[The Bayes factor in the analysis of mechanical power in patients with severe respiratory failure due to SARS-CoV-2]. / El método del factor de Bayes en el análisis de la energía mecánica en pacientes con insuficiencia respiratoria grave por SARS-CoV-2.
Med Intensiva
; 2023 Mar 22.
Article
in Spanish
| MEDLINE | ID: covidwho-2308692
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 (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 < 17 J/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 ≥ 17 J/min the BF10 was 36,100 and the BF01 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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
/
Prognostic study
/
Risk_factors_studies
Language:
Spanish
Year:
2023
Document Type:
Article
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