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

被引:106
作者
Menendez, Rosario [1 ]
Sahuquillo-Arce, Jose Miguel [2 ]
Reyes, Soledad
Martinez, Raquel
Polverino, Eva [3 ]
Cilloniz, Catia [3 ]
Cordoba, Juan Gines [2 ]
Montull, Beatriz
Torres, Antoni [3 ]
机构
[1] Hosp Univ Politecn La Fe, Dept Pneumol, Serv Neumol, Valencia 46026, Spain
[2] Hosp Univ Politecn La Fe, Microbiol Serv, Valencia, Spain
[3] Univ Barcelona, Inst Torax, Serv Pneumol, Hosp Clin,IDIBAPS,CIBERES, Barcelona, Spain
关键词
REACTIVE PROTEIN-LEVELS; LUNG; PROCALCITONIN; IMMUNITY;
D O I
10.1378/chest.11-1446
中图分类号
R4 [临床医学];
学科分类号
100218 [急诊医学];
摘要
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
引用
收藏
页码:1537 / 1545
页数:9
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