scholarly journals P2092Association of subclinical atherosclerosis with telomere length and glycemic variability

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
E.N. Dudinskaya ◽  
N.V. Brailova ◽  
O.N. Tkacheva ◽  
I.D. Strazhesko ◽  
S.A. Boytsov ◽  
...  
2019 ◽  
Vol 278 ◽  
pp. 250-253 ◽  
Author(s):  
Jennifer Y. Barraclough ◽  
Michael R. Skilton ◽  
Frances L. Garden ◽  
Brett G. Toelle ◽  
Guy B. Marks ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Akiko Takenouchi ◽  
Ayaka Tsuboi ◽  
Miki Kurata ◽  
Keisuke Fukuo ◽  
Tsutomu Kazumi

Background/Aims. Subclinical atherosclerosis and long-term glycemic variability have been reported to predict incident chronic kidney disease (CKD) in the general population. However, these associations have not been investigated in patients with type 2 diabetes with preserved kidney function.Methods. We prospectively followed up 162 patients with type 2 diabetes (mean age, 62.3 years; 53.6% men) and assessed whether carotid intima-media thickness (IMT) measured by B-mode ultrasound and visit-to-visit HbA1c variability are associated with deterioration of CKD (incident CKD defined as estimated GFR [eGFR] < 60 mL/min/1.73 m2and progression of CKD stages) over a median follow-up of 6.0 years. At baseline, 25 patients (15.4%) had CKD. Cox proportional hazards regression models were used for identifying associated factors of CKD deterioration.Results.Estimated GFR decreased from75.8±16.3to67.4±18.2 mL/min/1.73 m2(p<0.01). Of 162 patients, 32 developed CKD and 8 made a progression of CKD stages. Multivariate Cox regression analysis revealed that carotid IMT (HR: 4.0, 95% CI: 1.1–14.226.7, andp=0.03) and coefficient of variation of HbA1c (HR: 1.12, 95%: 1.04–1.21, andp=0.003) were predictors of deterioration of CKD independently of age, mean HbA1c, urinary albumin/creatinine ratio, baseline eGFR, uric acid, and leucocyte count.Conclusions.Subclinical atherosclerosis and long-term glycemic variability predict deterioration of chronic kidney disease (as defined by incident or worsening CKD) in type 2 diabetic patients with preserved kidney function.


2016 ◽  
Vol 53 (4) ◽  
pp. 661-667 ◽  
Author(s):  
Valentina Spigoni ◽  
Raffaella Aldigeri ◽  
Angela Picconi ◽  
Eleonora Derlindati ◽  
Laura Franzini ◽  
...  

2010 ◽  
Vol 211 (1) ◽  
pp. 176-181 ◽  
Author(s):  
A.G. Panayiotou ◽  
A.N. Nicolaides ◽  
M. Griffin ◽  
T. Tyllis ◽  
N. Georgiou ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuwen Zhang ◽  
Shujing Wu ◽  
Mian Li ◽  
Tiange Wang ◽  
Min Xu ◽  
...  

ObjectiveThe aim of the study was to investigate the association between the visit-to-visit variability (VVV) of fasting plasma glucose (FPG) and arterial stiffness in Chinese adults.MethodsWe performed a cohort study involving 2002 Chinese adults with no history of myocardial infarction or stroke. All the participants attended three visits (the baseline visit in 2008, the 2nd visit in 2009 and the 3rd visit in 2013). We used four measures to define the VVV of FPG across the three visits: the standard deviation (SD), the coefficient of variation (CV), the average successive variability (ASV) and the variability independent of the mean (VIM). We used brachial-ankle pulse wave velocity (ba-PWV) to measure arterial stiffness at the 2nd and the 3rd visits.ResultsCompared with the lowest tertile of all the four measurements of VVV of FPG, significantly increased levels of ba-PWV change, ratio of ba-PWV change and the occurrence of the elevated ba-PWV were found in the highest tertile. The odds ratio (OR) and 95% confidence interval (CI) comparing participants in the highest tertile vs. the lowest tertile of FPG-SD was 1.37 (1.01-1.86) for risks of having elevated ba-PWV, even after adjustment for covariates including the mean FPG. Similar results were found for FPG-CV and FPG-VIM.ConclusionGreater long-term variability of FPG was associated with an increased risk of arterial stiffness, suggesting that the VVV of FPG could be used for an early detection of subclinical atherosclerosis.


2016 ◽  
Vol 67 (21) ◽  
pp. 2467-2476 ◽  
Author(s):  
Juan M. Fernández-Alvira ◽  
Valentin Fuster ◽  
Beatriz Dorado ◽  
Nora Soberón ◽  
Ignacio Flores ◽  
...  

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