4.7 Article

Cytokine Activation Patterns and Biomarkers Are Influenced by Microorganisms in Community-Acquired Pneumonia

Journal

CHEST
Volume 141, Issue 6, Pages 1537-1545

Publisher

ELSEVIER
DOI: 10.1378/chest.11-1446

Keywords

-

Funding

  1. Centro Investigacion Biomedica en Red de Enfermedades Respatorias, an initiative of Instituto de Salud Carlos III
  2. Sociedad Espanola de Neumologia y Cirugia Toracica [2003]
  3. Fond de Investigacion Sanitario [PI041136, PI080727]
  4. IMPULSA
  5. Brahms

Ask authors/readers for more resources

Background: The inflammatory response in community-acquired pneumonia (CAP) depends on the host and on the challenge of the causal microorganism. Here, we analyze the patterns of inflammatory cytokines, procalcitonin (PCT), and C-reactive protein (CRP) in order to determine their diagnostic value. Methods: This was a prospective study of 658 patients admitted with CAP. PCT and CRP were analyzed by immunoluminometric and immunoturbidimetric assays. Cytokines (tumor necrosis factor-alpha [TNF-alpha], IL-1 beta, IL-6, IL-8, and IL-10) were measured using enzyme immunoassay. Results: The lowest medians of CRP, PCT, TNF-alpha, and IL-6 were found in CAP of unknown cause, and the highest were found in patients with positive blood cultures. Different cytokine profiles and biomarkers were found depending on cause: atypical bacteria (lower PCT and IL-6), viruses (lower PCT and higher IL-10), Enterobacteriaceae (higher IL-8); Streptococcus pneumoniae (high PCT), and Legionella pneumophila (higher CRP and TNF-alpha). PCT >= 0.36 mg/dL to predict positive blood cultures showed sensitivity of 85%, specificity of 42%, and negative predictive value (NPV) of 98%, whereas a cutoff of <= 0.5 mg/dL to predict viruses or atypicals vs bacteria showed sensitivity of 89%/81%, specificity of 68%/68%, positive predictive value of 12%/22%, and NPV of 99%/97%. In a multivariate Euclidean distance model, the lowest inflammatory expression was found in unknown cause and the highest was found in L pneumophila, S pneumoniae, and Enterobacteriaceae. Atypical bacteria exhibit an inflammatory pattern closer to that of viruses. Conclusions: Different inflammatory patterns elicited by different microorganisms may provide a useful tool for diagnosis. Recognizing these patterns provides additional information that may facilitate a broader understanding of host inflammatory response to microorganisms. CHEST 2012; 141(6):1537-1545

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available