Austrian Biobanking Study for Sarcopenia (ASGSC)

October 7, 2024 updated by: Medical University of Graz

Sarcopenia in Cirrhosis and Chronic Inflammatory Bowel Disease: An Austrian Biobanking Study

The investigators aim to set up a biobanking study in Graz, Austria, to study sarcopenia in liver cirrhosis and chronic inflammatory bowel disease by collecting a standardized dataset including routine clinical and biochemical tests; biosamples to assess novel biomarker as well as advanced clinical assessments. In a small country like Austria, a nationwide biobanking study can enhance research enormously. The investigators therefore aim to extend the registry to all tertiary liver care centers in Austria in a second step.

Study Overview

Status

Recruiting

Conditions

Detailed Description

As the average age of societies rises, so too does the onset of debilitating diseases. Among these, sarcopenia, which is defined as a progressive decline in muscle mass, quality and strength, affects over one third and of people above 70 and half of patients with chronic diseases- such as liver cirrhosis or chronic inflammatory bowel disease (IBD). Sarcopenia remains an unmet clinical need with wide reaching implications affecting patients, their families and the health care system as a whole whereby patients lose independence due to their frailty which consequently decreases overall life quality and increases the risk of severe injuries, and complication thereof, due to falls.The pathogenesis of sarcopenia in cirrhosis is incompletely understood: Decreased protein synthesis and increased protein degradation mediated by inflammation contribute to sarcopenia in cirrhosis. In chronic inflammatory bowel disease, sarcopenia often results from a complex interplay of various factors, including inflammation, malabsorption, limited physical activity, and nutrient deficiencies.

Despite the high prevalence of sarcopenia among the aging and diseased populations, its diagnosis remains challenging as generally accepted international standards are lacking. Combined with the low agreement of available diagnosis criteria, this further complicates diagnostic methods. (8) To date, the diagnosis of sarcopenia relies on the quantification of muscle mass and a clinical assessment of muscle strength. For the estimation of muscle mass, costly computed tomography (CT) or magnetic resonance imaging (MRI) are the methods of choice to quantify the muscled area of a cross section on the level of the L3 vertebra- these methods also require skilled personnel and specialized software solutions for image evaluation. Methods used to assess muscle function, such as hand grip strength, gait speed and knee flexion/extension also require skilled personnel and present an additional layer of complexity to the overall diagnosis as they are difficult to standardize and heavily dependent patient compliance. Furthermore, the interpretation of the outlined diagnostic measures remains ambiguous, since different consensus definitions show conflicting results in different patient populations. Biomarker of muscle function and inflammation, as well as hormone assessments have been considered as useful diagnostic alternatives, however they are not part of clinical routine yet. Taken together, current diagnostic options for sarcopenia remain grossly insufficient which, often, allows this detrimental condition to be missed in clinical practice thereby hindering adequate and timely intervention.

In addition, currently there is no medical treatment available for sarcopenia. The current recommendation therefore is to improve nutrition, especially regarding the protein content, and physical activity.

Acquiring large enough datasets is of utmost importance to validate diagnostic tools or develop novel biomarker and therapies.

Study Type

Observational

Enrollment (Estimated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Lavra Celcer, MSc

Study Locations

      • Graz, Austria, 8010
        • Recruiting
        • Medical University of Graz
        • Contact:
        • Contact:
          • Lavra Celcer, MSc

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients with clinical/radiological/histological diagnosis of cirrhosis or chronic liver disease or histological diagnose of chronic inflammatory bowel disease

Description

Inclusion Criteria:

  • Age >18y
  • Informed consent
  • CT/MRI scan as part of routine care within +/-2 month of the study visit

Exclusion Criteria:

  • Hepatic encephalopathy > grade 2 and or other cognitive disorder not allowing informed consent
  • Hepatocellular carcinoma stage BCLC C or D
  • Any other condition or circumstance, which, in the opinion of the investigator, would affect the patient's ability to participate in the protocol

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Sarcopenia
Diagnosed with sarcopenia according to EWGSOP (European Working Group on Sarcopenia in Older People)
no sarcopenia
Not fulfilling sarcopenia criteria according to EWGSOP

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Austrian-wide sarcopenia register
Time Frame: At enrolment
Recruitment of 1000 people with/without sarcopenia
At enrolment

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy
Time Frame: At enrolment
Comparison of diagnostic accuracy of different published methods for sarcopenia diagnosis
At enrolment
Cut off definition
Time Frame: At enrolment
Development of cut offs for well-established and novel biomarker for sarcopenia
At enrolment
AI (artificial intelligence) guided sarcopenia diagnosis
Time Frame: At enrolment
Training of a neuronal network to distinguish between face pictures of patients with and without sarcopenia
At enrolment
Hypothesis generation
Time Frame: At enrolment
Development of hypotheses for new diagnostic tools and interventional studies
At enrolment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2023

Primary Completion (Estimated)

December 1, 2033

Study Completion (Estimated)

December 1, 2035

Study Registration Dates

First Submitted

October 7, 2024

First Submitted That Met QC Criteria

October 7, 2024

First Posted (Estimated)

October 9, 2024

Study Record Updates

Last Update Posted (Estimated)

October 9, 2024

Last Update Submitted That Met QC Criteria

October 7, 2024

Last Verified

October 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Data will be made available in a public repository after the study is completed

IPD Sharing Time Frame

1.1.2035 unlimited

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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