View clinical trials related to Age Problem.
Filter by:This study will help to determine the main clinical symptom differences between patients of different ages, discover the family genetic predisposition of patients of different ages, and obtain the differences in pathological characteristics of patients of different ages, so as to provide help and basis for more accurate and earlier prevention and treatment of colorectal cancer.
As Korea is becoming a super-aged society, the number of elderly patients with end-stage kidney disease (ESKD) is expected to increase rapidly. Therefore, the burden on Korean society will also increase. Thrice-weekly hemodialysis is standard for renal replacement therapy. However, this regimen has not been validated for elderly ESKD patients with residual renal function. Elderly patients can have multiple comorbidities such as hypertension, diabetes, cardiovascular disease, and impaired physical activity. Frequent hemodialysis could provoke falls, hypotension, and cognitive impairment. Previous reports have suggested the potential benefit of twice-weekly hemodialysis with incremental increases in frequency when residual renal function decreases. In addition, twice-weekly hemodialysis decreases hospitalization rates in frail patients. Therefore, the investigators hypothesized initiating renal replacement therapy with twice-weekly hemodialysis decreases the hopsitalizatoin rates compared with conventional thrice-weekly hemodialysis in elderly ESRD patients with residual renal function. This study is a pragmatic randomized clinical trial, multicenter study. Study subjects are incident ESRD patients (>= 60 years old, n=428) with residual urine volume ( > 500 mL/day) and follow up up to 2 years. Twice-weekly hemodialysis could be incremented according to clinical situations such as volume overload, hyperkalemia and uremic symptom. Primary outcome of this study is hospitalization rate during follow-up. Secondary outcomes include dialysis related hospitalization rate, the length of hospital stay, complication of dialysis,mortality rate and assessments of quality of life, frailty, and cost-utility.
The goal of this interventional study is to asses echocardiographic variations in emergency department's elderly patients receiving red blood cell transfusion. The main questions it aims to answer are : - is there a modification of echocardiographic parameters after red blood cell transfusion ? - which parameter is the most impacted by red blood cell transfusion ? Participants will have a transthoracic echocardiography before, just after and 15 minutes after red blood cell transfusion.
This study is a single-center, cross-sectional, and survey study. Through questionnaire surveys, information about the anxiety and depression status of residents of elderly care institutions in Zhejiang Province is collected. Through multi-factor analysis, the relevant influencing factors that affect their psychological status are clarified. The happy old age society provides reference opinions.
The aim of this study is to assess the accuracy of a convolutional neural network in dental age estimation from digital panoramic radiographs. The reference standard will be the chronological age of the patient.
Background and purposes: Square-stepping exercise (SSE) has been proved to be an effective intervention for motor and cognitive function in older adults. However, the underlying mechanism of SSE still remains undetermined. Therefore, the aim of this study is to elucidate the possible mechanism of SSE in healthy older adults. Methods: This is a cross-sectional study. Inclusion criteria are: (1) age between 65 and 90 years, (2) no frailty indicated by Fried frailty criteria, (3) mini-mental state examination score≧24 and Montreal Cognitive Assessment score≧26, (4) ability to walk independently for 1 min. Brain activation differences between SSE patterns and usual walking, as well as relationships between brain activity, cognitive function, physical performance and SSE performance will be examined. This study will address both cognitive and motor aspects of possible mechanism in SSE. SPSS version 25.0 (SPSS Inc., Chicago, IL, USA) will be used to analyze the collected data in this study. One-way ANOVA with repeated measures is used to evaluate the differences in brain activation among usual walking, SSE-pattern 1, and SSE-pattern 2, with Bonferroni test for post hoc analysis. The Pearson correlation coefficient will be used to establish the relationships between brain activity and SSEs performance, between cognitive function and SSEs performance, and between motor function and SSEs performance. The significant level is set at p< .05.
The goal of this observational study is to learn about difference related to age and gender in patients admitted to emergency department.
The ability to successfully integrate information across sensory systems is a vital aspect of functioning in the real world. To date, only a few studies have investigated the clinical translational value of multisensory integration processes. Previous work has linked the magnitude of visual-somatosensory integration (measured behaviorally using simple reaction time tasks) to important cognitive (attention) and motor (balance, gait, and falls) outcomes in healthy older adults. While multisensory integration effects have been measured across a wide array of populations using various sensory combinations and different neuroscience approaches, a gold standard for quantifying multisensory integration has been lacking. The investigator recently developed a step-by-step protocol for administering and calculating multisensory integration effects in an effort to facilitate innovative and novel translational research across diverse clinical populations and age-ranges. However, patients with severe medical conditions and/or mobility limitations often experience difficulty traveling to research facilities or joining time-demanding research protocols. Using the aforementioned protocol, the study team invented a mobile multisensory falls-assessment iPhone app called CatchU to facilitate physician discussion and counseling of falls in older adults during clinical visits (e.g., annual wellness visits with a subsequent telehealth call), in an attempt to alleviate disability, promote independence, and increase quality of life for older adults. The investigator team has provided a cross-sectional research proposal for a pilot study of 300 patients (over a 24-month period) in order to demonstrate acceptable-to-excellent predicative accuracy of CatchU for identifying older adults at-risk for falls.
The purpose of this project is to combine a novel posturogrpahy based on HTC VIVE trackers and hybrid machine learning and deep learning algorithms to establish a set of simple, convenient and valid fall risk assessment tool. This observational and follow up study will community elderly aged over 60 years old. The investigators will collect demographic data, questionnaire surveys, traditional balance tests and the tracker-based posturography to obtain the trunk stability parameters in different standing task. The fall risk will be classified according to self-reported falls n the past one year and verified in a 6-month follow up. The investigators will evaluate the performance of different hybrid machine learning and deep learning algorithm to extract the important features of multiple posturographic parameters and select an optimal model. The investigators will use the receiver operating characteristic curve analysis to compute the sensitivity, specificity and accuracy of different algorithms for risk classification and also compare the performance with traditional balance assessment tools.
The aim of this study is to study clinical results including mrobidity and mortality of elderly patients (age > 75 years) in Spain during a 3-month period.