Development and validation of a nomogram for predicting critical respiratory events during early anesthesia recovery in elderly patients
This study developed and validated a nomogram to identify elderly patients in the PACU who are at higher risk of CREs. The identified predictive factors included frailty condition, snoring syndrome, PCIA, emergency delirium, and cough intensity at extubation. By identifying patients at higher risk of CREs early on, medical professionals can implement targeted strategies to mitigate the occurrence of complications and provide better postoperative care for elderly patients recovering from general anesthesia.
Authors
- Xin Xu (ORCID: https://orcid.org/0000-0002-5644-5397)
- Yiting Zhu (ORCID: https://orcid.org/0000-0003-1113-7507)
- Haiou Qi (ORCID: https://orcid.org/0009-0006-5317-2166)
- Jingying Huang
- Yuting Wang (ORCID: https://orcid.org/0000-0003-2347-2417)
- Miaomiao Xu
- Jin Yang (ORCID: https://orcid.org/0000-0003-1497-8133)
Institutions
- Sir Run Run Shaw Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1186/s12911-024-02671-4
- Citations
- 2
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Shanghai Maritime University