Ontology highlight
ABSTRACT: Background
Personality 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.Methods
Electronic 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.Results
Among 12,274 patients, 2379 deaths occurred in the course of 61,761 patient-years at risk, with 19,
SUBMITTER: Barroilhet SA
PROVIDER: S-EPMC9945433 | biostudies-literature | 2020 May - Jun
REPOSITORIES: biostudies-literature