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Characteristics of dimensional psychopathology in suicidal patients with major psychiatric disorders and its association with the length of hospital stay: Algorithm validation study

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dc.contributor.authorLee, DY-
dc.contributor.authorPark, J-
dc.contributor.authorNoh, JS-
dc.contributor.authorRoh, HW-
dc.contributor.authorHa, JH-
dc.contributor.authorLee, EY-
dc.contributor.authorSon, SJ-
dc.contributor.authorPark, RW-
dc.date.accessioned2022-12-16T05:44:39Z-
dc.date.available2022-12-16T05:44:39Z-
dc.date.issued2021-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/23392-
dc.description.abstractBackground: Suicide has emerged as a serious concern for public health; however, only few studies have revealed the differences between major psychiatric disorders and suicide. Recent studies have attempted to quantify research domain criteria (RDoC) into numeric scores to systematically use them in computerized methods. The RDoC scores were used to reveal the characteristics of suicide and its association with major psychiatric disorders. Objective: We intended to investigate the differences in the dimensional psychopathology among hospitalized suicidal patients and the association between the dimensional psychopathology of psychiatric disorders and length of hospital stay. Methods: This retrospective study enrolled hospitalized suicidal patients diagnosed with major psychiatric disorders (depression, schizophrenia, and bipolar disorder) between January 2010 and December 2020 at a tertiary hospital in South Korea. The RDoC scores were calculated using the patients' admission notes. To measure the differences between psychiatric disorder cohorts, analysis of variance and the Cochran Q test were conducted and post hoc analysis for RDoC domains was performed with the independent two-sample t test. A linear regression model was used to analyze the association between the RDoC scores and sociodemographic features and comorbidity index. To estimate the association between the RDoC scores and length of hospital stay, multiple logistic regression models were applied to each psychiatric disorder group. Results: We retrieved 732 admissions for 571 patients (465 with depression, 73 with schizophrenia, and 33 with bipolar disorder). We found significant differences in the dimensional psychopathology according to the psychiatric disorders. The patient group with depression showed the highest negative RDoC domain scores. In the cognitive and social RDoC domains, the groups with schizophrenia and bipolar disorder scored higher than the group with depression. In the arousal RDoC domain, the depression and bipolar disorder groups scored higher than the group with schizophrenia. We identified significant associations between the RDoC scores and length of stay for the depression and bipolar disorder groups. The odds ratios (ORs) of the length of stay were increased because of the higher negative RDoC domain scores in the group with depression (OR 1.058, 95% CI 1.006-1.114) and decreased by higher arousal RDoC domain scores in the group with bipolar disorder (OR 0.537, 95% CI 0.285-0.815). Conclusions: This study showed the association between the dimensional psychopathology of major psychiatric disorders related to suicide and the length of hospital stay and identified differences in the dimensional psychopathology of major psychiatric disorders. This may provide new perspectives for understanding suicidal patients.-
dc.language.isoen-
dc.titleCharacteristics of dimensional psychopathology in suicidal patients with major psychiatric disorders and its association with the length of hospital stay: Algorithm validation study-
dc.typeArticle-
dc.identifier.pmid34477555-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449292/-
dc.subject.keywordComputed phenotype-
dc.subject.keywordElectronic health record-
dc.subject.keywordNatural language processing-
dc.subject.keywordResearch domain criteria-
dc.subject.keywordSuicide-
dc.contributor.affiliatedAuthorNoh, JS-
dc.contributor.affiliatedAuthorRoh, HW-
dc.contributor.affiliatedAuthorHa, JH-
dc.contributor.affiliatedAuthorSon, SJ-
dc.contributor.affiliatedAuthorPark, RW-
dc.type.localJournal Papers-
dc.identifier.doi10.2196/30827-
dc.citation.titleJMIR mental health-
dc.citation.volume8-
dc.citation.number9-
dc.citation.date2021-
dc.citation.startPagee30827-
dc.citation.endPagee30827-
dc.identifier.bibliographicCitationJMIR mental health, 8(9). : e30827-e30827, 2021-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.identifier.eissn2368-7959-
dc.relation.journalidJ023687959-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Psychiatry & Behavioural Sciences
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
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