ArticleScientific reports2024
Prognostic value of red blood cell distribution width in sepsis induced cardiomyopathy patients.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Association between red blood cell distribution width-platelet ratio and mortality in patients with sepsis-induced coagulopathy from the MIMIC-IV database: a retrospective cohort study.BMC infectious diseases · 2026Article
- Frontiers in the diagnosis and treatment of sepsis-induced cardiomyopathy: current status and prospects.Frontiers in cardiovascular medicine · 2026Review
- Three distinct trajectories of red blood cell distribution width and their significant associations with mortality in sepsis patients: a group-based trajectory modeling study with validation.Frontiers in medicine · 2026Article
- Prognostic Value of Erythrogram Indicators and C-Reactive Protein Levels in Predicting Outcomes of Patients with Coronavirus Disease 2019.International journal of molecular sciences · 2025Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The potential association between red blood cell distribution width (RDW) at admission and prognosis in patients with sepsis-induced cardiomyopathy(SIC) remains uncertain. The purpose of this study was to explore the prognostic value of RDW on mortality in patients with SIC. Data for this retrospective study were obtained from the MIMIC IV2.2 database. We used propensity score matching (PSM) and Cox proportional hazards regression analysis to evaluate the main risk factors associated with mortality in SIC patients. This analysis was utilized to develop a predictive nomogram. To assess the predictive accuracy and clinical usefulness of the model, we employed the concordance index (C-index) and decision curve analysis. To define the high- and low-RDW groups among patients with SIC, we determined the optimal cut-off value by maximizing the Youden index. According to the screening criteria, we identified a cohort of 1051 patients diagnosed with SIC. When comparing the high-RDW group to the low-RDW group, it was found that the high-RDW group exhibited longer Los_ICU(4.5 days vs.3.8 days, respectively, P = 0.009) and higher mortality rates at 28 days (33.8% vs. 7.8%, respectively, P < 0.001). A nomogram model was created using matched patients which included various factors such as Age, RDW, LDH, CKMB, creatinine and the administration of β-blocker. The C-index predicting 28-day survival probability was 0.846. Decision curves analysis demonstrated that the inclusion of RDW in the model provided a greater net benefit compared to excluding RDW. The prognosis of patients with SIC can be predicted by the RDW value. The nomogram model provides a useful tool in identifying and managing SIC patients.
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