کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2956363 1578047 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Glucose series complexity in hypertensive patients
ترجمه فارسی عنوان
پیچیدگی سری گلوکز در بیماران مبتلا به فشار خون بالا
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی سیستم های درون ریز و اتونومیک
چکیده انگلیسی

Nonlinear methods have been applied to the analysis of biological signals. Complexity analysis of glucose time series may be a useful tool for the study of the initial phases of glucoregulatory dysfunction. This observational, cross-sectional study was performed in patients with essential hypertension. Glucose complexity was measured with detrended fluctuation analysis (DFA), and glucose variability was measured by the mean amplitudes of glycemic excursion (MAGE). We included 91 patients with a mean age of 59 ± 10 years. We found significant correlations for the number of metabolic syndrome (MS)-defining criteria with DFA (r = 0.233, P = .026) and MAGE (r = 0.396, P < .0001). DFA differed significantly between patients who complied with MS and those who did not (1.44 vs. 1.39, P = .018). The MAGE (f = 5.3, P = .006), diastolic blood pressures (f = 4.1, P = .018), and homeostasis model assessment indices (f = 4.2, P = .018) differed between the DFA tertiles. Multivariate analysis revealed that the only independent determinants of the DFA values were MAGE (β coefficient = 0.002, 95% confidence interval: 0.001–0.004, P = .001) and abdominal circumference (β coefficient = 0.002, 95% confidence interval: 0.000015–0.004, P = .048). In our population, DFA was associated with MS and a number of MS criteria. Complexity analysis seemed to be capable of detecting differences in variables that are arguably related to the risk of the development of type 2 diabetes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the American Society of Hypertension - Volume 8, Issue 9, September 2014, Pages 630–636
نویسندگان
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