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Published in: Journal of Cardiothoracic Surgery 1/2021

Open Access 01-12-2021 | Heart Surgery | Research article

Risk factors of postoperative delirium after cardiac surgery: a meta-analysis

Authors: Haiyan Chen, Liang Mo, Hongjuan Hu, Yulan Ou, Juan Luo

Published in: Journal of Cardiothoracic Surgery | Issue 1/2021

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Abstract

Background

Postoperative delirium is a frequent event after cardiac surgery. This meta-analysis aimed to identify relevant risk factors.

Method

In this meta-analysis, all original researches regarding patients undergoing mixed types of cardiac surgery (excluding transcatheter procedures) and postoperative delirium were evaluated for inclusion. On July 28th 2020, we searched PubMed, Embase, Web of Science and Scopus. Data about name of first author, year of publication, inclusion and exclusion criteria, research design, setting, method of delirium assessment, incidence of delirium, odds ratio (OR) and corresponding 95% confidence interval (CI) of risk factors, and other information relevant was collected. OR and 95% CI were used as metrics for summarized results. Random effects model was applied.

Results

Fourteen reports were included with a total sample size of 13,286. The incidence of delirium ranged from 4.1 to 54.9%. Eight risk factors were identified including aging, diabetes, preoperative depression, mild cognitive impairment, carotid artery stenosis, NYHA functional class III or IV, time of mechanical ventilation and length of intensive care unit stay.

Conclusion

In this study several risk factors associated with postoperative delirium after cardiac surgery were identified. Utilizing the information may allow us to identifying patients at high risk of developing postoperative delirium prior to delirium onset.
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Metadata
Title
Risk factors of postoperative delirium after cardiac surgery: a meta-analysis
Authors
Haiyan Chen
Liang Mo
Hongjuan Hu
Yulan Ou
Juan Luo
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Journal of Cardiothoracic Surgery / Issue 1/2021
Electronic ISSN: 1749-8090
DOI
https://doi.org/10.1186/s13019-021-01496-w

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