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Influence of mechanical power and its components on mechanical ventilation in SARS-CoV-2

OBJECTIVE: To analyze the influence of mechanical power and its components on mechanical ventilation for patients infected with SARS-CoV-2; identify the values of the mechanical ventilation components and verify their correlations with each other and with the mechanical power and effects on the resu...

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Detalles Bibliográficos
Autores principales: Franck, Claudio Luciano, Franck, Gustavo Maysonnave
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação de Medicina Intensiva Brasileira - AMIB 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354101/
https://www.ncbi.nlm.nih.gov/pubmed/35946651
http://dx.doi.org/10.5935/0103-507X.20220018-en
Descripción
Sumario:OBJECTIVE: To analyze the influence of mechanical power and its components on mechanical ventilation for patients infected with SARS-CoV-2; identify the values of the mechanical ventilation components and verify their correlations with each other and with the mechanical power and effects on the result of the Gattinoni-S and Giosa formulas. METHODS: This was an observational, longitudinal, analytical and quantitative study of respirator and mechanical power parameters in patients with SARS-CoV-2. RESULTS: The mean mechanical power was 26.9J/minute (Gattinoni-S) and 30.3 J/minute (Giosa). The driving pressure was 14.4cmH(2)O, the plateau pressure was 26.5cmH(2)O, the positive end-expiratory pressure was 12.1cmH(2)O, the elastance was 40.6cmH(2)O/L, the tidal volume was 0.36L, and the respiratory rate was 32 breaths/minute. The correlation between the Gattinoni and Giosa formulas was 0.98, with a bias of -3.4J/minute and a difference in the correlation of the resistance pressure of 0.39 (Gattinoni) and 0.24 (Giosa). Among the components, the correlations between elastance and driving pressure (0.88), positive end-expiratory pressure (-0.54) and tidal volume (-0.44) stood out. CONCLUSION: In the analysis of mechanical ventilation for patients with SARS-CoV-2, it was found that the correlations of its components with mechanical power influenced its high momentary values and and that the correlations of its components with each other influenced their behavior throughout the study period. Because they have specific effects on the Gatinnoni-S and Giosa formulas, the mechanical ventilation components influenced their calculations and caused divergence in the mechanical power values.