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These considerations stress the need to identify high\u2010risk individuals for high lethality SA in order to target suicide preventive interventions. The present study aims at evaluating the role of sociodemographic and clinical variables and examining personality pathological features in predicting high lethality SA. The sample was composed by 94 patients who were consecutively admitted to the Mood Disorders Unit of the San Raffaele Turro Hospital in Milan. The results of binary logistic regression analyses showed that previous SA and current suicide ideation play a role in predicting serious SA. Considering the DSM\u20105 personality dysfunctional domains assessed by the Personality Inventory for DSM\u20105, our logistic regression analyses suggested that high lethality SA was associated with Detachment PID\u20105 domain. Finally, binary hierarchical regression analysis showed that Detachment domain remained a significant predictor of serious SA over and above the effect of previous SA and suicide ideation. As a whole, our results highlight the importance of a multidimensional approach to develop adequate assessment, effective treatments and prevention of high lethality SA risk.<\/jats:p>","DOI":"10.1002\/pmh.1546","type":"journal-article","created":{"date-parts":[[2022,8,19]],"date-time":"2022-08-19T04:23:43Z","timestamp":1660883023000},"page":"99-106","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The role of clinical and Personological features in predicting high lethality suicide attempts: A study among mood disorder patients"],"prefix":"10.1002","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0316-2614","authenticated-orcid":false,"given":"Serena","family":"Borroni","sequence":"first","affiliation":[{"name":"Faculty of Psychology Vita\u2010Salute San Raffaele University  Milan 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