Predicting high-risk factors for postoperative inadequate analgesia and adverse reactions in cesarean delivery surgery: a prospective study
The MLPIAAR model predicted high-risk factors for inadequate analgesia, nausea, and vomiting in obstetric patients. Dexamethasone and flurbiprofen axetil reduced these risks, while hydromorphone PCA increased vomiting risk compared to nalbuphine PCA. Machine learning and SHAP are valuable for optimizing anesthesia and analgesia management in obstetrics.
Authors
- Jiaoli Sun (ORCID: https://orcid.org/0009-0005-3099-0396)
- Zhiqiang Zhou (ORCID: https://orcid.org/0000-0002-0816-6203)
- Bo Jiao (ORCID: https://orcid.org/0000-0002-8173-8060)
- Guanglei Zhang (ORCID: https://orcid.org/0000-0002-2617-9673)
- Ningbo Li (ORCID: https://orcid.org/0000-0001-6122-4209)
- Xianwei Zhang (ORCID: https://orcid.org/0000-0002-9906-2054)
- Kaiwen Zhang (ORCID: https://orcid.org/0009-0003-8126-383X)
- Baowen Liu (ORCID: https://orcid.org/0000-0003-4843-9859)
Institutions
- Online Technologies (United States) (US)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1097/js9.0000000000002354
- Citations
- 4
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 5.55