The present study aims to validate the kinematic analysis obtained by two motion capture instruments for the functional objective assessment of elderly patients with Heart Failire (HF) and to develop a new functional index formed by kinematic parameters and other functional objective parameters and scales which may be impaired in patients with HF and they could allow the stratification of these patients based on different levels of functional impairment.
Cardiovascular diseases carried on being the leading cause of disability due to noncommunicable diseases from 1990 to 2016. Within cardiovascular diseases, it has been estimated that heart failure (HF) has a prevalence in the population of approximately 2% to 3%. However, it is the only cardiovascular disease that is increasing in incidence and prevalence due to the aging of the world population, since the prevalence of this disease increases with age. Furthermore, heart failure represents the most important hospital diagnosis in older adults, being the main cause of hospital admissions for people older than 65 years and contributing to the increase of medical care costs. Subjects with HF use to show a reduced aerobic capacity, a decreased muscle strength in the lower limbs, low weekly physical activity, intolerance to exercise and a lower walking speed than healthy subjects of the same age. In general, patients with heart failure have altered functional capacities and experience a decline in the ability to carry out activities of daily living and suffer a reduced quality of life. When it is assessed functional parameters in patients with heart failure, the maximum oxygen consumption (V0₂ max) obtained from a cardiopulmonary exercise test is considered the gold standard measure of cardiovascular functional capacity. Moreover, some functional tests have been used, such as the 6-Minute Walking Test, which provides an indirect measure of cardiovascular functional capacity, and the Short Physical Performance Battery (SPPB), which also provides a useful and indirect indication of muscle functional capacity. However, at the time of diagnosing or classifying patients with heart failure, the functional assessment does not use to be considered. The implementation of diagnostic guidelines or a functional assessment based on evidence can be important to improve prognosis and quality of life in patients with HF. Therefore, there is a need to identify functional markers related to functionality that are indicative of heart failure. For this, it is necessary to use instruments to measure functional variables that must be valid and reliable, as established by the COSMIN taxonomy. Kinematic measurements allow quantifying normal and pathological movements, quantifying the degree of deterioration, planning rehabilitation strategies and evaluating the effect of various interventions. Inertial sensors and depth cameras are accurate and reliable methods for the kinematic analysis of human movement, in addition to presenting a good correlation of kinematic data between them. Currently, it can be used the Simmer3 Inertial Sensor and 3D motion capture systems with a camera to analyse kinematics and these instruments are being integrated as a rehabilitation tool in patients. The use of Shimmer3 Inertial Sensor and 3D motion capture cameras would help to find fast and cheap assessment methods for professionals.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
34
The guidelines for the management according to the heart failure in primary care will be the treatment guidelines for the Standard Care.
School Medicine University of Malaga
Málaga, Malaga, Spain
Motion parameters
Kinematic parameters will be analysed using an inertial sensor included in the Shimmer3 instrument during the performance of different functional task.
Time frame: 1 hour
Kinematic analysis by 3D motion capture
A camera will perform a motion capture of the functional task. This system will calculate the displacement and the time of the functional task.
Time frame: 1 hour
Responsiveness
The Responsiveness Box of COSMIN checklist will be used to determinate the response to change of the Shimmer 3 Inertial Sensor and the 3D cameras. All possible items will be followed.
Time frame: 1 hour
Reliability
The Reliability Box of COSMIN checklist will be used to determinate the Test-Retest reliability of the Shimmer3 Inertial Sensor and the 3D cameras. All possible items will be followed.
Time frame: 1 hour
abbreviated comprehensive geriatric assessment (aCGA): a questionnaire formed by items originating from four different scales.
Questionnaire used to assess functional, emotional and cognitive components. It is composed of 15 items from the 4 instruments such as the geriatric depression scale (GDS), the Mini-Mental State Examination (MMSE), activities of daily living (ADL) using the Katz index and instrumental activities of daily living (IADL) using the Lawnton \& Brody scale. The score varies from 0 to 30 points, giving 1 point to each of the items of the GDS (4 points in total), 12 to the 3 items from the scale of Lawton \& Brody, 8 points to the 4 items from the MMSE and 6 points to the 3 items from the Katz index.
Time frame: 15 minutes
SARC-F
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It is a simple questionnaire to rapidly diagnose Sarcopenia. It is composed by 5 components: Strength, Assistance to walk, Get up from a chair, Climb stairs and Falls. Scores range from 0 to 10, with 0 to 2 points for each component. A score equal to or greater than 4 could predict sarcopenia and poor results.
Time frame: 10 minutes
Cardiopulmonary function
The heart rate will be assessed using the ECG Unit of Shimmer3.
Time frame: 1 hour
Quadriceps thickness
Muscular thickness will be analysed using the B-mode ultrasonography device (SonoSite 180 Plus, SonoSite Japan, Tokyo, Japan).
Time frame: 15 minutes
Quadriceps muscle echo-intensity
Muscle echo-intensity will be analysed using the B-mode ultrasonography device (SonoSite 180 Plus, SonoSite Japan, Tokyo, Japan).
Time frame: 15 minutes
Mortality
examining death rates and risk measures like standardized mortality ratios (SMRs)
Time frame: until the end of the study