Clinical Trial Details
— Status: Recruiting
Administrative data
| NCT number |
NCT05797402 |
| Other study ID # |
2020YFC2004800 |
| Secondary ID |
|
| Status |
Recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
January 1, 2013 |
| Est. completion date |
June 2023 |
Study information
| Verified date |
April 2023 |
| Source |
Beijing Anzhen Hospital |
| Contact |
Shao-ping Nie, MD,PhD |
| Phone |
8613701186772 |
| Email |
spnie[@]ccmu.edu.cn |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The investigators aim to establish a clinical database and biobank for elderly patients with
multiple diseases. The collected data will include demographic information, comorbidity
characteristic, FRAIL scale, age-adjusted Charlson comorbidity index, relevant blood tests,
the results of imaging examination, prescription of drugs, length of hospital stay, number of
overall rehospitalizations and death. With this database, the investigators intend to
formulate an individualized treatment strategy for these patients.
Description:
According to the China Health and Aging Tracking Survey, a significant proportion of elderly
individuals aged over 65 suffer from two or more chronic diseases, with prevalence rates
ranging from 22.5% to 47.5%. However, due to the decentralized storage of health data, lack
of standardization, and collaboration barriers, it is challenging to make use of this
information in a meaningful way.Therefore, there is an urgent need to overcome the technical
challenges and build an intelligent diagnosis and treatment system for this vulnerable
population.
To achieve this goal, it is necessary to establish a clinical database and biobank that
includes data on all elderly patients with multimorbidity. This will enable researchers to
conduct clinical research on various factors, including clinical and biological predictors of
adverse events such as emergency visits, strokes, heart failure, myocardial infarction,
tumors, and acute chronic obstructive pulmonary disease. Additionally, the database will
facilitate the development of systematic and individualized evaluation tools for elderly
patients with multimorbidity, identify prognostic factors that improve short- and long-term
outcomes, and enable the participation in multi-center trials at the national or
international level. Ultimately, this effort will help establish clinical database and
biobank data collection standards for future studies.
