ArticleJournal of intensive medicine2023
Red blood cell distribution width improves the prediction of 28-day mortality for patients with sepsis-induced acute kidney injury: A retrospective analysis from MIMIC-IV database using propensity score matching.
Article in Journal of intensive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- The incremental prognostic effect of red blood cell distribution width in 28-day mortality among critically ill patients with HFpEF.American heart journal plus : cardiology research and practice · 2026Article
- An interpretable machine learning model for early prediction of subsequent observed CRRT initiation in patients with sepsis-associated acute kidney injury.Clinical and experimental medicine · 2026Observational
- Systemic Inflammatory Response Index (SIRI) Among Patients With Sepsis: A Retrospective Observational Study.Cureus · 2026Article
- Prognostic value of red blood cell distribution width in traumatic brain injury: A mediation and deep learning analysis.PloS one · 2026Observational
- Acute kidney injury after lung transplantation: prediction, prevention, and management.Renal failure · 2025Review
- Predicting acute kidney injury in children with sepsis using red blood cell distribution and biomarkers (PCT, IL-6, CRP, and cystatin C).Journal of medical biochemistry · 2025Article
- Article
- Prognostic Value of SIRI in Sepsis: A Retrospective Study and Machine Learning-Based Model Development.Journal of inflammation research · 2025Article
- Acute Kidney Injury Associated with the Concomitant Use of Vancomycin and Piperacillin-Tazobactam.Drug design, development and therapy · 2025Review
- Combined effect of anion gap and red cell distribution width on the risk of acute kidney injury after cardiac surgery.Journal of cardiothoracic surgery · 2024Article
- Predictive Value of the Systemic Immune-Inflammation Index in the 28-Day Mortality for Patients with Sepsis-Associated Acute Kidney Injury and Construction of a Prediction Model.Journal of inflammation research · 2024Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The predictive value of red blood cell distribution width (RDW) for mortality in patients with sepsis-induced acute kidney injury (SI-AKI) remains unclear. The present study aimed to investigate the potential association between RDW at admission and outcomes in patients with SI-AKI. Methods: The Medical Information Mart for Intensive Care (MIMIC)-IV (version 2.0) database, released in June of 2022, provides medical data of SI-AKI patients to conduct our related research. Based on propensity score matching (PSM) method, the main risk factors associated with mortality in SI-AKI were evaluated using Cox proportional hazards regression analysis to construct a predictive nomogram. The concordance index (C-index) and decision curve analysis were used to validate the predictive ability and clinical utility of this model. Patients with SI-AKI were classified into the high- and low-RDW groups according to the best cut-off value obtained by calculating the maximum value of the Youden index. Results: A total of 7574 patients with SI-AKI were identified according to the filter criteria. Compared with the low-RDW group, the high-RDW group had higher 28-day (9.49% Conclusion: The present findings demonstrated the importance of RDW, which improved the predictive ability of the nomogram model for the probability of survival in patients with SI-AKI.
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