- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05023564
PUMCH Dementia Longitudinal Cohort Study
Peking Union Medical College Hospital (PUMCH) Dementia Longitudinal Cohort Study
Study Overview
Status
Detailed Description
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:
- Explore the relationship between lifestyles, stress and dementia.
- Assess risk factors for dementia.
- Evaluating behavioral and psychological symptoms of dementia.
- Improve the long-term follow-up cohort stratified by age and dementia type and construct the high standard information and sample bank.
- 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.
- Establish and promote standardized and consistent biomarker detection methods.
- Dementia education and training.
- Use machine learning methods to establish computer-assisted dementia diagnosis system and evaluation system. Establish prediction models for the progression of dementia.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Chenhui Mao, Doctor
- Phone Number: +86018611895308
- Email: maochenhui@pumch.cn
Study Contact Backup
- Name: Jing Gao, Doctor
Study Locations
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Beijing, China
- Recruiting
- Peking Union Medical College Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Neurodegenerative dementia diagnosis based on 2011 NIA-AA criteria of Dementia
- Fixed care giver and can follow up regularly
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Early onset dementia
Dementia patients with onset age lower than 65y/o
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Late onset dementia
Dementia patients with onset age between 65y/o and 85y/o
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Oldest old dementia
Dementia patients with onset age older than 85y/o
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Cognitive normal control
Normal Aging with normal cognitive function
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The incidence of dementia
Time Frame: Through study completion,an average of 10-20 years
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Through follow up of cognitive normal control ,to find the incidence of dementia in PUMCH cohort
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Through study completion,an average of 10-20 years
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The relationship between lifestyles, stress (stressful events and their degree) and dementia
Time Frame: Through study completion,an average of 10 years
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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
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Through study completion,an average of 10 years
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Risk factors for dementia
Time Frame: Through study completion,an average of 10-20 years
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Collect the risk factors in normal control and analysis the relationship after diagnosis of dementia
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Through study completion,an average of 10-20 years
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Cognitive decline
Time Frame: Through study completion,an average of 10-20 years
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Use a systematic neuropsychological battery designed by PUMCH
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Through study completion,an average of 10-20 years
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Functional decline
Time Frame: Through study completion,an average of 10-20 years
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Use Activity of Daily Living Scale(ADL)
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Through study completion,an average of 10-20 years
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Changes in the Neuropsychiatric Index (NPI)
Time Frame: Through study completion,an average of 10 years
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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.
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Through study completion,an average of 10 years
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Changes in the Hospital Anxiety and Depression scale (HAD)
Time Frame: Through study completion,an average of 10 years
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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.
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Through study completion,an average of 10 years
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Changes in the Cornell Scale for dementia
Time Frame: Through study completion,an average of 10 years
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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.
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Through study completion,an average of 10 years
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Tau and Beta-amyloid biomarkers in CSF
Time Frame: Through study completion,an average of 10 years
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Concentration ( pg/mL) of beta-amyloid, tau and phospho-tau in cerebrospinal fluid (CSF) of patients with dementia and controls
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Through study completion,an average of 10 years
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Tau biomarkers in serum
Time Frame: Through study completion,an average of 10 years
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Concentration ( pg/mL) of tau in serum of patients with dementia and controls
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Through study completion,an average of 10 years
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CSF collection for assessing new dementia biomarker
Time Frame: Through study completion,an average of 10 years
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Use collected CSF to assess new biomarkers.
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Through study completion,an average of 10 years
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Serum collection for assessing new dementia biomarker
Time Frame: Through study completion,an average of 10 years
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Use collected serum to assess new biomarkers.
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Through study completion,an average of 10 years
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Urine collection for assessing new dementia biomarker
Time Frame: Through study completion,an average of 10 years
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Use collected urine to assess new biomarkers.
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Through study completion,an average of 10 years
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Skin collection for assessing new dementia biomarker
Time Frame: Through study completion,an average of 10 years
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Use collected skin for finding new biomarkers.
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Through study completion,an average of 10 years
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Biomarker differences of dementia
Time Frame: Through study completion,an average of 10 years
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The differences of biomarkers in patients with different dementia.
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Through study completion,an average of 10 years
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Incorporating age stratified biomarkers into the diagnosis of dementia
Time Frame: Through study completion,an average of 10 years
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Comparing the relationships between biomarkers and clinical presentations.
Incorporate biomarkers into the accurate and early diagnosis of dementia
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Through study completion,an average of 10 years
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Dementia education and training
Time Frame: Through study completion,an average of 10 years
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Observe the function of education and training in the treatment and care of dementia patients
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Through study completion,an average of 10 years
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Dementia diagnosis system and evaluation system
Time Frame: Through study completion,an average of 10 years
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Use machine learning methods to establish computer-assisted dementia diagnosis system and evaluation system.
Establish prediction models for the progression of dementia
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Through study completion,an average of 10 years
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Collaborators and Investigators
Investigators
- Principal Investigator: Chenhui Mao, Doctor, Peking Union Medical College Hospital
Publications and helpful links
General Publications
- Olsson B, Lautner R, Andreasson U, Ohrfelt A, Portelius E, Bjerke M, Holtta M, Rosen C, Olsson C, Strobel G, Wu E, Dakin K, Petzold M, Blennow K, Zetterberg H. CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis. Lancet Neurol. 2016 Jun;15(7):673-684. doi: 10.1016/S1474-4422(16)00070-3. Epub 2016 Apr 8.
- Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, Holtzman DM, Jagust W, Jessen F, Karlawish J, Liu E, Molinuevo JL, Montine T, Phelps C, Rankin KP, Rowe CC, Scheltens P, Siemers E, Snyder HM, Sperling R; Contributors. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018.
- Norton S, Matthews FE, Barnes DE, Yaffe K, Brayne C. Potential for primary prevention of Alzheimer's disease: an analysis of population-based data. Lancet Neurol. 2014 Aug;13(8):788-94. doi: 10.1016/S1474-4422(14)70136-X. Erratum In: Lancet Neurol. 2014 Nov;13(11):1070.
- McKhann GM, Albert MS, Grossman M, Miller B, Dickson D, Trojanowski JQ; Work Group on Frontotemporal Dementia and Pick's Disease. Clinical and pathological diagnosis of frontotemporal dementia: report of the Work Group on Frontotemporal Dementia and Pick's Disease. Arch Neurol. 2001 Nov;58(11):1803-9. doi: 10.1001/archneur.58.11.1803.
- Rosenberg A, Ngandu T, Rusanen M, Antikainen R, Backman L, Havulinna S, Hanninen T, Laatikainen T, Lehtisalo J, Levalahti E, Lindstrom J, Paajanen T, Peltonen M, Soininen H, Stigsdotter-Neely A, Strandberg T, Tuomilehto J, Solomon A, Kivipelto M. Multidomain lifestyle intervention benefits a large elderly population at risk for cognitive decline and dementia regardless of baseline characteristics: The FINGER trial. Alzheimers Dement. 2018 Mar;14(3):263-270. doi: 10.1016/j.jalz.2017.09.006. Epub 2017 Oct 19.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Mental Disorders
- Cardiovascular Diseases
- Vascular Diseases
- Cerebrovascular Disorders
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Arteriosclerosis
- Arterial Occlusive Diseases
- Neurocognitive Disorders
- Parkinsonian Disorders
- Basal Ganglia Diseases
- Movement Disorders
- Synucleinopathies
- Neurodegenerative Diseases
- Tauopathies
- Intracranial Arterial Diseases
- Intracranial Arteriosclerosis
- Leukoencephalopathies
- Dementia
- Alzheimer Disease
- Lewy Body Disease
- Dementia, Vascular
Other Study ID Numbers
- PUMCH Dementia Cohort
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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