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A Calcium Phosphate-Induced Mouse Abdominal Aortic Aneurysm Model
Published on: November 18, 2022
A Simple Blood Test, Such as Complete Blood Count, Can Predict Calcification Grade of Abdominal Aortic Aneurysm
Marika Vezzoli1, Stefano Bonardelli2,3, Michele Peroni2,3
1Department of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, 25123 Brescia, Italy.
Insights
Classical risk factors do not predict abdominal aortic aneurysm (AAA) calcification. However, mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) show strong associations with AAA calcification progression.
Area of Science:
- Cardiovascular Research
- Medical Diagnostics
- Atherosclerosis Research
Background:
- Abdominal aortic aneurysm (AAA) pathogenesis is complex, with calcification linked to increased complications.
- Identifying factors influencing AAA calcification progression is crucial for patient management.
Purpose of the Study:
- To investigate if classical AAA risk factors and cell blood count parameters can identify calcification progression.
- To explore potential biomarkers for monitoring AAA calcification.
Main Methods:
- Collected risk factor data from patients with AAA.
- Performed cell blood counts on AAA patients.
- Assessed aorta calcification using CT angiography.
Main Results:
- No association found between classical AAA risk factors and calcification grade.
- Strong association identified between mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) with calcification grade.
- Other analyzed cell blood count parameters showed no association with calcification.
Conclusions:
- MCV and MCH show potential as biomarkers for AAA calcification progression.
- These biomarkers could aid in discriminating patients needing rapid imaging and prompt treatment.
- Biomarkers may help avoid unnecessary imaging for patients not requiring immediate intervention.
Objective:
The pathogenesis of abdominal aortic aneurysm (AAA) is complex and different factors, including calcification, are linked to increased complications. This study was conducted in order to verify if classical risk factors for AAA and cell blood count parameter could help in the identification of calcification progression of the aneurysm.
Design:
Risk factors were collected and cell blood count was performed in patients with AAA and patients were analyzed for the presence of aorta calcification using CT angiography.
Results:
We found no association of calcification grade with risk factors for AAA but we found a strong association between MCV, MCH, and calcification grade. Instead, no association was found with the other parameter that we analyzed.
Conclusions:
In this study, we demonstrate that biomarkers such as MCV and MCH could have potential important information about AAA calcification progression and could be useful to discriminate between those patients that should undergo a rapid imaging, thus allowing prompt initiation of treatment of suspicious patients that do not need imaging repetition.
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