{"doi":"10.4068/cmj.2023.59.1.87","title":"Association between Decreased Estimated Glomerular Filtration Rates and Long-term Mortality in Korean Patients with Acute Myocardial Infarction","abstract":"A reduced estimated glomerular filtration rate (eGFR) is a predictor for mortality in patients with acute myocardial infarction (AMI).This study aimed to compare mortality according to the GFR and eGFR calculation methods during long-term clinical follow-ups.Using the Korean Acute Myocardial Infarction Registry-National Institutes of Health Data, 13,021 patients with AMI were included in this study.Patients were divided into the surviving (n=11,503, 88.3%) and deceased (n=1,518, 11.7%) groups.Clinical characteristics, cardiovascular risk factors, and 3-year mortality-related factors were analyzed.eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations.The surviving group was younger than the deceased group (62.612.4 vs. 73.610.5 years, p0.001), whereas the deceased group had higher hypertension and diabetes prevalences than the surviving group.A high Killip class was more frequently observed in the deceased group.eGFR was significantly lower in the deceased group (82.224.1 vs. 55.228.6 ml/min/1.73m 2 , p0.001).Multivariate analysis revealed that low eGFR was an independent risk factor for mortality during the 3-year follow-up.The CKD-EPI equation was more useful for predicting mortality than the MDRD equation (0.766; 95% confidence interval [CI], 0.753-0.779vs. 0.738; 95% CI, 0.724-0.753;p=0.001).Decreased renal function was a significant predictor of mortality after 3 years in patients with AMI.The CKD-EPI equation was more useful for predicting mortality than the MDRD equation.","journal":"Chonnam Medical Journal","year":2023,"id":378341,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8829,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1142274,"name":"Seong-Woo Choi","orcid":"0000-0002-6150-3934","position":1,"is_corresponding":false},{"id":228977,"name":"Myung Ho Jeong","orcid":"0000-0003-4173-1494","position":2,"is_corresponding":false},{"id":1142275,"name":"Eun Hui Bae","orcid":"0000-0003-1727-2822","position":3,"is_corresponding":false},{"id":1142276,"name":"Jong Park","orcid":"0000-0003-3353-3543","position":4,"is_corresponding":false},{"id":1063652,"name":"So Yeon Ryu","orcid":"0000-0001-5006-1192","position":5,"is_corresponding":false},{"id":1063637,"name":"Mi Ah Han","orcid":"0000-0003-1213-6952","position":6,"is_corresponding":false},{"id":776702,"name":"Min Ho Shin","orcid":null,"position":7,"is_corresponding":false},{"id":1142669,"name":"Mi Sook Oh","orcid":null,"position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-19T01:16:44.708019Z","pmid":"36794247","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}