Prediction of Bleeding Risk After Anticoagulant Therapy for Atrial Fibrillation Based on Proteomics and Metabolomics
1 other identifier
observational
100
1 country
1
Brief Summary
Objectives: Atrial fibrillation (AF) is the most common arrhythmia. Anticoagulation with warfarin or new oral anticoagulants in patients with AF can significantly reduce thromboembolic events. However, due to the lack of bleeding risk predictors of oral anticoagulants, the bleeding risk of patients with AF cannot be accurately evaluated. The purpose of this study is to screen biomarkers that can predict bleeding in patients with AF through proteomics and metabolomics, and construct the protein metabolic network pathway of anticoagulant bleeding in patients with AF. Design: AF patients treated with oral anticoagulants were enrolled in this study. Blood samples were centrifuged and the supernatant was stored in the refrigerator at - 80 ℃. All patients were followed up for one year to determine whether bleeding occurred after oral anticoagulants. Proteomic data were obtained by LC-MS/MS Analysis-DIA platform. Metabolomic data were obtained by UPLC-QTOF/MS platform. All of the omics data were used to compare proteins/enzymes with metabolic pathways. Quantitative changes of individual metabolites and proteins were calculated and graphed using the KEGG mapping tools.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Dec 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 20, 2021
CompletedStudy Start
First participant enrolled
December 20, 2021
CompletedFirst Posted
Study publicly available on registry
January 6, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedJanuary 6, 2022
December 1, 2021
2 years
December 20, 2021
December 20, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Biomarkers predicting bleeding in AF patients through proteomics and metabolomics.
Proteomic data were obtained by LC-MS/MS Analysis-DIA platform. Metabolomic data were obtained by UPLC-QTOF/MS platform.
1 year
Secondary Outcomes (1)
Protein metabolic network pathway of anticoagulant bleeding in patients with AF.
1 year
Study Arms (2)
Bleeding
After one-year follow-up, AF patients with anticoagulation-related bleeding complications were enrolled in this group.
Non-bleeding
After one-year follow-up, AF patients without anticoagulation-related bleeding complications were enrolled in this group.
Interventions
Proteomic data were obtained by LC-MS/MS Analysis-DIA platform.
Metabolomic data were obtained by UPLC-QTOF/MS platform.
Eligibility Criteria
AF patients treated with oral anticoagulants were enrolled in this study. Blood samples were centrifuged and the supernatant was stored in the refrigerator at - 80 ℃. All patients were followed up for one year to determine whether bleeding occurred after oral anticoagulants.
You may qualify if:
- Age 18 years or above
- Admission with atrial fibrillation or clinic visit for atrial fibrillation
- Receive routine anticoagulant therapy;
- Signing the consent form
You may not qualify if:
- Pregnant women;
- Lactating women;
- Severe mitral stenosis;
- Severe impairment of liver function;
- Severe renal insufficiency;
- Thyroid dysfunction requiring treatment;
- Have a history of severe bleeding within five years, such as intracerebral hemorrhage and gastrointestinal bleeding.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yue LIlead
Study Sites (1)
Yan
Harbin, Heilongjiang, 150001, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Year
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
December 20, 2021
First Posted
January 6, 2022
Study Start
December 20, 2021
Primary Completion
December 31, 2023
Study Completion
December 31, 2023
Last Updated
January 6, 2022
Record last verified: 2021-12