跳至主要内容
临床试验/NCT05023564
NCT05023564招募中不适用

Peking Union Medical College Hospital (PUMCH) Dementia Longitudinal Cohort Study

Peking Union Medical College Hospital1 个研究点 分布在 1 个国家目标入组 20,000 人开始时间: 2020年12月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
20,000
试验地点
1
主要终点
Changes in the Cornell Scale for dementia

研究概览

简要总结

The PUMCH Dementia Cohort is a hospital-based, observational study of Chinese elderly with cognitive impairment.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Neurodegenerative dementia diagnosis based on 2011 NIA-AA criteria of Dementia
  • Fixed care giver and can follow up regularly

排除标准

  • Not demented, including MCI
  • Systemic severe diseases and severe vision or hearing problem effecting follow up and neuropsychological evaluation
  • Without fixed care giver
  • Reject informed consent
  • Expected life shorter than 2 years

结局指标

主要结局

Changes in the Cornell Scale for dementia

时间窗: Through study completion,an average of 10 years

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.

Dementia education and training

时间窗: Through study completion,an average of 10 years

Observe the function of education and training in the treatment and care of dementia patients

Tau and Beta-amyloid biomarkers in CSF

时间窗: Through study completion,an average of 10 years

Concentration ( pg/mL) of beta-amyloid, tau and phospho-tau in cerebrospinal fluid (CSF) of patients with dementia and controls

Tau biomarkers in serum

时间窗: Through study completion,an average of 10 years

Concentration ( pg/mL) of tau in serum of patients with dementia and controls

CSF collection for assessing new dementia biomarker

时间窗: Through study completion,an average of 10 years

Use collected CSF to assess new biomarkers.

Skin collection for assessing new dementia biomarker

时间窗: Through study completion,an average of 10 years

Use collected skin for finding new biomarkers.

Cognitive decline

时间窗: Through study completion,an average of 10-20 years

Use a systematic neuropsychological battery designed by PUMCH

The relationship between lifestyles, stress (stressful events and their degree) and dementia

时间窗: Through study completion,an average of 10 years

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

Risk factors for dementia

时间窗: Through study completion,an average of 10-20 years

Collect the risk factors in normal control and analysis the relationship after diagnosis of dementia

Functional decline

时间窗: Through study completion,an average of 10-20 years

Use Activity of Daily Living Scale(ADL)

Changes in the Neuropsychiatric Index (NPI)

时间窗: Through study completion,an average of 10 years

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.

Changes in the Hospital Anxiety and Depression scale (HAD)

时间窗: Through study completion,an average of 10 years

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.

Serum collection for assessing new dementia biomarker

时间窗: Through study completion,an average of 10 years

Use collected serum to assess new biomarkers.

Urine collection for assessing new dementia biomarker

时间窗: Through study completion,an average of 10 years

Use collected urine to assess new biomarkers.

Dementia diagnosis system and evaluation system

时间窗: Through study completion,an average of 10 years

Use machine learning methods to establish computer-assisted dementia diagnosis system and evaluation system. Establish prediction models for the progression of dementia

The incidence of dementia

时间窗: Through study completion,an average of 10-20 years

Through follow up of cognitive normal control ,to find the incidence of dementia in PUMCH cohort

Biomarker differences of dementia

时间窗: Through study completion,an average of 10 years

The differences of biomarkers in patients with different dementia.

Incorporating age stratified biomarkers into the diagnosis of dementia

时间窗: Through study completion,an average of 10 years

Comparing the relationships between biomarkers and clinical presentations. Incorporate biomarkers into the accurate and early diagnosis of dementia

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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