{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["104(43)"],"submitter":["Ying Y"],"pubmed_abstract":["While the albumin-corrected anion gap (ACAG) has established prognostic utility across multiple disease states, its association with both short- and long-term mortality in patients with gastrointestinal bleeding (GIB) remains indeterminate. This study seeks to systematically evaluate the relationship between ACAG and mortality outcomes in this patient population. We performed a retrospective cohort study using data from the Medical Information Mart for Intensive Care IV (version 3.1, which includes emergency department and ICU admissions at Beth Israel Deaconess Medical Center from 2008 to 2022). Critically ill patients with GIB were included to evaluate the prognostic value of ACAG for mortality risk. Feature selection was conducted using the Boruta algorithm, followed by risk stratificat"],"journal":["Medicine"],"pagination":["e45450"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12558345"],"repository":["biostudies-literature"],"pubmed_title":["Association between albumin-corrected anion gap and mortality in critically ill patients with gastrointestinal bleeding: A retrospective cohort study."],"pmcid":["PMC12558345"],"pubmed_authors":["Yang X","Lv L","Ying S","Gao L","Ying Y","Yuan X"],"additional_accession":[]},"is_claimable":false,"name":"Association between albumin-corrected anion gap and mortality in critically ill patients with gastrointestinal bleeding: A retrospective cohort study.","description":"While the albumin-corrected anion gap (ACAG) has established prognostic utility across multiple disease states, its association with both short- and long-term mortality in patients with gastrointestinal bleeding (GIB) remains indeterminate. This study seeks to systematically evaluate the relationship between ACAG and mortality outcomes in this patient population. We performed a retrospective cohort study using data from the Medical Information Mart for Intensive Care IV (version 3.1, which includes emergency department and ICU admissions at Beth Israel Deaconess Medical Center from 2008 to 2022). Critically ill patients with GIB were included to evaluate the prognostic value of ACAG for mortality risk. Feature selection was conducted using the Boruta algorithm, followed by risk stratificat","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-06-05T05:30:02.421Z","creation":"2026-05-13T14:29:17.817Z"},"accession":"S-EPMC12558345","cross_references":{"pubmed":["41137265"],"doi":["10.1097/MD.0000000000045450"]}}