Blood Biomarker Discovery by Raman Spectroscopy in Acute Aortic Dissection
NCT05206032 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500
Last updated 2022-01-25
Summary
This study intends to collect about 500 cases of blood samples from acute aortic dissection (AAD) and other acute chest pain diseases (eg, AMI, PE, or angina).The investigators tend to detect Raman metabolic profile of blood samples collected from AAD and other control groups using the Raman spectroscopy. The data collected will be analyzed and used to create a Raman database able to provide a classification model based on machine learning. The investigators then compared them with healthy participants to evaluate the diagnostic performance of different levels of Raman metabolic profile at discriminating AAD from other diagnoses and assess whether Raman metabolic profile is a potential novel biomarker for AAD under different circumstances.
Conditions
- Acute Aortic Dissection
Interventions
- OTHER
-
Raman spectroscopy
Blood (serum or plasma) will be collected, processed and analysed through Raman spectroscopy. Data acquired will be normalized and treated for the creation of the classification model.
Sponsors & Collaborators
-
First Affiliated Hospital Xi'an Jiaotong University
lead OTHER
Principal Investigators
-
Zhanqin Zhang, PHD · The First Affiliated Hospital of Xi 'an Jiaotong University
Eligibility
- Min Age
- 18 Years
- Max Age
- 90 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-12-01
- Primary Completion
- 2022-12-31
- Completion
- 2022-12-31
Countries
- China
Study Locations
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