A Cross-sectional Study of Sarcopenia in Patients With Parkinson ' s Disease
A Cross-sectional Study of Sarcopenia in Patients With Parkinson ' s Disease
Parkinson's disease (PD) is the second most common neurodegenerative disease of aging. The average age of PD onset is about 60 years old. Sarcopenia is common in PD patients, and one in five Parkinson's patients is diagnosed with severe sarcopenia. The prevalence of Parkinson's disease is expected to increase in the coming decades as the population ages.
Sarcopenia is a syndrome with progressive and widespread loss of skeletal muscle mass and function, resulting in disability, loss of quality of life, and even death. Chronic disease, long-term bedridden, unreasonable diet and drug therapy may be the important factors leading to sarcopenia. China is gradually stepping into an aging society. Sarcopenia, as an age-related disease, lacks effective treatment, and has become a global public health problem and frontier research problem, bringing huge economic burden to families and society. The decline of the musculoskeletal system in the elderly will lead to muscle atrophy and loss of muscle strength, as well as decreased motor ability and balance ability, and ultimately lead to a decline in the quality of life of the elderly. The European Working Group on Sarcopenia recommends routine screening for sarcopenia in older people aged 65 and over in the community. At present, screening for sarcopenia has not received enough attention in China, and there is no unified standard for screening methods. The assessment of sarcopenia mainly focuses on three aspects: muscle mass, muscle strength and muscle function. The main symptoms of Parkinson's disease patients are postural tremor, bradykinesia and stiffness. The existence of sarcopenia may lead to poor treatment control in PD patients, and the recognition of sarcopenia in PD patients may have therapeutic effects.
This project through the cross-sectional survey of Parkinson's disease less muscle disease prevalence situation, further clear according to Parkinson's disease staging classification muscle disease prevalence, less and less by Logistic regression analysis to investigate the muscle disease and Parkinson's disease progression and the correlation between the severity of disease, for the next step nursing intervention strategies for implementation of PD patients less muscle disease provides guidance basis, to prevent and delay the less muscle disease is of great significance.
The research content PD patients admitted to the Department of Neurology of our hospital from January 1, 2021 to December 31, 2022 were evaluated according to the assessment criteria for Asian sarcopenia patients (pre-sarcopenia, sarcopenia stage and severe sarcopenia stage), and the muscle mass, muscle strength and functional status of each patient were recorded. To understand the current situation of sarcopenia in PD patients, and to clarify the correlation between sarcopenia and the course and severity of disease in Parkinson's disease patients, and actively look for the influencing factors that can be intervened to guide the development of nursing intervention measures.
The research target This project through the cross-sectional survey of Parkinson's disease less muscle disease prevalence situation, further clear according to Parkinson's disease staging classification muscle disease prevalence, less and less by Logistic regression analysis to investigate the muscle disease and Parkinson's disease progression and the correlation between the severity of disease, for further implementation of PD patients with less muscle disease provide guidance on the basis of nursing intervention strategies.
The problem to be solved Dyskinesia, static tremor, and myotonia are common features of Parkinson's disease, which contribute to the loss of function and independence of Parkinson's patients. The methods used for the assessment of sarcopenia in the general population (such as the inability to measure walking speed and muscle strength) may not be applicable to PD patients, so it is necessary to consult clinical experts and teachers in the implementation process of the project.
Future research ideas
1. Research method, technical route and schedule The research methods Study Design This study was a cross-sectional survey Subjects: PD patients who were admitted to the outpatient and inpatient departments of the Department of Neurology of our hospital on January 1, 2021 and December 31, 2022 were evaluated by H-Y grading scale and UPDRS-3 scale. Obtain basic patient information by consulting patient's medical records or asking patient's family members.
Included in the standard
1) Meets MDS-2015 diagnostic criteria for Parkinson's disease; 2) The patient can stand independently; 3) Informed consent of patients and their families. Exclusion criteria
1) Parkinson's disease syndrome caused by cerebrovascular diseases, encephalitis and trauma; 2) Progressive nuclear ascending paralysis, multiple system atrophy, Lewy body dementia and other Parkinson's superposition syndrome; 3) severe physical disease; 4) diseases of the digestive system; 5) wasting diseases such as infection and tumor 6) with severe mental illness or cognitive impairment. Withdrawal criteria The patient requested withdrawal. According to the literature, the incidence of sarcopenia in Parkinson's disease patients was 30.6%, the allowable error was 3%, the confidence was 0.95, and the qualified rate of the questionnaire was 90%. Combined with the above data, the sample size was calculated to be 908 cases.
Research tools and evaluation indicators Patients' basic information was obtained by consulting patients' cases or inquiring patients' family members through self-developed patients' basic information table.
General information: gender, age and course of disease of the patient
Nutrition status assessment: height, weight, triceps skin fold thickness, leg circumference, diet, MNA scale
Parkinson's disease symptom assessment H-Y scale, Parkinson's disease non-motor symptom rating scale (NMSS), bell drawing test
Patients were screened using the calf circumference and SARC-F questionnaire.<SARC-F> is a simple patient-assessed screening questionnaire, which includes 5 items in total, including strength, assisted walking, standing up, stair climbing, and the number of falls in a year. A total score of 4 or more was considered positive.
Sarcopenia evaluation
Evaluation of muscle mass Bioelectrical independence analysis (BIA) was used to evaluate the patient's muscle mass (male <7.0kg/m2, female <5.7kg/m2)
Muscle strength assessment Hand-held gripper was used to measure the patient's main hand. When measuring grip strength, let the patient exert his hand at a constant speed to the maximum, and avoid visual feedback and verbal stimulation during exertion. Posture: 1) Standing posture: feet naturally on the ground, arms naturally droop; 2) Sitting posture: shoulder adducted neutral position, elbow flexed 90 degrees, upper arm flat with chest, forearm in neutral position; 3) Prostrate: the upper arm ababducts, the elbow is straight, and the body is 30 degrees, the forearm is neutral, the jaws up to hold the gripper, the lower end of the gripper is supported on the bed, the upper limb joints can not be flexed, moved, the gripper can not contact the body or press down.
The AWGS 2019 recommended diagnostic threshold for grip strength for sarcopenia is less than 28.0kg for men and less than 18.0kg for women.
Physical function AWGS recommends the use of the 6M walking test, 5 times sitting up test to assess physical function. The time required to walk 6m at a normal pace from the beginning of the movement, without acceleration or deceleration halfway, and measured at least 2 times to record the average speed. The bound value is 1.0m/s. If the patient was unable to walk independently, a five-time sitting test was used to replace the walking test, with a threshold of ≥12s.
Data statistics
1) The prevalence of sarcopenia in PD patients was statistically analyzed; 2) The prevalence of sarcopenia in PD patients stratified by age, sex and H-Y; 3) Correlation between sarcopenia and other factors using Logistic regression model.5. Main innovations
6. Expected results and assessment indicators of the project
Assessment indicators Published 1 paper in the core journal.
Inclusion Criteria:
Exclusion Criteria: