Predicting cardiovascular disease and all-cause mortality using the lymphocyte-to-monocyte ratio: Insights from explainable machine learning models.

ABSTRACT:

Background

Cardiovascular disease (CVD) is a leading cause of death globally, with its incidence and mortality rates continuing to rise. While commonly used biomarkers such as low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and blood glucose are widely applied, they have certain limitations. This study investigates the lymphocyte-to-monocyte ratio (LMR), a simple immune biomarker associated with inflammation, to assess whether it can serve as a new marker for predicting chronic inflammation in cardiovascular disease, and compares it to traditional biomarkers.

Methods

We conducted a cross-sectional analysis of data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018, utilizing a cohort of 1518 partici

SUBMITTER: Wu J 

PROVIDER: S-EPMC11849660 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature