Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder.

Journal: Molecular psychiatry

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Affiliated Institutions:  VA New York Harbor Healthcare System, Brooklyn, NY, US. tim.bigdeli@downstate.edu. VA New York Harbor Healthcare System, Brooklyn, NY, US. Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA. Michael E. DeBakey VA Medical Center, Houston, TX, USA. Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, US. Massachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA, USA. National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD, USA. Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA. Office of Research and Development, Veterans Health Administration, Washington, DC, USA. Yale University School of Medicine, New Haven, CT, USA. Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA, USA. Durham VA Health Care System, Durham, NC, USA. Bruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, FL, USA.

Abstract summary 

Persons diagnosed with schizophrenia (SCZ) or bipolar I disorder (BPI) are at high risk for self-injurious behavior, suicidal ideation, and suicidal behaviors (SB). Characterizing associations between diagnosed health problems, prior pharmacological treatments, and polygenic scores (PGS) has potential to inform risk stratification. We examined self-reported SB and ideation using the Columbia Suicide Severity Rating Scale (C-SSRS) among 3,942 SCZ and 5,414 BPI patients receiving care within the Veterans Health Administration (VHA). These cross-sectional data were integrated with electronic health records (EHRs), and compared across lifetime diagnoses, treatment histories, follow-up screenings, and mortality data. PGS were constructed using available genomic data for related traits. Genome-wide association studies were performed to identify and prioritize specific loci. Only 20% of the veterans who reported SB had a corroborating ICD-9/10 EHR code. Among those without prior SB, more than 20% reported new-onset SB at follow-up. SB were associated with a range of additional clinical diagnoses, and with treatment with specific classes of psychotropic medications (e.g., antidepressants, antipsychotics, etc.). PGS for externalizing behaviors, smoking initiation, suicide attempt, and major depressive disorder were associated with SB. The GWAS for SB yielded no significant loci. Among individuals with a diagnosed mental illness, self-reported SB were strongly associated with clinical variables across several EHR domains. Analyses point to sequelae of substance-related and psychiatric comorbidities as strong correlates of prior and subsequent SB. Nonetheless, past SB was frequently not documented in health records, underscoring the value of regular screening with direct, in-person assessments, especially among high-risk individuals.

Authors & Co-authors:  Bigdeli Barr Rajeevan Graham Li Meyers Gorman Peterson Sayward Radhakrishnan Natarajan Nielsen Wilkinson Malhotra Zhao Brophy Shi O'Leary Gleason Przygodzki Pyarajan Muralidhar Gaziano Huang Concato Siever DeLisi Kimbrel Beckham Swann Kosten Fanous Aslan Harvey

Study Outcome 

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Statistics
Citations :  Wisqars W-BISQ. Reporting system. National Center for Injury Prevention and Control, Centers for Disease Control and Prevention (producer) https://www.cdc.gov/injury/wisqars/ Accessed September. 2020;25
Authors :  35
Identifiers
Doi : 10.1038/s41380-024-02472-1
SSN : 1476-5578
Study Population
Male,Female
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Country of Study
Publication Country
England