Antibiotics (Mar 2021)

Prognostic Value of Procalcitonin and C-Reactive Protein in 1608 Critically Ill Patients with Severe Influenza Pneumonia

  • Raquel Carbonell,
  • Gerard Moreno,
  • Ignacio Martín-Loeches,
  • Frederic Gomez-Bertomeu,
  • Carolina Sarvisé,
  • Josep Gómez,
  • María Bodí,
  • Emili Díaz,
  • Elisabeth Papiol,
  • Sandra Trefler,
  • Mercedes Nieto,
  • Angel Estella,
  • María Jiménez Herrera,
  • Pablo Vidal Cortés,
  • Juan José Guardiola,
  • Jordi Solé-Violán,
  • Alejandro Rodríguez

DOI
https://doi.org/10.3390/antibiotics10040350
Journal volume & issue
Vol. 10, no. 4
p. 350

Abstract

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Background: Procalcitonin (PCT) and C-Reactive protein (CRP) are well-established sepsis biomarkers. The association of baseline PCT levels and mortality in pneumonia remains unclear, and we still do not know whether biomarkers levels could be related to the causative microorganism (GPC, GNB). The objective of this study is to address these issues. Methods: a retrospective observational cohort study was conducted in 184 Spanish ICUs (2009–2018). Results: 1608 patients with severe influenza pneumonia with PCT and CRP available levels on admission were included, 1186 with primary viral pneumonia (PVP) and 422 with bacterial Co-infection (BC). Those with BC presented higher PCT levels (4.25 [0.6–19.5] versus 0.6 [0.2–2.3]ng/mL) and CRP (36.7 [20.23–118] versus 28.05 [13.3–109]mg/dL) as compared to PVP (p versus 0.53 [0.19–2.1], p = 0.001) and BC (6.9 [0.93–28.5] versus 3.8 [0.5–17.37], p = 0.039). However, no significant association with mortality was observed in the multivariate analysis. The PCT levels (ng/mL) were significantly higher in polymicrobial infection (8.4) and GPC (6.9) when compared with GNB (1.2) and Aspergillus (1.7). The AUC-ROC of PCT for GPC was 0.67 and 0.32 for GNB. The AUROC of CRP was 0.56 for GPC and 0.39 for GNB. Conclusions: a single PCT/CRP value at ICU admission was not associated with mortality in severe influenza pneumonia. None of the biomarkers have enough discriminatory power to be used for predicting the causative microorganism of the co-infection.

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