The Bayes factor in the analysis of mechanical power in patients with severe respiratory failure due to SARS-CoV-2.
Med Intensiva (Engl Ed)
; 2023 Apr 03.
Article
en En
| MEDLINE
| ID: mdl-37117098
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.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Med Intensiva (Engl Ed)
Año:
2023
Tipo del documento:
Article