Evidence map›Paper›PMID 39462374›Full record

ArticleLipids in health and disease2024

Association between platelet to high-density lipoprotein cholesterol ratio (PHR) and hypertension: evidence from NHANES 2005-2018.

Jia Chen, Boyu Wang, Changxing Liu, Chengjia Li, Tianwei Meng, Jiameng Wang, Qingnan Liu, Zhiping Liu, Yabin Zhou

Abstract read
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Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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22citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jia Chen *Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Boyu Wang *Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Changxing Liu *Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Chengjia LiHeilongjiang University of Chinese Medicine, Harbin, 150040, China.
Tianwei MengHeilongjiang University of Chinese Medicine, Harbin, 150040, China.
Jiameng WangHeilongjiang University of Chinese Medicine, Harbin, 150040, China.
Qingnan LiuHeilongjiang University of Chinese Medicine, Harbin, 150040, China.
Zhiping LiuThe First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China. liuzhipingmedicine@163.com.
Yabin ZhouThe First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China. yabzhou@163.com.

Funding

Heilongjiang Provincial Postdoctoral Science LBH-Z22286
6 · The paper itself

Abstract

backgroundThe Platelet to High-Density Lipoprotein cholesterol Ratio (PHR) is a novel indicator of inflammatory response and metabolic disorders, linked to various chronic diseases. This study aims to investigate the relationship between PHR and hypertension.

methodsData from the National Health and Nutrition Examination Survey (NHANES), collected across seven consecutive cycles from 2005 to 2018, were analyzed. The dataset included participants' hypertension status as reported by a doctor, their use of antihypertensive medications, and the average of three blood pressure measurements to identify hypertensive adults, along with complete information for PHR calculation. PHR was calculated based on Platelet (PLT) count and High-Density Lipoprotein cholesterol (HDL-C) using the following formula: PHR = [PLT (1000 cells/µL) / HDL-C (mmol/L)]. A multivariable logistic regression model was employed to assess the association between PHR and hypertension, and subgroup analyses were conducted to explore potential influencing factors. Additionally, Restricted Cubic Spline (RCS) curves were applied for threshold effect analysis to describe nonlinear relationships.

resultsHigher PHR was associated with an increased prevalence of hypertension. After adjusting for various covariates, including race, education level, Family Poverty Income Ratio (PIR), smoking, alcohol consumption, sleep disturbances, waist circumference, diabetes, coronary heart disease, angina, heart attack, and stroke, the results remained significant (OR = 1.36; 95% CI, 1.32, 1.41, P < 0.001). Participants with the highest PHR levels had a 104% higher risk of hypertension compared to those with the lowest PHR levels (OR = 2.04; 95% CI, 1.89, 2.21, P < 0.001).

conclusionElevated PHR levels are strongly associated with an increased risk of hypertension. Specifically, when PHR is below 280, the risk of hypertension increases in proportion to PHR. This suggests that regular monitoring of PHR may help identify patients at risk of hypertension early, allowing for timely interventions to slow disease progression. Larger cohort studies are necessary to confirm these findings.

Indexed as

Blood PlateletsCholesterol, HDLHypertensionNutrition SurveysAdultAgedFemaleHumansMaleMiddle AgedPlatelet CountRisk FactorsCholesterol, HDLCross-sectional studyHypertensionNHANESPlatelet to high-density lipoprotein cholesterol ratio

Identifiers

PMID39462374
PMCPMC11514891

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.