Predicting Diagnostic Conversion From Major Depressive Disorder to Bipolar Disorder: An <scp>EHR</scp> Based Study From Colombia
Our study confirms previously identified risk factors identified through registry-based studies (female gender and psychotic depression at the index MDD episode) and identifies novel ones (suicidality extracted from clinical notes). These results simultaneously demonstrate the validity of using EHR data for predicting BD conversion and underscore its potential for the identification of novel risk factors, thereby improving early diagnosis.
Authors
- Loes M. Olde Loohuis (ORCID: https://orcid.org/0000-0002-3327-7837)
- Carrie E. Bearden (ORCID: https://orcid.org/0000-0002-8516-923X)
- Alejandro Arias
- Johanna Valencia‐Echeverry (ORCID: https://orcid.org/0000-0002-4849-1449)
- Chiara Sabatti (ORCID: https://orcid.org/0000-0001-5829-9058)
- Victor I. Reus (ORCID: https://orcid.org/0000-0002-8193-5697)
- Ana M. Díaz‐Zuluaga (ORCID: https://orcid.org/0000-0002-6907-6017)
- Carlos López‐Jaramillo (ORCID: https://orcid.org/0000-0002-1875-1369)
- Aditya Pimplaskar (ORCID: https://orcid.org/0000-0002-5660-7210)
- Juan De La Hoz (ORCID: https://orcid.org/0000-0002-5584-7511)
- Oscar M. Ramirez (ORCID: https://orcid.org/0000-0002-1071-6307)
- Nelson B. Freimer
- Laura Mena
- Susan K. Service
- Chuc Luu
Institutions
- University of Caldas (CO)
- University of California, Los Angeles (US)
- University of California, San Francisco (US)
- Universidad de Antioquia (CO)
- Stanford University (US)
Publication Details
- Journal
- Bipolar Disorders
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1111/bdi.13512
- Citations
- 5
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.93
Funders
- National Institute of Mental Health