Multidimensional variability in ecological assessments predicts two clusters of suicidal patients.

ABSTRACT: The variability of suicidal thoughts and other clinical factors during follow-up has emerged as a promising phenotype to identify vulnerable patients through Ecological Momentary Assessment (EMA). In this study, we aimed to (1) identify clusters of clinical variability, and (2) examine the features associated with high variability. We studied a set of 275 adult patients treated for a suicidal crisis in the outpatient and emergency psychiatric departments of five clinical centers across Spain and France. Data included a total of 48,489 answers to 32 EMA questions, as well as baseline and follow-up validated data from clinical assessments. A Gaussian Mixture Model (GMM) was used to cluster the patients according to EMA variability during follow-up along six clinical domains. We then used a r

SUBMITTER: Bonilla-Escribano P 

PROVIDER: S-EPMC9981613 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature