Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05538221 |
Other study ID # |
ConfSilema |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
October 20, 2022 |
Est. completion date |
November 4, 2022 |
Study information
Verified date |
November 2022 |
Source |
Centro Integral de Neurologia y Especialidades Afines, Argentina |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Gait disturbances can be observed in all age groups, and may be due to different conditions,
such as advanced age, stroke, head trauma, spinal cord injury, cerebral palsy,
myelomeningocele, among others. The aforementioned gait disorders are associated with an
increased risk of falls (which can cause major fractures or head trauma), decreased mobility,
loss of independence, cardiovascular pathology, and decreased quality of life. In order to
improve a given abnormal gait pattern, an objective assessment of gait is necessary. There
are several methods to carry out gait evaluations, like Instrumented Gait Analysis (High
cost, time-consuming, qualified professionals needed) and the ones based on observation
(limited reliability and validity). An alternative, is the use of video-based systems. SILEMA
(Computer System for Gait Study Laboratories in Argentina) is a video-based low-cost gait
analysis system that measures temporo-spatial (speed, step length, cadence, stance and swing
times) and joint kinematic (Hip, Knee, Ankle) parameters. Its reliability has not been
reported yet; thus the primary aim of this study is to determine both the "intra-evaluator"
(same evaluator, different sessions) and "inter-evaluator" (same session, different
evaluators) reliability.
Description:
Gait disturbances can be observed in all age groups, and may be due to different conditions,
such as advanced age, stroke, head trauma, spinal cord injury, cerebral palsy,
myelomeningocele, among others. The aforementioned gait disorders are associated with an
increased risk of falls (which can cause major fractures or head trauma), decreased mobility,
loss of independence, cardiovascular pathology, and decreased quality of life.
One of the main objectives of rehabilitation is the improvement of the gait pattern, for
which a correct evaluation of it is a necessary condition. Gait analysis is the systematic
study of human locomotion, with joint kinematics (description of movement in different
planes) and temporo-spatial parameters (speed, cadence, step length, stance and swing times)
being variables usually valued and reported. There are several methods for conducting gait
assessments. One of them consists of the administration of scales based on observation, which
are accessible and simple to execute, but exhibit limited reliability and validity, depending
in addition to the previous experience of the observer. The method considered "Gold standard"
is the Instrumented Gait Analysis (IGA), from which parameters of kinematics (through
optoelectronic cameras and reflective markers), kinetics (through the use of force platforms)
and muscle activity (using electromyography) can be obtained.Unfortunately, these systems are
not available in most rehabilitation centers, due to the high cost they represent, the need
to have highly trained professionals for their use and the long time needed for calibration
and post-processing, difficulties that are continuously mentioned in the literature. An
alternative to IGA is the use of video-based systems that allow the quantification of
temporo-spatial parameters and joint kinematics. One of these systems is SILEMA(Computer
System for Gait Study Laboratories in Argentina) which is based on the technique of digital
videography. This system exhibits the advantages of being portable, easy to implement and
use, and low cost.The purpose of the clinical analysis of gait is usually to differentiate
between normal and abnormal patterns, and to assess the change over time or due to an
intervention (surgery, orthosis, botulinum toxin, physical therapy, etc.), being necessary in
the latter case to make repeated measurements. Usually, to carry out gait evaluations, the
patient is asked to perform several "passes", each of them consisting of a free gait through
a walkway, at a "self-selected" speed, during a session in which the corresponding
information is collected. In healthy subjects, there is usually a variability between
repeated measurements (both intra-subject and inter-subject), which occurs at the expense of
intrinsic factors (age, height, gait speed, etc.) or extrinsic, caused by methodological
errors (experimental error), such as those related to the placement of markers (task carried
out by an evaluator, usually a Therapist, or with the processing of a video made by the
operator of the software. The consistency or repeatability of the measurements is what is
known as reliability. In other words, reliability is a measure of the variability that exists
between repeated measurements, and is usually estimated, as recommended, using the intraclass
correlation coefficient "ICC" (Relative Reliability) and the standard error of the measure
"SEM" (Absolute Reliability). Its determination is very important, since in daily practice it
could give information on whether the observed change in a certain parameter of the gait is
due to the intervention / evolution of the pathology or to the variability of the
measurements. In the context of gait analysis, reliability is typically evaluated
"inter-pass" (between several passes of the same subject, in the same session),
"intra-operator" (same video evaluated by the same operator at two different times),
"interoperator" (same video, different operators), "intra-evaluator" (same evaluator,
different sessions) and "inter-evaluator" (same session, different evaluators). To the best
of our knowledge, the reliability of SILEMA has not been reported, being the objective of the
present study, to determine this metric, with the intention of expanding its use, both for
the clinic and for research.
Other known NCT identifiers