Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study
Our routine EHR-based POD prediction models demonstrated good predictive ability using a limited set of preadmission and surgical variables, though their generalizability was limited. The proposed models could be used as a scalable, automated screening tool to identify patients at high risk of POD at the time of hospital admission.
Authors
- Molly Rosenberg (ORCID: https://orcid.org/0000-0001-6679-6791)
- Malaz Boustani (ORCID: https://orcid.org/0000-0003-0330-677X)
- Emma Holler (ORCID: https://orcid.org/0000-0002-4424-925X)
- Corey A. Kalbaugh (ORCID: https://orcid.org/0000-0002-7455-0369)
- Sanjay Mohanty (ORCID: https://orcid.org/0000-0003-0295-3457)
- Christina Ludema (ORCID: https://orcid.org/0000-0003-0779-810X)
- Zina Ben Miled (ORCID: https://orcid.org/0000-0001-5401-0368)
Institutions
- Lamar University (US)
- Indiana University Bloomington (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- JMIR Perioperative Medicine
- Published
- 2025-01-09
- DOI
- https://doi.org/10.2196/59422
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00