Automatic detection of ventilatory modes during invasive mechanical ventilation
Author
Murias, Gastón
Montanyà, Jaume
Chacón, Encarna
Estruga, Anna
Subirà Cuyàs, Carles
Fernández Fernández, Rafael
Sales, Bernat
De Haro, Candelaria
López-Aguilar, Josefina
Lucangelo, Umberto
Villar, Jesús
Kacmarek, Robert M.
Blanch, Lluís
Publication date
2016-08-14ISSN
1364-8535
Abstract
Background: Expert systems can help alleviate problems related to the shortage of human resources in critical care, offering expert advice in complex situations. Expert systems use contextual information to provide advice to staff. In mechanical ventilation, it is crucial for an expert system to be able to determine the ventilatory mode in use. Different manufacturers have assigned different names to similar or even identical ventilatory modes so an expert system should be able to detect the ventilatory mode. The aim of this study is to evaluate the accuracy of an algorithm to detect the ventilatory mode in use. Methods: We compared the results of a two-step algorithm designed to identify seven ventilatory modes. The algorithm was built into a software platform (BetterCare® system, Better Care SL; Barcelona, Spain) that acquires ventilatory signals through the data port of mechanical ventilators. The sample analyzed compared data from consecutive adult patients who underwent >24 h of mechanical ventilation in intensive care units (ICUs) at two hospitals. We used Cohen’s kappa statistics to analyze the agreement between the results obtained with the algorithm and those recorded by ICU staff. Results: We analyzed 486 records from 73 patients. The algorithm correctly labeled the ventilatory mode in 433 (89 %). We found an unweighted Cohen’s kappa index of 84.5 % [CI (95 %) = (80.5 %: 88.4 %)]. Conclusions: The computerized algorithm can reliably identify ventilatory mode.
Document Type
Article
Document version
Accepted version
Language
English
Subject (CDU)
61 - Medicina
Keywords
Respiració artificial
Assistència mèdica
Pacients
Algoritmes
Respiración artificial
Asistencia médica
Enfermos
Algoritmos
Mechanical ventilation (Therapy)
Medical care
Algorithms
Patients
Pages
7
Publisher
Springer Nature
Collection
20;
Is part of
Critical Care
Citation
Murias, Gastón; Montanyà, Jaume; Chacón, Encarna [et al.]. Automatic detection of ventilatory modes during invasive mechanical ventilation. Critical Care, 2016, vol. 20, p. 1-7. Disponible en: <https://ccforum.biomedcentral.com/articles/10.1186/s13054-016-1436-9#Ack1>. Fecha de acceso: 29 dic. 2019. DOI: 10.1186/s13054-016-1436-9.
This item appears in the following Collection(s)
- Ciències de la Salut [532]
Rights
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