ArticleInternational journal of clinical practice2022
The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database.
Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 17 citations in OpenAlex.
- Association between hemoglobin-to-red blood cell distribution width ratio and 28-day all-cause mortality in patients with acute kidney injury: A cross-sectional study.The Journal of international medical research · 2026Article
- Article
- Article
- Predicting sepsis prognosis using deep learning with routine biomarkers.Frontiers in medicine · 2026Article
- Hematologic and metabolic indices for predicting 28-day mortality in sepsis patients: a retrospective intensive care cohort study.Frontiers in medicine · 2026Article
- Online Clinical Calculator for Predicting 28-Day Mortality in Older Adult Patients With Sepsis-Associated Encephalopathy: Retrospective Study Using MIMIC-IV.JMIR medical informatics · 2025Article
- Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism.Scientific reports · 2025Article
- Relationship between antibiotic use and short-term risk of mortality in patients with sepsis-associated encephalopathy: a study based on the medical information mart for intensive care database.BMC infectious diseases · 2025Observational
- Observational
- Association of hemoglobin-to-red blood cell distribution width ratio with mortality in critically Ill patients with heart failure and acute kidney injury: insights from the MIMIC-IV database.BMC cardiovascular disorders · 2025Observational
- Prognostic Impact of the Ratio of Hemoglobin to Red Blood Cell Distribution Width in Patients after Acute Decompensated Heart Failure.Internal medicine (Tokyo, Japan) · 2025Article
- Unveiling the Prognostic Power of HRR in ICU-Admitted COPD Patients: A MIMIC-IV Database Study.International journal of chronic obstructive pulmonary disease · 2025Article
- Predictive role of red blood cell distribution width and hemoglobin-to-red blood cell distribution width ratio for mortality in patients with COPD: evidence from NHANES 1999-2018.BMC pulmonary medicine · 2024Article
- Predictive model of risk factors for 28-day mortality in patients with sepsis or sepsis-associated delirium based on the MIMIC-IV database.Scientific reports · 2024Article
- Association Between Hemoglobin-to-Red Blood Cell Distribution Width Ratio and 30-Day Mortality in Patients with Acute Pancreatitis: Data from MIMIC-III and MIMIC-IV.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024Article
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- A simple nomogram for predicting the mortality of PICU patients with sepsis-associated encephalopathy: a multicenter retrospective study.Frontiers in neurology · 2024Article
- Article
- Association Between Hemoglobin-To-Red Cell Distribution Width Ratio and Mortality Risk in Sepsis-Induced Coagulopathy: A Retrospective Study Based on MIMIC-IV Database.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The hemoglobin-to-red cell distribution width ratio (HRR) is associated with the prognosis of sepsis-associated encephalopathy (SAE). This study aimed to determine the relationship between HRR and SAE and to clarify the possible mechanism of HRR as a prognostic factor for SAE. Methods: A multivariate Cox proportional-hazards regression model was used to assess the correlation between HRR and all-cause mortality. Piecewise linear regression and smooth-curve Cox proportional-hazards regression models were used to observe whether there was a nonlinear relationship between HRR and all-cause mortality in SAE. Results: This study included 8853 patients with SAE. A nonlinear relationship between HRR and SAE was observed through a two-segment regression model. The left inflection point for the HRR threshold was calculated to be 15.54, which was negatively correlated with all-cause mortality (HR = 0.83, 95% CI = 0.76-0.91, p < 0.001). Subgroup analyses revealed significant interactions between white blood cell count, glucose, and patients who received dialysis and HRR. The inverse correlation between HRR and SAE was more pronounced in patients who did not receive vasopressin (HR = 0.91, 95% CI = 0.87-0.96, p < 0.001) than in those who did receive vasopressin (HR = 0.94, 95% CI = 0.88-1.02, p=0.152) and was significantly more pronounced in patients without myocardial infarction (HR = 0.91, 95% CI = 0.88-0.96, p < 0.001) than in those with myocardial infarction (HR = 0.94, 95% CI = 0.87-1.02, p < 0.114). Conclusion: This large retrospective study found a nonlinear relationship between all-cause mortality and HRR in patients with SAE in intensive care units, with low HRR being inversely associated with increased all-cause mortality in patients with SAE.
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