Association between monocyte-to-high-density lipoprotein cholesterol ratio and stroke: a propensity score matched cross-sectional study

Background: Stroke is one of the leading causes of death and long-term disability worldwide, and chronic inflammation plays a central role in its pathogenesis. The monocyte-to-high-density lipoprotein cholesterol ratio (MHR) integrates pro-inflammatory activity and anti-atherosclerotic capacity, but its association with stroke risk in the general population remains unclear. This study aims to explore the relationship between MHR and stroke among U.S. adults. Methods: In this cross-sectional study, we leveraged data from the 1999-2020 National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression models were employed to examine the relationship between the MHR and stroke risk. Restricted cubic spline (RCS) analysis assessed potential non-linear dose-response relationships, while subgroup analyses evaluated its robustness. Propensity score matching (PSM) was applied to minimize confounding bias through sample refinement. Results: for interaction >0.05), indicating consistent effect magnitudes. Conclusion: In this nationally representative cross-sectional study, higher MHR levels were associated with an increased risk of stroke. Although these findings suggest that MHR may be a potential biomarker related to stroke risk, further prospective studies are required to validate its temporal relationship and clinical applicability.

Authors

Institutions

Publication Details

Journal
Frontiers in Neurology
Published
2026-04-16
DOI
https://doi.org/10.3389/fneur.2026.1721994
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between monocyte-to-high-density lipoprotein cholesterol ratio and stroke: a propensity score matched cross-sectional study

Q-Y Huang, Yuanyuan Li
Frontiers in Neurology
Inflammatory Biomarkers in Disease Prognosis
article

Association between monocyte-to-high-density lipoprotein cholesterol ratio and stroke: a propensity score matched cross-sectional study

Q-Y Huang, Yuanyuan Li
article en

Abstract

Background: Stroke is one of the leading causes of death and long-term disability worldwide, and chronic inflammation plays a central role in its pathogenesis. The monocyte-to-high-density lipoprotein cholesterol ratio (MHR) integrates pro-inflammatory activity and anti-atherosclerotic capacity, but its association with stroke risk in the general population remains unclear. This study aims to explore the relationship between MHR and stroke among U.S. adults. Methods: In this cross-sectional study, we leveraged data from the 1999-2020 National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression models were employed to examine the relationship between the MHR and stroke risk. Restricted cubic spline (RCS) analysis assessed potential non-linear dose-response relationships, while subgroup analyses evaluated its robustness. Propensity score matching (PSM) was applied to minimize confounding bias through sample refinement. Results: for interaction >0.05), indicating consistent effect magnitudes. Conclusion: In this nationally representative cross-sectional study, higher MHR levels were associated with an increased risk of stroke. Although these findings suggest that MHR may be a potential biomarker related to stroke risk, further prospective studies are required to validate its temporal relationship and clinical applicability.

Frontiers in NeurologyVol. 17
Quzhou City People's Hospital (CN)
Zero hunger
Openalex Percentile: Top 24%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.