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Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder.
Bigdeli, Tim B; Barr, Peter B; Rajeevan, Nallakkandi; Graham, David P; Li, Yuli; Meyers, Jacquelyn L; Gorman, Bryan R; Peterson, Roseann E; Sayward, Frederick; Radhakrishnan, Krishnan; Natarajan, Sundar; Nielsen, David A; Wilkinson, Anna V; Malhotra, Anil K; Zhao, Hongyu; Brophy, Mary; Shi, Yunling; O'Leary, Timothy J; Gleason, Theresa; Przygodzki, Ronald; Pyarajan, Saiju; Muralidhar, Sumitra; Gaziano, J Michael; Huang, Grant D; Concato, John; Siever, Larry J; DeLisi, Lynn E; Kimbrel, Nathan A; Beckham, Jean C; Swann, Alan C; Kosten, Thomas R; Fanous, Ayman H; Aslan, Mihaela; Harvey, Philip D.
Afiliação
  • Bigdeli TB; VA New York Harbor Healthcare System, Brooklyn, NY, US. tim.bigdeli@downstate.edu.
  • Barr PB; Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, US. tim.bigdeli@downstate.edu.
  • Rajeevan N; Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US. tim.bigdeli@downstate.edu.
  • Graham DP; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US. tim.bigdeli@downstate.edu.
  • Li Y; VA New York Harbor Healthcare System, Brooklyn, NY, US.
  • Meyers JL; Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Gorman BR; Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Peterson RE; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Sayward F; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
  • Radhakrishnan K; Yale University School of Medicine, New Haven, CT, USA.
  • Natarajan S; Michael E. DeBakey VA Medical Center, Houston, TX, USA.
  • Nielsen DA; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
  • Wilkinson AV; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
  • Malhotra AK; Yale University School of Medicine, New Haven, CT, USA.
  • Zhao H; Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Brophy M; Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Shi Y; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • O'Leary TJ; Massachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA, USA.
  • Gleason T; Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Przygodzki R; Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Pyarajan S; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, US.
  • Muralidhar S; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
  • Gaziano JM; Yale University School of Medicine, New Haven, CT, USA.
  • Huang GD; National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD, USA.
  • Concato J; VA New York Harbor Healthcare System, Brooklyn, NY, US.
  • Siever LJ; Michael E. DeBakey VA Medical Center, Houston, TX, USA.
  • DeLisi LE; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
  • Kimbrel NA; Michael E. DeBakey VA Medical Center, Houston, TX, USA.
  • Beckham JC; Department of Epidemiology, Human Genetics and Environmental Science, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Swann AC; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA.
  • Kosten TR; Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.
  • Fanous AH; Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA.
  • Aslan M; Yale University School of Medicine, New Haven, CT, USA.
  • Harvey PD; Massachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA, USA.
Mol Psychiatry ; 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38491344
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos