Correlation of Coronary Heart Disease Mortality with HALP Score: A Cross-Sectional Study Based on NHANES

This study investigates the association between HALP score (hemoglobin, albumin, lymphocytes, platelets) and all-cause mortality in coronary heart disease (CHD) patients using NHANES data (1998-2018). Eligible CHD patients were grouped into Q1-Q4 by HALP quartiles. Analyses included weighted Cox models, restricted cubic spline (RCS) regression, Kaplan-Meier (K-M) curves, and subgroup analyses. Results showed 937 all-cause deaths. After covariate adjustment, Q2-Q4 had lower mortality risk (HR=0.74, 0.68, 0.70; 95% CIs respectively). A significant J-shaped nonlinear relationship was found (nonlinear P<0.001) with a turning point at 78.02: each 1-unit increase in HALP ≤78.02 reduced death risk by 1.3% (HR=0.987), while the protective effect plateaued above this. K-M curves showed higher HALP correlated with higher survival, and subgroup analyses confirmed robustness. The HALP score exhibits a J-shaped relationship with all-cause mortality in patients with coronary heart disease (CHD) and has potential prognostic value.

Publication Details

Journal
Social Medicine and Health Management
Published
2025-01-01
DOI
https://doi.org/10.23977/socmhm.2025.060117
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Correlation of Coronary Heart Disease Mortality with HALP Score: A Cross-Sectional Study Based on NHANES

Social Medicine and Health Management
Health and Well-being Studies
article

Correlation of Coronary Heart Disease Mortality with HALP Score: A Cross-Sectional Study Based on NHANES

article en

Abstract

This study investigates the association between HALP score (hemoglobin, albumin, lymphocytes, platelets) and all-cause mortality in coronary heart disease (CHD) patients using NHANES data (1998-2018). Eligible CHD patients were grouped into Q1-Q4 by HALP quartiles. Analyses included weighted Cox models, restricted cubic spline (RCS) regression, Kaplan-Meier (K-M) curves, and subgroup analyses. Results showed 937 all-cause deaths. After covariate adjustment, Q2-Q4 had lower mortality risk (HR=0.74, 0.68, 0.70; 95% CIs respectively). A significant J-shaped nonlinear relationship was found (nonlinear P<0.001) with a turning point at 78.02: each 1-unit increase in HALP ≤78.02 reduced death risk by 1.3% (HR=0.987), while the protective effect plateaued above this. K-M curves showed higher HALP correlated with higher survival, and subgroup analyses confirmed robustness. The HALP score exhibits a J-shaped relationship with all-cause mortality in patients with coronary heart disease (CHD) and has potential prognostic value.

Social Medicine and Health ManagementVol. 6(1)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 74%
Health and Well-being Studies
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Correlation of Coronary Heart Disease Mortality with HALP Score: A Cross-Sectional Study Based on NHANES · Social Medicine and Health Management (2025) | TGRS Research Map | TGRS