Comprehensive study of mechanical power in controlled mechanical ventilation: Prevalence of elevated mechanical power and component analysis.

OBJECTIVE: To determine the prevalence of elevated mechanical power (MP) values (>17J/min) used in routine clinical practice. DESIGN: Observational, descriptive, cross-sectional, analytical, multicenter, international study conducted on November 21, 2019, from 8:00 AM to 3:00 PM. NCT03936231. SETTING: One hundred thirty-three Critical Care Units. PATIENTS: Patients receiving invasive mechanical ventilation for any cause. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Mechanical power. RESULTS: A population of 372 patients was analyzed. PM was significantly higher in patients under pressure-controlled ventilation (PC) compared to volume-controlled ventilation (VC) (19.20±8.44J/min vs. 16.01±6.88J/min; p<0.001), but the percentage of patients with PM>17J/min was not different (41% vs. 35%, respectively; p=0.382). The best models according to AICcw expressing PM for patients in VC are described as follows: Surrogate Strain (Driving Pressure) + PEEP+Surrogate Strain Rate (PEEP/Flow Ratio) + Respiratory Rate. For patients in PC, it is defined as: Surrogate Strain (Expiratory Tidal Volume/PEEP) + PEEP+Surrogate Strain Rate (Surrogate Strain/Ti) + Respiratory Rate+Expiratory Tidal Volume+Ti. CONCLUSIONS: A substantial proportion of mechanically ventilated patients may be at risk of experiencing elevated levels of mechanical power. Despite observed differences in mechanical power values between VC and PC ventilation, they did not result in a significant disparity in the prevalence of high mechanical power values.

[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.

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.

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

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.

[Decisiones de no ingreso en las Unidades de Cuidados Intensivos como medida de limitación de los tratamientos de soporte vital: variabilidad geográfica en España]. / Decisions of refusal intensive Care Units' admission as a measure of limitation of life support treatments: geographical variability in Spain.

From a post hoc analysis of the ADENI-UCI study (multicenter, observational, cohort, prospective study, with a follow-up period of 13 months, in 62 Intensive Medicine Services in Spain. geographical differences in the reason for denial of income in UCI as a LTSV measure are analyzed. A total of 2284 with an average age of 75.25 (12.45) years were included. 59.43% male. By means of multinominal regression adjusted by age, sex, APACHE and SOFA, was evident (by choosing the northern for reference) that age in the south was a less significantly exposed reason (OR: 0.48 (IC95%: 0.35-0.65). p.

[Limiting ICU admission from emergency services and wards]. / Limitación del ingreso en unidades de cuidados intensivos desde los servicios de urgencias y las plantas de hospitalización.

INTRODUCTION: Decisions not to admit a patient to intensive care units (ICU) as a way of limiting life support treatment (LLST) is a practice that can affect the operation of the emergency services and the way in which patients die. METHODS: Post hoc analysis of the ADENI-UCI study. The main variable analysed was the reason for refusal of admission to the ICU as a measure of LLST. For the present post hoc analysis, the registered patients were divided into 2 groups: the patients assessed in the intensive medicine services from the emergency department and the patients assessed from the conventional hospitalization areas. Student t was used in the comparative statistics when the mean values of the patient sub-cohorts were compared. Categorical variables were compared with the χ2 tests. RESULTS: The ADENI-ICU study included 2,284 decisions not to admit to the ICU as a measure of LLST. Estimated poor quality of life (p=.0158), the presence of severe chronic disease (P=.0169) and futility of treatment (P=.0006) were percentage decisions with greater weight within the population of hospitalized patients. The percentage of disagreement between the consulting physician and the intensivist was significantly lower in patients assessed from the emergency services (P=.0021). CONCLUSIONS: There are appreciable differences in the reasons for consultation, as well as in those for refusal of admission to an ICU between the consultations made from an emergency department and a conventional hospitalization facility.