Evidence map›Paper›PMID 38797614›Full record

ArticleAtherosclerosis2024

Longitudinal albuminuria patterns predict coronary artery calcification progression: Findings from the Coronary Artery Risk Development in Young Adults study.

Jianwu Zhang, Qingping Zhong, Yuhui Lin, Yangmei Zhang, Yintong Teng, Jiajing Chen, Caiwen Ou, Weijing Feng

Abstract readMulticenter Study
In one paragraph

Article in Atherosclerosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jianwu ZhangDepartment of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qingping ZhongThe Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Southern Medical University, Dongguan, China.
Yuhui LinDepartment of Cardiology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yangmei ZhangThe Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Southern Medical University, Dongguan, China.
Yintong TengThe Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Southern Medical University, Dongguan, China.
Jiajing ChenThe Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Southern Medical University, Dongguan, China.
Caiwen OuDepartment of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China; The Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Southern Medical University, Dongguan, China.
Weijing FengDepartment of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China. Electronic address: carl.1990@163.com.

Funding

NHLBI NIH HHS HHSN268200900041CNHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS HHSN268201300027CNHLBI NIH HHS HHSN268201300028CNHLBI NIH HHS HHSN268201300029C
6 · The paper itself

Abstract

BACKGROUND AND

aimsAlbuminuria is an established risk factor for adverse cardiovascular outcomes. However, few studies have characterized longitudinal albuminuria patterns based on long-term measurement of urine albumin-to-creatinine ratio (UACR) levels. We aimed to evaluate the association between longitudinal albuminuria patterns in midlife adults and subsequent CAC progression.

methodsWe included 1919 participants with CAC assessment by computed tomography from CARDIA (Coronary Artery Risk Development in Young Adults) study. CAC progression was determined for each individual as the difference of logarithmic CAC scores at follow-up and baseline. Albuminuria patterns across a 10-year span were estimated by longitudinal UACR levels. Multivariable general linear models were used to evaluate the association of long-term albuminuria patterns with CAC progression.

resultsOf the 1919 included participants, 583 (30.4 %) participants experienced CAC progression, and the mean (SD) age was 50.4 (3.5) years at year 25. A total of four dynamic albuminuria patterns were identified. After multivariable adjustment, there were significant differences in CAC progression by albuminuria patterns as demonstrated as percent change in CAC with 36.0 % (SE, 1.5) progression for mid- and late-life normoalbuminuria group, 46.0 % (SE, 7.6) for midlife normoalbuminuria and late-life high albuminuria group, 52.4 % (SE, 7.1) for midlife high albuminuria and late-life normoalbuminuria group, and 54.5 % (SE, 8.7) for mid- and late-life high albuminuria group (p = 0.019). Similar findings were also observed in CAC volume score changes.

conclusionsLongitudinal albuminuria patterns across a 10-year span were associated with worse CAC progression independent of baseline CAC level and albuminuria changes, suggesting that it may provide early identification of high-risk individuals with dynamic rises in albuminuria who may benefit from aggressive risk factor modification.

Indexed as

AlbuminuriaCoronary Artery DiseaseDisease ProgressionVascular CalcificationAdolescentAdultAge FactorsComputed Tomography AngiographyCoronary AngiographyCreatinineFemaleHumansLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsCreatinineCohort studyCoronary artery calcification progressionLong-term albuminuria patternsRisk factor

Identifiers

PMID38797614
PMCPMC11646652

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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.