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Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study
BACKGROUND: Prediction of diagnosis of ventilator-associated pneumonia (VAP) remains difficult. Our aim was to assess the value of biomarker kinetics in VAP prediction. METHODS: We performed a prospective, multicenter, observational study to evaluate predictive accuracy of biomarker kinetics, namely...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Paris
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830786/ https://www.ncbi.nlm.nih.gov/pubmed/27076187 http://dx.doi.org/10.1186/s13613-016-0134-8 |
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author | Póvoa, Pedro Martin-Loeches, Ignacio Ramirez, Paula Bos, Lieuwe D. Esperatti, Mariano Silvestre, Joana Gili, Gisela Goma, Gema Berlanga, Eugenio Espasa, Mateu Gonçalves, Elsa Torres, Antoni Artigas, Antonio |
author_facet | Póvoa, Pedro Martin-Loeches, Ignacio Ramirez, Paula Bos, Lieuwe D. Esperatti, Mariano Silvestre, Joana Gili, Gisela Goma, Gema Berlanga, Eugenio Espasa, Mateu Gonçalves, Elsa Torres, Antoni Artigas, Antonio |
author_sort | Póvoa, Pedro |
collection | PubMed |
description | BACKGROUND: Prediction of diagnosis of ventilator-associated pneumonia (VAP) remains difficult. Our aim was to assess the value of biomarker kinetics in VAP prediction. METHODS: We performed a prospective, multicenter, observational study to evaluate predictive accuracy of biomarker kinetics, namely C-reactive protein (CRP), procalcitonin (PCT), mid-region fragment of pro-adrenomedullin (MR-proADM), for VAP management in 211 patients receiving mechanical ventilation for >72 h. For the present analysis, we assessed all (N = 138) mechanically ventilated patients without an infection at admission. The kinetics of each variable, from day 1 to day 6 of mechanical ventilation, was assessed with each variable’s slopes (rate of biomarker change per day), highest level and maximum amplitude of variation (Δ(max)). RESULTS: A total of 35 patients (25.4 %) developed a VAP and were compared with 70 non-infected controls (50.7 %). We excluded 33 patients (23.9 %) who developed a non-VAP nosocomial infection. Among the studied biomarkers, CRP and CRP ratio showed the best performance in VAP prediction. The slope of CRP change over time (adjusted odds ratio [aOR] 1.624, confidence interval [CI](95%) [1.206, 2.189], p = 0.001), the highest CRP ratio concentration (aOR 1.202, CI(95%) [1.061, 1.363], p = 0.004) and Δ(max) CRP (aOR 1.139, CI(95%) [1.039, 1.248], p = 0.006), during the first 6 days of mechanical ventilation, were all significantly associated with VAP development. Both PCT and MR-proADM showed a poor predictive performance as well as temperature and white cell count. CONCLUSIONS: Our results suggest that in patients under mechanical ventilation, daily CRP monitoring was useful in VAP prediction. Trial registration NCT02078999 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13613-016-0134-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4830786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Paris |
record_format | MEDLINE/PubMed |
spelling | pubmed-48307862016-04-26 Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study Póvoa, Pedro Martin-Loeches, Ignacio Ramirez, Paula Bos, Lieuwe D. Esperatti, Mariano Silvestre, Joana Gili, Gisela Goma, Gema Berlanga, Eugenio Espasa, Mateu Gonçalves, Elsa Torres, Antoni Artigas, Antonio Ann Intensive Care Research BACKGROUND: Prediction of diagnosis of ventilator-associated pneumonia (VAP) remains difficult. Our aim was to assess the value of biomarker kinetics in VAP prediction. METHODS: We performed a prospective, multicenter, observational study to evaluate predictive accuracy of biomarker kinetics, namely C-reactive protein (CRP), procalcitonin (PCT), mid-region fragment of pro-adrenomedullin (MR-proADM), for VAP management in 211 patients receiving mechanical ventilation for >72 h. For the present analysis, we assessed all (N = 138) mechanically ventilated patients without an infection at admission. The kinetics of each variable, from day 1 to day 6 of mechanical ventilation, was assessed with each variable’s slopes (rate of biomarker change per day), highest level and maximum amplitude of variation (Δ(max)). RESULTS: A total of 35 patients (25.4 %) developed a VAP and were compared with 70 non-infected controls (50.7 %). We excluded 33 patients (23.9 %) who developed a non-VAP nosocomial infection. Among the studied biomarkers, CRP and CRP ratio showed the best performance in VAP prediction. The slope of CRP change over time (adjusted odds ratio [aOR] 1.624, confidence interval [CI](95%) [1.206, 2.189], p = 0.001), the highest CRP ratio concentration (aOR 1.202, CI(95%) [1.061, 1.363], p = 0.004) and Δ(max) CRP (aOR 1.139, CI(95%) [1.039, 1.248], p = 0.006), during the first 6 days of mechanical ventilation, were all significantly associated with VAP development. Both PCT and MR-proADM showed a poor predictive performance as well as temperature and white cell count. CONCLUSIONS: Our results suggest that in patients under mechanical ventilation, daily CRP monitoring was useful in VAP prediction. Trial registration NCT02078999 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13613-016-0134-8) contains supplementary material, which is available to authorized users. Springer Paris 2016-04-14 /pmc/articles/PMC4830786/ /pubmed/27076187 http://dx.doi.org/10.1186/s13613-016-0134-8 Text en © Póvoa et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Póvoa, Pedro Martin-Loeches, Ignacio Ramirez, Paula Bos, Lieuwe D. Esperatti, Mariano Silvestre, Joana Gili, Gisela Goma, Gema Berlanga, Eugenio Espasa, Mateu Gonçalves, Elsa Torres, Antoni Artigas, Antonio Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study |
title | Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study |
title_full | Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study |
title_fullStr | Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study |
title_full_unstemmed | Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study |
title_short | Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study |
title_sort | biomarker kinetics in the prediction of vap diagnosis: results from the biovap study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830786/ https://www.ncbi.nlm.nih.gov/pubmed/27076187 http://dx.doi.org/10.1186/s13613-016-0134-8 |
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