scholarly journals Relationship between brachial-ankle pulse wave velocity and metabolic syndrome components in a Chinese population

2014 ◽  
Keyword(s):  
Metabolic Syndrome ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Chinese Population ◽  
Pulse Wave ◽  
Metabolic Syndrome Components

scholarly journals e0279 Alteration of regional pulse wave velocity in Beijing general residents and its relationship with metabolic syndrome components

Heart ◽  
2010 ◽  
Vol 96 (Suppl 3) ◽  
pp. A87-A87
Author(s):  
B. Suyan ◽  
L. Leiming ◽  
X. Tiehui ◽  
Q. Liping ◽  
W. Hongmei ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Metabolic Syndrome Components

Pulse Wave Velocity Is Associated with Metabolic Syndrome Components in CAPD Patients

2008 ◽  
Vol 28 (4) ◽  
pp. 641-646 ◽  
Author(s):  
Xing-wei Zhe ◽  
Jing Zeng ◽  
Xin-kui Tian ◽  
Wei Chen ◽  
Yue Gu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Metabolic Syndrome Components

scholarly journals Pulse wave velocity is decreased with obesity in an elderly Chinese population

2019 ◽  
Vol 21 (9) ◽  
pp. 1379-1385 ◽  
Author(s):  
Hui Yang ◽  
Jiehui Zhao ◽  
Xueqin Deng ◽  
Isabella Tan ◽  
Mark Butlin ◽  
...  
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Chinese Population ◽  
Pulse Wave ◽  
Elderly Chinese

scholarly journals Metabolic Syndrome Including Glycated Hemoglobin A1c in Adults: Is It Time to Change?

2019 ◽  
Vol 8 (12) ◽  
pp. 2090
Author(s):  
Iván Cavero-Redondo ◽  
Vicente Martínez-Vizcaíno ◽  
Celia Álvarez-Bueno ◽  
Cristina Agudo-Conde ◽  
Cristina Lugones-Sánchez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Goodness Of Fit ◽  
Pulse Wave ◽  
Clinical Performance ◽  
Intima Media Thickness ◽  
Vascular Damage ◽  
Creatinine Ratio ◽  
Single Factor

(1) Background: To assess the suitability of replacing conventional markers used for insulin resistance and dysglycemia by HbA1c in both the quantitative and qualitative metabolic syndrome (MetS) definition criteria; (2) Methods: Confirmatory factorial analysis was used to compare three quantitative definitions of MetS that consisted of many single-factor models, one of which included HbA1c as the dysglycemia indicator. After that, the model with the better goodness-of-fit was selected. Furthermore, a new MetS qualitative definition was proposed by replacing fasting plasma glucose with HbA1c > 5.7% in the International Diabetes Federation (IDF) definition. The clinical performance of these two MetS criteria (IDF and IDF-modified including HbA1c as the dysglycemia indicator) to predict vascular damage (pulse wave velocity [PWv], intima media thickness [IMT] and albumin-to-creatinine ratio [ACR]) was estimated; (3) Results: The single-factor model including HbA1c showed the better goodness-of-fit (χ2 = 2.45, df = 2, p = 0.293, CFI = 0.999, SRMR = 0.010). Additionally, the IDF-modified criteria gained in clinical performance to predict vascular damage (diagnostic Odds Ratio: 6.94, 1.34 and 1.90) for pulse wave velocity (PWv), intima media thickness (IMT) and albumin-to-creatinine ratio (ACR), respectively; and (4) Conclusions: These data suggest that HbA1c could be considered as a useful component to be included in the MetS definition.

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