Association between platelet/high-density lipoprotein cholesterol ratio and incidence of coronary heart disease: insights from the UK Biobank

BACKGROUND: The platelet-to-high-density lipoprotein cholesterol ratio (PHR) integrates platelet count and HDL-C concentration and may reflect thrombo-inflammatory and lipid-related cardiovascular risk. However, its association with incident coronary heart disease (CHD) and its incremental value beyond its individual components remain uncertain. METHODS: cells/L) divided by HDL-C concentration (mmol/L) and analyzed in quartiles and as a log-transformed continuous variable. Incident CHD was defined as the first occurrence of angina pectoris, acute myocardial infarction (AMI), or chronic ischemic heart disease. Cox proportional hazards models were used to estimate hazard ratios (HRs) after adjustment for demographic, socioeconomic, lifestyle, and clinical covariates. Restricted cubic spline models were applied to examine non-linearity. Discriminatory performance and incremental model information were evaluated using ROC/C-index analyses and likelihood ratio tests. Exploratory mediation-oriented analyses examined hs-CRP, HbA1c, and neutrophil count. RESULTS: During a median follow-up of 13.0 years, 20,340 incident CHD events occurred. Compared with participants in the lowest PHR quartile, those in the highest quartile had a higher hazard of incident CHD in the fully adjusted model (HR 1.36, 95% CI 1.31-1.42; P < 0.01). The association was also observed for CHD subtypes and appeared stronger for AMI (Q4 vs. Q1: HR 1.68, 95% CI 1.56-1.81) than for chronic ischemic heart disease (Q4 vs. Q1: HR 1.38, 95% CI 1.32-1.45). Restricted cubic spline analysis suggested a non-linear association between log-transformed PHR and incident CHD (P for non-linearity < 0.001), with a relatively flat association at lower values and a steeper increase at higher values. PHR showed moderate discrimination for incident CHD (AUC 0.716, 95% CI 0.713-0.720), and adding PHR to the fully adjusted clinical model produced a small increase in C-index (0.714 to 0.720), larger than that observed when platelet count or HDL-C was added separately. Exploratory analyses suggested that hs-CRP, HbA1c, and neutrophil count statistically accounted for part of the observed association, although these findings may reflect shared inflammatory and metabolic background rather than causal mediation. CONCLUSION: Higher PHR was associated with increased risk of incident CHD in this large prospective cohort, particularly for AMI. PHR may serve as a simple adjunctive marker for CHD risk stratification when interpreted alongside established clinical risk factors.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2026-05-18
DOI
https://doi.org/10.1186/s12872-026-05959-7
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 platelet/high-density lipoprotein cholesterol ratio and incidence of coronary heart disease: insights from the UK Biobank

C Y Chen, Dazhuo Shi, Guo M, Pengfei Chen et al.
BMC Cardiovascular Disorders
Inflammatory Biomarkers in Disease Prognosis
article

Association between platelet/high-density lipoprotein cholesterol ratio and incidence of coronary heart disease: insights from the UK Biobank

C Y Chen, Dazhuo Shi, Guo M, Pengfei Chen, Changgeng Fu
article en

Abstract

BACKGROUND: The platelet-to-high-density lipoprotein cholesterol ratio (PHR) integrates platelet count and HDL-C concentration and may reflect thrombo-inflammatory and lipid-related cardiovascular risk. However, its association with incident coronary heart disease (CHD) and its incremental value beyond its individual components remain uncertain. METHODS: cells/L) divided by HDL-C concentration (mmol/L) and analyzed in quartiles and as a log-transformed continuous variable. Incident CHD was defined as the first occurrence of angina pectoris, acute myocardial infarction (AMI), or chronic ischemic heart disease. Cox proportional hazards models were used to estimate hazard ratios (HRs) after adjustment for demographic, socioeconomic, lifestyle, and clinical covariates. Restricted cubic spline models were applied to examine non-linearity. Discriminatory performance and incremental model information were evaluated using ROC/C-index analyses and likelihood ratio tests. Exploratory mediation-oriented analyses examined hs-CRP, HbA1c, and neutrophil count. RESULTS: During a median follow-up of 13.0 years, 20,340 incident CHD events occurred. Compared with participants in the lowest PHR quartile, those in the highest quartile had a higher hazard of incident CHD in the fully adjusted model (HR 1.36, 95% CI 1.31-1.42; P < 0.01). The association was also observed for CHD subtypes and appeared stronger for AMI (Q4 vs. Q1: HR 1.68, 95% CI 1.56-1.81) than for chronic ischemic heart disease (Q4 vs. Q1: HR 1.38, 95% CI 1.32-1.45). Restricted cubic spline analysis suggested a non-linear association between log-transformed PHR and incident CHD (P for non-linearity < 0.001), with a relatively flat association at lower values and a steeper increase at higher values. PHR showed moderate discrimination for incident CHD (AUC 0.716, 95% CI 0.713-0.720), and adding PHR to the fully adjusted clinical model produced a small increase in C-index (0.714 to 0.720), larger than that observed when platelet count or HDL-C was added separately. Exploratory analyses suggested that hs-CRP, HbA1c, and neutrophil count statistically accounted for part of the observed association, although these findings may reflect shared inflammatory and metabolic background rather than causal mediation. CONCLUSION: Higher PHR was associated with increased risk of incident CHD in this large prospective cohort, particularly for AMI. PHR may serve as a simple adjunctive marker for CHD risk stratification when interpreted alongside established clinical risk factors.

BMC Cardiovascular Disorders
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Xiyuan Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 7%
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.