Combined arteriosclerotic assessment of ankle-brachial index and maximum intima-media thickness via CCTA is useful for predicting coronary artery stenosis in patients with type 2 diabetes

Abstract

AimsPatients with diabetes mellitus (DM) are likely to develop asymptomatic myocardial infarction as a complication. However, coronary artery lesions are difficult to assess in internal medicine. This study aimed to develop a prediction formula for coronary artery stenosis, as determined by coronary computed tomographic angiography (CCTA), by analyzing risk factors in patients with type 2 DM. MethodsA prediction formula was developed based on a multivariate analysis of common factors in patients with ⩾50% coronary artery stenosis in a cohort of 327 patients with type 2 DM who underwent CCTA between 2007 and 2009, and cutoff values were calculated (derivation study). The validity of the optimal cutoff value was confirmed in a separate cohort of 317 patients with type 2 DM who underwent CCTA between 2010 and 2011 (validation study). ResultsIn the derivation study, five predictive factors (presence/absence of hypertension, estimated glomerular filtration rate, maximum intima-media thickness [max-IMT], ankle-brachial index [ABI], and use/nonuse of diabetic medication) were used to develop a prediction formula. In the validation study, positive predictive value (PPV) and negative predictive value (NPV) of the cutoff value derived from the prediction formula were 53% and 73%, respectively. ConclusionsWe developed a novel formula to predict coronary artery stenosis using five predictive factors. This formula is useful for determining whether computed tomography (CT) examination is necessary, even in clinical settings without CCTA equipment. Early detection of coronary artery stenosis in patients with DM may also lead to better health outcomes.