Skeletal Muscle Properties and the Metabolic Cost of Walking Post-stroke

This study has been completed.
Sponsor:
Collaborator:
Medical University of South Carolina
Information provided by (Responsible Party):
Department of Veterans Affairs
ClinicalTrials.gov Identifier:
NCT00721357
First received: July 21, 2008
Last updated: September 30, 2013
Last verified: September 2013

July 21, 2008
September 30, 2013
August 2008
July 2012   (final data collection date for primary outcome measure)
Oxygen consumption during walking [ Time Frame: within one week of enrollment ] [ Designated as safety issue: No ]
Same as current
Complete list of historical versions of study NCT00721357 on ClinicalTrials.gov Archive Site
  • Muscle mechanical energy expenditure [ Time Frame: one time measure ] [ Designated as safety issue: No ]
  • Magnetic Resonance spectroscopy of muscle metabolic properties [ Time Frame: within one week of enrollment ] [ Designated as safety issue: Yes ]
Same as current
Not Provided
Not Provided
 
Skeletal Muscle Properties and the Metabolic Cost of Walking Post-stroke
Skeletal Muscle Properties and the Metabolic Cost of Walking Post-Stroke

Of the ~700,000 persons who suffer a stroke each year, only 50% recover the ability to perform unlimited community walking. One mechanism contributing to locomotor dysfunction post-stroke is an increased metabolic cost of walking relative to neurologically healthy individuals 2-4. This increased cost likely limits the amount of walking performed, which further reduces functional capacity, thus contributing to long-term spiral of disability and decreased quality of life in these persons. In addition to increased metabolic cost, increased estimates of mechanical work are also characteristic of hemiparetic walking 2,29. Interestingly, although estimates of mechanical work reflect work done by locomotor muscles, little is known about the impact that peripheral muscle properties have on estimates of mechanical work. Furthermore, questions concerning how these properties relate to the increased metabolic cost of walking remain unanswered. The short-term objective and purpose of the proposed research is to determine the extent to which peripheral muscle characteristics, as well as estimates of muscle mechanical energy expenditure (MMEE), relate to the metabolic cost of walking post-stroke.

A guiding principle of the proposed research is that skeletal muscle is the building block of all movement and, as such, muscle dysfunction can ultimately limit the gains possible from rehabilitation intervention. Therefore, maximal gains will be made only when central nervous system adaptations access peripheral muscle that is fully capable of supporting the increased activity.

The primary hypothesis is that in persons with hemiparesis following stroke, alterations in the metabolic properties of peripheral skeletal muscles, in combination with greater mechanical work, contribute to the increased metabolic cost of walking. A secondary hypothesis is that locomotor training induces adaptations in lower extremity skeletal muscle resulting in improved mechanical and metabolic efficiency. In order to test these hypotheses, the following three specific aims will be addressed:

Aim 1: Determine the in-vivo metabolic characteristics of the ankle plantar flexor muscles in persons with chronic post-stroke hemiparesis and neurologically healthy individuals. In-vivo muscle metabolic properties will be assessed via phosphorous magnetic resonance spectroscopy (31P-MRS). Specifically, we will measure the resting phosphorylation potential as well as the in-vivo oxidative capacity of the ankle plantar flexor muscles. We hypothesize that individuals with chronic hemiparesis will exhibit reductions in oxidative capacity as well as an increased resting phosphorylation potential relative to age-, gender-, height- and weight-matched control subjects. We suggest these adaptations, which are characteristic of a less energetically efficient muscle, contribute to an increased metabolic cost beyond that resulting from potential increases in mechanical work performed by locomotor muscles.

Aim 2: Quantify metabolic cost as well as muscle mechanical energy expenditure during walking in persons with chronic post-stroke hemiparesis and neurologically healthy individuals. Post-stroke hemiparesis is associated with a variety of motor control problems that include abnormal synergistic organization of movement as well as altered temporal sequencing of muscle activity 5,10,11. Since muscle excitation during normal walking is believed to be very efficient 8,9,33 it is likely that altered muscle coordination post-stroke, reflected in increased mechanical work, is one factor contributing to the increased metabolic cost of walking. We hypothesize that the metabolic cost of walking post-stroke will be elevated relative to controls at matched speeds. Additionally, a measure of mechanical work, muscle mechanical energy expenditure (MMEE), will be elevated post-stroke, reflective of mechanically inefficient movement strategies and causal to a portion of the increased metabolic cost of walking.

Aim 3: Determine the impact of 12 weeks of locomotor training on in-vivo muscle metabolic properties, the metabolic cost of walking as well as MMEE in persons with chronic post-stroke hemiparesis. There is emerging evidence that chronic neurologic deficits due to stroke can be improved through intensive, repetitive task-oriented motor training (e.g. locomotor training). The basis for locomotor training (LT) improvements is thought to involve mechanisms of central neuroplasticity that are responsive to fundamental principles of motor learning 37,38,39. In addition, our pilot data demonstrate that LT may also result in peripheral adaptations in the plantar flexor muscles. Thus, the potential seemingly exists to induce both central and peripheral adaptations with this intervention strategy. We expect that LT will attenuate existing deficits, resulting in an increased oxidative capacity and a decreased resting phosphorylation potential in ankle plantar flexor muscles. In addition, LT will result in a reduced MMEE and a reduced metabolic cost of walking, reflective of improved mechanical and metabolic efficiency. We believe it will prove important to describe adaptations in walking mechanics as well as within peripheral muscle that occur following LT and relate them to the metabolic cost of walking. In addition, continued deficits will reflect a need for additional or adjunctive intervention strategies, thus providing information on how to modify or augment future rehabilitation interventions in order to improve individual outcomes.

Observational
Observational Model: Cohort
Time Perspective: Cross-Sectional
Not Provided
Retention:   None Retained
Description:

None retained

Probability Sample

community sample

Stroke
  • Other: Treadmill walking
    Subjects will walk on a treadmill at a self-selected velocity
  • Other: Magnetic resonance spectroscopy
    Muscle oxidative capacity will be assessed via 31P-MRS
  • Group 1
    those with condition
    Interventions:
    • Other: Treadmill walking
    • Other: Magnetic resonance spectroscopy
  • Group 2
    those without condition
    Interventions:
    • Other: Treadmill walking
    • Other: Magnetic resonance spectroscopy
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
30
September 2013
July 2012   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • age 18-80;
  • stroke within past 6 months - 5 years;
  • residual paresis in the lower extremity (Fugl-Meyer LE motor score <34);
  • ability to sit unsupported for 30 sec;
  • ability to walk at least 10 ft with maximum 1 person assist;
  • self selected 10 meter gait speed < 0.8 m/s; and
  • provision of informed consent.

Exclusion Criteria:

  • Unable to ambulate at least 150 feet prior to stroke, or experienced intermittent claudication while walking < 200 meters;
  • history of congestive heart failure, unstable cardiac arrhythmias, hypertrophic cardiomyopathy, severe aortic stenosis, angina or dyspnea at rest or during activities of daily living;
  • History of COPD or oxygen dependence;
  • Preexisting neurological disorders, dementia or previous stroke;
  • History of major head trauma;
  • Legal blindness or severe visual impairment;
  • history of significant psychiatric illness;
  • Life expectancy <1 yr;
  • Severe arthritis or orthopedic problems that limit passive ROM;
  • post-stroke depression (PHQ-9 10);
  • History of DVT or pulmonary embolism within 6 months;
  • Uncontrolled diabetes with recent weight loss, diabetic coma, or frequent insulin reactions;
  • Severe hypertension with systolic >200 mmHg and diastolic >110 mmHg at rest;
  • Previous or current enrollment in a clinical trial to enhance motor recovery;
  • Presence of non-MR compatible implants or devices, pregnancy or severe claustrophobia.
Both
18 Years to 80 Years
Yes
Contact information is only displayed when the study is recruiting subjects
United States
 
NCT00721357
B6341-W
No
Department of Veterans Affairs
Department of Veterans Affairs
Medical University of South Carolina
Principal Investigator: Chris M. Gregory, PhD Ralph H. Johnson VA Medical Center, Charleston, SC
Department of Veterans Affairs
September 2013

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP