Hematologic and metabolic indices for predicting 28-day mortality in sepsis patients: a retrospective intensive care cohort study - Scorecard - MDSpire

Hematologic and metabolic indices for predicting 28-day mortality in sepsis patients: a retrospective intensive care cohort study

  • By

  • Sami Uyar

  • Hatice Eyiol

  • Ahmet Yılmaz

  • Azmi Eyiol

  • Yakup Alsancak

  • May 11, 2026

  • 0 min

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Clinical Scorecard: Predictive Value of Hematologic and Metabolic Markers for 28-Day Mortality in Patients with Sepsis: A Retrospective Study in an Intensive Care Setting

At a Glance

CategoryDetail
ConditionSepsis
Key MechanismsHematological and metabolic indices as prognostic biomarkers.
Target PopulationAdult patients with sepsis in intensive care units.
Care SettingIntensive care units of tertiary centers.

Key Highlights

  • Hematological and metabolic indices are associated with 28-day mortality in sepsis.
  • UA/Alb ratio showed the highest predictive performance (AUC: 0.968).
  • TyG index and RAR also significantly associated with mortality.
  • Non-survivors exhibited higher disease severity scores and distinct biochemical profiles.
  • Independent predictors of mortality include UA/Alb ratio and SAPS II score.

Guideline-Based Recommendations

Diagnosis

  • Utilize hematological and metabolic indices for early risk stratification in sepsis.

Management

  • Focus on hemodynamic stabilization and continuous monitoring in septic patients.

Monitoring & Follow-up

  • Regular assessment of hematological and metabolic biomarkers to predict outcomes.

Risks

  • Increased mortality associated with elevated RDW, uric acid, triglycerides, and glucose levels.

Patient & Prescribing Data

805 adult patients with sepsis admitted to ICUs.

Early identification of high-risk patients is crucial for improving outcomes.

Clinical Best Practices

  • Incorporate UA/Alb ratio in routine assessments for sepsis prognosis.
  • Monitor metabolic indices like TyG index for risk assessment.
  • Use established severity scores alongside novel biomarkers for comprehensive evaluation.

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