Safety Evaluation of Functional Electrical Stimulation (FES) Cycling in Intensive Care Unit Patients
NCT ID: NCT03526211
Last Updated: 2019-07-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
20 participants
INTERVENTIONAL
2018-07-24
2019-06-18
Brief Summary
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To prevent ICUAW, different strategies of early mobilization are recommended. But all cannot be applied in all ICU patients. Some of them benefit from heavy therapies like circulatory assistance or renal replacement therapy for example, that limit mobilization.
Cycloergometer is a tool that allows continuous passive mobilization in bedridden and even unconscious patients.
Neuromuscular electrical stimulation (NMES) is an alternative that helps preserve muscle mass and limit muscle atrophy.
Early bedside cycle exercise coupled with NMES is an interesting new approach where application of an electrical stimulation along specific motor nerves on each lower limb, generates muscles contractions and pedaling on cycloergometer.
The aim of this study is to evaluate safety and feasibility of this coupled technique called Functional Electrical Stimulation (FES) Cycling, in ICU patients.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
OTHER
NONE
Study Groups
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Experimental
Patients with FES Cycling
FES cycling
On the patient, three pairs of electrodes will be applied on tibial hamstring, quadriceps and gluteal muscles of each lower limb. Cycloergometer will be installed in passive mode. Then, optimal stimulation intensity for each muscle will be defined. During twenty minutes, neuromuscular electrical stimulation will generate a passive pedaling on cycloergometer.
Interventions
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FES cycling
On the patient, three pairs of electrodes will be applied on tibial hamstring, quadriceps and gluteal muscles of each lower limb. Cycloergometer will be installed in passive mode. Then, optimal stimulation intensity for each muscle will be defined. During twenty minutes, neuromuscular electrical stimulation will generate a passive pedaling on cycloergometer.
Eligibility Criteria
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Inclusion Criteria
* Deeply sedated (Riker 1-2) patients, admitted in intensive care unit B of ST-Etienne hospital
* Without curare since 12 hours
* Normothermic or with a controlled fever (central temperature between 36 and 38°C)
* Without haemodynamic instability (mean arterial pressure \> 65mmHg and \< 120mmHg, systolic arterial pressure \> 90mmHg and \< 200mmHg, Norepinephrine \< 4mg/h)
* Without respiratory instability (respiratory rate \< 35/min, pulse oxymetry \> 90%, inspired oxygen fraction \< 60%, PaO2/FiO2 ratio \> 250, Peep \< 10cmH2O, with invasive mechanical ventilation)
* Without neurological instability (diastolic velocities in mean cerebral artery \> 30cm/s, mean velocities \> 50cm/s, pulsatility index \< 1.2, intracranial pressure \< 20mmhg, brain tissue oxygenation tension \> 15mmHg)
* Patient whose family has given informed and written consent to the patient's participation in the study
Exclusion Criteria
* Patients with peripheral nerve damage prior to or at the time of measurement
* Curarized patients (non-efficacy of neurostimulation)
* Presence of a catheter in the stimulation zone (femoral artery or vein)
* Patients with lower limb, pelvic or spine fracture
* Patients with continuous renal replacement therapy
* Patients with circulatory assistance
* Patients with wounds in electrodes placement area
* Morbidly obesity with Ideal Body Weight \> 40kg/m2
* Patients with pacemaker
* Lower limb deep vein thrombosis without treatment
18 Years
ALL
No
Sponsors
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Laboratoire de Physique ENS de Lyon
UNKNOWN
Centre Hospitalier Universitaire de Saint Etienne
OTHER
Responsible Party
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Principal Investigators
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Jérôme MOREL, MD
Role: PRINCIPAL_INVESTIGATOR
CHU SAINT-ETIENNE
Locations
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Chu Saint-Etienne
Saint-Etienne, , France
Countries
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Other Identifiers
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2018-A00541-54
Identifier Type: OTHER
Identifier Source: secondary_id
18CH005
Identifier Type: -
Identifier Source: org_study_id
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