TY - JOUR
T1 - Plasma cytokine profile on admission related to aetiology in community-acquired pneumonia
AU - Burgmeijer, Eduard H.
AU - Duijkers, Ruud
AU - Lutter, René
AU - Bonten, Marc J. M.
AU - Schweitzer, Valentijn A.
AU - Boersma, Wim G.
PY - 2019/10
Y1 - 2019/10
N2 - Background: Potentially unnecessary antibiotic use for community-acquired pneumonia (CAP) contributes to selection of antibiotic-resistant pathogens. Cytokine expression at the time that treatment is started may assist in identifying patients not requiring antibiotics. We determined plasma cytokine patterns in patients retrospectively categorized as strict viral, pneumococcal or combined viral-bacterial CAP. Objective: To investigate whether cytokine-based prediction models can be used to differentiate strict viral CAP from other aetiologies at admission. Methods: From 344 hospitalized CAP patients, 104 patients were categorized as viral CAP (n = 17), pneumococcal CAP (n = 48) and combined bacterial-viral CAP (n = 39). IL-6, IL-10, IL-27, IFN-γ and C-reactive protein (CRP) were determined on admission in plasma. Prediction of strict viral aetiology was explored with two multivariate regression models and ROC curves. Results: Viral pneumonia was predicted by logistic regression using multiple cytokine levels (IL-6, IL-27 and CRP) with an AUC of 0.911 (95% CI: 0.852-0.971, P <.001). For the same patients the AUC of CRP was 0.813 (95% CI: 0.728-0.898, P <.001). Conclusions: This study demonstrated differences in cytokine expression in selected CAP patients between viral and bacterial aetiology. Prospective validation studies are warranted.
AB - Background: Potentially unnecessary antibiotic use for community-acquired pneumonia (CAP) contributes to selection of antibiotic-resistant pathogens. Cytokine expression at the time that treatment is started may assist in identifying patients not requiring antibiotics. We determined plasma cytokine patterns in patients retrospectively categorized as strict viral, pneumococcal or combined viral-bacterial CAP. Objective: To investigate whether cytokine-based prediction models can be used to differentiate strict viral CAP from other aetiologies at admission. Methods: From 344 hospitalized CAP patients, 104 patients were categorized as viral CAP (n = 17), pneumococcal CAP (n = 48) and combined bacterial-viral CAP (n = 39). IL-6, IL-10, IL-27, IFN-γ and C-reactive protein (CRP) were determined on admission in plasma. Prediction of strict viral aetiology was explored with two multivariate regression models and ROC curves. Results: Viral pneumonia was predicted by logistic regression using multiple cytokine levels (IL-6, IL-27 and CRP) with an AUC of 0.911 (95% CI: 0.852-0.971, P <.001). For the same patients the AUC of CRP was 0.813 (95% CI: 0.728-0.898, P <.001). Conclusions: This study demonstrated differences in cytokine expression in selected CAP patients between viral and bacterial aetiology. Prospective validation studies are warranted.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85070757259&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/31310442
U2 - https://doi.org/10.1111/crj.13062
DO - https://doi.org/10.1111/crj.13062
M3 - Article
C2 - 31310442
SN - 1752-6981
VL - 13
SP - 605
EP - 613
JO - clinical respiratory journal
JF - clinical respiratory journal
IS - 10
ER -