Personalised Modeling and Simulations for the Differential Diagnosis of Dynapenia: Study on Patients With Osteoarthritis
Key facts
- Who runs it
- Istituto Ortopedico Rizzoli
- Where
- Italy1 site in 1 countryChoose a country to see its sites
- Trial code
- Status
- Completed
- People taking part
- 20 people enrolled
- Started
- 28 Mar 2023
- Ended
- 27 May 2024
- Type of study
- Interventional
- Treatments tested
- Personalised Musculoskeletal Modeling
- Record updated
- 29 May 2024
Who can take part
- Age
- 65 years to 80 years
- Sex
- Women and men
- Healthy volunteers
- Cannot take part
The registry criteria, word for word
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Who can take part
- Diagnosis of Primary Arthrosis at the knee (according to the American College of Rheumatology criteria), subjects elected for tota knee arthroplasty
- Body Mass Index between 18.5 and 30 kg/m2
- Health status (according to the American Society of Anesthesiology classification) equal to 1 or 2
- Suspected systemic sarcopenia due to aging or localized sarcopenia due to disuse
Who cannot take part
- Previous interventions or traumas to the joints of the lower limb
- Neurological, rheumatic or tumoral diseases
- Diabetes
- Severe Hypertension (Level 3)
- Severe Cardio-pulmonary insufficiency
- Pathologies or physical conditions incompatible with the use of magnetic resonance imaging and electrostimulation (i.e., active and passive implanted biomedical devices, epilepsy, severe venous insufficiency in the lower limbs)
- Inguinal or abdominal hernia
- Diagnosis of Osteonecrosis in the lower limb joints
This trial has no sites in United States.
It has sites in one country. Choose a country to see its sites.
About the trial
What the trial wants to find out
The ForceLoss study aims to develop personalised modeling and simulation procedures to enable the differential diagnosis for the loss of muscle force, namely dynapenia. The primary causes of dynapenia can be identified in a diffuse or selective sarcopenia, a lack of activation (inhibition), or suboptimal motor control. Each of these causes requires different interventions, but a reliable differential diagnosis is currently impossible. While biomedical instruments and tools can provide valuable information, it is often left to the experience of the single clinican to integrate such information into a complete diagnostic picture. An accurate diagnosis for dynapenia is important for a number of pathologies, including neurological diseases, age-related frailty, diabetes, and orthopaedic conditions.
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The hypothesis is that the use of mechanistic, subject-specific models (digital twins) to simulate a maximal isometric knee extension task, informed by experimental measures may be employed to conduct a robust differential diagnosis for dynapenia.
In this study, on patients candidate for knee arthroplasty, the investigators will expand (i) the experimental protocol previously developed and tested on healthy volunteers with a measure of involuntary muscle contraction (superimposed neuromuscular electrical stimulation, SNMES), a hand-grip test, measures of bio-impedance and clinical questionnaires, and (ii) the modeling and simulation framework to include one additional step (to check for muscle inhibition).
Medical imaging, electromyography (EMG) and dynamometry data will be collected and combined to inform a digital twin of each participant. Biomechanical computer simulations of a Maximal Voluntary Isometric Contraction (MVIC) task will then be performed. Comparing the models' estimates to in vivo dynamometry measurements and EMG data, the investigators will test one by one the three possible causes of dynapenia, and, through a process of hypothesis falsification will exclude those that do not explain the observed loss of muscle force.
The group in the trial
- Knee Osteoarthritic PatientsOther group
Patients candidate for knee arthroplasty; Age: 65-80 years; Body Mass Index: 18.5-30 kg/m²; ASA Classification: 1 or 2; Diagnosis of primary osteoarthritis at the knee; Suspect sarcopenia.
Treatment: Personalised Musculoskeletal Modeling
Data and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- ForceLoss: Part II - Osteoarthritic Patients. Development and Validation of Methods to Generate Personalised Models for the Differential Diagnosis of the Loss of Muscle Force
- Record updated
- 29 May 2024