已发表论文

慢性阻塞性肺病(COPD)病史对经皮冠状动脉介入治疗后冠状动脉支架内再狭窄的预测价值

 

Authors Hou L , Su K, Zhao J, Li Y

Received 15 July 2023

Accepted for publication 29 August 2023

Published 31 August 2023 Volume 2023:16 Pages 3977—3984

DOI https://doi.org/10.2147/IJGM.S427425

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Yuriy Sirenko

Objective: Chronic obstructive pulmonary disease (COPD) is a prevalent chronic respiratory disease that poses a significant health risk to individuals. Patients with COPD are predisposed to a higher incidence of coronary artery disease (CAD) than the general population. This study aims to investigate the correlation between COPD and the incidence of in-stent restenosis (ISR) after percutaneous coronary intervention (PCI).
Methods: This study retrospectively analyzed the clinical data and laboratory test results of patients who underwent PCI at our hospital between January 2018 and December 2021 to investigate the relationship between COPD and drug-Eluting Stents (DES) postoperative ISR. We employed the best subset method to select the most suitable combination of predictive factors, utilizing the data, and verified the precision of the model by means of internal validation. We ultimately assessed the performance of the prediction model using an ROC curve.
Results: The research indicates that COPD is an independent risk factor for ISR after PCI (OR=2.437, 95% CI [1.336, 4.495], P=0.004). The analysis revealed an area under the receiver operating characteristic (ROC) curve of 0.783 for the training group and 0.705 for the testing group, indicating a model fitting for both groups (both > 0.5).
Conclusion: COPD history is a dependable predictor of stent restenosis post percutaneous coronary intervention.
Keywords: percutaneous coronary intervention, PCI, chronic obstructive pulmonary disease, COPD, in-stent restenosis, ISR, drug-eluting stents, DES, optimal subset regression