ArticleClinical interventions in aging2024
The Monocyte-to-High-Density Lipoprotein Cholesterol Ratio as a Novel Predictor of the Prevalence of Senile Osteoporosis.
Article in Clinical interventions in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Current Status of AI-Assisted Screening for Opportunistic Osteoporosis.Current osteoporosis reports · 2026Review
- Clinical Manifestations and Risk Factors of Osteoporosis in Patients with Type 2 Diabetes Mellitus.Journal of inflammation research · 2026Article
- Development and validation of a multimodal interpretable machine learning model for the identification of osteoporosis in patients with type 2 diabetes mellitus: a multicenter retrospective study.Frontiers in endocrinology · 2026Article
- Development and validation of an interpretable machine learning model for osteoporosis prediction using routine blood tests: a retrospective cohort study.BMC medical informatics and decision making · 2025Article
- Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2025Article
- Enhancing the Predictive Utility of MHR for Senile Osteoporosis: Unaddressed Considerations and Future Directions [Letter].Clinical interventions in aging · 2024Article
- Enhancing the Predictive Utility of MHR for Senile Osteoporosis: Unaddressed Considerations and Future Directions [Response to Letter].Clinical interventions in aging · 2024Article
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8 authors.
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Abstract
Purpose: The prevalence of osteoporosis in elderly individuals is high, and osteoporosis is strongly associated with chronic inflammation. The monocyte-to-high-density lipoprotein ratio (MHR) is acknowledged as a marker for assessing systemic inflammation and oxidative stress, and changes in the MHR are associated with many chronic disease prevalent among the elderly population. This study investigated the relationships between the MHR and the incidence of osteoporosis in older adults, along with its predictive value. Patients and Methods: Data from 563 participants aged ≥70 years were retrospectively analysed. The haematological parameters were evaluated via established methodologies, utilizing fasting blood samples collected from the participants. The absolute monocyte count was used to calculate the MHR (MHR=monocyte/HDL-C). BMD was measured by dual-energy X-ray absorptiometry. The results were evaluated via comparative statistical analyses, Spearman correlation, logistic regression analyses, and receiver operating characteristic (ROC) curve analysis. Results: The differences in the MHR were statistically significant among the osteoporosis groups ( Conclusion: A low MHR was associated with a greater risk of senile osteoporosis. In clinical practice, the MHR has shown predictive value for senile osteoporosis, contributing to early intervention and treatment of this disease.
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