Effects of Mobility Dose in Surgical Intensive Care Unit Patients

NCT ID: NCT03196960

Last Updated: 2018-09-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-05-22

Study Completion Date

2018-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The primary aim of this study is to assess if the mobility dose that patients receive in the surgical intensive care unit (SICU) predicts adverse discharge disposition (primary endpoint), and muscle wasting diagnosed by bedside ultrasound (secondary endpoint).

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Our research group aims to better understand how patients on the SICU are mobilized and the impact it has on adverse discharge disposition and functional outcome after hospital discharge.

We have previously developed and validated the Surgical Intensive Care Unit Optimal Mobilization Score (SOMS), an algorithm to guide and facilitate early mobilization to advance mobility of SICU patients (NCT01363102). In addition, we have established the use of bedside ultrasound technology to quantify cross sectional area of the rectus femoris muscle, which allows an objective, user-independent quantification of muscle wasting (NCT02270502).

In this study we measure the dose of mobility, defined as a function of both the mobility provided by nursing and physical therapists (e.g., sitting at the edge of the bed, ambulating) as well as its duration. We will build on an existing mobility intensity quantification tool (NCT01674608) and add a domain that quantifies its duration in order to obtain a broad picture of the mobilization of patients on the SICU. The mobility dose is expressed by the mobility quantification score that has been developed by our team. We will then test the hypotheses that mobilization dose in the ICU predicts discharge disposition, defined as discharge to facilities providing long-term care assistance for daily activities, including nursing homes and skilled nursing facilities, hospice at the patient's home, hospice in a health care facility; or in-hospital mortality. Further we will evaluate the association between mobility dose and cross sectional area of the rectus femoris muscle measured by bedside ultrasound as a potential reflection of ICU-acquired muscle weakness (exploratory outcome).

Mobilization Quantification score: MQS (Detailed table linked in reference section)

This score integrates the highest rated activities within each mobility session - from physical therapy and nursing. By multiplying the scale it gets greater and allows a better interpretation of mobility intensity. It adds value of mobility dose across sessions considering the entire spectrum of active participation of the patient over the day.

Some specifics:

* If patient achieves a level in between predefined MQS levels we score the closest lower level
* We collect mobility data for the night time by interviewing the day nurses and asking them about the patients' mobilization also during night time
* We round up the duration of each mobility session: Passive range of motion (PRM) conducted 4 times during the day counts as: 1\*4=4 (corresponding to 4 units/hours)
* For each session, we calculate the highest mobility level for the duration of the mobility session: e.g. Patient is standing for 5 minutes before s/he walks with 2 assists for 10 minutes: 3\*7=21 (adding up the duration of various activities within a session and multiplying it by the highest achieved mobility level). Sitting passively in the chair is an exception (see below).

Sitting:

* Sitting in the chair counts as a separate session. Per sitting session a maximum of 2 hours are counted. For example: if a patient was sitting for a duration of either 2, 4 or 5 hours, we would always count: 2\*4=8
* For patients stepping/shuffling/walking to the chair we use level 5 every time the patient is doing it. E.g. patient is shuffling to the chair, sitting for 2 hours and then walking back: 5\*1+2\*4+5\*1 =28
* Distinct sitting sessions are defined by the patient being back in bed in between the sessions of sitting in the chair. E.g. the patient gets actively to chair by stand-step/shuffle, sits in chair for 6 hours, during sitting session patient gets up twice and afterwards gets back to bed by stand-step/shuffle:

5\*1(to chair)+2\*4(sitting)+5\*1(back to bed)+5\*2(standing up 2x in between)=28

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Sarcopenia Muscle Weakness Critical Illness

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Adults (18 years of age or greater)
* Barthel score ≥70 from a proxy describing patient function 2 weeks before admission
* Expected stay on the ICU of \>=3 days

Exclusion Criteria

* Patients transferred from other hospitals, long-term rehabilitation facilities or nursing homes with a preceding stay of more than 48 hours
* Hospitalization 1 month prior to ICU admission \>7 days
* Discussion about changing the goals of care from cure to comfort
* High risk of persistent brain injury (GCS\<5 motor component and presence of TBI)
* Patients with neurodegenerative diseases
* Subjects with absence of a lower extremity
* Patients with paraplegia or tetraplegia
* Pregnancy
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Technical University of Munich

OTHER

Sponsor Role collaborator

Università degli Studi di Brescia

OTHER

Sponsor Role collaborator

Massachusetts General Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Matthias Eikermann, MD PhD

Associate Professor of Anaesthesia, Harvard Medical School; Clinical Director, Critical Care Division

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Matthias Eikermann, MD PhD

Role: PRINCIPAL_INVESTIGATOR

Massachusetts General Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Massachusetts General Hospital

Boston, Massachusetts, United States

Site Status RECRUITING

Klinikum Rechts der Isar

Munich, Bavaria, Germany

Site Status RECRUITING

Università degli Studi di Brescia

Brescia, Lombardy, Italy

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

United States Germany Italy

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Matthias Eikermann, MD PhD

Role: CONTACT

(617) 726-3030

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Matthias Eikermann, MD PhD

Role: primary

Stefan Schaller, MD

Role: primary

Nicola Latronico, MD

Role: primary

References

Explore related publications, articles, or registry entries linked to this study.

Mueller N, Murthy S, Tainter CR, Lee J, Riddell K, Fintelmann FJ, Grabitz SD, Timm FP, Levi B, Kurth T, Eikermann M. 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 Dec;264(6):1116-1124. doi: 10.1097/SLA.0000000000001546.

Reference Type BACKGROUND
PMID: 26655919 (View on PubMed)

Schaller SJ, Anstey M, Blobner M, Edrich T, Grabitz SD, Gradwohl-Matis I, Heim M, Houle T, Kurth T, Latronico N, Lee J, Meyer MJ, Peponis T, Talmor D, Velmahos GC, Waak K, Walz JM, Zafonte R, Eikermann M; International Early SOMS-guided Mobilization Research Initiative. Early, goal-directed mobilisation in the surgical intensive care unit: a randomised controlled trial. Lancet. 2016 Oct 1;388(10052):1377-1388. doi: 10.1016/S0140-6736(16)31637-3.

Reference Type BACKGROUND
PMID: 27707496 (View on PubMed)

Lee JJ, Waak K, Grosse-Sundrup M, Xue F, Lee J, Chipman D, Ryan C, Bittner EA, Schmidt U, Eikermann M. Global muscle strength but not grip strength predicts mortality and length of stay in a general population in a surgical intensive care unit. Phys Ther. 2012 Dec;92(12):1546-55. doi: 10.2522/ptj.20110403. Epub 2012 Sep 13.

Reference Type BACKGROUND
PMID: 22976446 (View on PubMed)

Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, Cobb FR, Pryor DB. A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). Am J Cardiol. 1989 Sep 15;64(10):651-4. doi: 10.1016/0002-9149(89)90496-7.

Reference Type BACKGROUND
PMID: 2782256 (View on PubMed)

Kasotakis G, Schmidt U, Perry D, Grosse-Sundrup M, Benjamin J, Ryan C, Tully S, Hirschberg R, Waak K, Velmahos G, Bittner EA, Zafonte R, Cobb JP, Eikermann M. The surgical intensive care unit optimal mobility score predicts mortality and length of stay. Crit Care Med. 2012 Apr;40(4):1122-8. doi: 10.1097/CCM.0b013e3182376e6d.

Reference Type BACKGROUND
PMID: 22067629 (View on PubMed)

Tipping CJ, Bailey MJ, Bellomo R, Berney S, Buhr H, Denehy L, Harrold M, Holland A, Higgins AM, Iwashyna TJ, Needham D, Presneill J, Saxena M, Skinner EH, Webb S, Young P, Zanni J, Hodgson CL. The ICU Mobility Scale Has Construct and Predictive Validity and Is Responsive. A Multicenter Observational Study. Ann Am Thorac Soc. 2016 Jun;13(6):887-93. doi: 10.1513/AnnalsATS.201510-717OC.

Reference Type BACKGROUND
PMID: 27015233 (View on PubMed)

Scheffenbichler FT, Teja B, Wongtangman K, Mazwi N, Waak K, Schaller SJ, Xu X, Barbieri S, Fagoni N, Cassavaugh J, Blobner M, Hodgson CL, Latronico N, Eikermann M. 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. Crit Care Med. 2021 Mar 1;49(3):e247-e257. doi: 10.1097/CCM.0000000000004808.

Reference Type DERIVED
PMID: 33416257 (View on PubMed)

Provided Documents

Download supplemental materials such as informed consent forms, study protocols, or participant manuals.

Document Type: Statistical Analysis Plan

View Document

Study Documents

Access uploaded study-related documents such as protocols, statistical analysis plans, or lay summaries.

Document Type: Scoring Sheet

Mobilization Quantification Score

View Document

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2016P002045

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.