Dataset Information

Suicidality and self-injury with selective serotonin reuptake inhibitors in youth: Occurrence, predictors and timing.

ABSTRACT:

Objective

Meta-analyses have established a heightened risk of suicidality for youth treated with selective serotonin reuptake inhibitors (SSRIs). The present study investigates the risk and possible predictors of suicidality and non-suicidal self-injury (NSSI) associated with SSRI treatment in a clinical sample of children and adolescents.

Methods

An observational, longitudinal, retrospective study using a within-subject study design including in- and outpatients aged 0-17 years treated with SSRIs. Data were obtained from digital medical records and prescription software.

Results

N = 365 patients were included (64.1% female), mean (SD) age 14.5 (2.04) years, with primary depression, anxiety or obsessive-compulsive disorder. No suicides occurred. When comparing the 6-week period immediately prior to versus following SSRI initiation, the patient proportion with broadly defined suicidality decreased (38.5% vs. 24.2%, p < 0.001) while the proportion with suicide attempts was stable (2.8% vs. 2.8%, p = 1.000). The proportion with NSSI decreased statistically non-significantly (12.4% vs. 8.4%, p = 0.067). Results from individually standardized observation periods were similar; however, the proportion with suicide attempts decreased statistically non-significantly and the proportion with NSSI decreased significantly. Suicidality during SSRI treatment was associated with previous suicidality (OR[CI] = 6.0 [2.4-14.8], p < 0.001), depression as indication for SSRI treatment (OR[CI] = 2.1 [1.2-3.7], p = 0.01), female sex (OR[CI] = 2.1 [1.1-4.1], p = 0.02) and previous NSSI (OR[CI] = 2.0 [1.2-3.5], p = 0.01).

Conclusion

Suicidality was common in youth treated with SSRIs. The patient proportion with overall suicidality decreased, and the proportion with attempted suicide was stable in the weeks following SSRI initiation. Previous suicidality, depression, female sex and previous NSSI are important predictors for suicidality during SSRI treatment in youth.

SUBMITTER: Sorensen JO

PROVIDER: S-EPMC9292826 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:The physiology of mood regulation in the postpartum is poorly understood despite the fact that postpartum depression (PPD) is a common pathology. Serotonergic mechanisms and their dysfunction are widely presumed to be involved, which has led us to investigate whether lactation induces changes in central or peripheral serotonin (5-HT) systems and related affective behaviors. Brain sections from lactating (day 10 postpartum) and age-matched nulliparous (non-pregnant) C57BL/6J mice were processed for 5-HT immunohistochemistry. The total number of 5-HT immunostained cells and optical density were measured. Lactating mice exhibited lower immunoreactive 5-HT and intensity in the dorsal raphe nucleus when compared with nulliparous controls. Serum 5-HT was quantified from lactating and nulliparous mice using radioimmunoassay. Serum 5-HT concentrations were higher in lactating mice than in nulliparous controls. Affective behavior was assessed in lactating and non-lactating females ten days postpartum, as well as in nulliparous controls using the forced swim test (FST) and marble burying task (MBT). Animals were treated for the preceding five days with a selective serotonin reuptake inhibitor (SSRI, citalopram, 5mg/kg/day) or vehicle. Lactating mice exhibited a lower baseline immobility time during the FST and buried fewer marbles during the MBT as compared to nulliparous controls. Citalopram treatment changed these behaviors in lactating mice with further reductions in immobility during the FST and decreased marble burying. In contrast, the same regimen of citalopram treatment had no effect on these behaviors in either non-lactating postpartum or nulliparous females. Our findings demonstrate changes in both central and peripheral 5-HT systems associated with lactation, independent of pregnancy. They also demonstrate a significant interaction of lactation and responsiveness to SSRI treatment, which has important implications in the treatment of PPD. Although recent evidence has cast doubt on the effectiveness of SSRIs, these results support their therapeutic use in the treatment of PPD.

Project description:BackgroundAlthough selective serotonin reuptake inhibitors (SSRIs) are widely prescribed, associations with violence are uncertain.Methods and findingsFrom Swedish national registers we extracted information on 856,493 individuals who were prescribed SSRIs, and subsequent violent crimes during 2006 through 2009. We used stratified Cox regression analyses to compare the rate of violent crime while individuals were prescribed these medications with the rate in the same individuals while not receiving medication. Adjustments were made for other psychotropic medications. Information on all medications was extracted from the Swedish Prescribed Drug Register, with complete national data on all dispensed medications. Information on violent crime convictions was extracted from the Swedish national crime register. Using within-individual models, there was an overall association between SSRIs and violent crime convictions (hazard ratio [HR] = 1.19, 95% CI 1.08-1.32, p < 0.001, absolute risk = 1.0%). With age stratification, there was a significant association between SSRIs and violent crime convictions for individuals aged 15 to 24 y (HR = 1.43, 95% CI 1.19-1.73, p < 0.001, absolute risk = 3.0%). However, there were no significant associations in those aged 25-34 y (HR = 1.20, 95% CI 0.95-1.52, p = 0.125, absolute risk = 1.6%), in those aged 35-44 y (HR = 1.06, 95% CI 0.83-1.35, p = 0.666, absolute risk = 1.2%), or in those aged 45 y or older (HR = 1.07, 95% CI 0.84-1.35, p = 0.594, absolute risk = 0.3%). Associations in those aged 15 to 24 y were also found for violent crime arrests with preliminary investigations (HR = 1.28, 95% CI 1.16-1.41, p < 0.001), non-violent crime convictions (HR = 1.22, 95% CI 1.10-1.34, p < 0.001), non-violent crime arrests (HR = 1.13, 95% CI 1.07-1.20, p < 0.001), non-fatal injuries from accidents (HR = 1.29, 95% CI 1.22-1.36, p < 0.001), and emergency inpatient or outpatient treatment for alcohol intoxication or misuse (HR = 1.98, 95% CI 1.76-2.21, p < 0.001). With age and sex stratification, there was a significant association between SSRIs and violent crime convictions for males aged 15 to 24 y (HR = 1.40, 95% CI 1.13-1.73, p = 0.002) and females aged 15 to 24 y (HR = 1.75, 95% CI 1.08-2.84, p = 0.023). However, there were no significant associations in those aged 25 y or older. One important limitation is that we were unable to fully account for time-varying factors.ConclusionsThe association between SSRIs and violent crime convictions and violent crime arrests varied by age group. The increased risk we found in young people needs validation in other studies.

Project description:Background and Purpose- Selective serotonin reuptake inhibitors (SSRIs) have a well-established association with bleeding complications and conflicting reports on outcome after stroke. We sought to evaluate whether pre-intracerebral hemorrhage (ICH) SSRI use increased ICH risk and post-ICH SSRI use improved ICH outcome. Methods- Through post hoc analysis of the ERICH study (Ethnic/Racial Variations of Intracerebral Hemorrhage), SSRI use was categorized into no use, pre-ICH only, pre- and post-ICH use (termed "continuous"), and post-ICH only (termed "new"). Using multivariable modeling, associations were sought between pre-ICH SSRI use and ICH risk in the case-control set, and associations between post-ICH SSRI use and 3-month outcome were analyzed in the ICH case set. Exploratory analyses sought to assess influence of race/ethnicity in models. Results- The final study cohort consisted of 2287 ICH cases and 2895 controls. Pre-ICH SSRI use was not associated with ICH risk (odds ratio, 0.824 [95% CI, 0.632-1.074]) nor potentiation of ICH risk with anticoagulant or antiplatelet use. New post-ICH SSRI use was associated with unfavorable modified Rankin Scale score at 3 months after ICH (odds ratio, 1.673 [95% CI, 1.162-2.408]; P=0.006) in multivariable analyses. Additional propensity score analysis indicated a similar trend but did not reach statistical significance (P=0.107). When stratified by race/ethnicity, multivariable modeling demonstrated reduced ICH risk with pre-ICH SSRI use in Hispanics (odds ratio, 0.513 [95% CI, 0.301-0.875]; P=0.014), but not non-Hispanic whites or blacks, and no associations between post-ICH SSRI use and 3-month outcome in any racial/ethnic group. Conclusions- In a large multiethnic cohort, pre-ICH SSRI use was not associated with increased ICH risk, but post-ICH SSRI use was associated with unfavorable 3-month neurological outcome after ICH. Registration- URL: https://www.clinicaltrials.gov; Unique identifier: NCT01202864.

Project description:BackgroundAnxiety, obsessive-compulsive, and stress-related disorders frequently co-occur, and patients often present symptoms of several domains. Treatment involves the use of selective serotonin reuptake inhibitors (SSRIs) and serotonin and norepinephrine reuptake inhibitors (SNRIs), but data on comparative efficacy and acceptability are lacking. We aimed to compare the efficacy of SSRIs, SNRIs, and placebo in multiple symptom domains in patients with these diagnoses over the lifespan through a 3-level network meta-analysis.Methods and findingsWe searched for published and unpublished randomized controlled trials that aimed to assess the efficacy of SSRIs or SNRIs in participants (adults and children) with diagnosis of any anxiety, obsessive-compulsive, or stress-related disorder in MEDLINE, PsycINFO, Embase, and Cochrane Library from inception to 23 April 2015, with an update on 11 November 2020. We supplemented electronic database searches with manual searches for published and unpublished randomized controlled trials registered in publicly accessible clinical trial registries and pharmaceutical companies' databases. No restriction was made regarding comorbidities with any other mental disorder, participants' age and sex, blinding of participants and researchers, date of publication, or study language. The primary outcome was the aggregate measure of internalizing symptoms of these disorders. Secondary outcomes included specific symptom domains and treatment discontinuation rate. We estimated standardized mean differences (SMDs) with 3-level network meta-analysis with random slopes by study for medication and assessment instrument. Risk of bias appraisal was performed using the Cochrane Collaboration's risk of bias tool. This study was registered in PROSPERO (CRD42017069090). We analyzed 469 outcome measures from 135 studies (n = 30,245). All medications were more effective than placebo for the aggregate measure of internalizing symptoms (SMD -0.56, 95% CI -0.62 to -0.51, p < 0.001), for all symptom domains, and in patients from all diagnostic categories. We also found significant results when restricting to the most used assessment instrument for each diagnosis; nevertheless, this restriction led to exclusion of 72.71% of outcome measures. Pairwise comparisons revealed only small differences between medications in efficacy and acceptability. Limitations include the moderate heterogeneity found in most outcomes and the moderate risk of bias identified in most of the trials.ConclusionsIn this study, we observed that all SSRIs and SNRIs were effective for multiple symptom domains, and in patients from all included diagnostic categories. We found minimal differences between medications concerning efficacy and acceptability. This three-level network meta-analysis contributes to an ongoing discussion about the true benefit of antidepressants with robust evidence, considering the significantly larger quantity of data and higher statistical power when compared to previous studies. The 3-level approach allowed us to properly assess the efficacy of these medications on internalizing psychopathology, avoiding potential biases related to the exclusion of information due to distinct assessment instruments, and to explore the multilevel structure of transdiagnostic efficacy.