar] [CrossRef] [PubMed]
- Barman, H.A.; Atici, A.; Alici, G.; Sit, O.; Tugrul, S.; Gungor, B.; Okuyan, E.; Sahin, I. The effect of the severity COVID-19 infection on electrocardiography. Am. J. Emerg. Med. 2021, 46, 317–322. [Google Scholar] [CrossRef] [PubMed]
- Kersten, J.; Schellenberg, J.; Jerg, A.; Kirsten, J.; Persch, H.; Liu, Y.; Steinacker, J.M. Strain Echocardiography in Acute COVID-19 and Post-COVID Syndrome: More than Just a Snapshot. Biomedicines 2023, 11, 1236. [Google Scholar] [CrossRef] [PubMed]
Variables | n = 127 | |
---|---|---|
Males, n (%) | 62 (48.8) | |
Median (IQR) age at diagnosis, years | 2 (0.83–6.0) | |
Median (IQR) BMI | 16.6 (15.4–17.8) | |
Median (IQR) BMI z-scores | 0.21 (−0.62; 0.74) | |
Median (IQR) length of stay, days | 4 (3–6) | |
Median (IQR) time from positivity to ECG | 0 (0–1) | |
COVID-19 symptoms severity, n (%) | Mild | 77 (60.6) |
Moderate | 38 (29.9) | |
Severe | 12 (9.5) | |
Fever, n (%) | 98 (77.1) | |
Headache, n (%) | 2 (1.6) | |
Abdominal pain, n (%) | 18 (14.2) | |
Sore throat, n (%) | 12 (9.5) | |
Vomiting, n (%) | 56 (44.1) | |
Diarrhea, n (%) | 26 (20.6) | |
Chest pain, n (%) | 7 (5.5) | |
Cough, n (%) | 30 (23.6) | |
Dyspnea, n (%) | 12 (9.5) | |
Rhinitis, n (%) | 16 (12.6) | |
Inappetence, n (%) | 29 (22.8) | |
Previous COVID-19 disease | 14 (11.0) | |
Median (IQR) CRP mg/dL | 1.3 (0.6–3.3) | |
Median (IQR) PCT ng/mL | 0.19 (0.05–0.70) | |
Median (IQR) ferritin ng/mL | 119 (72–215) | |
Median (IQR) troponin pg/mL | 6.3 (4.6–10.0) | |
Median (IQR) NT-proBNP pg/mL | 115 (55–316) | |
Median (IQR) D-dimer mg/L | 0.58 (0.37–1.28) | |
Mean (SD) PLT ×103 µL | 279 (92.2) | |
Comorbidity, n (%) | 21 (16.5) | |
IV fluids, n (%) | 88 (71.0) | |
Paracetamol, n (%) | 52 (41.9) | |
Azithromycin, n (%) | 15 (12.1) | |
Amoxicillin, n (%) | 32 (25.8) | |
Ceftriaxone, n (%) | 22 (17.7) | |
Betamethasone/Methylprednisolone, n (%) | 27 (21.8) | |
Omeprazole/pantoprazole, n (%) | 11 (8.9) | |
Enoxaparin, n (%) | 17 (13.6) | |
ASA 100 mg, n (%) | 2 (1.6) | |
Gamma globulin, n (%) | 2 (1.6) | |
Transfusion, n (%) | 2 (1.6) | |
O2 therapy, n (%) Echocardiography, n (%) | 7 (5.7) 11 (8.7) | |
Chest X-ray, n (%) | 14 (11.3) | |
Chest CT, n (%) | 2 (1.6) |
Variables | Admission | Discharge | p-Value |
---|---|---|---|
Mean (SD) HR, bpm | 131 (34.3) | 118 (32.7) | <0.0001 |
Median (IQR) PR, msec | 110 (90–120) | 110 (90–120) | 0.66 |
Median (IQR) QRS, msec | 70 (60–70) | 70 (60–70) | 0.18 |
Median (IQR) QTc, msec | 400 (383–413) | 400 (382–416) | 0.58 |
Variables | Mild (n = 77) | Moderate (n = 38) | Severe (n = 12) | p-Value |
---|---|---|---|---|
Median (IQR) age | 2.0 (0.8–4.0) | 2.6 (0.8–7.0) | 5 (2.5–6.5) | 0.18 |
Median (IQR) CRP mg/dL | 1 (0.5–2.0) | 2.5 (0.9–6.7) | 2.2 (1.1–4.2) | 0.002 * |
Median (IQR) PCT ng/mL | 0.15 (0.02–0.54) | 0.38 (0.10–1.14) | 0.18 (0.02–0.74) | 0.17 |
Median (IQR) ferritin ng/mL | 109 (67–197) | 154 (97–242) | 119 (72–262) | 0.23 |
Median (IQR) troponin pg/mL | 6.5 (4.8–10.0) | 6.2 (3.9–11.6) | 6.3 (4.4–9.1) | 0.91 |
Median (IQR) NT-proBNP pg/mL | 107.5 (55–254) | 172.5 (59–341) | 159 (52–322) | 0.54 |
Median (IQR) D-dimer mg/L | 0.52 (0.40–0.90) | 0.89 (0.34–5.47) | 0.70 (0.30–4.23) | 0.32 |
Median (IQR) PLT ×103 µL | 281 (218–361) | 263 (228–335) | 234 (195–200) | 0.13 |
At admission | ||||
Mean (SD) HR, bpm | 132 (35.4) | 131 (31.2) | 128 (39.1) | 0.94 |
Median (IQR) PR, msec | 110 (90–120) | 110 (100–120) | 110 (100–120) | 0.99 |
Mean (SD) QRS, msec | 70 (8.6) | 70 (12.2) | 66 (9.2) | 0.17 |
Mean (SD) QTc, msec | 398 (20.4) | 401 (17.2) | 409 (23.6) | 0.21 |
At discharge | ||||
Mean (SD) HR, bpm | 117 (32.1) | 117 (32.8) | 128 (35.9) | 0.61 |
Median (IQR) PR, msec | 110 (90–120) | 110 (100–120) | 110 (80–120) | 0.76 |
Mean (SD) QRS, msec | 65 (8.2) | 69 (13.1) | 69 (9.4) | 0.24 |
Mean (SD) QTc, msec | 397 (20.4) | 405 (21.2) | 405 (20.0) | 0.26 |
Variables | Female (n = 65) | Male (n = 62) | p-Value |
---|---|---|---|
Median (IQR) CRP mg/dL | 1.5 (0.6–3.0) | 1.1 (0.6–3.7) | 0.70 |
Median (IQR) PCT ng/mL | 0.2 (0.1–0.7) | 0.2 (0.0–0.6) | 0.44 |
Median (IQR) ferritin ng/mL | 149 (90–255) | 90 (58–182) | 0.005 |
Median (IQR) troponin pg/mL | 6.5 (4.8–10.5) | 6.2 (4.4–9.0) | 0.36 |
Median (IQR) NT-proBNP pg/mL | 136 (54–322) | 110 (55–203) | 0.40 |
Median (IQR) D-dimer mg/L | 0.6 (0.4–1.1) | 0.6 (0.3–1.4) | 0.89 |
Mean (SD) PLT ×103 µL | 273.3 (97.6) | 285.6 (86.6) | 0.45 |
At admission | |||
Mean (SD) HR, bpm | 132.4 (35.5) | 129.7 (33.4) | 0.66 |
Median (IQR) PR, msec | 110 (90–120) | 110 (100–120) | 0.56 |
Median (IQR) QRS, msec | 60 (60–70) | 70 (60–70) | 0.13 |
Mean (SD) QTc, msec | 399.3 (20.6) | 399.5 (19.4) | 0.96 |
At discharge | |||
Mean (SD) HR, bpm | 122.1 (28.8) | 114.7 (35.9) | 0.30 |
Median (IQR) PR, msec | 105 (90–120) | 110 (100–120) | 0.30 |
Median (IQR) QRS, msec | 60 (60–70) | 70 (60–80) | 0.53 |
Mean (SD) QTc, msec | 403.5 (21.0) | 398.2 (20.3) | 0.25 |
Variables | Age < 2 Years (n = 55) | Age 2–5 Years (n = 39) | Age ≥ 6 Years (n = 33) | p-Value |
---|---|---|---|---|
Median (IQR) CRP mg/dL | 1.0 (0.6–2.9) | 1.7 (0.7–4.0) | 1.4 (0.6–2.5) | 0.66 |
Median (IQR) PCT ng/mL | 0.2 (0.1–0.6) | 0.5 (0.1–1.7) | 0.1 (0.0–0.2) | 0.006 1 |
Median (IQR) ferritin ng/mL | 163.5 (81–290) | 102 (73.0–153.5) | 90 (49–170) | 0.03 |
Median (IQR) troponin pg/mL | 8.9 (6.2–17.0) | 5.4 (4.5–6.4) | 5.4 (3.7–8.4) | 0.0001 2 |
Median (IQR) NT-proBNP pg/mL | 233.5 (107–530) | 115 (56.0–299.5) | 52 (35–94) | 0.0001 3 |
Median (IQR) D-dimer mg/L | 0.9 (0.5–2.0) | 0.5 (0.3–0.8) | 0.5 (0.3–1.2) | 0.001 4 |
Median (IQR) PLT ×103 µL | 300 (229–373) | 258 (213–346) | 248 (221–291) | 0.15 |
At admission | ||||
Mean (SD) HR, bpm | 151.9 (27.7) | 128.5 (27.3) | 101.0 (27.2) | <0.0001 5 |
Mean (IQR) PR, msec | 97.6 (15.2) | 111.7 (17.2) | 122.7 (21.7) | <0.0001 6 |
Mean (SD) QRS, msec | 66.0 (10.2) | 66.3 (9.4) | 70.3 (9.8) | 0.12 |
Mean (SD) QTc, msec | 398.7 (21.1) | 398.9 (19.0) | 401.2 (19.6) | 0.83 |
At discharge | ||||
Median (IQR) HR, bpm | 132.5 (117.5–150.0) | 115 (98–140) | 82 (68–100) | 0.0001 7 |
Mean (SD) PR, msec | 98.2 (17.5) | 108.6 (16.1) | 126.4 (22.4) | <0.0001 8 |
Mean (SD) QRS, msec | 63.8 (8.8) | 67.7 (11.1) | 72.7 (10.3) | 0.005 9 |
Mean (SD) QTc, msec | 396.4 (20.9) | 404.7 (20.8) | 404.9 (19.5) | 0.19 |
PR | QRS | QTc | |
---|---|---|---|
Troponin | −0.39; 0.0001 | −0.18; 0.07 | 0.11; 0.27 |
NT-proBNP | −0.45; <0.0001 | −0.12; 0.22 | −0.05; 0.65 |
PCR | −0.04; 0.72 | 0.16; 0.10 | 0.03; 0.75 |
PCT | −0.29; 0.003 | −0.10; 0.30 | 0.02; 0.85 |
D-dimer | −0.42; <0.0001 | −0.06; 0.56 | −0.03; 0.79 |
Ferritin | −0.17; 0.09 | −0.13; 0.19 | −0.03; 0.73 |
PLT | −0.05; 0.61 | −0.06; 0.52 | −0.07; 0.46 |
Variables | Cases (n = 127) | Controls (n = 128) | p-Value |
---|---|---|---|
Males, n (%) | 62 (48.8) | 64 (50.0) | 0.85 |
Median (IQR) age | 2 (0.8–6.0) | 3 (0.7–7.5) | 0.72 |
Median (IQR) BMI | 16.6 (15.4–17.8) | 16.1 (14.9–17.4) | 0.10 |
Median (IQR) BMI z-score | 0.2 (−0.6;0.7) | −0.2 (−0.9;0.4) | 0.01 |
Median (IQR) HR (bpm) | 130 (105–155) | 109 (87.5–125.0) | <0.0001 |
Median (IQR) PR (msec) | 110 (90–120) | 115 (100–120) | 0.02 |
Median (IQR) QRS (msec) | 70 (60–70) | 70 (60–80) | 0.92 |
Mean (SD) QTc (msec) | 399.4 (20.0) | 403.9 (19.2) | 0.07 |
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Locci, C.; Bassareo, P.P.; Fanelli, C.; Maida, I.; Saderi, L.; Puci, M.V.; Sotgiu, G.; Culeddu, M.C.; Piga, S.; Oppo, A.; et al. Electrocardiography in Children Hospitalized for COVID-19 and Not Suffering from Multisystem Inflammatory Syndrome in Children (MIS-C): An Observational Study. J. Cardiovasc. Dev. Dis. 2024, 11, 85. https://doi.org/10.3390/jcdd11030085
Locci C, Bassareo PP, Fanelli C, Maida I, Saderi L, Puci MV, Sotgiu G, Culeddu MC, Piga S, Oppo A, et al. Electrocardiography in Children Hospitalized for COVID-19 and Not Suffering from Multisystem Inflammatory Syndrome in Children (MIS-C): An Observational Study. Journal of Cardiovascular Development and Disease. 2024; 11(3):85. https://doi.org/10.3390/jcdd11030085
Chicago/Turabian StyleLocci, Cristian, Pier Paolo Bassareo, Chiara Fanelli, Ivana Maida, Laura Saderi, Mariangela V. Puci, Giovanni Sotgiu, Maria Chiara Culeddu, Stefania Piga, Antonella Oppo, and et al. 2024. "Electrocardiography in Children Hospitalized for COVID-19 and Not Suffering from Multisystem Inflammatory Syndrome in Children (MIS-C): An Observational Study" Journal of Cardiovascular Development and Disease 11, no. 3: 85. https://doi.org/10.3390/jcdd11030085
APA StyleLocci, C., Bassareo, P. P., Fanelli, C., Maida, I., Saderi, L., Puci, M. V., Sotgiu, G., Culeddu, M. C., Piga, S., Oppo, A., & Antonucci, R. (2024). Electrocardiography in Children Hospitalized for COVID-19 and Not Suffering from Multisystem Inflammatory Syndrome in Children (MIS-C): An Observational Study. Journal of Cardiovascular Development and Disease, 11(3), 85. https://doi.org/10.3390/jcdd11030085