Evidence map›Paper›PMID 40070681›Full record

ArticleInternational journal of general medicine2025

Predictive Value of Monocyte to High-Density Lipoprotein Cholesterol Ratio for Target Lesion Revascularization in Patients With Drug-Eluting Stent Implantation.

He Meng, Xiujun Zhou, Lushan Li, Yuanying Liu, Yujie Liu, Ying Zhang

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Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

He MengDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, People's Republic of China.
Xiujun ZhouDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, People's Republic of China.
Lushan LiDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, People's Republic of China.
Yuanying LiuDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, People's Republic of China.
Yujie LiuDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, People's Republic of China.
Ying ZhangDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe in-stent restenosis (ISR) following the implantation of drug-eluting stent (DES) can lead to recurrent angina pectoris or even acute myocardial infarction, thereby necessitating target lesion revascularization (TLR). Prior studies have confirmed the correlation between the monocyte to high-density lipoprotein cholesterol ratio (MHR) and ISR after DES implantation. The potential of MHR to predict TLR following DES implantation remains an area of ongoing research and may have significant clinical implications. Methods: A retrospective analysis was conducted on a consecutive series of 474 patients undergoing DES implantation and follow-up coronary angiography between December 1, 2014 and December 1, 2022. The patients were categorized into two distinct groups according to their exposure to TLR. To assess the predictive performance of the MHR with respect to TLR, we utilized multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis. Results: The study revealed a significant elevation in the MHR value within the TLR group compared to the non-TLR group (12.34 vs 8.97; P < 0.001). MHR was identified as an independent predictor of TLR (Odds Ratio [OR] = 1.162; 95% Confidence Interval [CI]: 1.102-1.225). The area under the curve (AUC) was found to be 0.712 (95% CI: 0.664-0.759). When the MHR exceeded 10.98, the specificity for predicting TLR was 75.8%, and the sensitivity was 58.0%. When the MHR was incorporated into the predictive model comprising established risk factors, there was a notable improvement in the AUC, from 0.689 to 0.749 (P < 0.001). Additionally, there was a significant categorical net reclassification improvement (NRI) of 0.183 (P < 0.001) and an integrated discrimination improvement (IDI) of 0.074 (P < 0.001). Conclusion: The MHR functions as a predictor for TLR subsequent to DES implantation. Incorporating MHR into the predictive model improves the model's accuracy, indicating its potential value for clinical application.

Indexed as

biomarkerdrug-eluting stentinflammatory factorslipid metabolismmonocyte to high density lipoprotein cholesterol ratiotarget lesion revascularization

Identifiers

PMID40070681
PMCPMC11895695

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