Association between the albumin-to-lymphocyte ratio and short-term mortality in critically Ill pediatric patients: a retrospective cohort study and machine learning analysis - Report - MDSpire

Association between the albumin-to-lymphocyte ratio and short-term mortality in critically Ill pediatric patients: a retrospective cohort study and machine learning analysis

  • By

  • Kai Chen

  • Huiyan Tang

  • Yuanyuan Ye

  • Jie Chen

  • Jie Liu

  • May 25, 2026

  • 0 min

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Clinical Report: Link Between Albumin-to-Lymphocyte Ratio and Short-Term Mortality in Critically Ill Children

Overview

This study investigates the association between albumin-to-lymphocyte ratio (ALR) and short-term mortality in critically ill pediatric patients.

Background

Critically ill children often face rapid disease progression and high mortality rates due to various causes, including infections and trauma. Early risk stratification is crucial for optimizing resource allocation and improving outcomes in the PICU. The albumin-to-lymphocyte ratio (ALR) integrates nutritional and immune-inflammatory responses.

Data Highlights

ALR Tertile28-Day Mortality RateHazard Ratio (HR)95% Confidence Interval (CI)
Lowest (T1)Highest--
Intermediate (T2)Lowest0.550.42-0.74
Highest (T3)Lowest0.650.49-0.86

Key Findings

  • The overall 28-day mortality rate among the studied cohort was 4.53%.
  • The intermediate ALR tertile (T2) showed the lowest observed 28-day mortality.
  • In the fully adjusted Cox model, both intermediate and highest tertiles were associated with lower mortality risk compared to the lowest tertile.
  • Restricted cubic spline analysis indicated a significant non-linear association between ALR and mortality.
  • The XGBoost machine learning model achieved an area under the curve (AUC) of 0.835 for predicting 28-day mortality.

Clinical Implications

ALR may be utilized as a simple and cost-effective biomarker for early risk assessment in critically ill pediatric patients. Its integration into clinical practice could enhance prognostic evaluations in the PICU.

Conclusion

ALR presents a promising tool for early risk stratification in critically ill children, potentially aiding in the identification of patients at higher risk of mortality.

Related Resources & Content

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  5. Frontiers in Medicine — Lactate Dehydrogenase-to-Albumin Ratio Predicts 30-Day and 90-Day Mortality in Glucocorticoid-Treated ICU Patients With Pneumonia: A Secondary Analysis of a Multicenter Cohort
  6. Surviving Sepsis Campaign International Guidelines for the Management of Septic Shock and Sepsis-Associated Organ Dysfunction in Children | SCCM
  7. Role of pediatric risk of mortality (PRISM IV) score at 24 and 72 hours of hospitalization in predicting mortality among critically ill pediatric patients treated in PICU - PubMed
  8. Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights | Respiratory Research | Springer Nature Link

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