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Early Active Mobilization during Mechanical Ventilation in the ICU.
Hodgson, Carol L; Bailey, Michael; Bellomo, Rinaldo; Brickell, Kathy; Broadley, Tessa; Buhr, Heidi; Gabbe, Belinda J; Gould, Doug W; Harrold, Meg; Higgins, Alisa M; Hurford, Sally; Iwashyna, Theodore J; Serpa Neto, Ary; Nichol, Alistair D; Presneill, Jeffrey J; Schaller, Stefan J; Sivasuthan, Janani; Tipping, Claire J; Webb, Steven; Young, Paul J.
Afiliação
  • Hodgson CL; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Bailey M; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Bellomo R; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Brickell K; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Broadley T; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Buhr H; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Gabbe BJ; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Gould DW; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Harrold M; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Higgins AM; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Hurford S; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Iwashyna TJ; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Serpa Neto A; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Nichol AD; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Presneill JJ; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Schaller SJ; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Sivasuthan J; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Tipping CJ; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Webb S; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
  • Young PJ; From the Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine (C.L.H., M.B., R.B., T.B., A.M.H., A.S.N., A.D.N., J.J.P., J.S., S.W., P.J.Y.), School of Public Health and Preventive Medicine (B.J.G.), Monash University, the Data Analytics Resea
N Engl J Med ; 387(19): 1747-1758, 2022 11 10.
Article em En | MEDLINE | ID: mdl-36286256
ABSTRACT

BACKGROUND:

Intensive care unit (ICU)-acquired weakness often develops in patients who are undergoing invasive mechanical ventilation. Early active mobilization may mitigate ICU-acquired weakness, increase survival, and reduce disability.

METHODS:

We randomly assigned 750 adult patients in the ICU who were undergoing invasive mechanical ventilation to receive increased early mobilization (sedation minimization and daily physiotherapy) or usual care (the level of mobilization that was normally provided in each ICU). The primary outcome was the number of days that the patients were alive and out of the hospital at 180 days after randomization.

RESULTS:

The median number of days that patients were alive and out of the hospital was 143 (interquartile range, 21 to 161) in the early-mobilization group and 145 days (interquartile range, 51 to 164) in the usual-care group (absolute difference, -2.0 days; 95% confidence interval [CI], -10 to 6; P = 0.62). The mean (±SD) daily duration of active mobilization was 20.8±14.6 minutes and 8.8±9.0 minutes in the two groups, respectively (difference, 12.0 minutes per day; 95% CI, 10.4 to 13.6). A total of 77% of the patients in both groups were able to stand by a median interval of 3 days and 5 days, respectively (difference, -2 days; 95% CI, -3.4 to -0.6). By day 180, death had occurred in 22.5% of the patients in the early-mobilization group and in 19.5% of those in the usual-care group (odds ratio, 1.15; 95% CI, 0.81 to 1.65). Among survivors, quality of life, activities of daily living, disability, cognitive function, and psychological function were similar in the two groups. Serious adverse events were reported in 7 patients in the early-mobilization group and in 1 patient in the usual-care group. Adverse events that were potentially due to mobilization (arrhythmias, altered blood pressure, and desaturation) were reported in 34 of 371 patients (9.2%) in the early-mobilization group and in 15 of 370 patients (4.1%) in the usual-care group (P = 0.005).

CONCLUSIONS:

Among adults undergoing mechanical ventilation in the ICU, an increase in early active mobilization did not result in a significantly greater number of days that patients were alive and out of the hospital than did the usual level of mobilization in the ICU. The intervention was associated with increased adverse events. (Funded by the National Health and Medical Research Council of Australia and the Health Research Council of New Zealand; TEAM ClinicalTrials.gov number, NCT03133377.).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Respiração Artificial / Cuidados Críticos / Deambulação Precoce Tipo de estudo: Clinical_trials Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Respiração Artificial / Cuidados Críticos / Deambulação Precoce Tipo de estudo: Clinical_trials Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article