[The Bayes Factor in the Analysis of Mechanical Power in Patients with Severe Respiratory Failure Due to SARS-CoV-2]

Overview

Journal Med Intensiva

Specialty Critical Care

Date 2023 Jun 26

PMID 37359241

Authors

Alejandro Gonzalez-Castro

Vicent Modesto I Alapont

Elena Cuenca Fito

Yhivian Penasco

Patricia Escudero Acha

Carmen Huertas Martin

Juan Carlos Rodriguez Borregan

Affiliations

Soon will be listed here.

Abstract

Objective: To specify the degree of probative force of the statistical hypotheses in relation to mortality at 28 days and the threshold value of 17 J/min mechanical power (MP) in patients with respiratory failure secondary to SARS-CoV-2.

Design: Cohort study, longitudinal, analytical.

Setting: Intensive care unit of a third level hospital in Spain.

Patients: Patients admitted for SARS-CoV-2 infection with admission to the ICU between March 2020 and March 2022.

Interventions: Bayesian analysis with the beta binomial model.

Main Variables Of Interest: Bayes factor, mechanical power.

Results: A total of 253 patients were analyzed. Baseline respiratory rate (BF: 3.83 × 10), peak pressure value (BF: 3.72 × 10) and neumothorax (BF: 17,663) were the values most likely to be different between the two groups of patients compared. In the group of patients with MP < 17 J/min, a BF of 12.71 and a BF of 0.07 were established with an 95%CI of 0.27-0.58. For the group of patients with MP ≥ 17 J/min the BF was 36,100 and the BF of 2.77e-05 with an 95%CI of 0.42-0.72.

Conclusions: A MP ≥ 17 J/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.

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