Monocyte to high-density lipoprotein cholesterol ratio predicts restenosis of drug-eluting stents in patients with unstable angina pectoris

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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Publication Details

Journal
Scientific Reports
Published
2024-12-04
DOI
https://doi.org/10.1038/s41598-024-81818-9
Citations
6
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
3.44
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article

Monocyte to high-density lipoprotein cholesterol ratio predicts restenosis of drug-eluting stents in patients with unstable angina pectoris

Yuanying Liu, Lushan Li, He Meng, Xiujun Zhou et al.
6 citations
Scientific Reports
Coronary Interventions and Diagnostics
3.44
article

Monocyte to high-density lipoprotein cholesterol ratio predicts restenosis of drug-eluting stents in patients with unstable angina pectoris

Yuanying Liu, Lushan Li, He Meng, Xiujun Zhou, Ying Zhang, Yujie Liu
article en
6 citations

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.

Scientific ReportsVol. 14(1)
Tianjin University (CN), Tianjin Chest Hospital (CN)
Good health and well-being
Openalex Percentile: Top 7%
Coronary Interventions and Diagnostics
3.44
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