2025/07/12 by Julien Dessajan, Michaël Thy, Marc Doman +26 · 1 voice
Medicine · Biochemistry, Genetics and Molecular Biology · #Nosocomial Infections in ICU #Antibiotic Resistance in Bacteria #Antibiotics Pharmacokinetics and Efficacy
paper · pdf · doi:10.1186/s13054-025-05503-7
openalex publication_date 2025/07/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
BACKGROUND: Pneumonia + panel (FA-PP) offers rapid pathogen identification, its effectiveness during antibiotic treatment and in predicting clinical outcomes remains unclear. METHODS: We conducted a prospective observational study across four ICUs from April 2022 to June 2024, including patients with ventilator-associated pneumonia (VAP) or ventilated hospital-acquired pneumonia (vHAP). Bacterial loads were monitored on days 0, 1, 3, 7 and 10 and 3 days after stopping antibiotics, using endotracheal aspirates (ETAs) analyzed by FA-PP and standard cultures. The main objective was to assess the correlation between quantitative changes in FA-PP results and clinical success. Quantitative changes over time were analyzed using mixed ordinal logistic regression. RESULTS: Of the 93 patients enrolled, 60.2% (n = 56) achieved clinical success, while the ICU mortality rate was 25.8% (n = 24). Although FA-PP and culture quantification results declined over time (p < 0.0001), neither method consistently correlated with clinical success (non-significant for both). At diagnosis, FA-PP showed excellent diagnostic performance compared to culture, with a sensitivity of 94% [95% CI: 87-97] and a specificity of 98% [95% CI: 97-98]. Quantitative concordance improved with higher DNA copies, from 22.9% at the culture threshold at 10⁴ DNA copies/ml in FA-PP to 100% at ≥ 10⁷ DNA copies/ml. Diagnostic performance remained stable during antibiotic treatment with 94% sensitivity and 95% specificity in follow-up ETAs. CONCLUSIONS: FA-PP provides rapid and accurate diagnostics, but repeated testing did not predict clinical outcomes during treatment, however our small sample size limited the study power.