Accuracy of the clinical pulmonary infection score to differentiate ventilator-associated tracheobronchitis from ventilator-associated pneumonia.
Authors
Gaudet, AlexandreMartin-Loeches, Ignacio
Povoa, Pedro
Rodriguez, Alejandro
Salluh, Jorge
Duhamel, Alain
Nseir, Saad
Issue Date
2020-08-03Keywords
CPISLower respiratory tract infection
MECHANICAL VENTILATION
Pneumonia
Tracheobronchitis
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Show full item recordJournal
Annals of intensive careDOI
10.1186/s13613-020-00721-4PubMed ID
32748025Abstract
Background: Differentiating Ventilator-Associated Tracheobronchitis (VAT) from Ventilator-Associated Pneumonia (VAP) may be challenging for clinicians, yet their management currently differs. In this study, we evaluated the accuracy of the Clinical Pulmonary Infection Score (CPIS) to differentiate VAT and VAP. Methods: We performed a retrospective analysis based on the data from 2 independent prospective cohorts. Patients of the TAVeM database with a diagnosis of VAT (n = 320) or VAP (n = 369) were included in the derivation cohort. Patients admitted to the Intensive Care Centre of Lille University Hospital between January 1, 2016 and December 31, 2017 who had a diagnosis of VAT (n = 70) or VAP (n = 139) were included in the validation cohort. The accuracy of the CPIS to differentiate VAT from VAP was assessed within the 2 cohorts by calculating sensitivity and specificity values, establishing the ROC curves and choosing the best threshold according to the Youden index. Results: The areas under ROC curves of CPIS to differentiate VAT from VAP were calculated at 0.76 (95% CI [0.72-0.79]) in the derivation cohort and 0.67 (95% CI [0.6-0.75]) in the validation cohort. A CPIS value ≥ 7 was associated with the highest Youden index in both cohorts. With this cut-off, sensitivity and specificity were respectively found at 0.51 and 0.88 in the derivation cohort, and at 0.45 and 0.89 in the validation cohort. Conclusions: A CPIS value ≥ 7 reproducibly allowed to differentiate VAT from VAP with high specificity and PPV and moderate sensitivity and NPV in our derivation and validation cohorts.Item Type
ArticleLanguage
enISSN
2110-5820ae974a485f413a2113503eed53cd6c53
10.1186/s13613-020-00721-4
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