Prevalence of metabolic syndrome in elderly Japanese-Brazilians

Background: Prevalence of individuals with a high cardiovascular risk is elevated in elderly populations. Although metabolic syndrome (MS) increases cardiovascular risk, information is scarce on the prevalence of MS in the elderly. In this study we assessed MS prevalence in a population of elderly Japanese-Brazilians using different MS definitions according to waist circumference cutoff values. Material/Methods: We studied 339 elderly subjects, 44.8% males, aged between 60 to 88 years (70.1 +/- 6.8). MS was defined according to criteria proposed by the Joint Interim Statement in 2009. As waist circumference cutoff point values remain controversial for Asian and Japanese populations, we employed 3 different cutoffs that are commonly used in Japanese epidemiological studies: 1) >90 cm for men and >80 cm for women; 2) >85 cm for men and >90 cm for women; 3) >85 cm for men and >80 cm for women. Results: MS prevalence ranged from 59.9% to 65.8% according to the different definitions. We observed 90% concordance and no statistical difference (p>0.05) in MS prevalence between the 3 definitions. MS diagnosis according to all 3 cutoff values was found in 55.8% of our population, while in only 34.2% was MS discarded by all cutoffs. The prevalence of altered MS components was as follows: arterial blood pressure 82%, fasting glycemia 65.8%, triglyceride 43.4%, and HDL-C levels 36.9%. Conclusions: Elderly Japanese-Brazilians present high metabolic syndrome prevalence independent of waist circumference cutoff values. Concordance between the 3 definitions is high, suggesting that all 3 cutoff values yield similar metabolic syndrome prevalence values in this population.

Sensitivity, specificity and predictive values of linear and nonlinear indices of heart rate variability in stable angina patients

Abstract Background Decreased heart rate variability (HRV) is related to higher morbidity and mortality. In this study we evaluated the linear and nonlinear indices of the HRV in stable angina patients submitted to coronary angiography. Methods We studied 77 unselected patients for elective coronary angiography, which were divided into two groups: coronary artery disease (CAD) and non-CAD groups. For analysis of HRV indices, HRV was recorded beat by beat with the volunteers in the supine position for 40 minutes. We analyzed the linear indices in the time (SDNN [standard deviation of normal to normal], NN50 [total number of adjacent RR intervals with a difference of duration greater than 50ms] and RMSSD [root-mean square of differences]) and frequency domains ultra-low frequency (ULF) ≤ 0,003 Hz, very low frequency (VLF) 0,003 – 0,04 Hz, low frequency (LF) (0.04–0.15 Hz), and high frequency (HF) (0.15–0.40 Hz) as well as the ratio between LF and HF components (LF/HF). In relation to the nonlinear indices we evaluated SD1, SD2, SD1/SD2, approximate entropy (−ApEn), α1, α2, Lyapunov Exponent, Hurst Exponent, autocorrelation and dimension correlation. The definition of the cutoff point of the variables for predictive tests was obtained by the Receiver Operating Characteristic curve (ROC). The area under the ROC curve was calculated by the extended trapezoidal rule, assuming as relevant areas under the curve ≥ 0.650. Results Coronary arterial disease patients presented reduced values of SDNN, RMSSD, NN50, HF, SD1, SD2 and -ApEn. HF ≤ 66 ms2, RMSSD ≤ 23.9 ms, ApEn ≤−0.296 and NN50 ≤ 16 presented the best discriminatory power for the presence of significant coronary obstruction. Conclusion We suggest the use of Heart Rate Variability Analysis in linear and nonlinear domains, for prognostic purposes in patients with stable angina pectoris, in view of their overall impairment.