{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(1)"],"submitter":["Jian L"],"pubmed_abstract":["<h4>Background</h4>The anion gap (AG) has been linked to the prognosis of many cardiovascular disorders. However, the correlation between albumin-corrected anion gap (ACAG) and 30 d all-cause mortality of intensive care patients with acute myocardial infarction (AMI) is unclear. Furthermore, owing to the lack of studies, it is also unknown whether ACAG is more accurate than AG in predicting the mortality of AMI.<h4>Methods</h4>The Medical Information Mart for Intensive Care IV (MIMIC IV) dataset was used to provide patient data in this retrospective cohort study. ACAG is computed using the formulae: [4.4-{albumin (g/dl)}] × 2.5 + AG. The primary outcome was 30 d all-cause mortality intensive care patients with AMI. To explore the prognostic worthiness of ACAG, the receiver operating charac"],"journal":["BMC cardiovascular disorders"],"pagination":["211"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10148465"],"repository":["biostudies-literature"],"pubmed_title":["Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database."],"pmcid":["PMC10148465"],"pubmed_authors":["Jian L","Zhou Q","Zhang Z","Ge L","Xu H","Duan X"],"additional_accession":[]},"is_claimable":false,"name":"Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database.","description":"<h4>Background</h4>The anion gap (AG) has been linked to the prognosis of many cardiovascular disorders. However, the correlation between albumin-corrected anion gap (ACAG) and 30 d all-cause mortality of intensive care patients with acute myocardial infarction (AMI) is unclear. Furthermore, owing to the lack of studies, it is also unknown whether ACAG is more accurate than AG in predicting the mortality of AMI.<h4>Methods</h4>The Medical Information Mart for Intensive Care IV (MIMIC IV) dataset was used to provide patient data in this retrospective cohort study. ACAG is computed using the formulae: [4.4-{albumin (g/dl)}] × 2.5 + AG. The primary outcome was 30 d all-cause mortality intensive care patients with AMI. To explore the prognostic worthiness of ACAG, the receiver operating charac","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Apr","modification":"2025-04-22T08:44:56.623Z","creation":"2025-04-05T22:43:38.036Z"},"accession":"S-EPMC10148465","cross_references":{"pubmed":["37118662"],"doi":["10.1186/s12872-023-03200-3"]}}