Selective association of electrocardiographic abnormalities with insulin sensitivity and beta-cell function in type 2 diabetes mellitus: a cross-sectional analysis.
Selective association of electrocardiographic abnormalities with insulin sensitivity and beta-cell function in type 2 diabetes mellitus: a cross-sectional analysis.
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DOI:
10.1002/dmrr.2794
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发表时间:
2016-10
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影响因子:
--
通讯作者:
Reilly MP
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文献类型:
--
作者:
Bhatt AB;Mulvey CK;Qasim AN;Nair JV;Rickels MR;Prenner SB;Iqbal N;Reilly MP
We investigated the association of electrocardiographic (ECG) abnormalities with markers of insulin resistance and pancreatic beta-cell dysfunction in a cross-sectional study of type 2 diabetic patients. ECG criteria were evaluated in the Penn Diabetes Heart Study (PDHS) participants (n=1671; 64% male; 61% Caucasian), including a sub-sample (n=710) that underwent oral glucose tolerance testing (OGTT). The Matsuda Insulin Sensitivity Index (MISI) and homeostasis model assessment of insulin resistance (HOMA-IR) estimated insulin sensitivity; Insulinogenic Index (IGI) and homeostasis model assessment of beta-cell function (HOMA-B) assessed beta-cell function. Multivariable regression modeling was used to analyze associations of ECG changes with these indices. In unadjusted analyses, subjects in the highest quartile of MISI had the lowest prevalence of Q-waves (6.3% vs. 15.3%, p = 0.005). In adjusted models, an inverse association was seen between Q-waves and log MISI [one standard-deviation (SD) increase; OR=0.59 (95% CI 0.43–0.87 p = 0.001)]. In the full PDHS, there was a direct association between Q-waves and HOMA-IR [one SD increase; OR=1.43 (95% CI 1.13–1.81, p = 0.003)]. In adjusted models, left ventricular hypertrophy (LVH) also was inversely associated with MISI and directly with HOMA-IR. Higher IGI scores were associated with a lower prevalence of nonspecific ST changes [OR=0.78 (95% CI 0.62–0.98, p = 0.032)]. In type 2 diabetic patients, both OGTT- and HOMA-derived measures of insulin resistance were associated with pathologic Q waves and LVH on ECGs.
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