ArticleGeneral hospital psychiatry
Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality.
Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Factors Associated with Hospital Readmission in a Population with a Diagnosis of Personality Disorder.Actas espanolas de psiquiatria · 2024Observational
- Practical implications of ICD-11 personality disorder classifications.BMC psychiatry · 2024Review
- Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 academic health systems.Molecular psychiatry · 2022Article
- Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method.General hospital psychiatryArticle
- Mapping of Transdiagnostic Neuropsychiatric Phenotypes Across Patients in Two General Hospitals.Journal of the Academy of Consultation-Liaison PsychiatryArticle
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundPersonality has long been studied as a factor associated with health outcomes. Investigations of large, generalizable clinical cohorts are limited by variations in personality diagnostic methodologies and difficulties with long-term follow-up.
methodsElectronic health records of a cohort of patients admitted to a general hospital were characterized using a previously developed natural language processing tool for extracting DSM-5 and ICD-11 personality domains. We used Cox regression and Fine-Gray competing risk survival to analyze the relationships between these personality estimates, sociodemographic features, and risk of readmission and mortality.
resultsAmong 12,274 patients, 2379 deaths occurred in the course of 61,761 patient-years at risk, with 19,985 admissions during follow-up. Detachment was the most common personality feature. Presence of disinhibition was independently associated with a higher mortality risk, while anankastic traits were associated with a lower mortality risk. Increased likelihood of readmission was predicted by detachment, while decreased likelihood of readmission was associated with disinhibition and psychoticism traits.
conclusionsPersonality features can be identified from electronic health records and are associated with readmission and mortality risk. Developing treatment strategies that target patients with higher personality symptom burden in specific dimensions could enable more efficient and focused interventions.
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