Abstract:
OBJECTIVE To explore the significance of procalcitonin (PCT), C-reactive protein (CRP), and CD64 indexes in diagnosis and treatment of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients complicated with bacterial infections so as to provide guidance for early diagnosis and treatment of AECOPD.
METHODS Totally 128 patients with AECOPD who were treated in hospitals from Jan 2013 to Jan 2016 were chosen as the observation group, and 80 patients with stable chronic obstructive pulmonary disease (COPD) were set as the control group.The levels of CD64, CRP, PCT, and WBC of the two groups of patients were observed at the admission to hospital, the changes of the indicators for pathogens were observed, the levels of indexes were studied before and after the treatment.The specificity and sensitivity of the sensitive observation indexes were observed by using ROC curve before and after the treatment for different time periods.
RESULTS The levels of CD64, CRP, PCT, and WBC of the observation group were higher than those of the control group at the admission to hospital (
P<0.05).In the observation group, the levels of indexes of the patients with bacterial infections were higher than those of the patients with viral infections and the patients with mixed infections (
P<0.05); the levels of indexes of the patients with mixed infections were significantly higher than those of the patients with viral infections (
P<0.05).In the observation group, the levels of indexes were significantly lower after the treatment for 7 days than before the treatment and after the treatment for 3 days (
P<0.05).The ROC curve indicated that the sensitivity and specificity of the CD64 and PCT were more than 85.00% before and after the treatment for different time periods, which met the clinical requirements.
CONCLUSIONCD64 and PCT can be used as the indexes for differential diagnosis of AECOPD complicated with bacterial infections, the combination with CRP may facilitate the clinical use of antibiotics for AECOPD and the prediction of prognosis.