Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database

BMC Medicine, Год журнала: 2024, Номер 22(1)

Опубликована: Фев. 14, 2024

Abstract Background Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) crucial for public safety. This study investigated the association GLP-1RAs SSIBs by exploring FDA Adverse Event Reporting System (FAERS) database. Methods A disproportionality analysis was conducted using post-marketing data from FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with were identified analyzed through information component. The parametric distribution goodness-of-fit test employed analyze time-to-onset, Ω shrinkage used evaluate effect of co-medication on occurrence SSIBs. Results In total, 204 GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, albiglutide, in Time-of-onset revealed no consistent mechanism latency patients receiving GLP-1RAs. did not indicate an Co-medication 81 antidepressants, antipsychotics, benzodiazepines, which may be proxies mental health comorbidities. Conclusions We found signal disproportionate reporting GLP-1RA use Clinicians need maintain heightened vigilance premedicated neuropsychotropic drugs. contributes greater acceptance type 2 diabetes mellitus obesity. Graphical

Язык: Английский

---

Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study

Journal of Medical Internet Research, Год журнала: 2024, Номер 26, С. e55913 - e55913

Опубликована: Май 17, 2024

Background Suicide is the second-leading cause of death among adolescents and associated with clusters suicides. Despite numerous studies on this preventable death, focus has primarily been single nations traditional statistical methods. Objective This study aims to develop a predictive model for adolescent suicidal thinking using multinational data sets machine learning (ML). Methods We used from Korea Youth Risk Behavior Web-based Survey 566,875 aged between 13 18 years conducted external validation 103,874 Norway’s University National General 19,574 adolescents. Several tree-based ML models were developed, feature importance Shapley additive explanations values analyzed identify risk factors thinking. Results When trained South 95% CI, XGBoost reported an area under receiver operating characteristic (AUROC) curve 90.06% (95% CI 89.97-90.16), displaying superior performance compared other models. For United States Norway, achieved AUROCs 83.09% 81.27%, respectively. Across all sets, consistently outperformed highest AUROC score, was selected as optimal model. In terms predictors thinking, feelings sadness despair most influential, accounting 57.4% impact, followed by stress status at 19.8%. age (5.7%), household income (4%), academic achievement (3.4%), sex (2.1%), others, which contributed less than 2% each. Conclusions integrating diverse 3 countries address suicide. The findings highlight important role emotional health indicators in predicting Specifically, identified significant predictors, stressful conditions age. These emphasize critical need early diagnosis prevention mental issues during adolescence.

Язык: Английский

---

Epigenetics and suicidal behavior in adolescents: a critical review

Epigenomics, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Янв. 17, 2025

Suicide continues to be a significant public health issue globally, claiming over 700,000 lives annually. It is, therefore, important assess the suicide risk properly and provide intervention in timely fashion. While heritability of suicidal behavior is around 50%, it does not explain factors involved causality. Recent evidence suggests that gene x environment interaction plays vital role behavior. In this paper, we critically evaluate association between adolescent epigenetic modifications, including DNA methylation, histone modification, non-coding RNAs, as well epigenetic-based treatment options. was noted prevalence adolescents varied by age sex presence psychiatric disorders. Childhood adversity closely associated with Studies show alterations modifications may increase independent mental illnesses. Because are reversible, environmental enrichment or use pharmacological agents can target specific modulation able reduce population.

Язык: Английский

---

Health risk behaviors, depressive symptoms and suicidal ideation among college students: A latent class analysis in middle China

Journal of Affective Disorders, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

---

Youth suicide crisis: identifying at-risk individuals and prevention strategies

Child and Adolescent Psychiatry and Mental Health, Год журнала: 2024, Номер 18(1)

Опубликована: Май 23, 2024

and treating mental health disorders in children adolescents. Risk factors warning signsAccess to firearms increases the likelihood of death by suicide for adolescents more than fourfold due its increased lethality, with 90% child adolescent suicides gun involving from victim's own home or that a relative [4].When controlling differences rate youth attempts across states, it was found household ownership positively associated overall rate.For 10% increase ownership, 26.9% [5].Across age groups, past attempt is strongest predictor subsequent attempts, up 12-fold children, 4.3-fold 5.4-fold young adults [6].Although some studies suggest suicidal ideation higher risk far prevalent attempted suicides, considerable percentage commit have no prior [7,8].In fact, metanalysis 3% high-risk patients discharged psychiatric hospital could be expected within year, 60% do would likely been categorized as low risk.The study also there single factor combination strongly year after discharge [9].Although United States Preventive Services Task Force (USP-STF) recommends screening 12 older depression, ages 8 anxiety, they state insufficient data recommend against all youth, which brings into

Язык: Английский

---

Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies

BMC Medical Informatics and Decision Making, Год журнала: 2024, Номер 24(1)

Опубликована: Май 27, 2024

Suicide is a complex and multifactorial public health problem. Understanding addressing the various factors associated with suicide crucial for prevention intervention efforts. Machine learning (ML) could enhance prediction of attempts.

Язык: Английский

---

Suicide Risk Screening Tools for Pediatric Patients: A Systematic Review of Test Accuracy

PEDIATRICS, Год журнала: 2024, Номер 153(3)

Опубликована: Фев. 15, 2024

CONTEXT Health care settings have increasingly adopted universal suicide risk screening tools into nonpsychiatric pediatric care; however, a systematic review examining the accuracy of these does not yet exist. OBJECTIVE Identify and research on test for patients in medical settings. DATA SOURCES PubMed PsycINFO were searched to identify peer-reviewed articles published before March 23, 2023. STUDY SELECTION Articles that quantified tool (eg, sensitivity, specificity) setting primary care, specialty inpatient or surgical units, emergency department) included. EXTRACTION A total 13 studies included this review. Screening psychometric properties study bias evaluated. RESULTS Sensitivity among individual ranged from 50% 100%, specificity 58.8% 96%. Methodological quality was relatively varied, applicability concerns low. When stratifying results by tool, Ask Suicide-Screening Questions Computerized Adaptive Screen Suicidal Youth had most robust evidence base. LIMITATIONS Because considerable heterogeneity, meta-analytic approach deemed inappropriate. This prevented us statistically testing differences between identified tools. CONCLUSIONS The exhibit satisfactory appear promising integration clinical practice. Although initial findings are promising, additional targeted at diverse populations is needed ensure equity efforts.

Язык: Английский

---

A critical Response to “How firearm legislation impacts firearm mortality”, A focused look at Canadian and Australian evidence

Health Policy OPEN, Год журнала: 2025, Номер 8, С. 100137 - 100137

Опубликована: Март 10, 2025

A recent review article in Health Policy Open, entitled "How firearm legislation impacts mortality internationally: scoping review" claims that Australian and Canadian firearms is associated with reductions homicide suicide by firearms. Unfortunately, the overexaggerates effectiveness of Australia Canada, leaves out some important studies, does not rigorously examine these articles. Eight studies are referenced association between gun control legislation, primarily National Firearms Act (NFA), homicide. Seven find no Only one study finds a reduction female but this contradicted using methods controlling for confounding factors. Four examining rates NFA benefit, including single controls confounders. Two an decline there non at same time makes it impossible to know if or another variable. The results on points beneficial when more methodologically sound reviewed. demonstrate substitution other overall rates. Overall, appear associations legislation.

Язык: Английский

---

Bibliometric analysis of suicide risk assessment in children and adolescents: Trends and future directions

Psychiatry Research, Год журнала: 2025, Номер 348, С. 116468 - 116468

Опубликована: Март 31, 2025

Язык: Английский

---

Characterizing Measurement-Based Care in the Texas Youth Depression and Suicide Research Network (TX-YDSRN)

Child Psychiatry & Human Development, Год журнала: 2024, Номер unknown

Опубликована: Фев. 10, 2024

Abstract Integration of measurement-based care (MBC) into clinical practice has shown promise in improving treatment outcomes for depression. Yet, without a gold standard measure MBC, assessing fidelity to the MBC model across various settings is difficult. A central goal Texas Youth Depression and Suicide Research Network (TX-YDSRN) was characterize state through development standardized tool assess use strategies when depression, anxiety, side effects, adherence. chart review visits indicated depression measures (71.2%) anxiety (64%) were being utilized sites. The medication adherence effects limited less than six percent both, with majority utilizing interviews effects; yet changed nearly half. Rates utilization participants multiple forms similar those who only provided one form.

Язык: Английский

---