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Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections

机译:革兰氏阳性,革兰氏阴性和真菌性血液感染中的降钙素原水平

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Procalcitonin (PCT) can discriminate bacterial from viral systemic infections and true bacteremia from contaminated blood cultures. The aim of this study was to evaluate PCT diagnostic accuracy in discriminating Gram-positive, Gram-negative, and fungal bloodstream infections. A total of 1,949 samples from patients with suspected bloodstream infections were included in the study. Median PCT value in Gram-negative (13.8 ng/mL, interquartile range (IQR) 3.4–44.1) bacteremias was significantly higher than in Gram-positive (2.1 ng/mL, IQR 0.6–7.6) or fungal (0.5 ng/mL, IQR 0.4–1) infections (P<0.0001). Receiver operating characteristic analysis showed an area under the curve (AUC) for PCT of 0.765 (95% CI 0.725–0.805,P<0.0001) in discriminating Gram-negatives from Gram-positives at the best cut-off value of 10.8 ng/mL and an AUC of 0.944 (95% CI 0.919–0.969,P<0.0001) in discriminating Gram-negatives from fungi at the best cut-off of 1.6 ng/mL. Additional results showed a significant difference in median PCT values between Enterobacteriaceae and nonfermentative Gram-negative bacteria (17.1 ng/mL, IQR 5.9–48.5 versus 3.5 ng/mL, IQR 0.8–21.5;P<0.0001). This study suggests that PCT may be of value to distinguish Gram-negative from Gram-positive and fungal bloodstream infections. Nevertheless, its utility to predict different microorganisms needs to be assessed in further studies.
机译:降钙素原(PCT)可以将细菌与病毒性全身感染区分开,将真正的菌血症与受污染的血液培养物区分开。这项研究的目的是评估PCT在区分革兰氏阳性,革兰氏阴性和真菌性血液感染方面的诊断准确性。该研究共包括来自疑似血液感染患者的1,949个样本。革兰氏阴性菌(13.8 ng / mL,四分位间距(IQR)3.4–44.1)菌血症的PCT中位数显着高于革兰氏阳性菌(2.1 ng / mL,IQR 0.6–7.6)或真菌(0.5 ng / mL, IQR 0.4–1)感染(P <0.0001)。接收器工作特性分析显示,在最佳截断值为10.8 ng / mL时,区分革兰氏阴性菌和革兰氏阳性菌的PCT曲线下面积(AUC)为0.765(95%CI 0.725–0.805,P <0.0001)。在区分最佳革兰氏阴性菌和真菌的最佳临界值1.6µng / mL时,AUC为0.944(95%CI 0.919-0.969,P <0.0001)。其他结果显示,肠杆菌科细菌和非发酵革兰氏阴性菌的PCT中位数存在显着差异(17.1ng / mL,IQR 5.9-48.5与3.5μng/ mL,IQR 0.8-21.5; P <0.0001)。这项研究表明,PCT可能有助于区分革兰氏阴性和革兰氏阳性和真菌性血液感染。尽管如此,其在预测不同微生物方面的效用仍需进一步研究评估。

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