Evidence map›Paper›PMID 41639645›Full record

ArticleBMC geriatrics2026

Association between new metabolic indices and atrial fibrillation in elderly hypertensive patients in China.

Wei Zhou, Yumeng Shi, Chao Yu, Tao Wang, Lingjuan Zhu, Xiaoshu Cheng, Huihui Bao

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Wei ZhouCenter for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Yumeng ShiDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Chao YuCenter for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Tao WangCenter for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Lingjuan ZhuCenter for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Xiaoshu ChengCenter for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China. xiaoshumenfan126@163.com.
Huihui BaoCenter for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China. huihui_bao77@126.com.

Funding

the Cultivation of backup projects for National Science and Technology Awards 20223AEI91007
6 · The paper itself

Abstract

backgroundThe purpose of this study is to study the relationship between serum uric acid to high-density lipoprotein cholesterol ratio (UHR) and atrial fibrillation (AF) in elderly patients with hypertension. To provide a scientific basis for the correlation between UHR and AF, which is of great significance to the prevention and control of AF.

methodsThe cross-sectional study utilized data collected from the hypertension registration cohort study. The exposure factor of this study was UHR, and the outcome was AF, defined as AF or atrial flutter captured by standard 12-lead ECG. The association between UHR and AF was evaluated using the logistics regression analysis and the method of penalty spline.

resultsThis cross-sectional study included 9902 elderly hypertensive patients (4685 males), with an average age of 68.7 ± 6.1 years. The multivariate logistic regression analysis presented a linearly positive relationship between UHR and AF. For per 1 SD increase in UHR, the prevalence of AF was increased by 33%. When UHR was assessed as quartiles, after adjustment for potential covariates, with Q1 group as the reference group, the ORs (95%CIs) for AF in Q2, Q3 and Q4 groups were respectively 1.27 (0.88, 1.83), 1.66 (1.07, 2.57), and 1.75 (1.20, 2.55). The linearly positive correlation between UHR and AF existed stably in each subgroup.

conclusionsIn elderly Chinese patients with hypertension, UHR was linearly and positively correlated with AF, and it might be a novel and effective indicator for the screening for AF.

Indexed as

Atrial FibrillationCholesterol, HDLHypertensionUric AcidAgedBiomarkersChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleBiomarkersCholesterol, HDLUric AcidAtrial fibrillationElderlyHigh-density lipoprotein cholesterolHypertensiveSerum uric acid

Identifiers

PMID41639645
PMCPMC12964895

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LicenceCC BY-NC-ND
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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.