Key result
Wrist circumference was higher in CAD versus non-CAD patients (17.85 vs 17.43 mm; P=0.017), but could not predict the presence of CAD or metabolic syndrome in multivariate logistic regression models.
Why the study?
The value of wrist circumference as an alternative measure for differentiating patients with coronary artery disease and metabolic syndrome was unclear.
Does wrist circumference predict the presence of coronary artery disease and metabolic syndrome in patients undergoing coronary angiography?
Observational (n=228)
Does wrist circumference predict the presence of coronary artery disease and metabolic syndrome in patients undergoing coronary angiography?
Wrist circumference is not an independent predictor of coronary artery disease or metabolic syndrome, despite weak correlations with lipid profiles.
Answers are grounded in this paper and cite their sources.
WrC lacks independent predictive value for CAD or METs; leaves open its utility beyond standard measures in prospective cohorts.
BACKGROUND: Recently, the value of various structural body components have been proposed for predicting cardio-metabolic risk. The present study aimed to assess the wrist circumference (WrC) as an alternative measure for differentiating patients with CAD and METs from those without CAD and METs. METHODS: We studied 228 consecutive subjects who underwent coronary angiography. Those with and without evidence of coronary artery involvement at angiography were considered as the coronary artery disease (CAD) group (n=139) and the non-CAD group (n=89), respectively. WrC was measured; and metabolic syndrome (METs) was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III criteria. RESULTS: WrC was significantly higher in CAD compared to non-CAD patients (17.85±1.29mm vs 17.43±1.29mm, P=0.017). The overall prevalence of METs was significantly different between the CAD and non-CAD subjects (74.3% vs 58.8%, P=0.016). Although there was a tendency for association, no statistically significant association between the mean of the WrC and the severity of CAD was found (P=0.065). WrC had a weak positive correlation with triglyceride (r=0.172, P=0.011) and cholesterol (r=0.141, P=0.038) level and a weak negative association with high-density lipoprotein level (r=-0.279, P<0.001). In multivariate logistic regression models, WrC could predict neither presence of CAD nor METs. CONCLUSION: Although correlated with METs-type lipid profile, WrC may not be a valuable index for predicting the presence of CAD or METs.
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Hajsadeghi et al. (2016) conducted an observational in Coronary artery disease and metabolic syndrome (n=228). Wrist circumference was evaluated on Presence of coronary artery disease or metabolic syndrome. Wrist circumference was higher in CAD versus non-CAD patients (17.85 vs 17.43 mm; P=0.017), but could not predict the presence of CAD or metabolic syndrome in multivariate logistic regression models.
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