Effects of the Level and Duration of Mobilization Therapy in the Surgical ICU on the Loss of the Ability to Live Independently: An International Prospective Cohort Study.


Journal

Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501

Informations de publication

Date de publication:
01 03 2021
Historique:
pubmed: 9 1 2021
medline: 11 8 2021
entrez: 8 1 2021
Statut: ppublish

Résumé

It is unclear whether early mobilization in the surgical ICU helps improve patients' functional recovery to a level that enables independent living. We assessed dose of mobilization (level + duration). We tested the research hypotheses that dose of mobilization predicts adverse discharge and that both duration of mobilization and maximum mobilization level predict adverse discharge. International, prospective cohort study. Study conducted in five surgical ICUs at four different institutions. One hundred fifty patients who were functionally independent before admission (Barthel Index ≥ 70) and who were expected to stay in the ICU for greater than or equal to 72 hours. None. Mobilization was quantified daily, and treatments from all healthcare providers were included. We developed and used the Mobilization Quantification Score that quantifies both level and duration of mobilization. We assessed the association between the dose of mobilization (level + duration; exposure) and adverse discharge disposition (loss of the ability to live independently; primary outcome). There was wide variability in the dose of mobilization across centers and patients, which could not be explained by patients' comorbidity or disease severity. Dose of mobilization was associated with reduced risk of adverse discharge (adjusted odds ratio, 0.21; 95%CI, 0.09-0.50; p < 0.001). Both level and duration explained variance of adverse discharge (adjusted odds ratio, 0.28; 95% CI, 0.12-0.65; p = 0.003; adjusted odds ratio, 0.14; 95% CI, 0.06-0.36; p < 0.001, respectively). Duration compared with the level of mobilization tended to explain more variance in adverse discharge (area under the curve duration 0.73; 95% CI, 0.64-0.82; area under the curve mobilization level 0.68; 95% CI, 0.58-0.77; p = 0.10). We observed wide variability in dose of mobilization treatment applied, which could not be explained by patients' comorbidity or disease severity. High dose of mobilization is an independent predictor of patients' ability to live independently after discharge. Duration of mobilization sessions should be taken into account in future quality improvement and research projects.

Identifiants

pubmed: 33416257
doi: 10.1097/CCM.0000000000004808
pii: 00003246-202103000-00023
pmc: PMC7902391
mid: NIHMS1652326
doi:

Banques de données

ClinicalTrials.gov
['NCT03196960']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e247-e257

Subventions

Organisme : NHLBI NIH HHS
ID : UG3 HL140177
Pays : United States
Organisme : NHLBI NIH HHS
ID : UH3 HL140177
Pays : United States

Informations de copyright

Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

Déclaration de conflit d'intérêts

Dr. Schaller’s institution received funding from Merck Sharp and Dohme (MSD, Haar, Germany), European Society of Intensive Care Medicine (ESICM, Brussels, Belgium), Fresenius (Germany), Liberate Medical LLC (Crestwood, KY), Stimit AG (Aktiengesellschaft, english: corporation, Nidau, Switzerland); he received funding from Technical University of Munich, Munich, Germany, from national (e.g., Deutsche Gesellschaft für Anästhesiologie und Intensivmedizin) and international (e.g., ESICM) medical societies (or their congress organizers) in the field of anesthesiology and intensive care and Alphabeth, Rhön-Klinikum AG, and Siemens AG; and he received nonfinancial support from Bavarian Medical Association, all outside the submitted work. Dr. Blobner received funding from MSD, Grünenthal, and GE Healthcare. Dr. Eikermann’s institution received funding from Jeff and Judy Buzen, and he received support for article research from the National Institutes of Health. The remaining authors have disclosed that they do not have any potential conflicts of interest.

Références

Schaller SJ, Anstey M, Blobner M, et al.; International Early SOMS-Guided Mobilization Research Initiative. Early, goal-directed mobilisation in the surgical intensive care unit: A randomised controlled trial. Lancet. 2016; 388:1377–1388
Schweickert WD, Pohlman MC, Pohlman AS, et al. Early physical and occupational therapy in mechanically ventilated, critically ill patients: A randomised controlled trial. Lancet. 2009; 373:1874–1882
Schujmann DS, Teixeira Gomes T, Lunardi AC, et al. Impact of a progressive mobility program on the functional status, respiratory, and muscular systems of ICU patients: A randomized and controlled trial. Crit Care Med. 2020; 48:491–497
Morris PE, Berry MJ, Files DC, et al. Standardized rehabilitation and hospital length of stay among patients with acute respiratory failure: A randomized clinical trial. JAMA. 2016; 315:2694–2702
Moss M, Nordon-Craft A, Malone D, et al. A randomized trial of an intensive physical therapy program for patients with acute respiratory failure. Am J Respir Crit Care Med. 2016; 193:1101–1110
Joseph B, Pandit V, Zangbar B, et al. Superiority of frailty over age in predicting outcomes among geriatric trauma patients: A prospective analysis. JAMA Surg. 2014; 149:766–772
Skrobik Y, Ahern S, Leblanc M, et al. Protocolized intensive care unit management of analgesia, sedation, and delirium improves analgesia and subsyndromal delirium rates. Anesth Analg. 2010; 111:451–463
Edgerton JR, Herbert MA, Mahoney C, et al. Long-term fate of patients discharged to extended care facilities after cardiovascular surgery. Ann Thorac Surg. 2013; 96:871–877
Belagaje SR, Sun CH, Nogueira RG, et al. Discharge disposition to skilled nursing facility after endovascular reperfusion therapy predicts a poor prognosis. J Neurointerv Surg. 2015; 7:99–103
Dasgupta M, Rolfson DB, Stolee P, et al. Frailty is associated with postoperative complications in older adults with medical problems. Arch Gerontol Geriatr. 2009; 48:78–83
Lee DH, Buth KJ, Martin BJ, et al. Frail patients are at increased risk for mortality and prolonged institutional care after cardiac surgery. Circulation. 2010; 121:973–978
McDermid RC, Stelfox HT, Bagshaw SM. Frailty in the critically ill: A novel concept. Crit Care. 2011; 15:301
Makary MA, Segev DL, Pronovost PJ, et al. Frailty as a predictor of surgical outcomes in older patients. J Am Coll Surg. 2010; 210:901–908
Mueller N, Murthy S, Tainter CR, et al. Can sarcopenia quantified by ultrasound of the rectus femoris muscle predict adverse outcome of surgical intensive care unit patients as well as frailty? A prospective, observational cohort study. Ann Surg. 2016; 264:1116–1124
Tipping CJ, Bailey MJ, Bellomo R, et al. The ICU mobility scale has construct and predictive validity and is responsive. A multicenter observational study. Ann Am Thorac Soc. 2016; 13:887–893
Eikermann M. Statistical Analysis Plan - Effects of Mobility Dose in Surgical Intensive Care Unit Patients (MQS). 2018. Available at: https://clinicaltrials.gov/ProvidedDocs/60/NCT03196960/SAP_000.pdf . Accessed July 16, 2020
von Elm E, Altman DG, Egger M, et al.; STROBE Initiative. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Lancet. 2007; 370:1453–1457
Flaatten H, De Lange DW, Morandi A, et al.; VIP1 Study Group. The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years). Intensive Care Med. 2017; 43:1820–1828
Mahoney FI, Barthel DW. Functional evaluation: The Barthel index. Md State Med J. 1965; 14:61–65
Kruizenga HM, Seidell JC, de Vet HC, et al. Development and validation of a hospital screening tool for malnutrition: The short nutritional assessment questionnaire (SNAQ). Clin Nutr. 2005; 24:75–82
Sessler CN, Gosnell MS, Grap MJ, et al. The Richmond Agitation-Sedation Scale: Validity and reliability in adult intensive care unit patients. Am J Respir Crit Care Med. 2002; 166:1338–1344
Ely EW, Margolin R, Francis J, et al. Evaluation of delirium in critically ill patients: Validation of the confusion assessment method for the intensive care unit (CAM-ICU). Crit Care Med. 2001; 29:1370–1379
Hlatky MA, Boineau RE, Higginbotham MB, et al. A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). Am J Cardiol. 1989; 64:651–654
Knaus WA, Draper EA, Wagner DP, et al. APACHE II: A severity of disease classification system. Crit Care Med. 1985; 13:818–829
Janssen I, Heymsfield SB, Wang ZM, et al. Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. J Appl Physiol (1985). 2000; 89:81–88
Parry SM, El-Ansary D, Cartwright MS, et al. Ultrasonography in the intensive care setting can be used to detect changes in the quality and quantity of muscle and is related to muscle strength and function. J Crit Care. 2015; 30:1151.e9–1151.14
Dalton JE, Kurz A, Turan A, et al. Development and validation of a risk quantification index for 30-day postoperative mortality and morbidity in noncardiac surgical patients. Anesthesiology. 2011; 114:1336–1344
Wagner AK, Fabio T, Zafonte RD, et al. Physical medicine and rehabilitation consultation: Relationships with acute functional outcome, length of stay, and discharge planning after traumatic brain injury. Am J Phys Med Rehabil. 2003; 82:526–536
Gennarelli TA, Champion HR, Copes WS, et al. Comparison of mortality, morbidity, and severity of 59,713 head injured patients with 114,447 patients with extracranial injuries. J Trauma. 1994; 37:962–968
Hoyer EH, Friedman M, Lavezza A, et al. Promoting mobility and reducing length of stay in hospitalized general medicine patients: A quality-improvement project. J Hosp Med. 2016; 11:341–347
Hodgson C, Needham D, Haines K, et al. Feasibility and inter-rater reliability of the ICU Mobility Scale. Heart Lung. 2014; 43:19–24
Bernhardt J, Churilov L, Ellery F, et al.; AVERT Collaboration Group. Prespecified dose-response analysis for a very early rehabilitation trial (AVERT). Neurology. 2016; 86:2138–2145
Gosling AF, Hammer M, Grabitz SD, et al. Preoperative predictors of adverse discharge for patients undergoing cardiac surgery. J Cardiothorac Vasc Anesth. 2021; 35:482–489
Bakhru RN, Wiebe DJ, McWilliams DJ, et al. An environmental scan for early mobilization practices in U.S. ICUs. Crit Care Med. 2015; 43:2360–2369
Bakhru RN, McWilliams DJ, Wiebe DJ, et al. Intensive care unit structure variation and implications for early mobilization practices. An international survey. Ann Am Thorac Soc. 2016; 13:1527–1537

Auteurs

Flora T Scheffenbichler (FT)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Department of Anesthesiology and Critical Care, University Hospital, Ulm, Germany.

Bijan Teja (B)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.

Karuna Wongtangman (K)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Department of Anesthesiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Nicole Mazwi (N)

Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Karen Waak (K)

Department of Physical Therapy, Massachusetts General Hospital, Boston, MA.

Stefan J Schaller (SJ)

Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Berlin Institute of Health, Department of Anesthesiology and Operative Intensive Care Medicine, Berlin, Germany.
Department of Anesthesiology and Intensive Care, Technical University of Munich, School of Medicine, Munich, Germany.

Xinling Xu (X)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.

Silvia Barbieri (S)

Department of Anesthesiology and Intensive Care, Technical University of Munich, School of Medicine, Munich, Germany.

Nazzareno Fagoni (N)

Department of Anesthesiology and Intensive Care, Technical University of Munich, School of Medicine, Munich, Germany.

Jessica Cassavaugh (J)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.

Manfred Blobner (M)

Department of Anesthesia, Critical Care and Emergency, Spedali Civili University Hospital, University of Brescia, Brescia, Italy.

Carol L Hodgson (CL)

Department of Epidemiology and Preventive Medicine, Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC, Australia.
Department of Physiotherapy, The Alfred Hospital, Melbourne, VIC, Australia.

Nicola Latronico (N)

Department of Anesthesiology and Intensive Care, Technical University of Munich, School of Medicine, Munich, Germany.

Matthias Eikermann (M)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.

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