Predicting acute postsurgical pain in the postanesthesia care unit: risk tool development and internal validation
Our models developed using point-of-care data on a heterogeneous surgery sample demonstrated acceptable performance and clinical utility for early APSP prediction. External validation is needed before implementation.
Authors
- Christian Fynbo Christiansen (ORCID: https://orcid.org/0000-0002-0727-953X)
- Charlotte Runge (ORCID: https://orcid.org/0000-0001-9480-2490)
- Lone Dragnes Brix (ORCID: https://orcid.org/0000-0002-4446-710X)
- Lone Nikolajsen (ORCID: https://orcid.org/0000-0002-2705-7088)
- Nicholas Papadomanolakis‐Pakis (ORCID: https://orcid.org/0000-0002-9624-6552)
- Simon Haroutounian (ORCID: https://orcid.org/0000-0003-2231-5452)
- Johan Kløvgaard Sørensen (ORCID: https://orcid.org/0009-0006-0087-3719)
Institutions
- Aarhus University (DK)
- Washington University in St. Louis (US)
- Aarhus University Hospital (DK)
- Regionshospitalet Silkeborg (DK)
- Regional Hospital Horsens (DK)
Publication Details
- Journal
- PAIN Reports
- Published
- 2025-09-03
- DOI
- https://doi.org/10.1097/pr9.0000000000001329
- Citations
- 1
- Primary Topic
- Anesthesia and Pain Management
- Type
- article
- Field-Weighted Citation Impact
- 2.01