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Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder
OBJECTIVE: 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 mental and physical health problems, prior pharmacological treatments, and agg...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029042/ https://www.ncbi.nlm.nih.gov/pubmed/36945597 http://dx.doi.org/10.1101/2023.03.06.23286866 |
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author | 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. |
author_facet | 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. |
author_sort | Bigdeli, Tim B. |
collection | PubMed |
description | OBJECTIVE: 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 mental and physical health problems, prior pharmacological treatments, and aggregate genetic factors has potential to inform risk stratification and mitigation strategies. METHODS: In this study of 3,942 SCZ and 5,414 BPI patients receiving VA care, self-reported SB and ideation were assessed using the Columbia Suicide Severity Rating Scale (C-SSRS). These cross-sectional data were integrated with electronic health records (EHR), and compared by lifetime diagnoses, treatment histories, follow-up screenings, and mortality data. Polygenic scores (PGS) for traits related to psychiatric disorders, substance use, and cognition were constructed using available genomic data, and exploratory genome-wide association studies were performed to identify and prioritize specific loci. RESULTS: Only 20% of veterans who self-reported SB had a corroborating ICD-9/10 code in their EHR; and among those who denied prior behaviors, more than 20% reported new-onset SB at follow-up. SB were associated with a range of psychiatric and non-psychiatric diagnoses, and with treatment with specific classes of psychotropic medications (e.g., antidepressants, antipsychotics, etc.). PGS for externalizing behaviors, smoking, suicide attempt, and major depressive disorder were also associated with attempt and ideation. CONCLUSIONS: Among individuals with a diagnosed mental illness, a GWAS for SB did not yield any significant loci. Self-reported SB were strongly associated with clinical variables across several EHR domains. Overall, clinical and polygenic analyses point to sequelae of substance-use related behaviors and other psychiatric comorbidities as strong correlates of prior and subsequent SB. Nonetheless, past SB was frequently not documented in clinical settings, underscoring the value of regular screening based on direct, in-person assessments, especially among high-risk individuals. |
format | Online Article Text |
id | pubmed-10029042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-100290422023-03-22 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. medRxiv Article OBJECTIVE: 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 mental and physical health problems, prior pharmacological treatments, and aggregate genetic factors has potential to inform risk stratification and mitigation strategies. METHODS: In this study of 3,942 SCZ and 5,414 BPI patients receiving VA care, self-reported SB and ideation were assessed using the Columbia Suicide Severity Rating Scale (C-SSRS). These cross-sectional data were integrated with electronic health records (EHR), and compared by lifetime diagnoses, treatment histories, follow-up screenings, and mortality data. Polygenic scores (PGS) for traits related to psychiatric disorders, substance use, and cognition were constructed using available genomic data, and exploratory genome-wide association studies were performed to identify and prioritize specific loci. RESULTS: Only 20% of veterans who self-reported SB had a corroborating ICD-9/10 code in their EHR; and among those who denied prior behaviors, more than 20% reported new-onset SB at follow-up. SB were associated with a range of psychiatric and non-psychiatric diagnoses, and with treatment with specific classes of psychotropic medications (e.g., antidepressants, antipsychotics, etc.). PGS for externalizing behaviors, smoking, suicide attempt, and major depressive disorder were also associated with attempt and ideation. CONCLUSIONS: Among individuals with a diagnosed mental illness, a GWAS for SB did not yield any significant loci. Self-reported SB were strongly associated with clinical variables across several EHR domains. Overall, clinical and polygenic analyses point to sequelae of substance-use related behaviors and other psychiatric comorbidities as strong correlates of prior and subsequent SB. Nonetheless, past SB was frequently not documented in clinical settings, underscoring the value of regular screening based on direct, in-person assessments, especially among high-risk individuals. Cold Spring Harbor Laboratory 2023-03-08 /pmc/articles/PMC10029042/ /pubmed/36945597 http://dx.doi.org/10.1101/2023.03.06.23286866 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article 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. Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder |
title | Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder |
title_full | Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder |
title_fullStr | Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder |
title_full_unstemmed | Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder |
title_short | Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder |
title_sort | correlates of suicidal behaviors and genetic risk among united states veterans with schizophrenia or bipolar i disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029042/ https://www.ncbi.nlm.nih.gov/pubmed/36945597 http://dx.doi.org/10.1101/2023.03.06.23286866 |
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