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Article

Glucagon-like Peptide-1 Receptor Agonists and Suicidal Ideation: Analysis of Real-Word Data Collected in the European Pharmacovigilance Database

by
Rosanna Ruggiero
1,2,†,
Annamaria Mascolo
1,2,*,†,
Angela Spezzaferri
1,2,
Claudia Carpentieri
1,2,
Daniele Torella
3,
Liberata Sportiello
1,2,
Francesco Rossi
1,2,
Giuseppe Paolisso
4,5 and
Annalisa Capuano
1,2
1
Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, 80138 Napoli, Italy
2
Department of Experimental Medicine—Section of Pharmacology “L. Donatelli”, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy
3
Department of Experimental and Clinical Medicine, Magna Græcia University, 88100 Catanzaro, Italy
4
Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy
5
UniCamillus International Medical University, 00131 Rome, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this manuscript and serve as co-first authors.
Pharmaceuticals 2024, 17(2), 147; https://doi.org/10.3390/ph17020147
Submission received: 12 December 2023 / Revised: 12 January 2024 / Accepted: 16 January 2024 / Published: 23 January 2024
(This article belongs to the Section Pharmacology)

Abstract

:
Background: A potential risk of suicide associated with liraglutide or semaglutide treatments has recently emerged. Therefore, we decided to investigate the reporting probability of suicidal events among glucagon-like peptide-1 receptor agonists (GLP-1 RAs). Methods: A retrospective pharmacovigilance study of the European Pharmacovigilance database was conducted for the period from 1 January 2018 to 10 July 2023. Disproportionality analyses (reporting odds ratio, ROR) were performed to assess the reporting probability of suicidal events among GLP-1 RAs. Results: A total of 230 reports of suicidal events were identified. The most reported GLP-1 RA was liraglutide (38.3%), followed by semaglutide (36.5%) and dulaglutide (16.1%). The most reported events were suicidal ideation (65.3%) and suicide attempt (19.5%). Disproportionality analysis found a higher reporting probability of suicidal events for semaglutide than dulaglutide (ROR, 2.05; 95%CI, 1.40–3.01) and exenatide (ROR, 1.81; 95%CI, 1.08–3.05). In the same way, liraglutide was associated with a higher reporting probability of suicidal events than dulaglutide (ROR, 3.98; 95%CI, 2.73–5.82) and exenatide (ROR, 3.52; 95%CI, 2.10–5.92). On the contrary, a lower reporting probability was found for semaglutide than liraglutide (ROR, 0.51; 95%CI, 0.38–0.69). Conclusions: Suicidal events were mostly reported with semaglutide and liraglutide, which were also associated with significantly higher reporting probabilities compared to other GLP1 RAs. Although this study provides the reporting frequencies of suicide-related events with GLP-1 RAs, establishing causality requires further investigation, which will probably be addressed by the Pharmacovigilance Risk Assessment Committee of the European Medicine Agency in the future.

1. Introduction

On 11 July 2023, the European Medicine Agency (EMA) started an ongoing safety revision of glucagon-like peptide-1 receptor agonists (GLP-1 RAs), which is being carried out by the EMA Pharmacovigilance Risk Assessment Committee (PRAC) [1]. In particular, the data review focuses on the risk of suicidal thoughts and thoughts of self-harm in patients treated with these drugs.
GLP-1 RAs are incretin-mimetic agents, being mainly recommended for type 2 diabetes mellitus (T2DM) [2]. By stimulating GLP-1 receptors, this class of drugs can lower blood glucose, increase insulin secretion induced by hyperglycemia, and suppress glucagon release in hyper- or euglycemia. To date, in Europe, six GLP-1 RAs have been authorized. Exenatide was the first one, being authorized in 2006 for T2DM. Subsequently, the European Agency approved liraglutide (in 2009), lixisenatide (in 2013), combination liraglutide/insulin degludec, and dulaglutide (both in 2014), and most recently, semaglutide (in 2018). Another GLP-1 RA, albiglutide, was withdrawn from the European market upon request of the marketing authorization holder in 2018 for commercial reasons. All GLP-1 RAs are administered subcutaneously. The new oral semaglutide formulation, introduced in 2020, represents a pharmaceutical innovation aimed at increasing compliance in diabetic patients. Moreover, GLP-1 RAs have demonstrated cardiovascular benefits in high-risk patients, such as those with coronary syndromes, heart failure, or chronic kidney diseases, representing pharmacological progress in reducing the burden not only of diabetes mellitus but also of its complications [3]. The most common adverse events of GLP-1 RAs are gastrointestinal symptoms (nausea, vomiting, diarrhoea), which occur at start of the treatment and during dose escalation. Therefore, to reduce the onset of gastrointestinal events, gradual up-titration should be performed [3].
Beyond hypoglycaemic, endocrine, and cardiovascular effects, several decades of research have also shown the extended actions of GLP-1 RAs, which include decelerated gastric emptying and a reduction in food intake and body weight [4]. These are due to the expression of GLP-1 receptors in the central nervous system, including the area of the brain that regulates appetite [5]. For this reason, GLP-1 RAs increase feelings of fullness and decrease feelings of hunger. These additional actions have promoted their use for body weight control. Indeed, two GLP-1 RAs (liraglutide and semaglutide) were authorized in 2015 and 2022, respectively, for obesity or overweight treatment. In particular, Saxenda® (liraglutide) and Wegovy® (semaglutide) were approved as adjuncts to a reduced-calorie diet and increased physical activity for weight management in adults with a body mass index (BMI) of ≥30 kg/m2 (obesity) or ≥27 kg/m2 to <30 kg/m2 (overweight) in the presence of at least one weight-related comorbidity (e.g., prediabetes, type 2 diabetes mellitus, hypertension, dyslipidaemia, obstructive sleep apnoea, or cardiovascular disease) and as an adjunct to healthy nutrition and increased physical activity for weight management in obese adolescents (≥12 years) with a BMI corresponding to 30 kg/m2 for adults or with body weight above 60 kg.
Recently, the increased demand for semaglutide and the possible misuse of these antidiabetics as a weight loss treatment in non-obese people have been described in the literature and by the media [6,7,8]. Almost simultaneously, reports of suicidal thoughts in people using liraglutide and semaglutide were highlighted [1]. For this reason, the PRAC started a safety review initially involving semaglutide and liraglutide and subsequently expanded it to the entire class of GLP-1 RAs [1]. The evidence evaluating this risk is meagre. Few recent studies have questioned this association [9,10,11], and no study has compared this risk between different GLP-1 RAs. Clinical trials have several limitations related to their duration and patient inclusion criteria that can impede investigations on psychiatric adverse events. Consequently, psychiatric safety issues may emerge from clinical practice through the analysis of real-world safety data [12]. Considering the clinical relevance of this potential suicidal risk associated with GLP-1 RAs and the availability of pharmacovigilance databases as a source of real-world information, the present study aimed to evaluate the characteristics of suicidal events reported with GLP-1 RAs through the analysis of the pharmacovigilance database EudraVigilance (EV).

2. Results

2.1. Descriptive Characteristics of Individual Case Safety Reports

During the period from 1 January 2018 to 10 July 2023, a total of 41,236 Individual Case Safety Reports (ICSRs) related to GLP-1 RAs were retrieved from EV, of which 230 (0.6%) reported at least one suicidal event. Descriptive characteristics for each GLP1 RA are listed in Table 1. The most reported GLP1 RA was liraglutide (n = 88; 38.3%), followed by semaglutide (n = 84; 36.5%), dulaglutide (n = 37; 16.1%), exenatide (n = 16; 6.9%), and liraglutide/insulin degludec (n = 5; 2.2%). For semaglutide, 9 ICSRs (10.7%) were related to the oral formulation (Rybelsus®) and 11 (13.1%) to the formulation authorized for weight management (Wegovy®). For liragluride, instead, 60 ICSRs (68.2%) were related to the formulation authorized for weight management (Saxenda®). No ICSR of suicide with lixisenatide was reported in EV. Considering that more than one suspected drug can be reported in an ICSR, we found that ICSRs of suicide reported a single GLP-1 RA as a suspected drug. Among ICSRs, the most reported age group was 18–64 years (n = 134; 58.3%), and the most reported sex was female (n = 133; 57.8%). The primary reporter was the healthcare professional (n = 151; 65.7%), and most ICSRs came from the non-European Economic Area (n = 191; 83.0%). The therapeutic indication was not reported for most ICSRs (n = 112; 48.7%), but when available, it was obesity/weight control (n = 48; 20.9%) and diabetes/blood glucose control (n = 67; 29.1%). Specifically, the most reported indications were diabetes mellitus (n = 63; 27.4%) and weight control (n = 32; 13.9%). ICSRs mainly reported diabetes/blood glucose control for dulaglutide (n = 24) and semaglutide (n = 20), while obesity/weight control for liraglutide (n = 30) and semaglutide (n = 14), with only one ICSR reported with exenatide. The GLP1 RA was the only suspected drug reported in most ICSRs (n = 166; 72.2%), and no concomitant medication was reported (n = 152; 66.1%).
A total of 124 other suspected drugs were identified in ICSRs with more suspected drugs (n = 64; 27.8%), (Supplementary Table S1). Specifically, most suspected drugs belonged to ATC A10A (insulins and analogues (n = 27; 21.8%)), followed by N06A (antidepressants (n = 14; 11.3%)), A10B (blood-glucose-lowering drugs (n = 12; 9.7%)), and N03A (antiepileptics (n = 11; 8.9%)). All other ATCs of suspected drugs and a list of active ingredients are shown in Supplementary Tables S1 and S2, respectively.
A total of 78 (33.9%) ICSRs reported one or more concomitant drugs for a total of 363 concomitants. The most reported concomitants belonged to the ATC A10B (blood-glucose-lowering drugs (n = 49; 13.5%)), N06A (antidepressants (n = 35; 9.6%), C10A (lipid-modifying agents, plain (n = 25; 6.9%)), and A02B (drugs for peptic ulcer and gastro-oesophageal reflux disease (n = 16; 4.4%)). All other ATCs of concomitant drugs and a list of active ingredients are shown in Supplementary Tables S3 and S4, respectively.

2.2. Descriptive Characteristics of Suicidal Events

A total of 236 suicidal events out of 230 ICSRs were identified (Table 2). The most reported events were suicidal ideation (n = 154; 65.3%) and suicide attempt (n = 46; 19.5%). Suicidal ideation was primarily reported with liraglutide (60 out of 90 suicidal events; 66.7%) and semaglutide (67 out of 86; 77.9%), while suicide attempts were primally observed with dulaglutide (15 out of 38; 39.5%) and liraglutide (16 out of 90; 17.8%). Both events were mainly reported in females (suicidal ideation: 99 out of 137 events in females, 72.3%; suicide attempt: 22 out of 137; 16.1%; Table 2). All suicidal events (except for one unknown) were serious, with the most reported seriousness criterion being “other medically important condition” (n = 161; 68.2%). The outcome was unavailable for 106 ICSRs (44.9%) and resolved in 74 ICSRs (31.4%). The outcome was fatal in 14 ICSRs (5.9%). All seriousness and outcome criteria for each GLP1 RA are listed in Table 3.

2.3. Disproportionality Analysis

From the disproportionality analysis, statistically significant differences emerged for semaglutide or liraglutide compared to other GLP1 RAs. In particular, the probability of reporting suicidal events was found to be higher for semaglutide than dulaglutide (ROR, 2.05; 95%CI, 1.40–3.01) or exenatide (ROR, 1.81; 95%CI, 1.08–3.05) and higher for liraglutide than dulaglutide (ROR, 3.98; 95%CI, 2.73–5.82) or exenatide (ROR, 3.52; 95%CI, 2.10–5.92). On the contrary, the reporting probability was found to be lower for semaglutide than liraglutide (ROR, 0.51; 95%CI, 0.38–0.69). All other comparisons did not show statistically significant differences (Figure 1).

3. Discussion

The present study is the first pharmacovigilance study to evaluate the reporting of suicidal events as suspected adverse drug reactions associated with the GLP1 RAs, by using the European pharmacovigilance database. GLP1 RA-induced suicidal events were mentioned in the European risk management plans for such medicines. They were brought to the attention of the Icelandic Medicines Agency after the reporting of cases of suicidal thoughts and self-harm in people using liraglutide and semaglutide [1]. This study provides reporting frequencies of suicide-related events with GLP-1 RAs. However, the causation requires further investigation, and a conclusion will be provided by the PRAC in the future. In this study, we found a 2-fold increase in the reporting of suicidal events with semaglutide compared with exenatide and dulaglutide. This estimate was even higher in the comparison between liraglutide and exenatide or dulaglutide, with 4- and 3.5-fold increases in the reporting of suicidal events, respectively. Moreover, when the comparison was between semaglutide and liraglutide, semaglutide showed a lower reporting of suicidal events. The more recent marketing authorization of semaglutide may explain this finding and the lower reporting of suicidal events. Both medicines also have the central effect of reducing appetite and are used not only for the treatment of diabetes mellitus but also for the treatment of obesity and overweight [13,14]. Generally, all centrally acting anti-obesity drugs draw attention for their neuropsychiatric safety [15,16]. A pooled post hoc analysis of neuropsychiatric safety data from the liraglutide weight management clinical trials program on liraglutide 3.0 mg found that the incidences of depression, anxiety, and insomnia were low (≤4%) in both the liraglutide and placebo groups, but with a slight increase in insomnia and suicidal ideation for liraglutide [17]. On the contrary, clinical trials with lower doses of liraglutide (up to 1.8 mg) for T2DM did not find any safety signal for neuropsychiatric events [18,19]. Therefore, it seems that the suicidal risk of GLP1 RAs could be related to the use of higher doses for weight management. Indeed, based on this consideration, the US prescribing information already states that patients should be monitored during treatment with liraglutide 3.0 mg for depression or suicidal thoughts and should discontinue the drug if these symptoms appear [20]. The same warning is also reported in the US prescribing information of semaglutide for obesity (Wegovy®), which is also used at higher dosages for weight control than T2DM [21]. However, these warnings are not reported in any European summary of the product characteristics (SmPCs) for any GLP-1 RA.
A possible mechanism explaining the risk of suicidal events with GLP-1 RAs is related to their action in the hypothalamus [5] since the hyperactivity of the hypothalamic–pituitary–adrenal axis has been associated with suicidal behaviours [22]. However, the evidence for the role of GLP1 in the nervous system is conflicting. There is also evidence showing the ability of GLP1 to attenuate neuroinflammation, protect neurons and glia from oxidative stress, and improve neurotransmitter balance [23]. Moreover, the potential interaction between GLP-1 and serotonin pathways has been the objective of recent studies for energy balance regulation [24,25]. We cannot exclude the possibility that this interaction may also play a role in the pathogenesis of depression and suicidal ideation. Therefore, any causal conclusion is even more complicated. Indeed, many risk factors may contribute to or precipitate the onset of suicidal behaviours in patients treated with GLP1 RAs, including psychosocial and biological factors.
Considering that suicide is a public health problem, the identification of risk factors is fundamental, representing the fourth leading cause among the 15–29-years-old group. According to the latest World Health Organization (WHO) data, more than 700,000 people die each year due to suicide [22]. Suicides require timely, evidence-based, and adequate interventions based on the identified risk factors [26].
Multiple biological factors can also contribute to the pathophysiology of adverse events [27,28], including suicidal events [29]. Among these, sex can contribute to suicidal behaviours. In the literature, suicide attempts are more frequent in females, while completed suicides are three times more common in males [22]. In line with this, in our analysis, females more frequently described suicidal ideation and suicide attempts in ICSRs, while the rate of completed suicide was three times higher in males than females. Moreover, underlying or concomitant diseases and concomitant drug treatments are possible confounding factors for suicide. Several diseases and pharmacological treatments can increase suicide risk. First of all, diabetic and obese patients represent a fragile population, being more exposed to the risk of suicide than the general population because of their underlying pathologies [30]. Both diabetes [31,32] and obesity [33,34] have been identified as suicidal risk factors. Among obese patients, the association between obesity and suicide seems to be influenced by sex, being greater for women than men [35]. Moreover, suicidal ideation could also be a consequence of the therapeutic inefficacy of GLP1 RAs used for weight control. A cross-sectional study suggested an association between weight control failure and suicidal ideation in overweight and obese adults, especially in women [36]. However, in our dataset, no ICSRs reported therapeutic ineffectiveness. Regarding diabetes, both types of diabetes were associated with an increased occurrence of psychiatric disorders, including suicidal ideation. Psychiatric disorders, in particular depression, are well-known suicide risk factors [22]. In our dataset, antidepressants were the most reported suspected as well as concomitant drugs. Moreover, most suspected drugs were also antiepileptics. Even if a recent meta-analysis seems to question it [37], the link between suicide and these medications is widely described in the literature [38,39,40] and reported in all SmPCs of these drugs. Finally, other suspected and concomitant medicines reported in our ICSRs may have influenced the development of symptoms of suicidal behaviour. Statins, for example, have been associated with higher reporting of psychiatric adverse events in a previous pharmacovigilance study [41]. Proton pump inhibitors have also been investigated for their psychiatric effects, including suicidal ideation and depression [42]. Renin–angiotensin–aldosterone system (RAAS) blockers have also been found to be related to the risk of suicide due to the central role played by RAAS in mood disorders [43]. Considering the many contributing risk factors for suicide, understanding its causal relationship with medicine may be very hard, thus requiring further research on this topic.
The main strength of our study is the use of a broad data source, the EV database, which allows the evaluation of safety cases all over Europe. Moreover, a pharmacovigilance database has a low cost and is helpful for characterizing drug safety profiles in the real world. However, this study also has several limitations. First of all, some cases of suicide with GLP1 RAs may not have been reported to the national drug authorities and thus not submitted to EV (the underreporting phenomenon). Underreporting is a notable limitation of pharmacovigilance systems, as only 6–10% of all adverse events are reported to regulatory authorities [44,45]. This underreporting can prevent the quantification of the incidence of adverse events and the risk estimates [45], and it can delay the identification of safety signals, with repercussions for public health [45,46,47]. Another limitation is the quality of information reported. Indeed, ICSRs may be incomplete and lacking useful clinical information, such as clinical history and concomitant comorbidities and medications. This lack of information can impede the evaluation of confounding factors. From our data source, we cannot evaluate data on lifestyle factors, psychiatric comorbidities, or other medical conditions that could be associated with the risk of suicide. We also cannot retrieve information on the exact dates of administration and event onset. Both underreporting of ICSRs and possibly missing information can introduce information biases in the analysis. Moreover, the exact number of patients exposed to GLP1 RAs is unavailable in EV (real users), where we can only use the total number of events of each drug as a denominator for disproportionality analyses. Finally, our analyses were restricted to comparisons within the drug class of GLP1 RAs. Considering these limitations, our study only aimed to analyse ICSRs related to suicide with GLP1 RAs and to show the reporting probability of these adverse events but refrained from asserting any direct causal association between GLP-1 RAs and the risk of suicidal events.

4. Materials and Methods

4.1. Study Design

This was a retrospective European pharmacovigilance study aiming to compare the reporting probability of suicidal events between GLP1 RAs.

4.2. Data Source

The EV is the European pharmacovigilance database, managed by the EMA, used for the management, collection, and analyses of all adverse events that, according to the reporters’ opinion, may be potentially related to the administration of a drug/s or vaccine/s. Therefore, it collects all safety reports sent by healthcare professionals or citizens to medicines regulatory authorities that describe any adverse drug reaction/s (ADRs) or adverse events following immunization (AEFIs) [28]. The analysis of pharmacovigilance databases is included in the continuous monitoring of medicines, allowing the extrapolation of safety information and signals from the real-life context [48,49]. According to a transparency policy, the data collected in the EV are publicly available on the EMA website (www.adrreports.eu, accessed on 13 July 2023).

4.3. Data Retrieval

On 13 July 2023, we retrieved from the EMA website (www.adrreports.eu) all ICSRs reporting at least one GLP-1 RA as a suspected drug and collected in EV from 1 January 2018 (EMA authorization year of the most recent GLP-1 RA semaglutide) to 10 July 2023. To identify all GLP1 RAs, we used the Anatomical Therapeutic Chemical (ATC) Classification A10BJ, which includes semaglutide, liraglutide, exenatide, lixisenatide, dulaglutide, albiglutide, and beinaglutide. From our research, we excluded the following molecules: albiglutide, which was actually withdrawn from the European market due to commercial reasons [50], and beinaglutide, which his authorized only in the United States [51] and China [52]. We also included the combination product liraglutide/insulin degludec.

4.4. Data Management

ICSRs were downloaded from the EMA website by interrogating this tool with a level of access dedicated to the stakeholder group II (SGII: healthcare professionals and the public) based on the revised Eudravigilance access policy. ICSRs were retrieved as Microsoft Excel files for each GLP1 RA, in which a row is an ICSR. Then, all extracted Excel files were merged. and duplicates were removed.

4.5. Descriptive Analysis

We focused our analysis on ICSRs reporting a GLP-1 RA and a suicidal event as an ADR. According to the Medical Dictionary for Regulatory Activities (MedDRA) version 26.1, suicidal events were identified based on the Preferred Terms: completed suicide, depression suicidal, suicidal behaviour, suicidal ideation, or suicide attempt. We conducted a descriptive analysis of these ICSRs, describing their demographic characteristics. In particular, we described the age group and sex of patients, the type of reporter (as healthcare professional or non-healthcare professional), the country source (European Economic Area or non-European Economic Area). These data are collected in an ICSR through the spontaneous reporting system, whereby a healthcare professional or citizen can report a suspected adverse drug reaction to a National Competent Authority. Moreover, we described the number of concomitant or suspected drugs and the therapeutic indication of the GLP-1 RA reported as a suspected drug. Subsequently, we described the reported suicidal events in terms of outcome and seriousness criteria for each GLP1 RA and for the sex of patients. The outcome of suicidal events was classified as “recovered/resolved”, “recovering/resolving”, “recovered/resolved with sequelae”, “not recovered/not resolved”, “fatal”, and “unknown”. According to the current pharmacovigilance regulations, seriousness criteria included “results in death”, “caused/prolonged hospitalization”, “disabling”, “life-threatening”, “congenital abnormalities/birth deficits”, or “other medically important condition”. Finally, we described other suspected drugs reported in ICSRs of suicidal events by specifying the active ingredients and classifying them by the ATC Classification.

4.6. Disproportionality Analysis

To identify a hypothetical different reporting probability of suicidal events between GLP1 RAs, we performed a disproportionality analysis by computing the reporting odds ratio (ROR) and its 95% confidence interval (95%CI) of suicidal events among GLP-1 RAs. The following comparisons were performed: semaglutide vs. dulaglutide, or exenatide, or liraglutide, or liraglutide/insulin degludec; liraglutide vs. dulaglutide, or exenatide, or liraglutide/insulin degludec; liraglutide/insulin degludec vs. dulaglutide or exenatide; dulaglutide vs. exenatide. The ROR was calculated as (a/c)/(b/d), where “a” is the number of suicidal events reported with a GLP1 RA, “c” is the number of suicidal events reported with the comparator (a different GLP1 RA), “b” is the number of other events reported with a GLP1 RA, and “d” is the number of other events reported with the comparator. A signal was identified when suicidal events were reported at least 5 times, and the lower bound of the 95%CI was higher than 1. For statistical significance, a p-value < 0.05 was considered.

4.7. Ethical Statement

Safety data deriving from pharmacovigilance databases are anonymous and in compliance with the ethical standard. Therefore, no further ethical measure was required.

5. Conclusions

Our study found 230 ICSRs describing suicidal events with GLP1 RAs. The most reported drugs were semaglutide and liraglutide, for which the disproportionality analyses found higher reporting probabilities than other GLP1 RAs. Among semaglutide and liraglutide ICSRs, 13.1% and 68.2% were related to the formulation authorized for weight management, respectively. The most reported events were suicidal ideation and suicide attempts in females and completed suicide in men. However, considering all the possible contributing factors for suicide, further investigations that take into account these aspects are needed, because the clinical trials were not powered enough to evaluate specifically neuropsychiatric events. This research underscores the need for strictly adhering to evidence-based practices when prescribing GLP1 RAs. Moreover, it highlights the importance of strengthening pharmacovigilance activities to facilitate the availability of more data concerning GLP-1 RAs in the future.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ph17020147/s1. Supplementary Table S1. Other suspected drugs reported in ICSRs of suicidal events with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, or semaglutide classified by the Anatomical Therapeutic Chemical (ATC) Classification. Supplementary Table S2. Active ingredients of other suspected drugs reported in ICSRs of suicidal events with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, or semaglutide. Supplementary Table S3. Concomitant drugs reported in ICSRs of suicidal events with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, or semaglutide classified by the Anatomical Therapeutic Chemical (ATC) Classification. Supplementary Table S4. Active ingredients of concomitant drugs reported in ICSRs of suicidal events with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, or semaglutide.

Author Contributions

R.R.: Conceptualization, Methodology, Data curation, Writing—original draft. A.M.: Conceptualization, Methodology, Data curation, Writing—original draft. A.S.: Methodology, Data curation. C.C.: Methodology, Data curation. D.T.: Investigation, Writing—review and editing, Supervision. L.S.: Investigation, Writing—review and editing, Supervision. F.R.: Conceptualization, Validation, Project administration. G.P.: Writing—review and editing, Validation. A.C.: Validation, Supervision, Funding acquisition. Final approval of manuscript: all authors. Accountable for all aspects of the work: all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded under the Italian fund “Manutenzione e continuità delle attività del Centro Regionale di Farmacovigilanza e Farmacoepidemiologia Regione Campania 2012–2014” of the Italian Medicine Agency (AIFA), funding number B61G17000170005.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

EV data are publicly available at https://www.adrreports.eu/, accessed on 13 July 2023.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. European Medicine Agency. EMA Statement on Ongoing Review of GLP-1 Receptor Agonists. Available online: https://www.ema.europa.eu/en/news/ema-statement-ongoing-review-glp-1-receptor-agonists (accessed on 31 July 2023).
  2. Górriz, J.L.; Romera, I.; Cobo, A.; O’Brien, P.D.; Merino-Torres, J.F. Glucagon-like Peptide-1 Receptor Agonist Use in People Living with Type 2 Diabetes Mellitus and Chronic Kidney Disease: A Narrative Review of the Key Evidence with Practical Considerations. Diabetes Ther. 2022, 13, 389–421. [Google Scholar] [CrossRef] [PubMed]
  3. Davies, M.J.; Aroda, V.R.; Collins, B.S.; Gabbay, R.A.; Green, J.; Maruthur, N.M.; Rosas, S.E.; Del Prato, S.; Mathieu, C. Management of Hyperglycaemia in Type 2 Diabetes, 2022. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care 2022, 45, 2753–2786. [Google Scholar] [CrossRef] [PubMed]
  4. Nauck, M.A.; Quast, D.R.; Wefers, J.; Meier, J.J. GLP-1 Receptor Agonists in the Treatment of Type 2 Diabetes—State-of-the-Art. Mol. Metab. 2021, 46, 101102. [Google Scholar] [CrossRef] [PubMed]
  5. Drucker, D.J. GLP-1 Physiology Informs the Pharmacotherapy of Obesity. Mol. Metab. 2022, 57, 101351. [Google Scholar] [CrossRef]
  6. Chiappini, S.; Vickers-Smith, R.; Harris, D.; Pelletier, G.D.P.; Corkery, J.M.; Guirguis, A.; Martinotti, G.; Sensi, S.L.; Schifano, F. Is There a Risk for Semaglutide Misuse? Focus on the Food and Drug Administration’s FDA Adverse Events Reporting System (FAERS) Pharmacovigilance Dataset. Pharmaceuticals 2023, 16, 994. [Google Scholar] [CrossRef]
  7. Ozempic: French Authorities. Issue Alert for Anti-Diabetic Drug Misused for Weight Loss. Available online: https://www.lemonde.fr/en/health/article/2023/03/02/ozempic-french-authorities-issue-alert-for-anti-diabetic-drug-misused-for-weight-loss_6017913_14.html (accessed on 1 August 2023).
  8. Italian Medicines Agency. Direct Healthcare Professional Communications Regarding Ozempic® (Semaglutide). 2023. Available online: https://aifa.gov.it/-/nota-informativa-importante-su-ozempic®-semaglutide- (accessed on 1 January 2024).
  9. McIntyre, R.S.; Mansur, R.B.; Rosenblat, J.D.; Kwan, A.T.H. The Association between Glucagon-like Peptide-1 Receptor Agonists (GLP-1 RAs) and Suicidality: Reports to the Food and Drug Administration Adverse Event Reporting System (FAERS). Expert. Opin. Drug Saf. 2023, 1–9. [Google Scholar] [CrossRef]
  10. Wang, W.; Volkow, N.D.; Berger, N.A.; Davis, P.B.; Kaelber, D.C.; Xu, R. Association of Semaglutide with Risk of Suicidal Ideation in a Real-World Cohort. Nat. Med. 2024. [Google Scholar] [CrossRef]
  11. Chen, C.; Zhou, R.; Fu, F.; Xiao, J. Postmarket Safety Profile of Suicide/Self-Injury for GLP-1 Receptor Agonist: A Real-World Pharmacovigilance Analysis. Eur. Psychiatry 2023, 66, e99. [Google Scholar] [CrossRef]
  12. Lucas, S.; Ailani, J.; Smith, T.R.; Abdrabboh, A.; Xue, F.; Navetta, M.S. Pharmacovigilance: Reporting Requirements throughout a Product’s Lifecycle. Ther. Adv. Drug Saf. 2022, 13. [Google Scholar] [CrossRef]
  13. European Medicines Agency. Saxenda. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/saxenda (accessed on 2 August 2023).
  14. European Medicines Agency. Wegovy. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/wegovy (accessed on 2 August 2023).
  15. Kang, J.G.; Park, C.Y. Anti-Obesity Drugs: A Review about Their Effects and Safety. Diabetes Metab. J. 2012, 36, 13–25. [Google Scholar] [CrossRef]
  16. Rodgers, R.J.; Tschöp, M.H.; Wilding, J.P.H. Anti-Obesity Drugs: Past, Present and Future. Dis. Model. Mech. 2012, 5, 621–626. [Google Scholar] [CrossRef] [PubMed]
  17. O’Neil, P.M.; Aroda, V.R.; Astrup, A.; Kushner, R.; Lau, D.C.W.; Wadden, T.A.; Brett, J.; Cancino, A.P.; Wilding, J.P.H. Neuropsychiatric Safety with Liraglutide 3.0 Mg for Weight Management: Results from Randomized Controlled Phase 2 and 3a Trials. Diabetes Obes. Metab. 2017, 19, 1529–1536. [Google Scholar] [CrossRef] [PubMed]
  18. Blonde, L.; Russell-Jones, D. The Safety and Efficacy of Liraglutide with or without Oral Antidiabetic Drug Therapy in Type 2 Diabetes: An Overview of the LEAD 1-5 Studies. Diabetes Obes. Metab. 2009, 11 (Suppl. S3), 26–34. [Google Scholar] [CrossRef] [PubMed]
  19. Marso, S.P.; Daniels, G.H.; Brown-Frandsen, K.; Kristensen, P.; Mann, J.F.E.; Nauck, M.A.; Nissen, S.E.; Pocock, S.; Poulter, N.R.; Ravn, L.S.; et al. Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes. Drug Ther. Bull. 2016, 54, 101. [Google Scholar] [CrossRef] [PubMed]
  20. Food and Drug Admistration. Saxenda—Highlights of Prescribing Information. Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2023/206321s016lbl.pdf (accessed on 12 January 2024).
  21. Food and Drug Administration. Wegovy—Highlights of Prescribing Information. 2022. Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/215256s005lbl.pdf (accessed on 12 January 2024).
  22. Wisłowska-Stanek, A.; Kołosowska, K.; Maciejak, P. Neurobiological Basis of Increased Risk for Suicidal Behaviour. Cells 2021, 10, 2519. [Google Scholar] [CrossRef]
  23. Kim, Y.K.; Kim, O.Y.; Song, J. Alleviation of Depression by Glucagon-Like Peptide 1 Through the Regulation of Neuroinflammation, Neurotransmitters, Neurogenesis, and Synaptic Function. Front. Pharmacol. 2020, 11, 1270. [Google Scholar] [CrossRef]
  24. Anderberg, R.H.; Richard, J.E.; Eerola, K.; López-Ferreras, L.; Banke, E.; Hansson, C.; Nissbrandt, H.; Berqquist, F.; Gribble, F.M.; Reimann, F.; et al. Glucagon-like Peptide 1 and Its Analogs Act in the Dorsal Raphe and Modulate Central Serotonin to Reduce Appetite and Body Weight. Diabetes 2017, 66, 1062–1073. [Google Scholar] [CrossRef]
  25. Chivite, M.; Naderi, F.; Conde-Sieira, M.; Soengas, J.L.; Lopez-Patiño, M.A.; Míguez, J.M. Central Serotonin Participates in the Anorexigenic Effect of GLP-1 in Rainbow Trout (Oncorhynchus mykiss). Gen. Comp. Endocrinol. 2021, 304, 113716. [Google Scholar] [CrossRef]
  26. Suicide. Available online: https://www.who.int/news-room/fact-sheets/detail/suicide (accessed on 2 August 2023).
  27. Rossi, C.; Ruggiero, R.; Sportiello, L.; Pentella, C.; Gaio, M.; Pinto, A.; Rafaniello, C. Did the COVID-19 Pandemic Affect Contrast Media-Induced Adverse Drug Reaction’s Reporting? A Pharmacovigilance Study in Southern Italy. J. Clin. Med. 2022, 11, 5104. [Google Scholar] [CrossRef]
  28. Ruggiero, R.; Balzano, N.; Di Napoli, R.; Mascolo, A.; Berrino, P.M.; Rafaniello, C.; Sportiello, L.; Rossi, F.; Capuano, A. Capillary Leak Syndrome Following COVID-19 Vaccination: Data from the European Pharmacovigilance Database Eudravigilance. Front. Immunol. 2022, 13, 956825. [Google Scholar] [CrossRef]
  29. Sher, L.; Oquendo, M.A. Suicide: An Overview for Clinicians. Med. Clin. N. Am. 2023, 107, 119–130. [Google Scholar] [CrossRef] [PubMed]
  30. Iwatate, E.; Atem, F.D.; Jones, E.C.; Hughes, J.L.; Yokoo, T.; Messiah, S.E. Association of Obesity, Suicide Behaviors, and Psychosocial Wellness Among Adolescents in the United States. J. Adolesc. Health 2023, 72, 526–534. [Google Scholar] [CrossRef] [PubMed]
  31. Sarkar, S.; Balhara, Y.P.S. Diabetes Mellitus and Suicide. Indian. J. Endocrinol. Metab. 2014, 18, 468. [Google Scholar] [CrossRef] [PubMed]
  32. Conti, C.; Mennitto, C.; Di Francesco, G.; Fraticelli, F.; Vitacolonna, E.; Fulcheri, M. Clinical Characteristics of Diabetes Mellitus and Suicide Risk. Front. Psychiatry 2017, 8, 248999. [Google Scholar] [CrossRef]
  33. Amiri, S.; Behnezhad, S. Body Mass Index and Risk of Suicide: A Systematic Review and Meta-Analysis. J. Affect. Disord. 2018, 238, 615–625. [Google Scholar] [CrossRef]
  34. Klinitzke, G.; Steinig, J.; Blüher, M.; Kersting, A.; Wagner, B. Obesity and Suicide Risk in Adults—A Systematic Review. J. Affect. Disord. 2013, 145, 277–284. [Google Scholar] [CrossRef]
  35. Branco, J.C.; Motta, J.; Wiener, C.; Oses, J.P.; Pedrotti Moreira, F.; Spessato, B.; Dias, L.; da Silva, R. Association between Obesity and Suicide in Woman, but Not in Man: A Population-Based Study of Young Adults. Psychol. Health Med. 2016, 22, 275–281. [Google Scholar] [CrossRef]
  36. Ju, Y.J.; Han, K.T.; Lee, T.H.; Kim, W.; Park, J.H.; Park, E.C. Association between Weight Control Failure and Suicidal Ideation in Overweight and Obese Adults: A Cross-Sectional Study. BMC Public. Health 2016, 16, 259. [Google Scholar] [CrossRef]
  37. Klein, P.; Devinsky, O.; French, J.; Harden, C.; Krauss, G.L.; McCarter, R.; Sperling, M.R. Suicidality Risk of Newer Antiseizure Medications: A Meta-Analysis. JAMA Neurol. 2021, 78, 1118–1127. [Google Scholar] [CrossRef]
  38. Mula, M.; Kanner, A.M.; Schmitz, B.; Schachter, S. Antiepileptic Drugs and Suicidality: An Expert Consensus Statement from the Task Force on Therapeutic Strategies of the ILAE Commission on Neuropsychobiology. Epilepsia 2013, 54, 199–203. [Google Scholar] [CrossRef]
  39. Bell, G.S.; Mula, M.; Sander, J.W. Suicidality in People Taking Antiepileptic Drugs What Is the Evidence? CNS Drugs 2009, 23, 281–292. [Google Scholar] [CrossRef]
  40. Mula, M. Suicidality and Antiepileptic Drugs in People with Epilepsy: An Update. Expert Rev. Neurother. 2022, 22, 405–410. [Google Scholar] [CrossRef] [PubMed]
  41. Pop, G.; Farcaș, A.; Butucă, A.; Morgovan, C.; Arseniu, A.M.; Pumnea, M.; Teodoru, M.; Gligor, F.G. Post-Marketing Surveillance of Statins—A Descriptive Analysis of Psychiatric Adverse Reactions in EudraVigilance. Pharmaceuticals 2022, 15, 1536. [Google Scholar] [CrossRef] [PubMed]
  42. Fong, P.; Tong Chan, S.; Nap Lei, P.; Ian Cheong, H.; Man Cheong, I.; Lam Hoe, W. Association of Suicidal Ideation and Depression with the Use of Proton Pump Inhibitors in Adults: A Cross-Sectional Study. Sci. Rep. 2022, 12, 19539. [Google Scholar] [CrossRef] [PubMed]
  43. Mamdani, M.; Gomes, T.; Greaves, S.; Manji, S.; Juurlink, D.N.; Tadrous, M.; Kennedy, S.H.; Antoniou, T. Association Between Angiotensin-Converting Enzyme Inhibitors, Angiotensin Receptor Blockers, and Suicide. JAMA Netw. Open 2019, 2, e1913304. [Google Scholar] [CrossRef] [PubMed]
  44. Herdeiro, M.T.; Figueiras, A.; Polónia, J.; Gestal-Otero, J.J. Physicians’ Attitudes and Adverse Drug Reaction Reporting A Case-Control Study in Portugal. Drug Saf. 2005, 28, 825–833. [Google Scholar] [CrossRef]
  45. Lopez-Gonzalez, E.; Herdeiro, M.T.; Figueiras, A. Determinants of Under-Reporting of Adverse Drug Reactions A Systematic Review. Drug Saf. 2009, 32, 19–31. [Google Scholar] [CrossRef]
  46. García-Abeijon, P.; Costa, C.; Taracido, M.; Herdeiro, M.T.; Torre, C.; Figueiras, A. Factors Associated with Underreporting of Adverse Drug Reactions by Health Care Professionals: A Systematic Review Update. Drug Saf. 2023, 46, 625–636. [Google Scholar] [CrossRef]
  47. Goldman, S.A. Limitations and Strengths of Spontaneous Reports Data. Clin. Ther. 1998, 20, C40–C44. [Google Scholar] [CrossRef]
  48. Ferrajolo, C.; Capuano, A.; Trifirò, G.; Moretti, U.; Rossi, F.; Santuccio, C. Pediatric Drug Safety Surveillance in Italian Pharmacovigilance Network: An Overview of Adverse Drug Reactions in the Years 2001–2012. Expert Opin. Drug Saf. 2014, 13, 939581. [Google Scholar] [CrossRef]
  49. Ferrajolo, C.; Arcoraci, V.; Sullo, M.G.; Rafaniello, C.; Sportiello, L.; Ferrara, R.; Cannata, A.; Pagliaro, C.; Tari, M.G.; Patrizio Caputi, A.; et al. Pattern of Statin Use in Southern Italian Primary Care: Can Prescription Databases Be Used for Monitoring Long-Term Adherence to the Treatment? PLoS ONE 2014, 9, e102146. [Google Scholar] [CrossRef] [PubMed]
  50. European Medicines Agency. Eperzan. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/eperzan (accessed on 2 August 2023).
  51. Zhang, F.; Chen, Z.; Wu, D.; Zhou, Z.; Du, Z.; Hu, F. Recombinant Human GLP-1 Beinaglutide Regulates Lipid Metabolism of Adipose Tissues in Diet-Induced Obese Mice. iScience 2021, 24, 103382. [Google Scholar] [CrossRef] [PubMed]
  52. Zhang, Y.L.; Zhou, C.; Li, X.F.; Yang, M.N.; Tao, L.; Zheng, X.Y.; Jia, Y.S. Beinaglutide Showed Significant Weight-Loss Benefit and Effective Glycaemic Control for the Treatment of Type 2 Diabetes in a Real-World Setting: A 3-Month, Multicentre, Observational, Retrospective, Open-Label Study. Obes. Sci. Pract. 2019, 5, 366–375. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Reporting probabilities of suicidal events among GLP-1 receptor agonist. Data are expressed as reporting odds ratios (RORs) and their 95% confidence intervals (95%CI).
Figure 1. Reporting probabilities of suicidal events among GLP-1 receptor agonist. Data are expressed as reporting odds ratios (RORs) and their 95% confidence intervals (95%CI).
Pharmaceuticals 17 00147 g001
Table 1. Demographic characteristics (age, sex, type of reporter, country source, and number of concomitant or suspected drugs) of Individual Case Safety Reports (ICSRs) reporting suicidal events associated with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, or semaglutide as suspected drugs.
Table 1. Demographic characteristics (age, sex, type of reporter, country source, and number of concomitant or suspected drugs) of Individual Case Safety Reports (ICSRs) reporting suicidal events associated with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, or semaglutide as suspected drugs.
Dulaglutide
(n = 37)
Exenatide
(n = 16)
Liraglutide
(n = 88)
Liraglutide/Insulin Degludec
(n = 5)
Semaglutide
(n = 84)
Overall
(n = 230)
Age group
12–17 years0 (0%)1 (6.3%)5 (5.7%)0 (0%)0 (0%)6 (2.6%)
18–64 years19 (51.4%)5 (31.3%)54 (61.4%)4 (80.0%)52 (61.9%)134 (58.3%)
65–85 years10 (27.0%)2 (12.5%)9 (10.2%)1 (20.0%)4 (4.8%)26 (11.3%)
Not specified8 (21.6%)8 (50.0%)20 (22.7%)0 (0%)28 (33.3%)64 (27.8%)
Sex
Female18 (48.6%)7 (43.8%)60 (68.2%)0 (0%)48 (57.1%)133 (57.8%)
Male17 (45.9%)9 (56.3%)28 (31.8%)5 (100%)29 (34.5%)88 (38.3%)
Not specified2 (5.4%)0 (0%)0 (0%)0 (0%)7 (8.3%)9 (3.9%)
Reporter
Healthcare professional26 (70.3%)5 (31.3%)64 (72.7%)5 (100%)51 (60.7%)151 (65.7%)
Non-healthcare professional11 (29.7%)11 (68.8%)24 (27.3%)0 (0%)33 (39.3%)79 (34.3%)
Country
European Economic Area6 (16.2%)0 (0%)14 (15.9%)3 (60.0%)16 (19.0%)39 (17.0%)
Non-European Economic Area31 (83.8%)16 (100%)74 (84.1%)2 (40.0%)68 (81.0%)191 (83.0%)
Concomitant drugs
022 (59.5%)2 (12.5%)62 (70.5%)2 (40.0%)64 (76.2%)152 (66.1%)
17 (18.9%)0 (0%)5 (5.7%)1 (20.0%)5 (6.0%)18 (7.8%)
23 (8.1%)0 (0%)10 (11.4%)0 (0%)5 (6.0%)18 (7.8%)
33 (8.1%)3 (18.8%)5 (5.7%)0 (0%)1 (1.2%)12 (5.2%)
40 (0%)6 (37.5%)0 (0%)0 (0%)2 (2.4%)8 (3.5%)
52 (5.4%)5 (31.3%)6 (6.8%)2 (40.0%)7 (8.3%)22 (9.6%)
Suspected drugs
121 (56.8%)7 (43.8%)62 (70.5%)1 (20.0%)75 (89.3%)166 (72.2%)
211 (29.7%)5 (31.3%)18 (20.5%)4 (80.0%)7 (8.3%)45 (19.6%)
33 (8.1%)0 (0%)2 (2.3%)0 (0%)2 (2.4%)7 (3.0%)
42 (5.4%)0 (0%)0 (0%)0 (0%)0 (0%)2 (0.9%)
50 (0%)4 (25.0%)6 (6.8%)0 (0%)0 (0%)10 (4.3%)
GLP1 RA 1 therapeutic indication
Diabetes mellitus24 (64.9%)7 (43.8%)9 (10.2%)3 (60.0%)20 (23.8%)63 (27.4%)
Unknown13 (35.1%)5 (31.3%)47 (53.4%)1 (20.0%)46 (54.8%)112 (48.7%)
Blood glucose control0 (0%)3 (18.8%)1 (1.1%)0 (0%)0 (0%)4 (1.7%)
Weight control0 (0%)1 (6.3%)19 (21.6%)0 (0%)12 (14.3%)32 (13.9%)
Obesity0 (0%)0 (0%)10 (11.4%)0 (0%)2 (2.4%)12 (5.2%)
Polycystic ovaries, weight control0 (0%)0 (0%)1 (1.1%)0 (0%)0 (0%)1 (0.4%)
Suicide attempt0 (0%)0 (0%)1 (1.1%)1 (20.0%)0 (0%)2 (0.9%)
Diabetes mellitus, overweight/Obesity0 (0%)0 (0%)0 (0%)0 (0%)3 (3.6%)3 (1.3%)
Polycystic ovaries0 (0%)0 (0%)0 (0%)0 (0%)1 (1.2%)1 (0.4%)
1 Glucagon-like peptide-1 receptors agonists (GLP1 RAs).
Table 2. Suicidal events distributed for dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, and semaglutide and sex.
Table 2. Suicidal events distributed for dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, and semaglutide and sex.
Dulaglutide
(n = 38)
Exenatide
(n = 17)
Liraglutide
(n = 90)
Liraglutide/Insulin Degludec
(n = 5)
Semaglutide
(n = 86)
Overall
(n = 236)
Female
(n = 137)
Male
(n = 90)
Not Specified
(n = 9)
Events
Completed suicide2 (5.3%)1 (5.9%)5 (5.6%)0 (0%)3 (3.5%)11 (4.7%)2 (1.5%)9 (10.0%)0 (0%)
Depression suicidal2 (5.3%)1 (5.9%)5 (5.6%)0 (0%)9 (10.5%)17 (7.2%)11 (8.0%)6 (6.7%)0 (0%)
Suicidal behaviour2 (5.3%)2 (11.8%)1 (1.1%)0 (0%)0 (0%)5 (2.1%)2 (1.5%)3 (3.3%)0 (0%)
Suicidal ideation17 (44.7%)10 (58.8%)60 (66.7%)0 (0%)67 (77.9%)154 (65.3%)99 (72.3%)47 (52.2%)8 (88.9%)
Suicide attempt15 (39.5%)3 (17.6%)16 (17.8%)5 (100%)7 (8.1%)46 (19.5%)22 (16.1%)23 (25.6%)1 (11.1%)
Suspected suicide0 (0%)0 (0%)3 (3.3%)0 (0%)0 (0%)3 (1.3%)1 (0.7%)2 (2.2%)0 (0%)
Table 3. Seriousness and outcome criteria of suicidal events reported with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, and semaglutide.
Table 3. Seriousness and outcome criteria of suicidal events reported with dulaglutide, exenatide, liraglutide, liraglutide/insulin degludec, and semaglutide.
Dulaglutide
(n = 38)
Exenatide
(n = 17)
Liraglutide
(n = 90)
Liraglutide/Insulin Degludec
(n = 5)
Semaglutide
(n = 86)
Overall
(n = 236)
Seriousness Criteria
Caused/prolonged hospitalization10 (26.3%)5 (29.4%)10 (11.1%)4 (80.0%)8 (9.3%)37 (15.7%)
Life-threatening3 (7.9%)4 (23.5%)6 (6.7%)1 (20.0%)6 (7.0%)20 (8.5%)
Other medically important condition23 (60.5%)7 (41.2%)63 (70.0%)0 (0%)68 (79.1%)161 (68.2%)
Results in death2 (5.3%)1 (5.9%)8 (8.9%)0 (0%)3 (3.5%)14 (5.9%)
Not reported0 (0%)0 (0%)1 (1.1%)0 (0%)0 (0%)1 (0.4%)
Disabling0 (0%)0 (0%)2 (2.2%)0 (0%)1 (1.2%)3 (1.3%)
Outcome
Fatal2 (5.3%)1 (5.9%)8 (8.9%)0 (0%)3 (3.5%)14 (5.9%)
Not Recovered/not resolved1 (2.6%)1 (5.9%)9 (10.0%)0 (0%)13 (15.1%)24 (10.2%)
Recovered/resolved11 (28.9%)2 (11.8%)26 (28.9%)2 (40.0%)33 (38.4%)74 (31.4%)
Recovering/resolving3 (7.9%)0 (0%)8 (8.9%)0 (0%)6 (7.0%)17 (7.2%)
Unknown21 (55.3%)13 (76.5%)39 (43.3%)3 (60.0%)30 (34.9%)106 (44.9%)
Recovered/resolved with sequelae0 (0%)0 (0%)0 (0%)0 (0%)1 (1.2%)1 (0.4%)
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Ruggiero, R.; Mascolo, A.; Spezzaferri, A.; Carpentieri, C.; Torella, D.; Sportiello, L.; Rossi, F.; Paolisso, G.; Capuano, A. Glucagon-like Peptide-1 Receptor Agonists and Suicidal Ideation: Analysis of Real-Word Data Collected in the European Pharmacovigilance Database. Pharmaceuticals 2024, 17, 147. https://doi.org/10.3390/ph17020147

AMA Style

Ruggiero R, Mascolo A, Spezzaferri A, Carpentieri C, Torella D, Sportiello L, Rossi F, Paolisso G, Capuano A. Glucagon-like Peptide-1 Receptor Agonists and Suicidal Ideation: Analysis of Real-Word Data Collected in the European Pharmacovigilance Database. Pharmaceuticals. 2024; 17(2):147. https://doi.org/10.3390/ph17020147

Chicago/Turabian Style

Ruggiero, Rosanna, Annamaria Mascolo, Angela Spezzaferri, Claudia Carpentieri, Daniele Torella, Liberata Sportiello, Francesco Rossi, Giuseppe Paolisso, and Annalisa Capuano. 2024. "Glucagon-like Peptide-1 Receptor Agonists and Suicidal Ideation: Analysis of Real-Word Data Collected in the European Pharmacovigilance Database" Pharmaceuticals 17, no. 2: 147. https://doi.org/10.3390/ph17020147

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