A study on the correlation between the mean platelet volume to monocyte count ratio and long-term prognosis in patients with newly diagnosed coronary artery disease

In newly diagnosed CAD patients, MMR shows a nonlinear, inverted U-shaped association with MACE risk. The addition of MMR to standard risk models enhances prognostic accuracy. Further multicenter prospective studies and mechanistic trials are needed to verify the prognostic value of MMR and to elucidate its mechanism of action.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-10-09
DOI
https://doi.org/10.3389/fcvm.2025.1643542
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

A study on the correlation between the mean platelet volume to monocyte count ratio and long-term prognosis in patients with newly diagnosed coronary artery disease

Zelong Cao, Honghou He, Linan Duan, Peihong Wu et al.
Frontiers in Cardiovascular Medicine
Inflammatory Biomarkers in Disease Prognosis
article

A study on the correlation between the mean platelet volume to monocyte count ratio and long-term prognosis in patients with newly diagnosed coronary artery disease

Zelong Cao, Honghou He, Linan Duan, Peihong Wu, Le Wang, Mingqi Zheng, Mei Wei, Gang Wang, Qian Zhang, Wei Fu, Jianan Xu
article en

Abstract

In newly diagnosed CAD patients, MMR shows a nonlinear, inverted U-shaped association with MACE risk. The addition of MMR to standard risk models enhances prognostic accuracy. Further multicenter prospective studies and mechanistic trials are needed to verify the prognostic value of MMR and to elucidate its mechanism of action.

Frontiers in Cardiovascular MedicineVol. 12
Hebei Medical University (CN), First Affiliated Hospital of Hebei Medical University (CN), Hebei Science and Technology Department (CN)
Health Commission of Hebei Province, Hebei Medical University, National Health Commission of the People's Republic of China
Openalex Percentile: Top 61%
Inflammatory Biomarkers in Disease Prognosis
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