<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9(11)</volume><submitter>Li S</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The association between red blood cell distribution width (RDW) and mortality risk in critically ill cardiovascular patients has not been well studied.&lt;h4>Objective&lt;/h4>To examine the association between RDW and 30-day all-cause and cause-specific mortality in critically ill cardiovascular patients.&lt;h4>Methods&lt;/h4>This cohort study included 47,266 patients from the eICU database. RDW was categorized as &lt;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.&lt;h4>Results&lt;/h4>A graded association between higher RDW and incremental risk of death was observed. Compared with RDW of &lt;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.&lt;h4>Conclusion&lt;/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.</pubmed_abstract><journal>Heliyon</journal><pagination>e22225</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10692801</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Red blood cell distribution width and mortality risk in critically ill cardiovascular patients.</pubmed_title><pmcid>PMC10692801</pmcid><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Li S</pubmed_authors><pubmed_authors>Liang X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Red blood cell distribution width and mortality risk in critically ill cardiovascular patients.</name><description>&lt;h4>Background&lt;/h4>The association between red blood cell distribution width (RDW) and mortality risk in critically ill cardiovascular patients has not been well studied.&lt;h4>Objective&lt;/h4>To examine the association between RDW and 30-day all-cause and cause-specific mortality in critically ill cardiovascular patients.&lt;h4>Methods&lt;/h4>This cohort study included 47,266 patients from the eICU database. RDW was categorized as &lt;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.&lt;h4>Results&lt;/h4>A graded association between higher RDW and incremental risk of death was observed. Compared with RDW of &lt;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.&lt;h4>Conclusion&lt;/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.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2025-04-04T09:39:55.725Z</modification><creation>2025-04-04T09:39:55.725Z</creation></dates><accession>S-EPMC10692801</accession><cross_references><pubmed>38045131</pubmed><doi>10.1016/j.heliyon.2023.e22225</doi></cross_references></HashMap>