Details

Autor(en) / Beteiligte

• de Nooijer, Aline H.
• Pickkers, Peter
• Netea, Mihai G.
• Kox, Matthijs

Titel

Inflammatory biomarkers to predict the prognosis of acute bacterial and viral infections

Ist Teil von

• Journal of critical care, 2023-12, Vol.78, p.154360-154360, Article 154360

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2023

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• Mortality in acute infections is mostly associated with sepsis, defined as ‘life-threatening organ dysfunction caused by a dysregulated host response to infection’. It remains challenging to identify the patients with increased mortality risk due to the high heterogeneity in the dysregulated host immune response and disease progression. Biomarkers reflecting different pathways involved in the inflammatory response might improve prediction of mortality risk (prognostic enrichment) among patients with acute infections by reducing heterogeneity of the host response, as well as suggest novel strategies for patient stratification and treatment (predictive enrichment) through precision medicine approaches. The predictive value of inflammatory biomarkers has been extensively investigated in bacterial infections and the recent COVID-19 pandemic caused an increased interest in inflammatory biomarkers in this viral infection. However, limited research investigated whether the prognostic potential of these biomarkers differs between bacterial and viral infections. In this narrative review, we provide an overview of the value of various inflammatory biomarkers for the prediction of mortality in bacterial and viral infections. •Many biomarkers reflecting inflammatory pathways have been investigated for prognostication in patients with infections.•The predictive value for mortality of single inflammatory biomarkers is mostly moderate.•There are no distinct patterns in the prognostic performance of biomarkers between bacterial or viral infections.•There appears to be no relationship between the observed mortality rate and the prognostic value of biomarkers.