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Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis
OBJECTIVE: The predictive accuracies of procalcitonin (PCT) in the diagnosis of catheter-associated bloodstream infection (CABSI) vary widely. This meta-analysis aimed to explore the predictive value of PCT for CABSI. METHODS: We searched PubMed, EMBase, Web of Science, ScienceDirect, Cochrane Libra...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946251/ https://www.ncbi.nlm.nih.gov/pubmed/31876752 http://dx.doi.org/10.1097/MD.0000000000018546 |
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author | Jia, Chun Mei Feng, Shun Yi Li, Yong Cao, Zong Xun Wu, Cheng Pu Zhai, Yan Zhao Cui, Jie Zhang, Meng Gao, Jie |
author_facet | Jia, Chun Mei Feng, Shun Yi Li, Yong Cao, Zong Xun Wu, Cheng Pu Zhai, Yan Zhao Cui, Jie Zhang, Meng Gao, Jie |
author_sort | Jia, Chun Mei |
collection | PubMed |
description | OBJECTIVE: The predictive accuracies of procalcitonin (PCT) in the diagnosis of catheter-associated bloodstream infection (CABSI) vary widely. This meta-analysis aimed to explore the predictive value of PCT for CABSI. METHODS: We searched PubMed, EMBase, Web of Science, ScienceDirect, Cochrane Library, and studies published up to 10 March 2019. Odds ratios (ORs) with 95% confidence intervals (95%CIs) were calculated to evaluate PCT predictive value using Stata 14.0 software. RESULTS: The meta-analysis was composed of 7 studies, consisting of 347 subjects. Pooled analysis demonstrated that a high PCT was significantly correlated with CABSI (pooled OR = 23.36, 95%CI 12.43–43.91, P < .001) and medium heterogenicity (I (2) = 36.9%, P = .147). The pooled sensitivity and specificity were 85% (95%CI 0.76–0.91) and 89% (95%CI 0.68–0.97), respectively. Although Begg funnel plot (P = .007) indicated the presence of publication bias among the included studies, the stability of the pooled outcomes was verified by the trim-and-fill method. Furthermore, sensitivity analyses did not show important differences in effect estimation. CONCLUSION: PCT is an effective predictor of CABSI. However, high-quality randomized controlled trials are needed to determine whether PCT could predict CABSI. |
format | Online Article Text |
id | pubmed-6946251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-69462512020-01-31 Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis Jia, Chun Mei Feng, Shun Yi Li, Yong Cao, Zong Xun Wu, Cheng Pu Zhai, Yan Zhao Cui, Jie Zhang, Meng Gao, Jie Medicine (Baltimore) 3900 OBJECTIVE: The predictive accuracies of procalcitonin (PCT) in the diagnosis of catheter-associated bloodstream infection (CABSI) vary widely. This meta-analysis aimed to explore the predictive value of PCT for CABSI. METHODS: We searched PubMed, EMBase, Web of Science, ScienceDirect, Cochrane Library, and studies published up to 10 March 2019. Odds ratios (ORs) with 95% confidence intervals (95%CIs) were calculated to evaluate PCT predictive value using Stata 14.0 software. RESULTS: The meta-analysis was composed of 7 studies, consisting of 347 subjects. Pooled analysis demonstrated that a high PCT was significantly correlated with CABSI (pooled OR = 23.36, 95%CI 12.43–43.91, P < .001) and medium heterogenicity (I (2) = 36.9%, P = .147). The pooled sensitivity and specificity were 85% (95%CI 0.76–0.91) and 89% (95%CI 0.68–0.97), respectively. Although Begg funnel plot (P = .007) indicated the presence of publication bias among the included studies, the stability of the pooled outcomes was verified by the trim-and-fill method. Furthermore, sensitivity analyses did not show important differences in effect estimation. CONCLUSION: PCT is an effective predictor of CABSI. However, high-quality randomized controlled trials are needed to determine whether PCT could predict CABSI. Wolters Kluwer Health 2019-12-27 /pmc/articles/PMC6946251/ /pubmed/31876752 http://dx.doi.org/10.1097/MD.0000000000018546 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 3900 Jia, Chun Mei Feng, Shun Yi Li, Yong Cao, Zong Xun Wu, Cheng Pu Zhai, Yan Zhao Cui, Jie Zhang, Meng Gao, Jie Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis |
title | Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis |
title_full | Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis |
title_fullStr | Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis |
title_full_unstemmed | Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis |
title_short | Procalcitonin for predicting catheter-associated bloodstream infection: A meta-analysis |
title_sort | procalcitonin for predicting catheter-associated bloodstream infection: a meta-analysis |
topic | 3900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946251/ https://www.ncbi.nlm.nih.gov/pubmed/31876752 http://dx.doi.org/10.1097/MD.0000000000018546 |
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