A Registry Study of Biomarkers in Mitral Valve Disease (BIOMS-MVD)
NCT ID: NCT05141292
Last Updated: 2022-02-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
5000 participants
OBSERVATIONAL
2016-04-01
2025-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* The operator performs more than 25 mitral valve operations per year / the operator unit has surgeons who complete 50 operations per year
Exclusion Criteria
* Failure to obtain medical records and ultrasound data
* Refuse follow-up
18 Years
100 Years
ALL
No
Sponsors
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Chinese PLA General Hospital
OTHER
Beijing Institute of Heart, Lung and Blood Vessel Diseases
OTHER
Responsible Party
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Principal Investigators
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Jie Du
Role: STUDY_DIRECTOR
The Key Laboratory of Remodeling-Related Cardiovascular Disease, Ministry of Education, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart,Lung and Blood Vessel Diseases
Locations
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Beijing Anzhen Hospital
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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References
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Zhou N, Zhang K, Qiao B, Chen C, Guo X, Fu W, Zheng J, Du J, Dong R. Personalized risk prediction of mortality and rehospitalization for heart failure in patients undergoing mitral valve repair surgery. Front Cardiovasc Med. 2024 Nov 1;11:1470987. doi: 10.3389/fcvm.2024.1470987. eCollection 2024.
Zhou N, Ji Z, Li F, Qiao B, Lin R, Jiang W, Zhu Y, Lin Y, Zhang K, Li S, You B, Gao P, Dong R, Wang Y, Du J. Machine Learning-Based Personalized Risk Prediction Model for Mortality of Patients Undergoing Mitral Valve Surgery: The PRIME Score. Front Cardiovasc Med. 2022 Apr 1;9:866257. doi: 10.3389/fcvm.2022.866257. eCollection 2022.
Other Identifiers
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BIOMS-MVD
Identifier Type: -
Identifier Source: org_study_id
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