{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(11)"],"submitter":["Li S"],"pubmed_abstract":["<h4>Background</h4>The association between red blood cell distribution width (RDW) and mortality risk in critically ill cardiovascular patients has not been well studied.<h4>Objective</h4>To examine the association between RDW and 30-day all-cause and cause-specific mortality in critically ill cardiovascular patients.<h4>Methods</h4>This cohort study included 47,266 patients from the eICU database. RDW was categorized as <13.0 %, 13.0-13.4 %, 13.5-13.9 %, 14.0-14.4 %, 14.5-14.9 %, ≥15.0 %. Logistic regression model was used to estimate adjusted odds ratios (ORs), and log-linear regression model was used to examine absolute rate differences (RDs) in mortality risk. Cubic spline curve was used to explore the nonlinear association between changes in RDW and mortality.<h4>Results</h4>A graded association between higher RDW and incremental risk of death was observed. Compared with RDW of <13.0 %, the adjusted odds ratios for all-cause mortality were 1.29 (95 % CI, 1.10 to 1.53) for RDW of 13.5-13.9 %, 1.57 (95 % CI, 1.33 to 1.85) for RDW of 14.0-14.4 %, 1.94 (95 % CI, 1.64 to 2.29) for RDW of 14.5-15.0 %, and 3.15 (95 % CI, 2.74 to 3.63) for RDW of ≥15.0 %. The absolute rate differences for RDW of 13.5-13.9 %, 14.0-14.4 %, 14.5-14.9 %, and ≥15.0 % indicated an additional 6, 13, 14, and 40 deaths per 1000 patients, respectively. RDW was associated with most, but not all, cause-specific deaths.<h4>Conclusion</h4>RDW was strongly associated with all-cause mortality and most cause-specific mortality in critically ill cardiovascular patients. These findings underscore the importance of this readily available hematologic indicator in mortality risk stratification."],"journal":["Heliyon"],"pagination":["e22225"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10692801"],"repository":["biostudies-literature"],"pubmed_title":["Red blood cell distribution width and mortality risk in critically ill cardiovascular patients."],"pmcid":["PMC10692801"],"pubmed_authors":["Zhang W","Li S","Liang X"],"additional_accession":[]},"is_claimable":false,"name":"Red blood cell distribution width and mortality risk in critically ill cardiovascular patients.","description":"<h4>Background</h4>The association between red blood cell distribution width (RDW) and mortality risk in critically ill cardiovascular patients has not been well studied.<h4>Objective</h4>To examine the association between RDW and 30-day all-cause and cause-specific mortality in critically ill cardiovascular patients.<h4>Methods</h4>This cohort study included 47,266 patients from the eICU database. RDW was categorized as <13.0 %, 13.0-13.4 %, 13.5-13.9 %, 14.0-14.4 %, 14.5-14.9 %, ≥15.0 %. Logistic regression model was used to estimate adjusted odds ratios (ORs), and log-linear regression model was used to examine absolute rate differences (RDs) in mortality risk. Cubic spline curve was used to explore the nonlinear association between changes in RDW and mortality.<h4>Results</h4>A graded association between higher RDW and incremental risk of death was observed. Compared with RDW of <13.0 %, the adjusted odds ratios for all-cause mortality were 1.29 (95 % CI, 1.10 to 1.53) for RDW of 13.5-13.9 %, 1.57 (95 % CI, 1.33 to 1.85) for RDW of 14.0-14.4 %, 1.94 (95 % CI, 1.64 to 2.29) for RDW of 14.5-15.0 %, and 3.15 (95 % CI, 2.74 to 3.63) for RDW of ≥15.0 %. The absolute rate differences for RDW of 13.5-13.9 %, 14.0-14.4 %, 14.5-14.9 %, and ≥15.0 % indicated an additional 6, 13, 14, and 40 deaths per 1000 patients, respectively. RDW was associated with most, but not all, cause-specific deaths.<h4>Conclusion</h4>RDW was strongly associated with all-cause mortality and most cause-specific mortality in critically ill cardiovascular patients. These findings underscore the importance of this readily available hematologic indicator in mortality risk stratification.","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Nov","modification":"2025-04-04T09:39:55.725Z","creation":"2025-04-04T09:39:55.725Z"},"accession":"S-EPMC10692801","cross_references":{"pubmed":["38045131"],"doi":["10.1016/j.heliyon.2023.e22225"]}}