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Biomarkers troponin and procalcitonin in addition to CRB-65 enhance risk stratification in patients with community-acquired pneumonia

  • 0University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany.
Erj Open Research +

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December 3, 2024

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December 3, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Community-acquired pneumonia (CAP) severity can be better predicted using the CRB-65 score combined with troponin T high-sensitive (TnT-hs) and procalcitonin (PCT) biomarkers. This improves prediction of death or intensive care unit (ICU) admission in CAP patients.

Area Of Science

  • Pulmonary Medicine
  • Infectious Diseases
  • Biomarker Research

Background

  • Community-acquired pneumonia (CAP) is a major global cause of mortality.
  • Approximately 10% of hospitalized CAP patients require intensive care unit (ICU) admission.
  • Accurate severity prediction is crucial for timely intervention in CAP.

Purpose Of The Study

  • To enhance the predictive capability of the CRB-65 score for CAP severity.
  • To evaluate eight candidate biomarkers for predicting CAP outcomes.
  • To refine risk prediction models by combining biomarkers with the CRB-65 score.

Main Methods

  • Machine-learning approach applied to 800 samples from the German CAPNETZ network.
  • Evaluation of eight biomarkers: TnT-hs, PCT, NT-proBNP, angiopoietin-2, copeptin, endothelin-1, lipocalin-2, MR-proADM.
  • Combined biomarkers with CRB-65 score to predict death or ICU admission within 28 days.

Main Results

  • Elevated biomarker levels were associated with adverse outcomes.
  • Troponin T high-sensitive (TnT-hs) showed the highest individual predictive performance (AUC=0.74), followed by PCT (AUC=0.73).
  • The combined model (CRB-65, TnT-hs, PCT) achieved an AUC of 0.77, significantly improving upon CRB-65 alone (AUC=0.67).

Conclusions

  • Augmenting the CRB-65 score with TnT-hs and PCT improves prediction of death or ICU admission in hospitalized CAP patients.
  • This enhanced risk score offers better prognostic accuracy for CAP.
  • Further validation in diverse CAP cohorts and prospective studies is recommended.

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