Evidence map›Paper›PMID 39837280›Full record

ArticleCardiorenal medicine2025

Association of Liver Fibrosis Markers with Mortality Outcomes in Patients with Chronic Kidney Disease and Coronary Artery Disease: Insights from the NHANES 1999-2018 Data.

Zixiang Ye, Enmin Xie, Ziyu Guo, Yanxiang Gao, Zhongwei Han, Kefei Dou, Jingang Zheng

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Article in Cardiorenal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zixiang YeDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Enmin XieDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ziyu GuoDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Yanxiang GaoDepartment of Cardiology, China-Japan Friendship Hospital, Beijing, China.
Zhongwei HanDepartment of Cardiology, Yantai Muping District Hospital of Traditional Chinese Medicine, Yantai, China.
Kefei Dou
Jingang Zheng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this research was to explore the possible link between markers of liver fibrosis and survival rates in a group of adults who have been diagnosed with both chronic kidney disease (CKD) and coronary artery disease (CAD).

methodsThe National Health and Nutrition Examination Survey (NHANES) data (1999-2018) for participants with both CAD and CKD were analyzed. The fibrosis-4 index (FIB-4), Nonalcoholic Fatty Liver Score (NFS), Forns index, and aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio were identified as crucial biomarkers. All-cause and cardiovascular disease (CVD) mortality were primary outcomes, assessed using Cox models, Kaplan-Meier curves, and receiver operating characteristic (ROC) analysis.

resultsA total of 1,192 CKD and CAD patients were included. The Cox regression analysis revealed substantial correlations between elevated FIB-4, NFS, Forns index, and AST/ALT levels and a heightened risk of all-cause (hazard ratio [HR]: 1.188, 95% confidence interval [CI]: 1.108-1.274; HR: 1.145, 95% CI: 1.069-1.227; HR: 1.142, 95% CI: 1.081-1.201; HR: 1.316, 95% CI: 1.056-1.639, respectively) and CVD mortality (HR: 1.133, 95% CI: 1.007-1.275; HR: 1.155, 95% CI: 1.024-1.303; HR: 1.208, 95% CI: 1.109-1.316 and HR: 1.636, 95% CI: 1.203-2.224, respectively). The ROC analysis indicated comparable predictive accuracy for all three biomarkers, with AST/ALT showing slightly superior performance.

conclusionLiver fibrosis markers, including AST/ALT, NFS, Forns index and FIB-4, are significant mortality predictors in CAD-CKD patients. The AST/ALT ratio, being easily measurable, may serve as an effective predictive tool for risk stratification in this population.

Indexed as

Coronary Artery DiseaseLiver CirrhosisRenal Insufficiency, ChronicAdultAgedAlanine TransaminaseAspartate AminotransferasesBiomarkersFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsSurvival RateUnited StatesAlanine TransaminaseAspartate AminotransferasesBiomarkersAST/ALT ratiosChronic kidney diseaseCoronary artery diseaseLiver fibrosis markersMortality

Identifiers

PMID39837280
PMCPMC11844702

What Socratic holds

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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.