The predictive value of procalcitonin monitoring in diagnosing the type of bloodstream infection
LU Zhenhua WANG Hong LI Jing QIAN Jun NI Wei▲
Department of Clinical Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine/Hubei Province Acadeny of Traditional Chinese Medicine, Hubei Province, Wuhan 430074, China
Abstract:Objective To explore the predictive value of procalcitonin (PCT) monitoring in diagnosing the type of bloodstream infection. Methods Clinical data of 172 patients with bloodstream infection in Hubei Provincial Hospital of Traditional Chinese Medicine from January to October 2018 were retrospectively analyzed, all patients with positive blood culture and simultaneous detection of blood routine, PCT and C-reaction protein (CRP). According to the results of blood culture, patients were divided into gram-positive bacteria (G+) bacteria infection group (55 cases) and gram-negative bacteria (G-) bacteria infection group (117 cases). The leves of white blood cell count, neutrophil count neutrophil ratio, neutrophil lymphocyte ratio, CRP and PCT were compared between two groups. The ROC curve was used to evaluated the diagnostic value. Results Patients of the G+ bacteria infection group were mainly from the department of emergency and infectious disease, the main infection bacterium was Staphylococcus. Patients of the G- bacteria infection group were mainly from the department of infectious disease and hematology, the maininfection bacteria was Escherichia coli. The PCT level of patients in G- bacteria infection group was higher than that of patients in G+ bacteria infection group, and the difference was statistically significant (P < 0.05). When 1.11 ng/mL was as the optimal cut-off point value, the sensitivity of PCT was 55.08% and the specificity was 80.00%. Conclusion PCT has a good predictive value for the diagnosis of bloodstream infection types, and the detection of different bacterial infection types is significantly different.
卢振华 汪鸿 李婧 钱军 倪维▲. 降钙素原监测对细菌性血流感染类型的诊断预测价值[J]. 中国医药导报, 2019, 16(25): 158-161.
LU Zhenhua WANG Hong LI Jing QIAN Jun NI Wei▲. The predictive value of procalcitonin monitoring in diagnosing the type of bloodstream infection. 中国医药导报, 2019, 16(25): 158-161.