ArticleTurkish journal of medical sciences2020
Association between monocyte to high-density lipoprotein cholesterol ratio and bicuspid aortic valve degeneration
Article in Turkish journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Association between high-density lipoprotein-related inflammation index and prevalence of sleep disorders with depression as a mediator.European archives of psychiatry and clinical neuroscience · 2026Article
- High-density lipoprotein-related inflammation indices and reproductive lifespan in women: insights from NHANES 2007-2018.BMC women's health · 2025Article
- Association between high-density lipoprotein cholesterol-related inflammation indices and chronic obstructive pulmonary disease: a cross-sectional study employing machine learning analysis.Lipids in health and disease · 2025Article
- Association between circulatory immune cell to high-density lipoprotein cholesterol ratios and testosterone level in adult men: findings from NHANES 2011-2016.BMC endocrine disorders · 2025Article
- The Role of Paraoxonase-1 Activity, Apolipoprotein B Levels, and Apolipoprotein B/Apolipoprotein A-I Ratio as Risk Markers for Aortic Stenosis in Patients with a Bicuspid Aortic Valve.Antioxidants (Basel, Switzerland) · 2025Article
- Association between inflammatory hematological ratios and aortic valve stenosis: a propensity-matched analysis.Frontiers in cardiovascular medicine · 2025Article
- Association between high-density lipoprotein-related inflammation index and periodontitis: insights from NHANES 2009-2014.Lipids in health and disease · 2024Article
- The Impact of Monocyte to High-Density Lipoprotein Cholesterol Ratio on All-Cause and Cardiovascular Mortality in Patients with Transcatheter Aortic Valve Replacement.Journal of personalized medicine · 2023Article
- Adjustment of the GRACE Risk Score by Monocyte to High-Density Lipoprotein Ratio Improves Prediction of Adverse Cardiovascular Outcomes in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.Frontiers in cardiovascular medicine · 2021Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/aim: From a pathophysiological point of view, inflammation is thought to be more dominant in bicuspid aortic valve (BAV) stenosis than tricuspid aortic valve (TAV) stenosis. Our study aimed to determine the association between monocyte to high- density lipoprotein cholesterol (HDL-C) ratio (MHR), a new inflammatory marker, and the speed of progression of stenosis and pathophysiology of BAV stenosis. Materials and methods: A total of 210 severe aortic stenosis patients (70 consecutive BAV patients, 140 matched TAV patients) were retrospectively enrolled in the study. Clinical and echocardiographic data and laboratory results related to our research were collected retrospectively from the patients’ records. MHR was measured as the ratio of the absolute monocyte count to the HDL-C value. Results: Seventy BAV (mean age: 72.0 ± 9.1 years, 42.9% female) and 140 TAV patients (mean age: 77.9 ± 8.3 years, 51.4% female) with severe aortic stenosis were enrolled in this study. There was no difference between the two groups in terms of another baseline demographic or clinic findings except age (P < 0.001). Monocyte count, hemoglobin level, mean platelet volume was significantly higher, and HDL-C level was significantly lower in the BAV group, while other lipid and CBC parameters were found to be similar. In the multivariate analysis, MHR (P = 0.005, 95% CI: 0.90–0.98) and, as expected, age (P = 0.001, 95% CI: 1.02–1.11) were found to be significant as the independent predictor of BAV, after adjusting for other risk factors. Conclusion: Our study showed a significant correlation between increased MHR and BAV. MHR was determined as a significant independent predictor for the speed of progression and diagnosis of severe BAV stenosis in multivariate analysis.
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