Development and Validation of Case‐Finding Algorithms to Identify Periprosthetic Joint Infections After Total Hip Arthroplasty in Veterans Health Administration Data
These algorithms yielded a PPV of 87.8% (ICD-9) and 80.0% (ICD-10), for confirmed PJI events and could be considered for use in future pharmacoepidemiologic studies.
Authors
- Jennifer S. Hanberg (ORCID: https://orcid.org/0000-0001-6645-1144)
- Yixuan Amy Pei (ORCID: https://orcid.org/0000-0002-4045-9057)
- Evelyn J. Hsieh
- Randi Silibovsky
- Erica J. Weinstein
- Stephen Crystal (ORCID: https://orcid.org/0000-0003-0366-7583)
- Vincent Lo Re (ORCID: https://orcid.org/0000-0001-7955-0600)
- Joseph T. King (ORCID: https://orcid.org/0000-0003-2823-9649)
- Charles L. Nelson (ORCID: https://orcid.org/0000-0002-9945-0188)
- Jessica C O’Neil
- Craig Newcomb
- Judith A. O’Donnell
Institutions
- Rutgers, The State University of New Jersey (US)
- Brigham and Women's Hospital (US)
- Yale University (US)
- VA Connecticut Healthcare System (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1002/pds.70311
- Primary Topic
- Orthopedic Infections and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs
- National Institute of General Medical Sciences