A step-by-step regression model for predicting the risk of suicidal behavior in schizophrenia based on the analysis of clinical and demographic variables
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Kas'yanov ED, Zhiyaleva TV, Mazo GE. [A step-by-step regression model for predicting the risk of suicidal behavior in schizophrenia based on the analysis of clinical and demographic variables]. Rossiiskii psikhiatricheskii zhurnal [Russian Journal of Psychiatry]. 2024;(4):67-76. Russian
This cross-sectional study included 120 patients with schizophrenia in order to conduct an exploratory analysis of clinical and demographic factors associated with suicide attempts and suicide risk, as well as to build step-bystep regression models based on the data obtained to predict the risk of suicidal behavior in schizophrenia. 20.8% (n=25) of patients had a history of joint venture. In 5.8% (n=7) of patients, non-suicidal self-injures was noted. Two step-by-step regressions were performed for two dependent variables: the presence of suicide attempts and suicide risk during life according to the Colombian Suicide Severity Rating Scale (C-SSRS). The final suicide attempts prognosis model was based on the following variables: age, non-suicidal self-injures, the level of depression according to the Calgary Calgary Depression Rating Scale (CDRS) and affective symptoms in the structure of psychosis. The final model for predicting suicide risk according to C-SSRS was based on the following variables: age, non-suicidal self-injures, taking anticholinergic drugs, depression level according to CDRS, as well as physical violence according to the Childhood Trauma Questionnaire. Given the retrospective nature of this study, the developed models need to be tested for clinical efficacy in an independent cohort in a prospective study.
Keywords schizophrenia; suicide; non-suicidal self-harm; depression; anticholinergic drugs; abuse
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