Association between red cell distribution width to albumin ratio and 28‑day mortality in older patients with sepsis: A retrospective cohort study

Red blood cell distribution width to albumin ratio (RAR) is a novel biomarker and its prognostic effect on critically ill patients with sepsis has not been extensively investigated. The objective of this study was to investigate the association between RAR and prognosis in older patients with sepsis. We performed a retrospective cohort study utilizing the eICU Collaborative Research Database to examine the relationship between the RAR and patient outcomes in sepsis cases. The primary endpoint was all-cause mortality within 28 days of intensive care unit admission. To explore this association, we employed multivariate regression analysis and conducted subgroup analyses. Additionally, receiver operating characteristic curves and Kaplan-Meier survival analysis were utilized to assess prognostic value and survival differences, respectively. The study included 17,321 eligible patients. It was observed that the median of RAR was notably higher in patients who did not survive compared to those who did at the 28-day mark. Participants were categorized into 3 groups based on their RAR values, revealing a significantly increased risk of 28-day mortality in the group with elevated RAR. The association between RAR and 28-day mortality risk appeared potentially nonlinear. Kaplan-Meier survival analysis indicated that those in the higher RAR group experienced increased 28-day mortality. Our study shows that RAR is significantly associated with poor clinical prognosis in sepsis. The higher RAR is an independent predictor of 28-day mortality in older patients with sepsis.

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Journal
Medicine
Published
2025-11-07
DOI
https://doi.org/10.1097/md.0000000000045835
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.05
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article

Association between red cell distribution width to albumin ratio and 28‑day mortality in older patients with sepsis: A retrospective cohort study

Husun Qian, Kai Hu
1 citations
Medicine
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Association between red cell distribution width to albumin ratio and 28‑day mortality in older patients with sepsis: A retrospective cohort study

Husun Qian, Kai Hu
article en
1 citations

Abstract

Red blood cell distribution width to albumin ratio (RAR) is a novel biomarker and its prognostic effect on critically ill patients with sepsis has not been extensively investigated. The objective of this study was to investigate the association between RAR and prognosis in older patients with sepsis. We performed a retrospective cohort study utilizing the eICU Collaborative Research Database to examine the relationship between the RAR and patient outcomes in sepsis cases. The primary endpoint was all-cause mortality within 28 days of intensive care unit admission. To explore this association, we employed multivariate regression analysis and conducted subgroup analyses. Additionally, receiver operating characteristic curves and Kaplan-Meier survival analysis were utilized to assess prognostic value and survival differences, respectively. The study included 17,321 eligible patients. It was observed that the median of RAR was notably higher in patients who did not survive compared to those who did at the 28-day mark. Participants were categorized into 3 groups based on their RAR values, revealing a significantly increased risk of 28-day mortality in the group with elevated RAR. The association between RAR and 28-day mortality risk appeared potentially nonlinear. Kaplan-Meier survival analysis indicated that those in the higher RAR group experienced increased 28-day mortality. Our study shows that RAR is significantly associated with poor clinical prognosis in sepsis. The higher RAR is an independent predictor of 28-day mortality in older patients with sepsis.

MedicineVol. 104(45)
Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN)
Openalex Percentile: Top 16%
Inflammatory Biomarkers in Disease Prognosis
1.05
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