Validation of a Prediction Score for Drug-Resistant Microorganisms in Community-acquired Pneumonia

Adrian Ceccato1,2, Raul Mendez3,4, Santiago Ewig5

  • 1Centro de Investigacíon Biomédica en Red de Enfermedades Respiratorias (CB06/06/0028), Institut d'Investigacions Biomèdiques August Pi i Sunyer, Universidad de Barcelona, Barcelona, Spain.

Insights

The PES score helps predict uncommon pneumonia pathogens, but using it alone may lead to overtreatment. Its high negative predictive value makes it a useful first step in diagnostic strategies.

Area of Science:

  • Infectious Diseases
  • Pulmonology
  • Microbiology

Background:

  • Standard community-acquired pneumonia (CAP) treatment may not cover all causative pathogens.
  • The PES score (Pseudomonas aeruginosa, extended-spectrum β-lactamase-producing Enterobacteriaceae, and methicillin-resistant Staphylococcus aureus) was developed to identify these specific microorganisms.
  • Validating the PES score's utility in diverse patient cohorts is crucial for refining empirical antimicrobial therapy.

Purpose of the Study:

  • To validate the PES score's effectiveness in predicting PES microorganisms in two distinct CAP patient cohorts.
  • To assess the PES score's performance in both general CAP patients and those in an intensive care unit (ICU).

Main Methods:

  • Analysis of two prospective observational cohorts of CAP patients from Valencia and Mataró.
  • Inclusion of all Mataró cohort patients admitted to the ICU.
  • Calculation of the PES score and evaluation of its predictive accuracy using receiver operating characteristic curves and associated metrics.

Main Results:

  • In the Valencia cohort (n=1024), 6% had PES microorganisms; the PES score showed an AUC of 0.81.
  • In the Mataró ICU cohort (n=299), 5% had PES microorganisms; the PES score showed an AUC of 0.73.
  • A PES score cutoff of ≥5 demonstrated varying sensitivity and specificity across cohorts, with a cutoff of ≥4 being optimal for ICU patients (86% sensitivity).
  • Hypothetical application indicated high overtreatment rates (26-35%) and similar undertreatment rates.

Conclusions:

  • The PES score demonstrates good accuracy in predicting the need for broader empirical therapy in CAP.
  • Solely relying on the PES score may result in significant overtreatment of non-core pathogens.
  • Its high negative predictive value suggests the PES score can serve as an initial step in a comprehensive diagnostic approach for CAP.