View clinical trials related to Fall Patients.
Filter by:During the last decades there has been an increase in the relative proportion and life expectancy of elderly people. Hence, the number of elderly with diseases and disabilities related to aging will increase and consequently, age-related losses in skeletal muscle mass and physical function represents an important current and future public health issue. Sarcopenia is a progressive and generalized skeletal muscle disorder that is considered central to the development of physical deconditioning and untreated sarcopenia is linked to falls, morbidity, and mortality. The underlying mechanisms behind the progressive loss of muscle mass and function associated with aging are yet unknown but seems to be multifactorial. A decrease in physical activity level and an altered central and peripheral nervous system innervation have been identified as some of the contributing factors. Furthermore, chronic low-grade inflammation has been proposed as a central contributor to sarcopenia and thus physical frailty. However, it is not yet clear whether the elevated markers of inflammation seen in the elderly are due to aging, chronic illness, or inactivity. But overall, it seems that inflammation plays an important role in the development of muscle loss, and is related to increased risk of falls, fragility, and early death.
Falls, especially in the older people, are frequent with potential serious consequences. The strategy for preventing falls involves detecting the fall risk. Current tests to determine the risk of falling are too late indicators of gait disorder. Loss of gait dissociation is an element associated with the mechanism of the fall and appears earlier. Its diagnosis is particularly important as it is a reversible impairment if rehabilitation interventions can be proposed to correct this anomaly.
Falls in older adults represents a growing public health challenge. The use of certain medication is recognized as an important modifiable risk factor for falls. Research indicates fall-risk increasing drug (FRID) deprescribing is effective in reducing falls but difficult to initiate and to sustain over longer periods of follow-up. A clinical decision support system (CDSS) and patient portal for communicating medication-related fall risk to fall clinic patients may improve joint medication management between patients and physicians and consequently reduce the incidence of injurious falls.
Falls in the elderly are the cause of considerable morbidity and mortality and constitute a public health problem with more than 9000 deaths in France among the over 65s following an accidental fall. Many scientific data suggest that regular physical activity has significant and long-lasting beneficial effects on the health of the elderly and is associated with better functional status, a lower risk of falls and improved cognitive functions. However, the attraction to physical activity fades over the years and the reasons mentioned by the elderly for a low practice of physical activity are multiple, the main one being the worsening of their state of health. The objective of this study is therefore to evaluate the impact of playful, motivating mobility training, stimulating both mobility and cognition, for 8 weeks, on the balance and mobility of elderly people in EHPAD, in particular in conditions of dual-task well known to be at high risk of falling, as well as on the prevention of falls.
The objective of this study is to determine which gait parameters measured at home using e FeetMe® Insoles are associated with a risk for falls in a patient population suffering from osteoporosis and a higher with high risk of fractures and falls. Each patient will be asked to go to 3 visits at the Cochin hospital, and to wear the soles after each of these visits during 3 days, at home, to record the data, so that it reflects walking patterns of the patient in his/her daily life and activities. At the eachvisit, clinical tests to assess fall risk will be performed (Timed Up and Go test, one foot stance, Short Physical Performance Battery and 6 minutes walking test ). The patients will be supplied with a pair of FeetMe® Monitor Insoles, return home and walking parameters will be recorded for 3 to 10 consecutive days.
The Falls Predictor Clinical Investigation is a research study that aims to investigate the value of an update (Falls Prediction RAMware) to an implantable cardiac monitoring device (The Reveal LINQ™) in predicting unexplained falls. The Reveal LINQ™ is an implantable cardiac monitoring system manufactured by Medtronic that has the ability to monitor heart rate, rhythm and activity and is preprogrammed to detect abnormalities. An R&D team at Medtronic has been collaborating with the study PI Prof Rose Anne Kenny on this project they are responsible for developing a software update for the Reveal LINQ™ that would enable the device to collect additional sensor data such as accelerometer (step count) and Posture change. The additional investigational fields along with the standard cardiac fields that are monitored may be useful in predicting or identifying physiological changes before a fall. The study will involve up to 30 patients, recruited and consented from recurrent non-accidental fallers referred to the Falls and Syncope Unit at St James's Hospital, Dublin.
Lack of research oriented health care facilities especially rehabilitation department in Pakistan. 30-50 % of population of age 65 years and above have some problems with balance (3) and 75 % of people aging 70 years and above have poor balance which leads to fall related injuries (5). So fall and related injuries are major problem in this age group. All studies conducted so far addresses only one or two aspects of balance training not to all. This study will address all the aspects and develop a comprehensive balance training protocol and will try to contribute to this under research area.
The long-term goals of the project are: 1) Preventing falls before they occur, by significantly improving our ability to monitor fall risk and develop early and sensitive markers for this risk, based on tripping and near falls and other physiological signs, 2) automatically diagnosing falls within seconds from the time of the incident, without the need for an emergency / distress button or making a phone call.
Falls in people aged 65 years and over are a common reason for calling the emergency ambulance service. Falls can be serious, with about 1 in 20 people having to be taken to hospital because they have been injured. Thankfully, in more than 4 out of 10 cases, people are not seriously injured and can be left at home. However, it is important that the reason for the fall is found and future falls are prevented where possible. Yorkshire Ambulance Service can already make a referral to another local service to get specialist practical help for falls prevention when people are left at home after a fall. Research has shown that the safe use of medicines can prevent future falls, but that did not form. Now a new service has been set up for Yorkshire Ambulance Service to refer patients to the Leeds General Practice (GP) Confederation. A pharmacist working in the patients GP surgery will undertake a review of the patient's use of their medicines. However, it is unknown how ambulance staff identify patients who may be at risk of future falls due to medicines being taken or issues with medicines management at home. This data is not currently collected in any ambulance patient records. It is also not known what their current practice is when a patient who is not managing their medicines well is identified. A literature search has revealed no papers on this topic. This research survey seeks to understand how ambulance clinicians identify and assist patients who are having difficulty in managing their medicines. Therefore, the results of this study are likely to provide new knowledge which will be generalisable to United Kingdom (UK) ambulance service practice.
At Departmental Hospital Centre, a primary and secondary screening program for osteoporosis was set up in 2014 in the medical services (excluding oncology), gynaecology, outpatient surgery and orthopaedics. Patients who consulted outpatients in the emergency room were not taken into account due to the 24-hour opening hours. The objective of this program was to identify all patients at risk of osteoporosis; i. e. not only patients with a recent or previous fracture history, but also patients with osteoporosis risk factors without a history of fracture to date. This is in order to propose a prevention strategy to referring physicians and thus reduce the risk of fractures. The handover of the Timed Up and Go designed and physically carried out was added in July 2017 to the management of patients as part of this screening. During this screening, patients are asked to perform 2 realized Timed Up and Go (rTUG), followed by 2 imagined Timed Up and Go (iTUG). The interest in preventing falls in osteoporotic patients leads investigators to propose this evaluation as part of this "osteoporosis" screening. The investigators will offer patients benefiting from osteoporosis screening as part of the process already in place at Departmental Hospital Centre to participate in the FallMi study. If agreement is reached, the patient's treating physician will be contacted to collect data on the occurrence of falls in these patients. After a request by mail, an email will be sent to the attending physicians of each patient at 6 months, then one year after the completion of the TUG. This email will ask physicians about the presence of a fall that has occurred since the TUGs were performed, as well as the severity of this possible fall. Investigators objective is to evaluate rTUG and iTUG as predictive factors of a fall with moderate to fatal consequences. Investigators hypothesize that a lower isochrony between rTUG and iTUG is predictive of a risk of falling.