A Dynamic Prognostic Model for Identifying Vulnerable <scp>COVID</scp>‐19 Patients at High Risk of Rapid Deterioration
The characteristics of patients hospitalized for COVID-19 differed substantially over time. We developed a new dynamic model for rapid progression with satisfactory performance in the validation set.
Authors
- Priyanka Anand (ORCID: https://orcid.org/0000-0002-0945-4100)
- Elvira D’Andrea (ORCID: https://orcid.org/0000-0002-5263-3964)
- Shirley Wang (ORCID: https://orcid.org/0000-0001-7761-7090)
- Kueiyu Joshua Lin (ORCID: https://orcid.org/0000-0003-4564-3715)
- William B. Feldman (ORCID: https://orcid.org/0000-0003-3467-5869)
- Elyse DiCesare
- Jun Liu (ORCID: https://orcid.org/0009-0009-1889-0535)
- G. Brill
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1002/pds.5872
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Brigham and Women's Hospital
- Massachusetts General Hospital