Evidence map›Paper›PMID 40502396›Full record

ArticleFrontiers in endocrinology2025

A cross-sectional and longitudinal cohort study of creatinine-to-cystatin C ratio and cardiovascular disease risk in a middle-aged and elderly population.

Yuling Chen, Fengmin Xu, Jia Li, Yixi Bao

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Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuling ChenDepartment of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fengmin XuDepartment of Clinical Laboratory, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, Sichuan, China.
Jia LiDepartment of Clinical Laboratory, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, Sichuan, China.
Yixi BaoDepartment of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The creatinine-to-cystatin C ratio (CCR) has recently been proposed as a proxy indicator for sarcopenia. It has been linked to a range of adverse outcomes. However, the relationship between the CCR and cardiovascular disease (CVD) is not widely recognized. This study used data from the China Health and Retirement Longitudinal Study to investigate the association between the CCR and CVD in a middle-aged and elderly population. Methods: The cross-sectional study and longitudinal cohort study included 10,614 and 6,720 passengers, respectively. The occurrence of CVD incidents was defined as self-reported health history or receipt of cardiac disease treatment. The CCR through creatinine (mg/dL) and cystatin C (mg/dL) were calculated and grouped by quartiles. Unadjusted and adjusted logistic regression models were employed to further explore the CCR-CVD relationships. Results: The findings of our study demonstrated a progressively significant reduction in the risk of CVD with an additional CCR. The cross-sectional cohort findings indicated a 21% reduction in the risk of CVD with every additional unit of CCR (OR=0.79, 95% CI, 0.73-0.84). In three logistic regression models, there was a significant association between CCR quartiles and a lower risk of CCR (p for trend <0.001). Further subgroup analyses revealed a 16% reduction in the incidence of CVD with each additional unit of CCR among individuals aged below 65 years (OR, 0.84; 95% CI, 0.78-0.91) and a 18% decline in CVD with each unit of CCR in married populations (OR, 0.82; 95% CI, 0.77-0.88). The findings of the Longitudinal Cohort Study indicated that for each unit increase in CCR, there was an 22% reduction in the risk of CVD (OR=0.78, 95% CI, 0.68-0.90). In logistic regression models adjusted for all co-dependent variables, the prevalence of CVD was reduced by 15%, 21%, and 41% as the number of CCR quartiles increased. This result was also verified by restricted cubic spline analysis. Conclusion: In conclusion, the correlation between an elevated CCR and a reduced risk of CVD in middle-aged and elderly populations has been established. Enhanced CCR levels may prove useful in predicting CVD occurrence in the elderly, thus representing a simple and effective biomarker.

Indexed as

Cardiovascular DiseasesCreatinineCystatin CSarcopeniaAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansIncidenceLogistic ModelsLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsBiomarkersCreatinineCystatin Ccardiovascular diseaseCCRcreatininecystatin Colder adults

Identifiers

PMID40502396
PMCPMC12152309

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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.