This site is intended for Healthcare professionals only.

How to accurately Predict Subclinical Atherosclerosis in Low-Risk Individuals ?


How to accurately Predict Subclinical Atherosclerosis in Low-Risk Individuals ?

The established ideal cardiovascular health score (ICHS) and the new Fuster-BEWAT score (FBS) predict the presence and extent of subclinical atherosclerosis with similar accuracy. Simpler tools like Fuster-BEWAT (blood pressure [B], exercise [E], weight [W], alimentation [A], and tobacco [T]) score (FBS), does not require laboratory tests.The findings have been published  in the Journal of the American College of Cardiology.

Juan Miguel Fernandez-Alvira, PhD, et al. conducted the study  to compare the effectiveness of ICHS and FBS in predicting the presence and extent of subclinical atherosclerosis.

The investigators enrolled a total of 3,983 participants 40 to 54 years of age in the PESA (Progression of Early Subclinical Atherosclerosis) cohort. Subclinical atherosclerosis was measured in right and left carotids, abdominal aorta, right and left iliofemoral arteries, and coronary arteries. Subjects were classified as having poor, intermediate, or ideal cardiovascular health based on the number of favorable ICHS or FBS.

The researchers found that with poor ICHS and FBS as references, individuals with ideal ICHS and FBS showed lower adjusted odds of having atherosclerotic plaques (ICHS odds ratio [OR]: 0.41; 95% confidence interval [CI]: 0.31 to 0.55 vs. FBS OR: 0.49; 95% CI: 0.36 to 0.66), coronary artery calcium (CACS) ≥1 (CACS OR: 0.41; 95% CI: 0.28 to 0.60 vs. CACS OR: 0.53; 95% CI: 0.38 to 0.74), higher number of affected territories (OR: 0.32; 95% CI: 0.26 to 0.41 vs. OR: 0.39; 95% CI: 0.31 to 0.50), and higher CACS level (OR: 0.40; 95% CI: 0.28 to 0.58 vs. OR: 0.52; 95% CI: 0.38 to 0.72). Similar levels of significantly discriminating accuracy were found for ICHS and FBS with respect to the presence of plaques (C-statistic: 0.694; 95% CI: 0.678 to 0.711 vs. 0.692; 95% CI: 0.676 to 0.709, respectively) and for CACS ≥1 (C-statistic: 0.782; 95% CI: 0.765 to 0.800 vs. 0.780; 95% CI: 0.762 to 0.798, respectively).

Area under the curve (AUC) analyses found similar accuracy of ICHS and FBS for predicting the presence of plaque or CACS ≥1 and generalized subclinical atherosclerosis.

It was concluded that both scores predict the presence and extent of subclinical atherosclerosis with similar accuracy, highlighting the value of the FBS as a simpler and more affordable score for evaluating the risk of subclinical disease.The results of these analyses demonstrate good and comparable predictive values with both scores for all outcomes in this cohort. “While the ICHS and the FBS show a similar predictive value for detecting subclinical disease, the FBS is simpler and does not need laboratory results. Therefore, it may be considered as the first option in settings where access to laboratory analysis is limited,” the investigators concluded.

For more details click on the link: DOI: 10.1016/j.jacc.2017.09.032

The following two tabs change content below.
Dr. Kamal Kant Kohli

Dr. Kamal Kant Kohli

A Medical practitioner with a flair for writing medical articles, Dr Kamal Kant Kohli joined Medical Dialogues as an Editor-in-Chief for the Speciality Medical Dialogues. Before Joining Medical Dialogues, he has served as the Hony. Secretary of the Delhi Medical Association as well as the chairman of Anti-Quackery Committee in Delhi and worked with other Medical Councils of India. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751
Source: acc.org

Share your Opinion Disclaimer

Sort by: Newest | Oldest | Most Voted