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Muscular AtrophyICUBIACTNCT02555670

Relation Between Bioelectrical Impedance Analysis (BIA) and CT-scan Analysis in the ICU

An observational study of Muscular Atrophy, run by Amsterdam UMC, location VUmc.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

Aim of the present study is to determine whether muscle mass as assessed by bioelectrical impedance analysis correlates with and corresponds to muscle mass as assessed by CT scan analysis in critically patients admitted to the intensive care unit. Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Muscular Atrophy
What is being tested?
BIA
How many people
222 participants
Where
No sites listed yet
Study dates
May 2014to Aug 2015
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Patients admitted to the Adult Intensive Care Unit

Who may be able to join

  • Abdominal CT-scan made for diagnostic reasons

Who cannot join

  • CT-scan not analysable
  • Internal or external metal devices
  • active pacemaker

About this study

Official title: Relation Between Bioelectrical Impedance-derived Muscle Mass and CT-derived Muscle Area in Critically Ill Patients

Aim of the present study is to determine whether muscle mass as assessed by bioelectrical impedance analysis correlates with and corresponds to muscle mass as assessed by CT scan analysis in critically patients admitted to the intensive care unit.

Read the detailed description

BIA measurements are performed in critically ill patients admitted to the ICU or MC, within 72 hours before or after CT scanning.

The BIA measurements are taken with the BIA 101 ASE, manufactured by Akern, Florence-7 Italy. This device is phase sensitive and injects an alternating current of 400 µA at 50 kHz. Measurements were performed while patients lay in supine position with a pillow supporting the head. The resistance, reactance, body weight and length are entered in the BIA algorithm, using BodyGram PRO. This algorithm calculated the body composition, with muscle mass being reported in kilogram (kg).

Abdominal CT scans are analyzed using the computer program SliceOmatic® version 4.3 and 5.0 (TomoVision, Montreal, QC, Canada) at the level of the third lumbar vertebra (L3). The muscle tissue was identified by using boundaries in Hounsfield Units (grayscale) set of -29 to +150(23). The program computes muscle surface area in cm2, by multiplying the pixel area by the amount of pixels identified as muscle.

For a direct comparison with the BIA-derived muscle mass, the CT-derived muscle area is converted to kg. This is done by following two steps. Firstly, the Shen equation is used for the conversion to litres.Secondly, the muscle volume is multiplied by its density, resulting in muscle mass expressed in kg.

Being tested
BIA
Keywords
Muscles, Intensive Care, Tomography, X-Ray Computed, Electric Impedance
Medical subject headings
Muscular Atrophy

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • BIAOther

    Also called Bioelectrical impedance analysis

    Bioelectrical impedance analysis was performed within 4 days after a CT-scan was made

Study groups in NCT02555670
Study groupRoleWhat they receive
BIA and CTPatients who had a CT-scan made for diagnostic reasons.
Receives: Other: BIA

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Agreement between BIA-derived muscle mass and CT-derived muscle mass

    Agreement will be calculated using a Bland-Altman plot

    Measured: Patient's data from the ICU-stay will be used, an average of one week

Secondary outcomes (3)
  1. Sensitivity of BIA to identify low muscle patients

    Using CT-derived cut-off points, sensitivity of BIA to identify the same patients as having low muscle will be calculated

    Measured: Patient's data from the ICU-stay will be used, an average of one week

  2. Specificity of BIA to identify low muscle patients

    Using CT-derived cut-off points, specificity of BIA to identify the same patients as having low muscle will be calculated

    Measured: Patient's data from the ICU-stay will be used, an average of one week

  3. Correlation between BIA-derived muscle mass and CT-derived muscle mass

    Correlation will be calculated using Pearson's r

    Measured: Patient's data from the ICU-stay will be used, an average of one week

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 Sep 2015 (estimated)
  2. Study startMay 2014
  3. Primary completionMay 2015
  4. Study completionAug 2015

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case only
Time perspective
Prospective
Enrolment
222 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT02555670
Sponsor's protocol ID
ICUBIACT
Acronym
ICUBIACT
Status last verified
May 2016
First submitted
17 Sep 2015
Last updated
11 May 2016
Results posted
No
Data monitoring committee
No
Individual data sharing
No

Publications

  • Weijs PJ, Looijaard WG, Dekker IM, Stapel SN, Girbes AR, Oudemans-van Straaten HM, Beishuizen A. Low skeletal muscle area is a risk factor for mortality in mechanically ventilated critically ill patients. Crit Care. 2014 Jan 13;18(2):R12. doi: 10.1186/cc13189.

    PubMed 24410863
  • Looijaard WGPM, Stapel SN, Dekker IM, Rusticus H, Remmelzwaal S, Girbes ARJ, Weijs PJM, Oudemans-van Straaten HM. Identifying critically ill patients with low muscle mass: Agreement between bioelectrical impedance analysis and computed tomography. Clin Nutr. 2020 Jun;39(6):1809-1817. doi: 10.1016/j.clnu.2019.07.020. Epub 2019 Aug 10.

    PubMed 31492456

Questions about this trial

What is this clinical trial studying?

An observational study of Muscular Atrophy, run by Amsterdam UMC, location VUmc.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 11 May 2016. Status can change between updates, so confirm with the study contact before making plans.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Agreement between BIA-derived muscle mass and CT-derived muscle mass (time frame: Patient's data from the ICU-stay will be used, an average of one week). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT02555670, which also lists 2 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 May 2016.

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