Developing a prediction model for cognitive impairment in older adults following critical illness
Machine learning using readily available EHR data can predict new cognitive impairment or dementia at 1-year post-ICU discharge in older adults with acceptable accuracy. Further studies are needed to understand how this tool may impact screening for cognitive impairment in the post-discharge period.
Authors
- Byron C. Jaeger (ORCID: https://orcid.org/0000-0001-7399-2299)
- Lauren Witek (ORCID: https://orcid.org/0000-0001-9604-0629)
- Stephanie Parks Taylor (ORCID: https://orcid.org/0000-0001-6163-9666)
- Jeff D. Williamson (ORCID: https://orcid.org/0000-0002-0185-5823)
- Richa Bundy (ORCID: https://orcid.org/0000-0002-2506-5682)
- Nicholas M. Pajewski (ORCID: https://orcid.org/0000-0002-4447-6196)
- Jessica A. Palakshappa (ORCID: https://orcid.org/0000-0002-6333-365X)
- Ashley E. Eisner
Institutions
- University of Michigan (US)
- Wake Forest University (US)
Publication Details
- Journal
- BMC Geriatrics
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1186/s12877-024-05567-0
- Citations
- 1
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Institutes of Health
- National Institute on Aging
- National Center for Advancing Translational Sciences