Evidence mapPaperPMID 38907262Full record

ArticleLipids in health and disease2024

The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hyperuricaemia.

Zhaoxiang Wang, Menghuan Wu, Ruiqin Du, Fengyan Tang, Mengjiao Xu, Tian Gu, Qichao Yang

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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 44 papers.

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44citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhaoxiang Wang *Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, 215300, China.
Menghuan Wu *Department of Cardiology, Xuyi People's Hospital, Xuyi, Jiangsu, 211700, China.
Ruiqin DuDepartment of Endocrinology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Fengyan TangDepartment of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, 215300, China.
Mengjiao XuDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, 213017, China.
Tian GuDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, 213017, China.
Qichao YangDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, 213017, China. yangqichao@wjrmyy.cn.

Funding

the Guang Ren Foundation Research Project of Affiliated Hospital of Jiangsu University KRY-YN2022017the Kunshan key R & D program KS2201the Science and Technology Project of Changzhou Health Commission WZ202226the Young Talent Development Plan of Changzhou Health Commission CZQM2022029
6 · The paper itself

Abstract

purposeThe ratio of non-high-density lipoprotein cholesterol (non-HDL-c) to high-density lipoprotein cholesterol (HDL-c) (NHHR) is a novel comprehensive lipid index. The aim of this study was to investigate the relationship between the NHHR and the prevalence of hyperuricaemia (HUA) in the adult population of the U.S.

methodsThis cross-sectional study collected data from the National Health and Nutrition Examination Survey (NHANES) (2007-2018). HUA was defined as a serum uric acid (SUA) concentration ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Multivariate logistic regression models and the restricted cubic spline (RCS) method were applied to examine the relationship between the NHHR and the risk of developing HUA. Subgroup analyses and interaction tests were also performed.

resultsThe prevalence of HUA increased with increasing NHHR values (9.01% vs. 13.38% vs. 17.31% vs. 25.79%, P < 0.001). The NHHR was independently correlated with the risk of developing HUA (OR = 1.10, 95% CI: 1.05-1.16; P < 0.001). Furthermore, the risk of developing HUA was significantly greater among individuals with the highest NHHR quartile than among those with the lowest NHHR quartile (OR = 1.94, 95% CI: 1.62-2.33; P < 0.001). This relationship was consistent across subgroups. According to the RCS analysis, an inverted U-shaped relationship existed between the NHHR and the risk of developing HUA.

conclusionsThe NHHR was closely associated with an increased risk of developing HUA. Further studies on the NHHR could be beneficial for preventing and treating HUA.

Indexed as

Cholesterol, HDLHyperuricemiaUric AcidAdultAgedCholesterol, LDLCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsCholesterol, HDLCholesterol, LDLUric AcidHyperuricaemiaNHANESNHHRNon-HDL-cNonlinear relationship

Identifiers

PMID38907262
PMCPMC11191326

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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 Socratic graph.