Serial lactate–procalcitonin interaction identifies a high-risk phenotype in 24-h conditional survivors of post-cardiac arrest syndrome: a CART-based analysis - Report - MDSpire

Serial lactate–procalcitonin interaction identifies a high-risk phenotype in 24-h conditional survivors of post-cardiac arrest syndrome: a CART-based analysis

  • By

  • Ali Muhittin Tasdogan

  • Stemi Taha Polat

  • Emin Erdem Kaya

  • Ufuk Ozgur Balica

  • Yavuz Saygili

  • July 1, 2026

  • 0 min

Share

Identification of a High-Risk Phenotype in 24-Hour Conditional Survivors of PCAS

Overview

This study identifies a high-risk phenotype in 24-hour conditional survivors of post-cardiac arrest syndrome (PCAS) through the interaction of serial lactate and procalcitonin levels.

Background

Post-cardiac arrest syndrome (PCAS) is associated with high mortality and morbidity. Traditional biomarkers, such as lactate and procalcitonin, have shown potential in predicting outcomes, but their combined effects in a dynamic context remain underexplored. This study aims to enhance risk stratification in this critically ill population.

Data Highlights

MeasurementTime PointSignificance
LactateT0Baseline
LactateT48OR: 1.92; 95% CI: 1.22–3.01, p = 0.003
PCTT24High-risk phenotype identified
In-hospital mortality rate-70.9%
CART model calibration-Brier score: 0.14

Key Findings

  • The in-hospital mortality rate among 24-hour conditional survivors of PCAS was 70.9%.
  • Non-survivors had higher rates of non-shockable rhythms and longer CPR durations.
  • Persistent hyperlactatemia at 48 hours was an independent predictor of mortality (OR: 1.92).
  • The CART analysis identified a high-risk phenotype with T0 lactate >5 mmol/L and T24 PCT > 5.5 ng/mL, associated with a 92% mortality risk.
  • The CART model demonstrated excellent calibration and comparable discrimination to logistic regression.

Clinical Implications

Monitoring serial lactate and procalcitonin levels can aid in identifying high-risk patients in the post-cardiac arrest setting.

Conclusion

The integration of lactate and procalcitonin kinetics through CART analysis provides a tool for identifying high-risk patients among 24-hour conditional survivors of PCAS.

Related Resources & Content

  1. conexiant, Conexiant, 2023 -- Lactate Biomarker May Predict Outcomes in Cardiogenic Shock
  2. Clinical Research in Cardiology, 2022 -- Clinical Features, Etiologies, and Outcome Predictors in Patients Experiencing In-Hospital Cardiac Arrest: Findings from the SURVIVE-ARREST Study
  3. Intensive Care Medicine, 2025 -- Diverse Clinical Profiles and Phenotyping in Post-Cardiac Arrest Brain Injury: A Tailored Approach is Essential
  4. Part 11: Post-Cardiac Arrest Care | American Heart Association CPR & First Aid, 2025 -- Post-Cardiac Arrest Care
  5. European Resuscitation Council and European Society of Intensive Care Medicine Guidelines 2025 Post-Resuscitation Care, 2025 -- Post-Resuscitation Care
  6. Lactate and pH as Independent Biomarkers for Prognosticating Meaningful Post-out-of-Hospital Cardiac Arrest Outcomes: A Systematic Review and Meta-Analysis - PMC, 2025 -- Lactate and pH as Independent Biomarkers
  7. Infection — Longitudinal Analysis and Characterization of Sepsis Phenotypes Using Routine Clinical Data in Critically Ill Patients: A Retrospective Latent Profile Study
  8. AHA Guidelines on Post-Cardiac Arrest Care
  9. ERC/ESICM Guidelines on Post-Resuscitation Care
  10. Lactate and pH as Independent Biomarkers for Prognosticating Meaningful Post-out-of-Hospital Cardiac Arrest Outcomes: A Systematic Review and Meta-Analysis - PMC
  11. Innate Immune Response After Cardiac Arrest (INNATUS): A Study Protocol for an Observational Single‐Center Pilot Study - Seppä - 2025 - Acta Anaesthesiologica Scandinavica - Wiley Online Library
  12. The dynamic pathophysiology of post cardiac arrest brain injury: "time is brain" - PubMed

Original Source(s)

Related Content