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Yi T, Gao L, Fan F, Jiang Y, Jia J, Zhang Y, Li J, Huo Y. Association between pulse wave velocity and the 10-year risk of atherosclerotic cardiovascular disease in the Chinese population: A community-based study. J Clin Hypertens (Greenwich) 2023; 25:278-285. [PMID: 36794419 PMCID: PMC9994158 DOI: 10.1111/jch.14642] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 01/04/2023] [Accepted: 01/19/2023] [Indexed: 02/17/2023]
Abstract
Accumulated evidence has shown that carotid-femoral and brachial-ankle PWV well predict cardiovascular events but it is still unclear if the predictability is same or not. In this cross-sectional study based on a community atherosclerosis cohort in Beijing, China, a total of 5282 participants without previous coronary heart disease and stroke were enrolled from a community atherosclerosis cohort in Beijing, China. The 10-year atherosclerotic cardiovascular disease (ASCVD) risk were calculated by the China-PAR model, and < 5%, 5%-10% and > 10% were defined as low, intermediate, and high risk, respectively. The average baPWV and cfPWV values were 16.63 ± 3.35 m/s and 8.45 ± 1.78 m/s, respectively. The mean 10-year ASCVD risk was 6.98% (interquartile range: 3.90%-12.01%). The patients with low, intermediate, and high 10-year ASCVD risk accounted for 34.84% (1840), 31.94% (1687),, and 33.23% (1755) respectively. Multivariate analysis showed that for every 1 m/s increase in baPWV and cfPWV, the 10-year ASCVD risk increased by 0.60% (95% confidence interval: 0.56%-0.65%, p < .001) and 1.17% (95% confidence interval: 1.09%-1.25%, p < .001), respectively. The diagnostic ability of the baPWV was comparable to the cfPWV (area under the curve: 0.870 [0.860-0.879] vs. 0.871 [0.861-0.881], p = .497). In conclusion, baPWV and cfPWV are positively associated with the 10-year risk of ASCVD in the Chinese community-based population, with a nearly identical association with a high 10-year risk of ASCVD.
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Affiliation(s)
- Tieci Yi
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Lan Gao
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Fangfang Fan
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Yimeng Jiang
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Jia Jia
- Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Yan Zhang
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Jianping Li
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
| | - Yong Huo
- Department of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China.,Hypertension Precision Diagnosis and Treatment Research Center, Peking University First Hospital, Beijing, China
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Yoo S, Chin SO, Lee SA, Koh G. Factors Associated with Glycemic Variability in Patients with Type 2 Diabetes: Focus on Oral Hypoglycemic Agents and Cardiovascular Risk Factors. Endocrinol Metab (Seoul) 2015; 30:352-60. [PMID: 26248860 PMCID: PMC4595361 DOI: 10.3803/enm.2015.30.3.352] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 04/27/2015] [Accepted: 06/11/2015] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The role of glycemic variability (GV) in development of cardiovascular diseases remains controversial, and factors that determine glucose fluctuation in patients with diabetes are unknown. We investigated relationships between GV indices, kinds of oral hypoglycemic agents (OHAs), and cardiovascular risk factors in patients with type 2 diabetes mellitus (T2DM). METHODS We analyzed 209 patients with T2DM. The GV index (standard deviation [SD] and mean absolute glucose change [MAG]) were calculated from 7-point self-monitoring of blood glucose profiles. The patients were classified into four groups according to whether they take OHAs known as GV-lowering (A) and GV-increasing (B): 1 (A only), 2 (neither), 3 (both A and B), and 4 (B only). The 10-year risk for atherosclerotic cardiovascular disease (ASCVD) was calculated using the Pooled Cohort Equations. RESULTS GV indices were significantly higher in patients taking sulfonylureas (SUs), but lower in those taking dipeptidyl peptidase-4 inhibitors. In hierarchical regression analysis, the use of SUs remained independent correlates of the SD (γ=0.209, P=0.009) and MAG (γ=0.214, P=0.011). In four OHA groups, GV indices increased progressively from group 1 to group 4. However, these did not differ according to quartiles of 10-year ASCVD risk. CONCLUSION GV indices correlated significantly with the use of OHAs, particularly SU, and differed significantly according to combination of OHAs. However, cardiovascular risk factors and 10-year ASCVD risk were not related to GV indices. These findings suggest that GV is largely determined by properties of OHAs and not to cardiovascular complications in patients with T2DM.
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Affiliation(s)
- Soyeon Yoo
- Department of Internal Medicine, Jeju National University Hospital, Jeju, Korea
| | - Sang Ouk Chin
- Department of Internal Medicine, Jeju National University Hospital, Jeju, Korea
| | - Sang Ah Lee
- Department of Internal Medicine, Jeju National University Hospital, Jeju, Korea
- Department of Internal Medicine, Jeju National University School of Medicine, Jeju, Korea
| | - Gwanpyo Koh
- Department of Internal Medicine, Jeju National University School of Medicine, Jeju, Korea
- Department of Internal Medicine, Jeju National University Hospital, Jeju, Korea.
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