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Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia
BACKGROUND: Predictors of ICU-acquired pulmonary aspergillosis (IPA) are not well-established in critically ill patients with ventilator-associated pneumonia (VAP), making IPA commonly misdiagnosed and anti-fungal therapy delayed. We aimed to develop a clinical score for prediction of IPA among pati...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630265/ https://www.ncbi.nlm.nih.gov/pubmed/37935890 http://dx.doi.org/10.1186/s13613-023-01199-6 |
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author | Massart, Nicolas Plainfosse, Emma Benameur, Yanis Dupin, Clarisse Legall, Florence Cady, Anne Gourmelin, Frederic Legay, François Barbarot, Nicolas Magalhaes, Eric Fillatre, Pierre Frerou, Aurélien Reizine, Florian |
author_facet | Massart, Nicolas Plainfosse, Emma Benameur, Yanis Dupin, Clarisse Legall, Florence Cady, Anne Gourmelin, Frederic Legay, François Barbarot, Nicolas Magalhaes, Eric Fillatre, Pierre Frerou, Aurélien Reizine, Florian |
author_sort | Massart, Nicolas |
collection | PubMed |
description | BACKGROUND: Predictors of ICU-acquired pulmonary aspergillosis (IPA) are not well-established in critically ill patients with ventilator-associated pneumonia (VAP), making IPA commonly misdiagnosed and anti-fungal therapy delayed. We aimed to develop a clinical score for prediction of IPA among patients with VAP. METHODS: Mechanically ventilated patients who developed VAP in 4 ICUs in Bretagne, Western France, were included. The score was constructed in a learning cohort, based on predictors of IPA in logistic regression model, and validated in a validation cohort. RESULTS: Among 1636 mechanically ventilated patients, 215 developed VAP but only 39 developed IPA (4 possible and 35 probable/putative) (18%). Most cases (31/39) were documented through a positive broncho-alveolar sample culture. Independent predictors of IPA were immunodepression (including onco-hematological disorder, immunomodulatory treatment, solid organ transplant, neutropenia < 0.5G/L and high-dose steroids ≥ 1 mg/kg/day of prednisolone equivalent) (p = 0.001; score = 1 point) and lymphocyte count at admission < 0.8 G/L (p = 0.019; score = 1 point). Operational values of the predictive score in the learning/validation cohort were 50%/52% sensitivity and 90%/87% specificity, respectively, for high PiPa score (score = 2) and 94%/91% sensitivity and 44%/46% specificity, respectively, for moderate PiPa score (score = 1). Finally, the AUC for the prediction of IPA was 0.783 in the learning cohort and 0.770 in the validation cohort. CONCLUSIONS: We evaluated a clinical score with good predictive value which may help to predict IPA in patient with VAP. External validation will be needed to confirm our preliminary findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-023-01199-6. |
format | Online Article Text |
id | pubmed-10630265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-106302652023-11-07 Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia Massart, Nicolas Plainfosse, Emma Benameur, Yanis Dupin, Clarisse Legall, Florence Cady, Anne Gourmelin, Frederic Legay, François Barbarot, Nicolas Magalhaes, Eric Fillatre, Pierre Frerou, Aurélien Reizine, Florian Ann Intensive Care Research BACKGROUND: Predictors of ICU-acquired pulmonary aspergillosis (IPA) are not well-established in critically ill patients with ventilator-associated pneumonia (VAP), making IPA commonly misdiagnosed and anti-fungal therapy delayed. We aimed to develop a clinical score for prediction of IPA among patients with VAP. METHODS: Mechanically ventilated patients who developed VAP in 4 ICUs in Bretagne, Western France, were included. The score was constructed in a learning cohort, based on predictors of IPA in logistic regression model, and validated in a validation cohort. RESULTS: Among 1636 mechanically ventilated patients, 215 developed VAP but only 39 developed IPA (4 possible and 35 probable/putative) (18%). Most cases (31/39) were documented through a positive broncho-alveolar sample culture. Independent predictors of IPA were immunodepression (including onco-hematological disorder, immunomodulatory treatment, solid organ transplant, neutropenia < 0.5G/L and high-dose steroids ≥ 1 mg/kg/day of prednisolone equivalent) (p = 0.001; score = 1 point) and lymphocyte count at admission < 0.8 G/L (p = 0.019; score = 1 point). Operational values of the predictive score in the learning/validation cohort were 50%/52% sensitivity and 90%/87% specificity, respectively, for high PiPa score (score = 2) and 94%/91% sensitivity and 44%/46% specificity, respectively, for moderate PiPa score (score = 1). Finally, the AUC for the prediction of IPA was 0.783 in the learning cohort and 0.770 in the validation cohort. CONCLUSIONS: We evaluated a clinical score with good predictive value which may help to predict IPA in patient with VAP. External validation will be needed to confirm our preliminary findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-023-01199-6. Springer International Publishing 2023-11-07 /pmc/articles/PMC10630265/ /pubmed/37935890 http://dx.doi.org/10.1186/s13613-023-01199-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Massart, Nicolas Plainfosse, Emma Benameur, Yanis Dupin, Clarisse Legall, Florence Cady, Anne Gourmelin, Frederic Legay, François Barbarot, Nicolas Magalhaes, Eric Fillatre, Pierre Frerou, Aurélien Reizine, Florian Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
title | Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
title_full | Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
title_fullStr | Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
title_full_unstemmed | Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
title_short | Prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
title_sort | prediction of pulmonary aspergillosis in patients with ventilator-associated pneumonia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630265/ https://www.ncbi.nlm.nih.gov/pubmed/37935890 http://dx.doi.org/10.1186/s13613-023-01199-6 |
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