Prospective external validation of the automated PIPRA multivariable prediction model for postoperative delirium on real-world data from a consecutive cohort of non-cardiac surgery inpatients
The PIPRA algorithm is a reliable tool for identifying surgical patients at risk of POD, supporting early intervention strategies to improve patient outcomes. Its integration into clinical workflows may enhance POD prevention efforts and optimise resource allocation in perioperative care.
Authors
- Kelly Reeve (ORCID: https://orcid.org/0000-0001-9325-6467)
- Felix Buddeberg
- Michela Venturini (ORCID: https://orcid.org/0000-0002-9947-0218)
- Benjamin T. Dodsworth (ORCID: https://orcid.org/0000-0001-7908-7855)
- Reto A. Stocker (ORCID: https://orcid.org/0000-0001-9869-7894)
- Philipp Meier (ORCID: https://orcid.org/0000-0002-9010-7869)
- Matías N. Möller (ORCID: https://orcid.org/0000-0002-3486-8217)
- Nayeli Schmutz Gelsomino
- Martin Zozman (ORCID: https://orcid.org/0000-0002-6096-0973)
- Simone Pascale Wildhaber
- Mary-Anne Kedda
Institutions
- University of Basel (CH)
- Line Corporation (Japan) (JP)
- Klinik Hirslanden (CH)
- Ernst Basler + Partner (Switzerland) (CH)
- ZHAW Zurich University of Applied Sciences (CH)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1136/bmjhci-2024-101291
- Citations
- 1
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.55
Funders
- European Commission
- EIT Health