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of Ili Kazakh Autonomous Prefecture, China

Jia E.-Z.,Nanjing Medical University | An F.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | Liu P.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | Li F.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | And 3 more authors.
Internal Medicine | Year: 2012

Objective The objective of the present multi-ethnic study was to explore whether an association exists between brachial-ankle pulse wave velocity (baPWV) and cardiovascular risk factors in China. Methods Two hundred sixty-four adult subjects (152 subjects were of Han nationality, 70 subjects were from Uygur, 19 subjects were from Kazakh, 15 subjects were from Hui, and 8 subjects were of other nationalities.) aged 30-82 years were enrolled in the present study. The subjects' anthropometric, baPWV and laboratory measurements were recorded. Results Age (p=0.000), systolic blood pressure (p=0.000), diastolic blood pressure (p=0.002), fasting blood glucose (p=0.000), and hemoglobin (p=0.019) differed significantly among the subjects in the baPWV quartile. Spearman correlation analyses indicated that baPWV was significantly and positively associated with age (r=0.584, p=0.000), systolic blood pressure (r=0.396, p=0.000), diastolic blood pressure (r=0.217, p=0.000), and fasting blood glucose (r=0.231, p=0.000). baPWV was significantly and negatively associated with erythrocyte number (r=-0.181, p=0.003) and hemoglobin (r=-0.192, p=0.002) levels. Multiple regression analyses suggested that age (β=0.573, p=0.000), systolic blood pressure (β=0.181, p=0.003), triglycerides (β=0.160, p=0.008), and cholesterol (β=0.132, p=0.020) were independently associated with baPWV. Conclusion Age, SBP, triglycerides, and cholesterol levels are independently and positively associated with baPWV. © 2012 The Japanese Society of Internal Medicine. Source


Jia E.-Z.,Nanjing Medical University | Chen Z.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | An F.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | Li L.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | And 11 more authors.
Scientific Reports | Year: 2014

We performed a large, long-term cohort study to evaluate the association of renin-angiotensin-aldosterone system gene polymorphisms and baseline phenotypes to all-cause mortality among patients with angiographically confirmed coronary atherosclerosis. The study included 1075 subjects who underwent coronary angiography. Patients were genotyped for eight polymorphisms (rs4343, rs5186, rs5182, rs5049, rs5051, rs699, rs4762, and rs1799998), and their baseline plasma angiotensin II and aldosterone levels were measured. The interval between baseline and follow-up time-points ranged from 6.39 to 9.59 years. The results of multivariate regression analysis further indicated that high baseline angiotensin II levels (1.226 (1.024-1.468), p = 0.027) were independently associated with all-cause death. Therefore, we found that an increased baseline plasma angiotensin II level was associated with higher long-term all-cause mortality, even after correcting for established cardiovascular risk factors. Source


Li Z.-Y.,Nanjing Medical University | Pu-Liu,Friendship Hospital of Ili Kazakh Autonomous Prefecture | Chen Z.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | An F.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | And 12 more authors.
PLoS ONE | Year: 2014

Objective: to explore the impact of admission serum creatinine concentration on the in-hospital mortality and its interaction with age and gender in patients with acute ST-segment elevation myocardial infarction (STEMI) in China. Methods: 1424 acute STEMI patients were enrolled in the study. Anthropometric and laboratory measurements were collected from every patient. A Cox proportional hazards regression model was used to determine the relationships between the admission serum creatinine level (Cr level), age, sex and the in-hospital mortality. A crossover analysis and a stratified analysis were used to determine the combined impact of Cr levels with age and gender. Results: Female (HR 1.687, 95%CI 1.051-2.708), elevated Cr level (HR 5.922, 95%CI 3.780-9,279) and old age (1.692, 95%CI 1.402-2.403) were associated with a high risk of death respectively. After adjusting for other confounders, the renal dysfunction was still independently associated with a higher risk of death (HR 2.48, 95% CI 1.32-4.63), while female gender (HR 1.19, 95%CI 0.62-2.29) and old age (HR 1.77, 95%CI 0.92-3.37) was not. In addition, crossover analysis revealed synergistic effects between elevated Cr level and female gender (SI = 3.01, SIM = 2.10, AP = 0.55). Stratified analysis showed that the impact of renal dysfunction on in-hospital mortality was more pronounced in patients <60 years old (odds ratios 11.10, 95% CI 3.72 to 33.14) compared with patients 60 to 74 years old (odds ratios 5.18, 95% CI 2.48-10.83) and patients ≥ 75years old (odds ratios 3.99, 95% CI 1.89 to 8.42). Conclusion: Serum Cr concentration on admission was a strong predictor for in-hospital mortality among Chinese acute STEMI patients especially in the young and the female. © 2014 Li et al. Source


Jia E.-Z.,Nanjing Medical University | An F.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | Chen Z.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | Li L.-H.,Friendship Hospital of Ili Kazakh Autonomous Prefecture | And 9 more authors.
Cellular Physiology and Biochemistry | Year: 2014

Objective: To develop a risk score by incorporating Hemoglobin A1c(HbA1c) with traditional risk factors for the prediction of coronary artery disease (CAD) in Chinese subjects. Methods: A total of 196 consecutive subjects (131 males and 65 females) aged 38-89 years who underwent coronary angiography were enrolled in this study. HbA1c risk score sheets for the prediction of CAD were developed using age, gender and HbA1c. A receiver-operating characteristic curve analysis was used to determine the optimum cut-off levels of the HbA1c risk score for predicting CAD. Results: In the ROC curve analysis, the optimal cut-off value of the HbA1c score for predicting CAD was 5.1, with a sensitivity of 72.0% and a specificity of 75.5% (area under the curve 0.781, 95% confidence interval 0.709 to 0.854, p=0.000). Conclusions: The HbA1c score system is a simple and feasible method that can be used for the prediction of CAD. Large-scale studies are needed to further substantiate these results. © 2014 S. Karger AG, Basel. Source

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