The PUMCH Dementia Cohort is a hospital-based, observational study of Chinese elderly with cognitive impairment.
In China, the burden of dementia is increasing, which has a major impact on medical care, society, and the economy. In order to solve this important public health problem, a cohort study of cognitive impairment in the elderly should be carried out. We designed an age stratified dementia cohort and tried to to clarify the risk and prognostic factors, disease characteristics, cognitive evaluation, biomarkers, diagnosis, treatment of dementia and its subtypes in China. It is of great significance to establish a relatively comprehensive dementia database, improve the level of clinical diagnosis and treatment of cognitive impairment, and formulate prevention and treatment strategies for dementia. Baseline data collection and cohort establishing: Detailed clinical information including demographic data, clinical history, past history and physical examination are collected. Formatted neuropsychological battery is used in all patients, including screening tests (MMSE, MoCA-PUMCH, ADL, HAD) and domain specific evaluation (Memory, executive function, visual spatial, calculation, language). Samples including serum, CSF, urine, skin, saliva are stored. Every patient is followed up every 6 months. Autopsy brain tissue will be collected if patients died. The main contents of this study are following: 1. Explore the relationship between lifestyles, stress and dementia. 2. Assess risk factors for dementia. 3. Evaluating behavioral and psychological symptoms of dementia. 4. Improve the long-term follow-up cohort stratified by age and dementia type and construct the high standard information and sample bank. 5. Explore biomarkers of different groups of dementia, incorporating neuropsychology, multi-model neuroimaging, metabolics and proteomics based fluid biomarkers as well as genetic biomarkers. Autopsy after clinical follow up help to verify the biomarkers. 6. Establish and promote standardized and consistent biomarker detection methods. 7. Dementia education and training. 8. Use machine learning methods to establish computer-assisted dementia diagnosis system and evaluation system. Establish prediction models for the progression of dementia.
Study Type
OBSERVATIONAL
Enrollment
20,000
Peking Union Medical College Hospital
Beijing, China
RECRUITINGThe incidence of dementia
Through follow up of cognitive normal control ,to find the incidence of dementia in PUMCH cohort
Time frame: Through study completion,an average of 10-20 years
The relationship between lifestyles, stress (stressful events and their degree) and dementia
Analysis of the relationship between lifestyles, stress and progression of dementia. Discover lifestyle factors (such as diet, residential environment, physical activity, hobbies, and sleep) and stress (stressful events and their degree) by using a questionnaire designed by PUMCH
Time frame: Through study completion,an average of 10 years
Risk factors for dementia
Collect the risk factors in normal control and analysis the relationship after diagnosis of dementia
Time frame: Through study completion,an average of 10-20 years
Cognitive decline
Use a systematic neuropsychological battery designed by PUMCH
Time frame: Through study completion,an average of 10-20 years
Functional decline
Use Activity of Daily Living Scale（ADL）
Time frame: Through study completion,an average of 10-20 years
Changes in the Neuropsychiatric Index (NPI)
In dementia patients, analysis their behavioral and psychological symptoms and the related factor. Discover the relationship between behavioral and psychological symptoms and biomarkers for dementia.
Time frame: Through study completion,an average of 10 years
Changes in the Hospital Anxiety and Depression scale (HAD)
In dementia patients, analysis their behavioral and psychological symptoms and the related factor. Discover the relationship between behavioral and psychological symptoms and biomarkers for dementia.
Jing Gao, Doctor
CONTACT
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Time frame: Through study completion,an average of 10 years
Changes in the Cornell Scale for dementia
In dementia patients, analysis their behavioral and psychological symptoms and the related factor. Discover the relationship between behavioral and psychological symptoms and biomarkers for dementia.
Time frame: Through study completion,an average of 10 years
Tau and Beta-amyloid biomarkers in CSF
Concentration ( pg/mL) of beta-amyloid, tau and phospho-tau in cerebrospinal fluid (CSF) of patients with dementia and controls
Time frame: Through study completion,an average of 10 years
Tau biomarkers in serum
Concentration ( pg/mL) of tau in serum of patients with dementia and controls
Time frame: Through study completion,an average of 10 years
CSF collection for assessing new dementia biomarker
Use collected CSF to assess new biomarkers.
Time frame: Through study completion,an average of 10 years
Serum collection for assessing new dementia biomarker
Use collected serum to assess new biomarkers.
Time frame: Through study completion,an average of 10 years
Urine collection for assessing new dementia biomarker
Use collected urine to assess new biomarkers.
Time frame: Through study completion,an average of 10 years
Skin collection for assessing new dementia biomarker
Use collected skin for finding new biomarkers.
Time frame: Through study completion,an average of 10 years
Biomarker differences of dementia
The differences of biomarkers in patients with different dementia.
Time frame: Through study completion,an average of 10 years
Incorporating age stratified biomarkers into the diagnosis of dementia
Comparing the relationships between biomarkers and clinical presentations. Incorporate biomarkers into the accurate and early diagnosis of dementia
Time frame: Through study completion,an average of 10 years
Dementia education and training
Observe the function of education and training in the treatment and care of dementia patients
Time frame: Through study completion,an average of 10 years
Dementia diagnosis system and evaluation system
Use machine learning methods to establish computer-assisted dementia diagnosis system and evaluation system. Establish prediction models for the progression of dementia
Time frame: Through study completion,an average of 10 years