<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>46(1)</volume><submitter>Chen S</submitter><funding>Guangdong Provincial science and technology project</funding><funding>Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention</funding><funding>Key Laboratory of Emergency and Trauma of Ministry of Education</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Renal dysfunction leads to poor prognosis of patients with coronary artery disease (CAD). Current studies have reported the prognosis or mortality of various diseases using different estimated glomerular filtrate rate (eGFR) formulas, while the performance of these equations is unclear in CAD patients. We aim to evaluate the predict effect of creatinine-based eGFR (eGFRcr), cystatin C-based eGFR (eGFRcys), and both creatinine and cystatin C-based eGFR (eGFRcr-cys) in CAD patients.&lt;h4>Methods&lt;/h4>A total of 23,178 patients with CAD were included from CIN-II cohort study. The association of eGFRcr, eGFRcys and eGFRcr-cys with cardiovascular and all-cause mortality was detected by Cox regression analysis. The predictive effect of eGFRcr, eGFRcys and eGFRcr-cys on mortality </pubmed_abstract><journal>Renal failure</journal><pagination>2327494</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10993740</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Predictive effect of estimated glomerular filtrate rate by creatinine or cystatin C on mortality in patients with coronary artery disease.</pubmed_title><pmcid>PMC10993740</pmcid><pubmed_authors>Shi L</pubmed_authors><pubmed_authors>Liang G</pubmed_authors><pubmed_authors>Gu X</pubmed_authors><pubmed_authors>Huang Z</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>Gao Y</pubmed_authors><pubmed_authors>Chen S</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Wu W</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predictive effect of estimated glomerular filtrate rate by creatinine or cystatin C on mortality in patients with coronary artery disease.</name><description>&lt;h4>Background&lt;/h4>Renal dysfunction leads to poor prognosis of patients with coronary artery disease (CAD). Current studies have reported the prognosis or mortality of various diseases using different estimated glomerular filtrate rate (eGFR) formulas, while the performance of these equations is unclear in CAD patients. We aim to evaluate the predict effect of creatinine-based eGFR (eGFRcr), cystatin C-based eGFR (eGFRcys), and both creatinine and cystatin C-based eGFR (eGFRcr-cys) in CAD patients.&lt;h4>Methods&lt;/h4>A total of 23,178 patients with CAD were included from CIN-II cohort study. The association of eGFRcr, eGFRcys and eGFRcr-cys with cardiovascular and all-cause mortality was detected by Cox regression analysis. The predictive effect of eGFRcr, eGFRcys and eGFRcr-cys on mortality </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2026-07-09T12:24:55.083Z</modification><creation>2026-07-09T11:17:14.374Z</creation></dates><accession>S-EPMC10993740</accession><cross_references><pubmed>38566467</pubmed><doi>10.1080/0886022X.2024.2327494</doi></cross_references></HashMap>