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Risk factors prediction of 6-month mortality after noncardiac surgery of older patients in China: a multicentre retrospective cohort study.

Authors :
Wu XD
Wang Q
Song YX
Chen XY
Xue T
Ma LB
Luo YG
Li H
Lou JS
Liu YH
Wang DF
Wu QP
Peng YM
Mi WD
Cao JB
Source :
International journal of surgery (London, England) [Int J Surg] 2024 Jan 01; Vol. 110 (1), pp. 219-228. Date of Electronic Publication: 2024 Jan 01.
Publication Year :
2024

Abstract

Background: Identifying the risk factors associated with perioperative mortality is crucial, particularly in older patients. Predicting 6-month mortality risk in older patients based on large datasets can assist patients and surgeons in perioperative clinical decision-making. This study aimed to develop a risk prediction model of mortality within 6 months after noncardiac surgery using the clinical data from 11 894 older patients in China.<br />Materials and Methods: A multicentre, retrospective cohort study was conducted in 20 tertiary hospitals. The authors retrospectively included 11 894 patients (aged ≥65 years) who underwent noncardiac surgery between April 2020 and April 2022. The least absolute shrinkage and selection operator model based on linear regression was used to analyse and select risk factors, and various machine learning methods were used to build predictive models of 6-month mortality.<br />Results: The authors predicted 12 preoperative risk factors associated with 6-month mortality in older patients after noncardiac surgery. Including laboratory-associated risk factors such as mononuclear cell ratio and total blood cholesterol level, etc. Also including medical history associated risk factors such as stroke, history of chronic diseases, etc. By using a random forest model, the authors constructed a predictive model with a satisfactory accuracy (area under the receiver operating characteristic curve=0.97).<br />Conclusion: The authors identified 12 preoperative risk factors associated with 6-month mortality in noncardiac surgery older patients. These preoperative risk factors may provide evidence for a comprehensive preoperative anaesthesia assessment as well as necessary information for clinical decision-making by anaesthesiologists.<br /> (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)

Details

Language :
English
ISSN :
1743-9159
Volume :
110
Issue :
1
Database :
MEDLINE
Journal :
International journal of surgery (London, England)
Publication Type :
Academic Journal
Accession number :
37738004
Full Text :
https://doi.org/10.1097/JS9.0000000000000791