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Impact on the ability of healthcare professionals to correctly identify patient-ventilator asynchronies of the simultaneous visualization of estimated muscle pressure curves on the ventilator display: a randomized study (P(mus) study)

BACKGROUND: Patient-ventilator asynchronies are usually detected by visual inspection of ventilator waveforms but with low sensitivity, even when performed by experts in the field. Recently, estimation of the inspiratory muscle pressure (P(mus)) waveforms through artificial intelligence algorithm ha...

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Detalles Bibliográficos
Autores principales: Silva, Daniel Oliveira, de Souza, Patrícia Nery, de Araujo Sousa, Mayson Laercio, Morais, Caio Cesar Araujo, Ferreira, Juliana Carvalho, Holanda, Marcelo Alcantara, Yamaguti, Wellington Pereira, Junior, Laerte Pastore, Costa, Eduardo Leite Vieira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064577/
https://www.ncbi.nlm.nih.gov/pubmed/36998022
http://dx.doi.org/10.1186/s13054-023-04414-9
Descripción
Sumario:BACKGROUND: Patient-ventilator asynchronies are usually detected by visual inspection of ventilator waveforms but with low sensitivity, even when performed by experts in the field. Recently, estimation of the inspiratory muscle pressure (P(mus)) waveforms through artificial intelligence algorithm has been proposed (Magnamed®, São Paulo, Brazil). We hypothesized that the display of these waveforms could help healthcare providers identify patient-ventilator asynchronies. METHODS: A prospective single-center randomized study with parallel assignment was conducted to assess whether the display of the estimated P(mus) waveform would improve the correct identification of asynchronies in simulated clinical scenarios. The primary outcome was the mean asynchrony detection rate (sensitivity). Physicians and respiratory therapists who work in intensive care units were randomized to control or intervention group. In both groups, participants analyzed pressure and flow waveforms of 49 different scenarios elaborated using the ASL-5000 lung simulator. In the intervention group the estimated P(mus) waveform was displayed in addition to pressure and flow waveforms. RESULTS: A total of 98 participants were included, 49 per group. The sensitivity per participant in identifying asynchronies was significantly higher in the P(mus) group (65.8 ± 16.2 vs. 52.94 ± 8.42, p < 0.001). This effect remained when stratifying asynchronies by type. CONCLUSIONS: We showed that the display of the P(mus) waveform improved the ability of healthcare professionals to recognize patient-ventilator asynchronies by visual inspection of ventilator tracings. These findings require clinical validation. Trial registration: ClinicalTrials.gov: NTC05144607. Retrospectively registered 3 December 2021. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04414-9.