Evidence mapPaperPMID 41201050Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2025

Urinary Albumin-to-Creatinine Ratio, Cardiovascular Health, and All-Cause Mortality in Hypertension: A Nationwide Cohort Analysis.

Dingding Wang, Meng Zhang, Peichen Xie, Jianwen Yu, Jianbo Li, Lanping Jiang, Xunhua Zheng, Zhentian Wu, Suchun Li, Siyang Ye and 5 more

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

15 authors.

Dingding WangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Meng ZhangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Peichen XieDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Jianwen YuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Jianbo LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Lanping JiangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Xunhua ZhengDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Zhentian WuCenter For Information Technology & Statistics, Statistics Section, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Suchun LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Siyang YeDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Leigang JinState Key Laboratory of Pharmaceutical Biotechnology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
Kam Wa ChanSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
Sydney C W TangDivision of Nephrology, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
Wei ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
Bin LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.

Funding

General Project of Natural Science Foundation of Guangdong Province 2019A1515010992Guangdong International Science and Technology Cooperation Institute of Immune Kidney Disease and Precision MedicineGuangdong Medical Science and Technology Research Fund Project of China A2020085Guangdong Provincial Key Laboratory of NephrologyGuangzhou Science and Technology Project 2025A04J4173National Key Research and Development Project of China 2021YFC2501302Natural Science Foundation of Guangdong Province 2024A1515012914Natural Science Foundation of Guangdong Province 2024A1515013210NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University)
6 · The paper itself

Abstract

While both cardiovascular health (CVH) and urinary albumin-to-creatinine ratio (UACR) are individually associated with mortality, their combined prognostic significance and potential mechanistic interplay in adults with hypertension remain unclear. This cohort study analyzed data from 9154 hypertensive adults in the National Health and Nutrition Examination Survey 2007-2018. CVH was assessed using the American Heart Association's Life's Essential 8 score, and UACR was measured from spot urine samples. Multivariable Cox proportional hazards models, restricted cubic spline analyses, joint exposure modeling, and causal mediation analysis were used to evaluate the independent, combined, and mediating effects of UACR and CVH on all-cause mortality. Both lower CVH scores and higher UACR levels were independently associated with increased mortality. A nonlinear association was observed for each. Individuals with severely elevated UACR and poor CVH had the highest mortality risk (HR = 6.61; 95% CI, 3.72-11.74), while those with normal UACR (<10 mg/g) showed no significant mortality difference across CVH strata. Notably, even mildly elevated UACR (10-29.9 mg/g), considered within the conventional "normal" range, was associated with significantly increased mortality. Mediation analysis revealed that UACR explained 4.01% (95% CI, 2.83%-6.40%; p < 0.001) of the association between CVH and mortality. This study is the first to demonstrate that UACR not only modifies but also mediates the association between CVH and mortality in individuals with hypertension. These findings underscore the prognostic value of integrating renal and cardiovascular metrics and suggest that even low-grade albuminuria has clinical relevance.

Indexed as

AlbuminuriaCardiovascular DiseasesCreatinineHypertensionAdultAgedBiomarkersCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrognosisProportional Hazards ModelsBiomarkersCreatininecardiovascular healthhypertensionmortalityNHANESurinary albumin‐to‐creatinine ratio

Identifiers

PMID41201050
PMCPMC12593552

What Socratic holds

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Registered trials

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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.