Hip Fracture and Muscle Resilience
NCT04167020 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 67
Last updated 2023-11-22
Summary
The aging of the population is a major public health problem, particularly with regard to the quality of life and the maintenance of autonomy.
The fracture of the upper end of the femur (EFSF) is a pathology:
* Frequent, affecting the elderly: in France, 80,000 patients / year, 83% aged ≥ 75 years (DREES, 2011),
* severe, on mortality and autonomy: 40% will not recover their walking capacity earlier than 6 months, 13% of patients \> 85 years old walk unaided at 4 months and 11% of patients will be newly admitted to an institution in 6 months after the fracture (UPOG / PSL data).
* and costly: costs related to acute care (excluding prostheses and osteosynthesis equipment), are estimated at € 475 million for health insurance in France.
Currently, despite optimized orthogeriatric management, it is difficult to predict how the individual will respond / recover from acute stress related to the EFSF. Physical resilience is an emerging concept in medicine that defines the dynamic ability of a subject to resist or recover from functional decline as a result of stress or disruption. In this context, developing new approaches to assessing resilience is important, to take into account this resilience specific to each patient in order to develop a personalized functional rehabilitation strategy. The objective of the HIPRESM study is to be able to identify, in elderly patients after an EFSF intervention, the muscular signature associated with good functional recovery (= physical resilience). The goal of the investigators is to develop software that will provide this muscle signature by measuring and analyzing parameters from high-definition surface electromyography (HD-sEMG). This technology is innovative, non-invasive and portable, CE marked but not yet used in clinical routine.
Conditions
- Hip Fracture, Post Surgery Recovery, Muscle Resilience
Interventions
- DEVICE
-
High definition surface electromyography (HD-sEMG)
HD-sEMG data will be collected by Mobita 32® (TMSi) device
Sponsors & Collaborators
-
Université de Technologie de Compiegne
collaborator OTHER -
Assistance Publique - Hôpitaux de Paris
lead OTHER
Principal Investigators
-
KIYOKA KINUGAWA, MD, PhD · APHP
Eligibility
- Min Age
- 70 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-02-21
- Primary Completion
- 2023-07-28
- Completion
- 2023-08-28
Countries
- France
Study Locations
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