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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Hypertensive Subjects are More Likely to Develop Coronary Artery Lesions: A Study by Computerised Tomography Coronary
Eleni Tserioti1, Harmeet Chana2, Abdul-Majeed Salmasi2,3
1Imperial College School of Medicine, London, UK.
Insights
Hypertension is the strongest predictor of coronary artery disease (CAD) found in Coronary Computed Tomography Angiography (CCTA) scans. This finding highlights hypertension
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Coronary Computed Tomography Angiography (CCTA) is a key diagnostic tool for coronary artery disease (CAD).
- Identifying reliable predictors of CAD on CCTA is crucial for effective patient management and referral strategies.
Purpose of the Study:
- To review CCTA referral indications.
- To identify the strongest predictors of CAD as visualized on CCTA scans.
Main Methods:
- Retrospective study of 485 patient records from CCTA scans (July-November 2020).
- Analysis of patient demographics and clinical data against CCTA findings.
- Univariate and multiple logistic regression analyses were performed.
Main Results:
- Hypertension, diabetes mellitus, gender, dyslipidemia, and smoking were significantly associated with CAD presence.
- Hypertension demonstrated the strongest independent association with CAD (OR = 2.22, P < .001).
- Typical chest pain in hypertensive patients strongly correlated with significant CAD on CCTA.
Conclusions:
- Hypertension is the most significant independent predictor of CAD identified via CCTA.
- These findings underscore the importance of considering hypertension, especially with chest pain, when referring patients for CCTA.
Abstract:
Coronary Computed Tomography Angiography (CCTA) is commonly used to identify coronary artery disease. In this study, the indications for CCTA referrals are reviewed, to identify the strongest predictors of CAD, as seen on CCTA. A retrospective study, reviewing the electronic health records of consecutive patients who underwent CCTA between July and November 2020 at our Trust, was conducted. A total of 485 patient reports were reviewed. Of patients with moderate-to-severe CAD, 128 (73.6%) were hypertensive. Of those with severe CAD, 79 patients (76%) were hypertensive. Univariate analysis for comparison of patients with absent (n = 219), mild (n = 92), moderate (n = 70) and severe (n = 104) CAD revealed that hypertension (P < .001), diabetes mellitus (P < .001), gender (P < .001), dyslipidemia (P < .001) and smoking (P = .006), were each significantly associated with the presence of CAD on CCTA. However, multiple logistic regression analysis confirmed that hypertension has the strongest association with CAD (OR = 2.22, P < .001) Furthermore, the presence of typical chest pain in hypertensive patients was strongly associated with significant CAD, on CCTA. Among all risk factors, hypertension is the strongest independent predictor for the presence of CAD on CCTA. These results suggest that hypertension is a significant factor when considering referral for CCTA, particularly when associated with chest pain.
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