What does this research mean for the field?

In subjects with metabolic syndrome, waist circumference, blood pressure, and fasting blood glucose are critical predictors of coronary artery disease morbidity and mortality (RR: 3.167). Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The study aims to determine which component of metabolic syndrome is the best predictor for coronary artery disease morbidity and mortality.

February 8, 2026European Heart Journal

Which feature of the metabolic syndrome is better predictor for coronary artery disease morbidity and mortality; a prospective 10-year analysis

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Key result

Combined MetS components linked to ~217% greater CAD mortality risk.

RR 3.167

Why the study?

While studies have linked metabolic syndrome components to coronary morbidity and mortality, none have examined which specific component most accurately predicts CAD morbidity and mortality.

Which combinations of metabolic syndrome components best predict coronary artery disease morbidity and mortality in subjects with metabolic syndrome?

Population

3748 subjects with metabolic syndrome at baseline

Comparison

Ten groups categorized by presence of 3, 4, or 5 metabolic syndrome components

Design

Prospective cohort study

Follow-up

10 years

Authors

LBL BikdeluMashhad University of Medical Sciences MMM MoohebatiMashhad University of Medical Sciences MGM Ghayour-MobarhanMashhad University of Medical Sciences

Discussion

Member takes

Implication

May inform CAD risk stratification in MetS; hypothesis-generating and should not yet change practice.

Key Points

The study aims to determine which component of metabolic syndrome is the best predictor for coronary artery disease morbidity and mortality.
Prospective cohort study design initiated in 2010 with 10-year follow-up.
9704 subjects recruited in phase I; 3748 with metabolic syndrome selected for analysis.
Cox regression models assessed the association between metabolic syndrome components and CAD risk and mortality.
505 subjects with metabolic syndrome developed CAD; 81 resulted in death.
Waist circumference, blood pressure, and fasting blood glucose were highlighted as significant risk factors.
Having all metabolic syndrome components increased CAD mortality risk by three times.

Structured PICO

Which combinations of metabolic syndrome components best predict coronary artery disease morbidity and mortality in subjects with metabolic syndrome?

Population

3,748 subjects with metabolic syndrome (defined by International Diabetes Federation criteria) at baseline, selected from a larger prospective cohort of 9,704 subjects.

Intervention

Presence of specific combinations of metabolic syndrome components (3, 4, or 5 components, including waist circumference, blood pressure, fasting blood glucose, triglycerides, and high-density lipoprotein).

Outcome

Coronary artery disease (CAD) morbidity and mortality over 10 years.hard clinical

High waist circumference, high blood pressure, and high fasting blood glucose are more critical predictors of CAD development than lipid profile abnormalities in patients with metabolic syndrome.

Cite This Study

Bikdelu et al. (2025) studied this question. High waist circumference, blood pressure, and fasting blood glucose independently raise CAD risk (RR ~2.1-2.3), and combined MetS components triple CAD mortality risk (RR 3.167).

synapsesocial.com/papers/698828410fc35cd7a88479c6 https://doi.org/10.1093/eurheartj/ehaf784.3625

Topics

Coronary artery disease

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Which feature of the metabolic syndrome is better predictor for coronary artery disease morbidity and mortality; a prospective 10-year analysis

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Topics

Which feature of the metabolic syndrome is better predictor for coronary artery disease morbidity and mortality; a prospective 10-year analysis

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Also Consider

Topics

Also Consider