Risk factors and clinical prediction models for prolonged mechanical ventilation after heart valve surgery

Autor: Heng Yang, Leilei Kong, Wangqi Lan, Chen Yuan, Qin Huang, Yanhua Tang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-11 (2024)
Druh dokumentu: article
ISSN: 1471-2261
DOI: 10.1186/s12872-024-03923-x
Popis: Abstract Objectives Prolonged mechanical ventilation (PMV) is a common complication following cardiac surgery linked to unfavorable patient prognosis and increased mortality. This study aimed to search for the factors associated with the occurrence of PMV after valve surgery and to develop a risk prediction model. Methods The patient cohort was divided into two groups based on the presence or absence of PMV post-surgery. Comprehensive preoperative and intraoperative clinical data were collected. Univariate and multivariate logistic regression analyses were employed to identify risk factors contributing to the incidence of PMV. Based on the logistic regression results, a clinical nomogram was developed. Results The study included 550 patients who underwent valve surgery, among whom 62 (11.27%) developed PMV. Multivariate logistic regression analysis revealed that age (odds ratio [OR] = 1.082, 95% confidence interval [CI] = 1.042–1.125; P
Databáze: Directory of Open Access Journals
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