New sequential algorithm using Mac-2 binding protein glycosylation isomer to detect advanced carotid artery...

Area of Science:

• Cardiology
• Vascular Medicine
• Biomarkers

Background:

• Carotid artery sonography is common but not recommended for the general population.
• Effective algorithms are needed to identify individuals with advanced carotid artery atherosclerosis in community settings.

Purpose of the Study:

• To evaluate a sequential algorithm using atherosclerotic cardiovascular disease (ASCVD) risk index and Mac-2 binding protein glycosylation isomer (M2BPGi) for indicating carotid artery sonography.

Main Methods:

• A cross-sectional study included 228 adult health check-up participants.
• Serum M2BPGi levels were quantified using a lectin antibody sandwich immunoassay.
• Subclinical atherosclerosis was diagnosed via carotid ultrasonography.

Main Results:

• Prevalence of subclinical and advanced atherosclerosis was 37.2% and 11.8%, respectively.
• Serum M2BPGi levels were higher in subjects with calcified plaque and luminal stenosis (P<0.05).
• The sequential algorithm demonstrated a 93.6% negative predictive value and 53.8% positive predictive value, potentially avoiding unnecessary sonography in 35% of intermediate-risk individuals.

Conclusions:

• A sequential algorithm integrating ASCVD risk (≥7.5%) and M2BPGi levels (≥0.525) offers a reasonable indication for carotid artery sonography in community settings.
• This approach can help optimize screening and reduce unnecessary procedures.