Journal Information
Vol. 47. Issue 11.
Pages 621-628 (November 2023)
Share
Share
Download PDF
More article options
ePub
Visits
152
Vol. 47. Issue 11.
Pages 621-628 (November 2023)
Original article
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
Visits
152
Alejandro González-Castroa,c, Vicent Modesto i Alapontb,c, Elena Cuenca Fitoa, Yhivian Peñascoa, Patricia Escudero Achaa, Carmen Huertas Martína, Juan Carlos Rodríguez Borregána,
Corresponding author
jrodriguez.borregan@scsalud.es

Corresponding author.
a Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Cantabria, Santander, Spain
b Hospital Universitari I Politècnic La Fe, València, Spain
c Grupo Internacional de Ventilación Mecánica, WeVent®
This item has received
Article information
Abstract
Full Text
Bibliography
Download PDF
Statistics
Figures (1)
Tables (4)
Table 1. Principal variables of the study cohort.
Table 2. Comparison of the clinical-epidemiological characteristics of the patients by study groups.
Table 3. Comparative analysis between groups of the principal variables associated with acute respiratory failure and therapeutic measures in the ICU.
Table 4. Comparative analysis of the principal evolutive variables during admission to the ICU.
Show moreShow less
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.

Keywords:
Mechanical ventilation
COVID-19
Bayes
Mechanical power
Resumen
Objetivo

Precisar el grado de fuerza probatoria de las hipótesis estadísticas con relación a la mortalidad a 28 días y el valor umbral de 17 J/min de potencia mecánica (PM) en pacientes con insuficiencia respiratoria secundaria a SARS-CoV-2.

Diseño

Estudio de cohortes, longitudinal y analítico.

Ámbito

Unidad de cuidados intensivos de un hospital de tercer nivel en España.

Pacientes

Enfermos ingresados por infección por SARS-CoV-2 con ingreso en la UCI entre marzo de 2020 y marzo de 2022.

Intervenciones

Análisis bayesiano con el modelo binomial beta.

Variables de interés principales

Factor de Bayes, mechanical power.

Resultados

Fueron analizados 253 pacientes. La frecuencia respiratoria inicial (BF10: 3,83 × 106), el valor de la presión pico (BF10: 3,72 × 1013) y el desarrollo de neumotórax (BF10: 17.663) fueron los valores con más probabilidad de ser diferentes entre los 2 grupos de pacientes comparados. En el grupo de pacientes con PM < 17 J/min se estableció un BF10 de 12,71 y un BF01 de 0,07 con un IdC95% de 0,27-0,58; Para el grupo de pacientes con PM ≥ 17 J/min el BF10 fue de 36.100 y el BF01 de 2,77e-05 con un IdC95% de 0,42-0,72.

Conclusiones

Un valor de PM ≥ 17 J/min se asocia con una evidencia extrema con la mortalidad a 28 días en pacientes que necesitaron ventilación mecánica por insuficiencia respiratoria secundaria a enfermedad por SARS-CoV-2.

Palabras clave:
Ventilación mecánica
COVID-19
Bayes
Energía mecánica

Article

These are the options to access the full texts of the publication Medicina Intensiva (English Edition)
Member
If you are a member of the Sociedad Española de Medicina Intensiva, Crítica y Unidades Coronarias::
Go to the members area of the website of the SEMICYUC (www.semicyuc.org )and click the link to the magazine.
Subscriber
Subscriber

If you already have your login data, please click here .

If you have forgotten your password you can you can recover it by clicking here and selecting the option “I have forgotten my password”
Subscribe
Subscribe to

Medicina Intensiva (English Edition)

Purchase
Purchase article

Purchasing article the PDF version will be downloaded

Price 19.34 €

Purchase now
Contact
Phone for subscriptions and reporting of errors
From Monday to Friday from 9 a.m. to 6 p.m. (GMT + 1) except for the months of July and August which will be from 9 a.m. to 3 p.m.
Calls from Spain
932 415 960
Calls from outside Spain
+34 932 415 960
Email
Idiomas
Medicina Intensiva (English Edition)
Article options
Tools
es en

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?