ArticleScientific reports2024
Monocyte to high-density lipoprotein cholesterol ratio predicts restenosis of drug-eluting stents in patients with unstable angina pectoris.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Development of a Risk Stratification Model for Coronary In-Stent Restenosis Based on Clinical, Laboratory, and Procedural Factors: A Case-Control Study.Journal of clinical medicine · 2026Article
- Factors Associated With Hyperuricemia in Patients With Coronary Heart Disease.Reviews in cardiovascular medicine · 2026Article
- The value of the monocyte to high-density lipoprotein cholesterol ratio in predicting the thrombosis burden and long-term prognosis of acute myocardial infarction patients: a retrospective cohort study.Journal of thoracic disease · 2025Article
- Elevated monocyte-to-high-density lipoprotein ratio is associated with increased risk of cognitive impairment and severe cerebral small vessel disease burden.Frontiers in aging neuroscience · 2025Article
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6 authors.
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Abstract
Several studies have shown that the monocyte count to high-density lipoprotein cholesterol ratio (MHR) serves as a predictive marker for in-stent restenosis (ISR) of bare-metal stents (BMSs). However, the ability of the MHR to predict ISR in patients with drug-eluting stents (DESs) remains uncertain. This study aimed to investigate the predictive value of the MHR for ISR in patients with unstable angina pectoris who have undergone primary DES implantation. A total of 474 consecutive patients with unstable angina pectoris who underwent successful DES-based percutaneous coronary intervention (PCI) from 01-12-2014 to 01-12-2022 were enrolled in the study. Patients were divided into the ISR group and the non-ISR group on the basis of the follow-up results of coronary angiography. The demographic and clinical characteristics of the patients were documented. The MHR was calculated via the following formula: [Formula: see text]. Multivariate logistic regression models were developed to evaluate the predictive value of the MHR for DES-ISR. The baseline MHR was notably greater in the ISR group than in the non-ISR group (P < 0.001). After adjusting for confounding factors, the MHR emerged as an independent predictor of ISR (OR = 1.244; 95%CI 1.171-1.321). Receiver operating characteristic (ROC) curve analysis revealed that MHR for predicting ISR had an AUC of 0.752 (95% CI 0.708-0.796). For a MHR > 7.32, the sensitivity was estimated to be 59.8% (95% CI 47.2-66.5%) and the specificity was 81.2% (95% CI 71.2-86.4%). Including the MHR in the predictive model for ISR improved the area under the curve (0.698 vs. 0.782, P < 0.001), categorical net reclassification improvement (0.703; 95%CI 0.536-0.871), and integrated discrimination improvement (0.121; 95%CI 0.092-0.151). The MHR can be used to predict DES-ISR in patients with unstable angina pectoris, indicating that the MHR may serve as a valuable marker for risk stratification and prognosis in individuals undergoing DES implantation.
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