Mariah Hawes1, Zimri Yaseen1, Jessica Briggs1, Igor Galynker2. 1. Mount Sinai Beth Israel, Department of Psychiatry, 317 E 17th St, New York, NY 10003, USA. 2. Mount Sinai Beth Israel, Department of Psychiatry, 317 E 17th St, New York, NY 10003, USA. Electronic address: Igalynke@chpnet.org.
Abstract
BACKGROUND: To date, no diagnostic tool has demonstrated clinical value for the assessment of short-term suicide risk among high-risk individuals. To this end we have developed the Modular Assessment of Risk for Imminent Suicide (MARIS), a modular patient and clinician informed risk evaluation instrument. Here we assess its predictive validity for suicidal behavior (SB) in psychiatric patients following discharge from an inpatient unit. METHODS: The MARIS and a psychological test battery were administered to 136 adult psychiatric patients hospitalized for high risk of suicide. Eighty-six participants had complete data at discharge and 59 (69.8%) were reached for follow-up. Logistic regressions were used to assess the predictive validity of the MARIS for SB over the 4-8weeks following hospital discharge and its incremental predictive validity over standard risk factors. RESULTS: Patients who exhibited SB in the period between initial assessment and follow-up had significantly higher MARIS scores. ROC analysis indicated good sensitivity and specificity of MARIS in identifying risk (OR=19). Further, MARIS total score significantly improved predictive validity by the standard risk factors when added to a model comprising global depression severity, hopelessness, and lifetime number of suicide attempts, and was the only factor that approached independent significance. CONCLUSION: The MARIS appears to be a practical and effective tool for detecting short-term suicide risk following hospital discharge, supporting the validity of modular multi-informant approach to suicide risk evaluation. Replication of these findings and further investigation of the applications of such an approach are warranted. Copyright Â
BACKGROUND: To date, no diagnostic tool has demonstrated clinical value for the assessment of short-term suicide risk among high-risk individuals. To this end we have developed the Modular Assessment of Risk for Imminent Suicide (MARIS), a modular patient and clinician informed risk evaluation instrument. Here we assess its predictive validity for suicidal behavior (SB) in psychiatricpatients following discharge from an inpatient unit. METHODS: The MARIS and a psychological test battery were administered to 136 adult psychiatricpatients hospitalized for high risk of suicide. Eighty-six participants had complete data at discharge and 59 (69.8%) were reached for follow-up. Logistic regressions were used to assess the predictive validity of the MARIS for SB over the 4-8weeks following hospital discharge and its incremental predictive validity over standard risk factors. RESULTS:Patients who exhibited SB in the period between initial assessment and follow-up had significantly higher MARIS scores. ROC analysis indicated good sensitivity and specificity of MARIS in identifying risk (OR=19). Further, MARIS total score significantly improved predictive validity by the standard risk factors when added to a model comprising global depression severity, hopelessness, and lifetime number of suicide attempts, and was the only factor that approached independent significance. CONCLUSION: The MARIS appears to be a practical and effective tool for detecting short-term suicide risk following hospital discharge, supporting the validity of modular multi-informant approach to suicide risk evaluation. Replication of these findings and further investigation of the applications of such an approach are warranted. Copyright Â
Authors: Shira Barzilay; Zimri S Yaseen; Mariah Hawes; Bernard Gorman; Rachel Altman; Adriana Foster; Alan Apter; Paul Rosenfield; Igor Galynker Journal: Front Psychiatry Date: 2018-04-05 Impact factor: 4.157
Authors: Sarah Steeg; Leah Quinlivan; Rebecca Nowland; Robert Carroll; Deborah Casey; Caroline Clements; Jayne Cooper; Linda Davies; Duleeka Knipe; Jennifer Ness; Rory C O'Connor; Keith Hawton; David Gunnell; Nav Kapur Journal: BMC Psychiatry Date: 2018-04-25 Impact factor: 3.630