Development and Validation of a Clinically Actionable Prediction Model for Postoperative Pulmonary Complications in Cardiac Surgery: A Focus on Modifiable Risk Factors
This parsimonious model achieved high predictive accuracy using five modifiable physiological variables. By targeting abnormalities in gas exchange, pulmonary mechanics, muscle strength, and functional reserve, the model offers a practical tool to guide individualized prehabilitation strategies for reducing PPC risk in cardiac surgery patients.
Authors
- Meice Tian (ORCID: https://orcid.org/0000-0001-8513-3547)
- C. Edward Wang
- Weinan Chen (ORCID: https://orcid.org/0009-0004-3228-0534)
- Li Du (ORCID: https://orcid.org/0000-0003-0463-5241)
- Song Ya
- Bomiao Liu
- Yujia Huang
- Xue Feng
- Ruoxi Li
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fu Wai Hospital (CN)
Publication Details
- Journal
- Annals of Rehabilitation Medicine
- Published
- 2026-02-26
- DOI
- https://doi.org/10.5535/arm.250092
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China