Assessment of hemoglobin-to-red cell distribution width ratio to predict all-cause mortality in patients with sepsis: a retrospective cohort study from the MIMIC-IV database - Summary - MDSpire

Assessment of hemoglobin-to-red cell distribution width ratio to predict all-cause mortality in patients with sepsis: a retrospective cohort study from the MIMIC-IV database

  • By

  • Zhiwei Su

  • Yin Wen

  • Wenhong Zhong

  • Hongguang Ding

  • Hongke Zeng

  • July 13, 2026

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Objective:

To explore the link between the Hemoglobin-to-Red Cell Distribution Width Ratio (HRR) and the prognosis of sepsis patients.

Approach:
  • Study Design: Retrospective cohort study using the MIMIC-IV database to analyze clinical data of sepsis patients.
  • Patient Categorization: Patients were categorized into Low-score and High-score groups using X-tile.
  • Statistical Analysis: Propensity score matching (PSM) was used to control for confounding factors, with Kaplan-Meier curves and Cox proportional hazards model applied to assess 28-day mortality.
  • Predictive Capacity Assessment: ROC curve analysis and subgroup analysis were conducted to evaluate the predictive capacity of HRR.
Key Findings:
  • Out of 28,812 sepsis patients, 5,697 (19.77%) died within 28 days.
  • Post-PSM, the high-score group had a mortality rate of 20.23%, significantly lower than the low-score group's 25.72% (P < 0.05).
  • Cox regression analysis indicated the High-score group had a reduced 28-day mortality risk (HR, 0.73; 95% CI, 0.68–0.79).
  • A non-linear relationship between HRR and 28-day mortality was observed (P < 0.05), with a threshold HRR of 0.78 identified.
  • When HRR was below 0.78, each one-unit increase in HRR corresponded to a 26% decrease in the 28-day mortality rate (HR, 0.26; 95% CI, 0.19–0.38).
Interpretation:

Limitations:
  • The study is retrospective and relies on existing database data, which may have inherent biases.
  • The findings may not be generalizable to all sepsis populations outside the MIMIC-IV database.
Conclusion:

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