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Monocyte to high-density lipoprotein ratio predict long-term clinical outcomes in patients with coronary heart disease: A meta-analysis of 9 studies.
- Source :
-
Medicine [Medicine (Baltimore)] 2022 Aug 19; Vol. 101 (33), pp. e30109. - Publication Year :
- 2022
-
Abstract
- Background: A novel inflammation-related biomarker, the monocyte to high-density lipoprotein cholesterol ratio (MHR), had a great relation to the development and prognosis of coronary atherosclerotic heart disease. Current study was to investigate whether the MHR was a potential tool in predicting the mortality and major adverse cardiac events (MACEs) in patients suffering coronary heart disease (CHD) by meta-analysis.<br />Methods: The Cochrane Library, PubMed, MEDLINE, Scopus, EMBASE, and Web of science were searched for relevant cohort studies published prior to February 10, 2022. The association between MHR and mortality/MACEs was analyzed in patients with CHD. Hazard ratios (HR) with 95% confidence interval (CI) were calculated to estimate the strength of association.<br />Results: In the meta-analysis, a total of 9 studies of 11,345 patients with CHD were included. Compared with the low level of MHR group, the high MHR value was associated with higher long-term MACEs (HR = 1.72 95% CI 1.36-2.18, P < .001), long-term mortality (HR = 1.71, 95% CI 1.10-2.66, P = .017), and in-hospital mortality/MACEs (HR = 2.82, 95% CI = 1.07-7.41, P = .036).<br />Conclusions: This study suggested that increased MHR value might be associated with higher long-term mortality and long-term MACEs in CHD patients. MHR might serve as a potential prognostic indicator for risk stratification in patients with CHD.<br />Competing Interests: The authors have no conflicts of interest to disclose.<br /> (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)
- Subjects :
- Cholesterol, HDL
Humans
Monocytes
Prognosis
Coronary Disease
Lipoproteins, HDL
Subjects
Details
- Language :
- English
- ISSN :
- 1536-5964
- Volume :
- 101
- Issue :
- 33
- Database :
- MEDLINE
- Journal :
- Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 35984155
- Full Text :
- https://doi.org/10.1097/MD.0000000000030109