PUMCH Dementia Longitudinal Cohort Study
Peking Union Medical College Hospital (PUMCH) Dementia Longitudinal Cohort Study
1 other identifier
observational
20,000
1 country
1
Brief Summary
The PUMCH Dementia Cohort is a hospital-based, observational study of Chinese elderly with cognitive impairment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2020
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2020
CompletedFirst Submitted
Initial submission to the registry
July 31, 2021
CompletedFirst Posted
Study publicly available on registry
August 26, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2040
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2040
September 13, 2022
September 1, 2022
20.1 years
July 31, 2021
September 10, 2022
Conditions
Outcome Measures
Primary Outcomes (18)
The incidence of dementia
Through follow up of cognitive normal control ,to find the incidence of dementia in PUMCH cohort
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
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
Through study completion,an average of 10-20 years
Cognitive decline
Use a systematic neuropsychological battery designed by PUMCH
Through study completion,an average of 10-20 years
Functional decline
Use Activity of Daily Living Scale(ADL)
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.
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.
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.
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
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
Through study completion,an average of 10 years
CSF collection for assessing new dementia biomarker
Use collected CSF to assess new biomarkers.
Through study completion,an average of 10 years
Serum collection for assessing new dementia biomarker
Use collected serum to assess new biomarkers.
Through study completion,an average of 10 years
Urine collection for assessing new dementia biomarker
Use collected urine to assess new biomarkers.
Through study completion,an average of 10 years
Skin collection for assessing new dementia biomarker
Use collected skin for finding new biomarkers.
Through study completion,an average of 10 years
Biomarker differences of dementia
The differences of biomarkers in patients with different dementia.
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
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
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
Through study completion,an average of 10 years
Study Arms (4)
Early onset dementia
Dementia patients with onset age lower than 65y/o
Late onset dementia
Dementia patients with onset age between 65y/o and 85y/o
Oldest old dementia
Dementia patients with onset age older than 85y/o
Cognitive normal control
Normal Aging with normal cognitive function
Eligibility Criteria
We included age stratified dementia (early onset, late onset, oldest old) , including AD, FTD,VaD, DLB and mixed dementia. Also we include cognitive normal controls.
You may qualify if:
- Neurodegenerative dementia diagnosis based on 2011 NIA-AA criteria of Dementia
- Fixed care giver and can follow up regularly
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Peking Union Medical College Hospital
Beijing, China
Related Publications (6)
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.
PMID: 29653606BACKGROUNDOlsson 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.
PMID: 27068280BACKGROUNDNorton 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.
PMID: 25030513BACKGROUNDMcKhann 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.
PMID: 11708987BACKGROUNDRosenberg 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.
PMID: 29055814BACKGROUNDYang X, Wu M, Liang M, Zhang H, Li B, Mao C, Dong L, Wang Y, Xing H, Ren C, Huang Z, Wen Q, Ge Q, Yu Z, Feng F, Gao J, Huo L. Ultra-fast [18F]florbetapir PET imaging using the uMI Panorama PET/CT system. EJNMMI Phys. 2024 Dec 30;11(1):107. doi: 10.1186/s40658-024-00712-5.
PMID: 39738784DERIVED
Biospecimen
blood, CSF,urine,skin tissue, brain tissue
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Chenhui Mao, Doctor
Peking Union Medical College Hospital
Central Study Contacts
Jing Gao, Doctor
CONTACT
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 31, 2021
First Posted
August 26, 2021
Study Start
December 1, 2020
Primary Completion (Estimated)
December 31, 2040
Study Completion (Estimated)
December 31, 2040
Last Updated
September 13, 2022
Record last verified: 2022-09
Data Sharing
- IPD Sharing
- Will not share