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Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients

Breathing asynchronies are mismatches between the requests of mechanically ventilated subjects and the support provided by mechanical ventilators. The most widespread technique in identifying these pathological conditions is the visual analysis of the intra-tracheal pressure and flow time-trends. Th...

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Autores principales: Casagrande, Alberto, Quintavalle, Francesco, Lena, Enrico, Fabris, Francesco, Lucangelo, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714555/
https://www.ncbi.nlm.nih.gov/pubmed/34964083
http://dx.doi.org/10.1007/s10877-021-00792-z
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author Casagrande, Alberto
Quintavalle, Francesco
Lena, Enrico
Fabris, Francesco
Lucangelo, Umberto
author_facet Casagrande, Alberto
Quintavalle, Francesco
Lena, Enrico
Fabris, Francesco
Lucangelo, Umberto
author_sort Casagrande, Alberto
collection PubMed
description Breathing asynchronies are mismatches between the requests of mechanically ventilated subjects and the support provided by mechanical ventilators. The most widespread technique in identifying these pathological conditions is the visual analysis of the intra-tracheal pressure and flow time-trends. This work considers a recently introduced pressure-flow representation technique and investigates whether it can help nurses in the early detection of anomalies that can represent asynchronies. Twenty subjects—ten Intensive Care Unit (ICU) nurses and ten persons inexperienced in medical practice—were asked to find asynchronies in 200 breaths pre-labeled by three experts. The new representation increases significantly the detection capability of the subjects—average sensitivity soared from 0.622 to 0.905—while decreasing the classification time—from 1107.0 to 567.1 s on average—at the price of a not statistically significant rise in the number of wrong identifications—specificity average descended from 0.589 to 0.52. Moreover, the differences in experience between the nurse group and the inexperienced group do not affect the sensitivity, specificity, or classification times. The pressure-flow diagram significantly increases sensitivity and decreases the response time of early asynchrony detection performed by nurses. Moreover, the data suggest that operator experience does not affect the identification results. This outcome leads us to believe that, in emergency contexts with a shortage of nurses, intensive care nurses can be supplemented, for the sole identification of possible respiratory asynchronies, by inexperienced staff.
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spelling pubmed-87145552021-12-29 Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients Casagrande, Alberto Quintavalle, Francesco Lena, Enrico Fabris, Francesco Lucangelo, Umberto J Clin Monit Comput Original Research Breathing asynchronies are mismatches between the requests of mechanically ventilated subjects and the support provided by mechanical ventilators. The most widespread technique in identifying these pathological conditions is the visual analysis of the intra-tracheal pressure and flow time-trends. This work considers a recently introduced pressure-flow representation technique and investigates whether it can help nurses in the early detection of anomalies that can represent asynchronies. Twenty subjects—ten Intensive Care Unit (ICU) nurses and ten persons inexperienced in medical practice—were asked to find asynchronies in 200 breaths pre-labeled by three experts. The new representation increases significantly the detection capability of the subjects—average sensitivity soared from 0.622 to 0.905—while decreasing the classification time—from 1107.0 to 567.1 s on average—at the price of a not statistically significant rise in the number of wrong identifications—specificity average descended from 0.589 to 0.52. Moreover, the differences in experience between the nurse group and the inexperienced group do not affect the sensitivity, specificity, or classification times. The pressure-flow diagram significantly increases sensitivity and decreases the response time of early asynchrony detection performed by nurses. Moreover, the data suggest that operator experience does not affect the identification results. This outcome leads us to believe that, in emergency contexts with a shortage of nurses, intensive care nurses can be supplemented, for the sole identification of possible respiratory asynchronies, by inexperienced staff. Springer Netherlands 2021-12-29 2022 /pmc/articles/PMC8714555/ /pubmed/34964083 http://dx.doi.org/10.1007/s10877-021-00792-z Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Casagrande, Alberto
Quintavalle, Francesco
Lena, Enrico
Fabris, Francesco
Lucangelo, Umberto
Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
title Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
title_full Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
title_fullStr Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
title_full_unstemmed Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
title_short Pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
title_sort pressure-flow breath representation eases asynchrony identification in mechanically ventilated patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714555/
https://www.ncbi.nlm.nih.gov/pubmed/34964083
http://dx.doi.org/10.1007/s10877-021-00792-z
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