The Bayes factor in the analysis of mechanical power in patients with severe respiratory failure due to SARS-CoV-2

Abstract

To specify the degree of probative force of the statistical hypotheses in relation to mortality at 28 days and the threshold value of 17J/min mechanical power (MP) in patients with respiratory failure secondary to SARS-CoV-2. Cohort study, longitudinal, analytical. Intensive care unit of a third level hospital in Spain. Patients admitted for SARS-CoV-2 infection with admission to the ICU between March 2020 and March 2022. Bayesian analysis with the beta binomial model. Bayes factor, mechanical power. A total of 253 patients were analyzed. Baseline respiratory rate (BF10: 3.83×106), peak pressure value (BF10: 3.72×1013) and neumothorax (BF10: 17,663) were the values most likely to be different between the two groups of patients compared. In the group of patients with MP<17J/min, a BF10 of 12.71 and a BF01 of 0.07 were established with an 95%CI of 0.27-0.58. For the group of patients with MP≥17J/min the BF10 was 36,100 and the BF01 of 2.77e-05 with an 95%CI of 0.42-0.72. A MP≥17J/min value is associated with extreme evidence with 28-day mortality in patients requiring MV due to respiratory failure secondary to SARS-CoV-2 disease.