Evidence mapPaperPMID 39725874Full record

ArticleBMC cardiovascular disorders2024

U-shaped association of uric acid to HDL cholesterol ratio (UHR) with ALL-cause and cardiovascular mortality in diabetic patients: NHANES 1999-2018.

Xuanchun Huang, Lanshuo Hu, Jun Li, Xuejiao Wang

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Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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6 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Xuanchun Huang *Guang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China.
Lanshuo Hu *Xiyuan Hospital, China Academy of Traditional Chinese Medicine, Beijing, China.
Jun LiGuang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China. gamyylj@163.com.
Xuejiao WangGuang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China. wxuejiao@bucm.edu.cn.

Funding

Beijing Municipal Science and Technology Development Funding Program of Traditional Chinese Medicine No. JJ-2020-69High Level Chinese Medical Hospital Promotion Project No. HLCMHPP2023065National Key Research and Development Program of China No. 2022YFC3500102National Natural Science Foundation of China 82474494
6 · The paper itself

Abstract

objectiveTo investigate the relationship between the uric acid to high-density lipoprotein cholesterol ratio (UHR) and ALL-cause and cardiovascular mortality among diabetic patients.

methodsThis study utilized health data from diabetic patients included in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. The Kaplan-Meier curves was employed to preliminarily explore the association between UHR, its components, and all-cause and cardiovascular mortality in diabetic patients, as well as to analyze UHR levels and mortality across different genders. Subsequently, the Cox proportional hazards model was used to further investigate the relationship between UHR, its components, and mortality in diabetic patients. Restricted cubic spline (RCS) curves were applied to examine the nonlinear relationship between UHR, its components, and mortality, with a particular focus on the association between UHR and mortality across different genders.

resultsThis longitudinal cohort study included a total of 6,370 participants, comprising 3,268 males and 3,102 females. Kaplan-Meier analysis revealed a positive correlation between UHR, UA, and mortality in diabetic patients, while the association between HDL and mortality was negligible. The Cox proportional hazards model demonstrated a positive association between UHR and mortality in the diabetic population, while the statistical effects of UA and HDL on mortality were less pronounced compared to UHR. When analyzed by gender, no significant linear relationship was observed between UHR and mortality in either males or females. Subsequently, RCS analysis indicated a U-shaped nonlinear relationship between UHR and mortality in the overall diabetic population and among female patients, with a similar trend observed in males. Furthermore, stratified RCS analysis confirmed the persistence of the U-shaped relationship between UHR and prognosis across most subgroups.

conclusionThis study found a U-shaped relationship between UHR and both ALL-cause and cardiovascular mortality in diabetic population. This suggests that clinicians should control UHR around 9-10 to improve the long-term prognosis of diabetic patients.

Indexed as

BiomarkersCardiovascular DiseasesCause of DeathCholesterol, HDLDiabetes MellitusNutrition SurveysUric AcidAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedPrognosisRisk AssessmentBiomarkersCholesterol, HDLUric AcidDiabetic patientsHigh density lipoproteinInflammationLongitudinal cohort studyMetabolismMortality rateNHANES databaseUric acid

Identifiers

PMID39725874
PMCPMC11674183

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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.