TY - JOUR
T1 - Risk factors for mortality in patients with Pseudomonas aeruginosa pneumonia
T2 - Clinical impact of mucA gene mutation
AU - Jung, In Young
AU - Jeong, Su Jin
AU - Lee, Kang Mu
AU - Ahn, Jin Young
AU - Ku, Nam Su
AU - Han, Sang Hoon
AU - Choi, Jun Yong
AU - Yong, Dongeun
AU - Yoon, Sang Sun
AU - Song, Young Goo
AU - Jeong, Seok Hoon
AU - Kim, June Myung
AU - Lee, Kyungwon
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2018/7
Y1 - 2018/7
N2 - Objectives: Pseudomonas aeruginosa frequently colonizes the lungs of chronic obstructive pulmonary disease (COPD) patients. Mucoid conversion is a hallmark of chronic P. aeruginosa infection, which is mediated by mucA gene mutations. The aim of this study is to identify predictive factors for mortality and the influence of mucA gene mutation in COPD patients with P. aeruginosa pneumonia. Methods: This study assessed 75 COPD patients with P. aeruginosa pneumonia at two university hospitals. The clinical and laboratory data were collected, and the P. aeruginosa isolates analyzed for the presence of mucA gene mutations. Results: MucA gene mutation of P. aeruginosa was an independent predictor of mortality (odds ratio [OR] 10.43, 95% confidence interval [CI]: 1.53–70.90, p = 0.017). In addition, the APACHE II score and C-reactive protein/Albumin (CA) ratio were independent predictive factors for mortality (OR 1.25, 95% CI: 1.07–1.46, p = 0.004; and OR 1.06, 95% CI: 1.02–1.10, p = 0.003, respectively). The optimal cutoff value of CA ratio for the greatest sensitivity and specificity was calculated as 31.27 (sensitivity, 85.7%; specificity, 80.3%). Conclusions: CA ratio and mucA gene mutation of P. aeruginosa could be used as predictors to identify poor prognosis in COPD patients with P. aeruginosa pneumonia.
AB - Objectives: Pseudomonas aeruginosa frequently colonizes the lungs of chronic obstructive pulmonary disease (COPD) patients. Mucoid conversion is a hallmark of chronic P. aeruginosa infection, which is mediated by mucA gene mutations. The aim of this study is to identify predictive factors for mortality and the influence of mucA gene mutation in COPD patients with P. aeruginosa pneumonia. Methods: This study assessed 75 COPD patients with P. aeruginosa pneumonia at two university hospitals. The clinical and laboratory data were collected, and the P. aeruginosa isolates analyzed for the presence of mucA gene mutations. Results: MucA gene mutation of P. aeruginosa was an independent predictor of mortality (odds ratio [OR] 10.43, 95% confidence interval [CI]: 1.53–70.90, p = 0.017). In addition, the APACHE II score and C-reactive protein/Albumin (CA) ratio were independent predictive factors for mortality (OR 1.25, 95% CI: 1.07–1.46, p = 0.004; and OR 1.06, 95% CI: 1.02–1.10, p = 0.003, respectively). The optimal cutoff value of CA ratio for the greatest sensitivity and specificity was calculated as 31.27 (sensitivity, 85.7%; specificity, 80.3%). Conclusions: CA ratio and mucA gene mutation of P. aeruginosa could be used as predictors to identify poor prognosis in COPD patients with P. aeruginosa pneumonia.
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U2 - 10.1016/j.rmed.2018.05.017
DO - 10.1016/j.rmed.2018.05.017
M3 - Article
C2 - 29957276
AN - SCOPUS:85047491067
SN - 0954-6111
VL - 140
SP - 27
EP - 31
JO - British Journal of Tuberculosis and Diseases of the Chest
JF - British Journal of Tuberculosis and Diseases of the Chest
ER -