Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections
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 sample...
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doaj-ca60643df11c46398f17969504a562232020-11-24T22:36:29ZengHindawi LimitedDisease Markers0278-02401875-86302015-01-01201510.1155/2015/701480701480Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream InfectionsChristian Leli0Marta Ferranti1Amedeo Moretti2Zainab Salim Al Dhahab3Elio Cenci4Antonella Mencacci5Microbiology Section, Department of Experimental Medicine, University of Perugia, 06100 Perugia, ItalyMicrobiology Section, Department of Experimental Medicine, University of Perugia, 06100 Perugia, ItalyMicrobiology Section, Department of Experimental Medicine, University of Perugia, 06100 Perugia, ItalyMicrobiology Section, Department of Experimental Medicine, University of Perugia, 06100 Perugia, ItalyMicrobiology Section, Department of Experimental Medicine, University of Perugia, 06100 Perugia, ItalyMicrobiology Section, Department of Experimental Medicine, University of Perugia, 06100 Perugia, ItalyProcalcitonin (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.http://dx.doi.org/10.1155/2015/701480 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christian Leli Marta Ferranti Amedeo Moretti Zainab Salim Al Dhahab Elio Cenci Antonella Mencacci |
spellingShingle |
Christian Leli Marta Ferranti Amedeo Moretti Zainab Salim Al Dhahab Elio Cenci Antonella Mencacci Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections Disease Markers |
author_facet |
Christian Leli Marta Ferranti Amedeo Moretti Zainab Salim Al Dhahab Elio Cenci Antonella Mencacci |
author_sort |
Christian Leli |
title |
Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections |
title_short |
Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections |
title_full |
Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections |
title_fullStr |
Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections |
title_full_unstemmed |
Procalcitonin Levels in Gram-Positive, Gram-Negative, and Fungal Bloodstream Infections |
title_sort |
procalcitonin levels in gram-positive, gram-negative, and fungal bloodstream infections |
publisher |
Hindawi Limited |
series |
Disease Markers |
issn |
0278-0240 1875-8630 |
publishDate |
2015-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2015/701480 |
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