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

被引：3

作者：

Yoshida, Akira ^{[1
,2
]}

Jinnouchi, Hideaki ^{[1
]}

Sugiyama, Seigo ^{[1
]}

Hirose, Jun ^{[2
]}

Segata, Tateki ^{[2
]}

Furuta, Kazue ^{[1
]}

Katahira, Kazuhiro ^{[3
]}

Kajiwara, Keizo ^{[1
]}

Hieshima, Kunio ^{[1
]}

Jinnouchi, Tomio ^{[1
]}

Usuku, Koichiro ^{[2
]}

机构：

[1] Jinnouchi Clin, Chuo Ku, 6-2-3 Kuhonji, Kumamoto 8620976, Japan

[2] Kumamoto Univ Hosp, Dept Med Informat Sci & Adm Planning, Chuo Ku, 1-1-1 Honjo, Kumamoto 8608556, Japan

[3] Kumamoto City Hosp, Dept Diagnost Radiol, Minami Ku, 1-5-1 Tainoshima, Kumamoto 8620965, Japan

来源：

DIABETES RESEARCH AND CLINICAL PRACTICE | 2016年 / 117卷

关键词：

Coronary artery stenosis; Type 2 diabetes mellitus; Risk factors; Ankle-brachial index; RISK-FACTORS; HEART-DISEASE; MICROVASCULAR COMPLICATIONS; ASSOCIATION; ATHEROSCLEROSIS; INTERVENTION; PROGRESSION; PREVALENCE; MORTALITY; ACCURACY;

D O I：

10.1016/j.diabres.2016.04.013

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Aims: Patients 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. Methods: A 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 201- and 2011 (validation study). Results: In 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. Conclusions: We 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. (C) 2016 The Authors. Published by Elsevier Ireland Ltd.

引用

页码：91 / 99

页数：9