Risk factors and clinical prediction models for prolonged mechanical ventilation after heart valve surgery.
Humans
Risk Factors
Male
Female
Middle Aged
Respiration, Artificial
/ adverse effects
Time Factors
Risk Assessment
Nomograms
Aged
Predictive Value of Tests
Retrospective Studies
Treatment Outcome
Cardiac Surgical Procedures
/ adverse effects
Decision Support Techniques
Adult
Heart Valve Prosthesis Implantation
/ adverse effects
Heart Valves
/ surgery
Heart Valve Diseases
/ surgery
Age Factors
Heart valve surgery
Nomogram
Prolonged mechanical ventilation
Risk factors
Journal
BMC cardiovascular disorders
ISSN: 1471-2261
Titre abrégé: BMC Cardiovasc Disord
Pays: England
ID NLM: 100968539
Informations de publication
Date de publication:
14 May 2024
14 May 2024
Historique:
received:
18
11
2023
accepted:
06
05
2024
medline:
15
5
2024
pubmed:
15
5
2024
entrez:
14
5
2024
Statut:
epublish
Résumé
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. 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. 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 < 0.000), current smokers (OR = 1.953, 95% CI = 1.007-3.787; P = 0.047), left atrial internal diameter index (OR = 1.04, 95% CI = 1.002-1.081; P = 0.041), red blood cell count (OR = 0.49, 95% CI = 0.275-0.876; P = 0.016), and aortic clamping time (OR = 1.031, 95% CI = 1.005-1.057; P < 0.017) independently influenced the occurrence of PMV. A nomogram was constructed based on these factors. In addition, a receiver operating characteristic (ROC) curve was plotted, with an area under the curve (AUC) of 0.782 and an accuracy of 0.884. Age, current smokers, left atrial diameter index, red blood cell count, and aortic clamping time are independent risk factors for PMV in patients undergoing valve surgery. Furthermore, the nomogram based on these factors demonstrates the potential for predicting the risk of PMV in patients following valve surgery.
Identifiants
pubmed: 38745119
doi: 10.1186/s12872-024-03923-x
pii: 10.1186/s12872-024-03923-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
250Subventions
Organisme : Key Research and Development projects in Jiangxi Province
ID : 20223BBG71010
Organisme : Key Research and Development projects in Jiangxi Province
ID : 20223BBG71010
Organisme : Key Research and Development projects in Jiangxi Province
ID : 20223BBG71010
Organisme : Key Research and Development projects in Jiangxi Province
ID : 20223BBG71010
Organisme : Key Research and Development projects in Jiangxi Province
ID : 20223BBG71010
Organisme : Key Research and Development projects in Jiangxi Province
ID : 20223BBG71010
Organisme : National Natural Science Foundation of China
ID : 81960058
Organisme : National Natural Science Foundation of China
ID : 81960058
Organisme : National Natural Science Foundation of China
ID : 81960058
Organisme : National Natural Science Foundation of China
ID : 81960058
Organisme : National Natural Science Foundation of China
ID : 81960058
Organisme : National Natural Science Foundation of China
ID : 81960058
Informations de copyright
© 2024. The Author(s).
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