scholarly journals Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Vendula Bartáková ◽  
Linda Klimešová ◽  
Katarína Kianičková ◽  
Veronika Dvořáková ◽  
Denisa Malúšková ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Heart Rate ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Diabetic Patients ◽  
Resting Heart Rate ◽  
Increased Risk ◽  
Type 2 Diabetic

Elevated resting heart rate (RHR) has been associated with increased risk of mortality and cardiovascular events. Limited data are available so far in type 2 diabetic (T2DM) subjects with no study focusing on progressive renal decline specifically. Aims of our study were to verify RHR as a simple and reliable predictor of adverse disease outcomes in T2DM patients. A total of 421 T2DM patients with variable baseline stage of diabetic kidney disease (DKD) were prospectively followed. A history of the cardiovascular disease was present in 81 (19.2%) patients at baseline, and DKD (glomerular filtration rate < 60 mL/min or proteinuria) was present in 328 (77.9%) at baseline. Progressive renal decline was defined as a continuous rate of glomerular filtration rate loss ≥ 3.3% per year. Resting heart rate was not significantly higher in subjects with cardiovascular disease or DKD at baseline compared to those without. Using time-to-event analyses, significant differences in the cumulative incidence of the studied outcomes, that is, progression of DKD (and specifically progressive renal decline), major advanced cardiovascular event, and all-cause mortality, between RHR </≥65 (arbitrary cut-off) and 75 (median) bpm were not found. We did not ascertain predictive value of the RHR for the renal or cardiovascular outcomes in T2DM subjects in Czech Republic.

Albuminuria and reduced glomerular filtration rate for predicting the renal outcomes in type 2 diabetic patients

Nephrology ◽  
2015 ◽  
Vol 20 (8) ◽  
pp. 531-538 ◽  
Author(s):  
Nobue Tanaka ◽  
Tetsuya Babazono ◽  
Michino Takagi ◽  
Naoshi Yoshida ◽  
Kiwako Toya ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Renal Outcomes ◽  
Type 2 Diabetic

scholarly journals Modified Glomerular Filtration Rate-Estimating Equations Developed in Asiatic Population for Chinese Patients with Type 2 Diabetes

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Xun Liu ◽  
Xilian Qiu ◽  
Chenggang Shi ◽  
Hui Huang ◽  
Jianhua Huang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Chinese Patients ◽  
Absolute Difference ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Objectives. To evaluate eight modified equations developed in Asiatic populations in type 2 diabetic patients in China.Methods. A total of 209 Chinese patients with type 2 diabetes were recruited. Using the technetium—99m diethylenetriaminepentaacetic acid—glomerular filtration rate (GFR) to act as the reference, comparisons of their efficiency to estimate GFR in the subjects were made between various equations.Results. Median of difference of the Chinese equation 1 was the lowest (median of difference, 0.51 mL/min/1.73 m2). Median percent of absolute difference of the Chinese equation 2 was less than those of the other equations (26.97 versus ranged from 32.54 to 37.61 mL/min/1.73 m2, [P<0.001for all]). Precision of the simplified reexpressed MDRD equation was the best (92.9 mL/min/1.73 m2). Accuracies of the Chinese equation 2 were greater (P<0.05for all). There was also an improvement in chronic kidney disease (CKD) stage misclassification of the Chinese equation 2 (55.0 versus ranged from 61.2 to 64.6%, [P<0.001for all]). However, the 30% accuracies of all the equations were less than 70%.Conclusions. Our study highlighted a limitation in the use of the above equations in the majority of Chinese diabetic subjects. A better equation is needed in order to give an accurate estimation of GFR in type 2 diabetic patients in China.

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