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.

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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

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article

Development and validation of a nomogram for predicting critical respiratory events during early anesthesia recovery in elderly patients

Xin Xu, Yiting Zhu, Haiou Qi, Jingying Huang et al.
2 citations
BMC Medical Informatics and Decision Making
Intensive Care Unit Cognitive Disorders
0.84
article

Development and validation of a nomogram for predicting critical respiratory events during early anesthesia recovery in elderly patients

Xin Xu, Yiting Zhu, Haiou Qi, Jingying Huang, Yuting Wang, Miaomiao Xu, Jin Yang
article en
2 citations

Abstract

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.

BMC Medical Informatics and Decision MakingVol. 24(1)
Sir Run Run Shaw Hospital (CN), Zhejiang University (CN)
Shanghai Maritime University
Good health and well-being
Openalex Percentile: Top 26%
Intensive Care Unit Cognitive Disorders
0.84
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