ArticleScientific reports2020
Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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40 citing papers in PubMed, 61 citations in OpenAlex.
- 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
- Integrative multimodal hybrid data fusion for mortality prediction.Scientific reports · 2026Article
- Article
- Association between hemoglobin/red blood cell distribution width ratio and acute kidney injury in sepsis and heart failure patients.PloS one · 2026Article
- Insights into the Use of Erythrocyte and Platelet Distribution Indices for Assessing the Extent of Coronary Lesions.Medicina (Kaunas, Lithuania) · 2025Observational
- Association between the red cell distribution width-to-platelet ratio and 30-day all-cause mortality among patients with acute respiratory failure: a retrospective analysis of the MIMIC-IV database.BMC pulmonary medicine · 2025Article
- Association between mean corpuscular hemoglobin concentration and mortality in ICU patients with acute kidney injury: a retrospective multicenter cohort study.European journal of medical research · 2025Article
- Association of red blood cell distribution width with short- and long-term all-cause mortality in patients with acute pancreatitis and sepsis.BMC gastroenterology · 2025Article
- Red cell distribution width to albumin ratio (RAR) as a prognostic marker for mortality in critical care patients: a large-scale retrospective cohort study.European journal of medical research · 2025Article
- Clustering analysis of multi-site electronic health records reveals distinct subphenotypes in stage-1 acute kidney injury.Communications medicine · 2025Article
- 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
- Machine learning models for mortality prediction in critically ill patients with acute pancreatitis-associated acute kidney injury.Clinical kidney journal · 2024Article
- Development of a Simple Scoring System for Predicting Discharge Safety from the Medical ICU to Low-Acuity Wards: The Role of the Sequential Organ Failure Assessment Score, Albumin, and Red Blood Cell Distribution Width.Journal of personalized medicine · 2024Article
- Early Identification of Sepsis-Induced Acute Kidney Injury by Using Monocyte Distribution Width, Red-Blood-Cell Distribution, and Neutrophil-to-Lymphocyte Ratio.Diagnostics (Basel, Switzerland) · 2024Article
- Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning.Journal of clinical monitoring and computing · 2024Article
- Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients.ESC heart failure · 2024Article
- Red Blood Cell Distribution Width Predicts Mortality in Hospitalized Patients with Severe Fever with Thrombocytopenia Syndrome.Journal of inflammation research · 2024Article
- Red cell distribution width and mortality in older patients with frailty in the emergency department.BMC emergency medicine · 2023Article
- Association and prediction of red blood cell distribution width to albumin ratio in all-cause mortality of acute kidney injury in critically ill patients.Frontiers in medicine · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney injury (AKI) is a serious complication in the intensive care unit (ICU), which may increase the mortality of critically ill patients. The red blood cell distribution width (RDW) has proved useful as a predictor of short-term prognosis in critically ill patients with AKI. However, it remains unknown whether RDW has a prognostic value of long-term all-cause mortality in these patients. The data of 18279 critically ill patients with AKI at first-time hospital admission were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The tertiles of the RDW values were used to divide subjects into three groups, namely RDW < 13.6% for the low RDW group, 13.6% ≤ RDW < 15.2% for the middle RDW group and RDW ≥ 15.2% for the high RDW group. Demographic data, mortality, 4-year survival time and severity scale scores were compared among groups. The Kaplan-Meier analysis and the Cox regression analysis were performed to assess the impact of RDW on all-cause mortality in AKI patients. The receiver operating characteristic (ROC) curve analysis was done to evaluate the prognostic value of RDW on the long-term outcome of critically ill patients with AKI. The median age of the enrolled subjects was 65.6 years. AKI patients with a higher RDW value had significantly shorter survival time and higher death rate. By the Kaplan-Meier analysis, patients in the higher RDW group presented significantly shorter survival time and higher death rate. The Cox regression model indicated RDW as an independent risk factor of all-cause mortality of AKI patients (HR 1.219, 95% CI, 1.211 to 1.228). By the ROC analysis, RDW appeared more efficient in predicting long-term prognosis as compared with conventional severity scales. The AUC of RDW (95% CI, 0.712 to 0.725) was significantly higher than other severity scale scores. In conclusion, RDW is positively correlated to survival time of 4-year follow-up in critically ill patients with AKI, and RDW is an independent prognostic factor of long-term outcomes of these patients.
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