scholarly journals Decision Points in the Management of Patients with Diabetic Kidney Disease

2021 ◽  
Vol 70 (6 Supplement) ◽  
Author(s):  
Weir

At the end of the activity, participants will be able to: • Identify the risks of kidney disease and their consequences in patients with type 2 diabetes (T2D). • Appropriately screen for the presence of chronic kidney disease (CKD) in patients with T2D. • Initiate evidence-based therapy to slow the progression of kidney disease in patients with T2D and CKD. • Describe the benefits and limitations of the steroidal and nonsteroidal mineralocorticoid receptor antagonists in the treatment of patients with DKD

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 443-P
Author(s):  
YOSHINORI KAKUTANI ◽  
MASANORI EMOTO ◽  
YUKO YAMAZAKI ◽  
KOKA MOTOYAMA ◽  
TOMOAKI MORIOKA ◽  
...  

Author(s):  
Alberto Ortiz ◽  
Charles J Ferro ◽  
Olga Balafa ◽  
Michel Burnier ◽  
Robert Ekart ◽  
...  

Abstract Diabetic kidney disease develops in about 40% of patients with diabetes and is the commonest cause of chronic kidney disease worldwide. Patients with chronic kidney disease, especially those with diabetes mellitus, are at high risk of both developing kidney failure and cardiovascular death. The use of renin-angiotensin system blockers to reduce the incidence of kidney failure in patients with diabetic kidney disease dates back to studies that are now 20 or more years old. During the last few years sodium-glucose co-transporter-2 inhibitors have shown beneficial renal effects in randomized trials. However, even in response to combined treatment with renin-angiotensin system blockers and sodium-glucose co-transporter-2 inhibitors, the renal residual risk remains high with kidney failure only deferred, but not avoided. The risk of cardiovascular death also remains high even with optimal current treatment. Steroidal mineralocorticoid receptor antagonists reduce albuminuria and surrogate markers of cardiovascular disease in patients already on optimal therapy. However, their use has been curtailed by the significant risk of hyperkalaemia. In The FInerenone in reducing kiDnEy faiLure and dIsease prOgression in Diabetic Kidney Disease (FIDELIO-DKD) study comparing the actions of the non-steroidal mineralocorticoid receptor antagonist finerenone with placebo, finerenone reduced the progression of diabetic kidney disease and the incidence of cardiovascular events with a relatively safe adverse event profile. This document presents in detail the available evidence on the cardioprotective and nephroprotective effects of mineralocorticoid receptor antagonists, analyses the potential mechanisms involved and discusses their potential future place in the treatment of patients with diabetic chronic kidney disease.


2019 ◽  
Vol 95 (1) ◽  
pp. 178-187 ◽  
Author(s):  
Guozhi Jiang ◽  
Andrea On Yan Luk ◽  
Claudia Ha Ting Tam ◽  
Fangying Xie ◽  
Bendix Carstensen ◽  
...  

2021 ◽  
Vol 18 (3) ◽  
pp. 17-25
Author(s):  
Stoiţă Marcel ◽  
Popa Amorin Remus

Abstract The presence of albuminuria in patients with type 2 diabetes mellitus is a marker of endothelial dysfunction and also one of the criteria for diagnosing diabetic kidney disease. The present study aimed to identify associations between cardiovascular risk factors and renal albumin excretion in a group of 218 patients with type 2 diabetes mellitus. HbA1c values, systolic blood pressure, diastolic blood pressure were statistically significantly higher in patients with microalbuinuria or macroalbuminuria compared to patients with normoalbuminuria (p <0.01). We identified a statistically significant positive association between uric acid values and albuminuria, respectively 25- (OH)2 vitamin D3 deficiency and microalbuminuria (p <0.01).


2008 ◽  
Vol 11 (4) ◽  
pp. 988-991
Author(s):  
Robert C Atkins ◽  
Paul Zimmet

In 2003, the International Society of Nephrology and the International Diabetes Federation launched a booklet called “Diabetes in the Kidney: Time to act” [1] to highlight the global pandemic of type 2 diabetes and diabetic kidney disease. ration (PZ)


2021 ◽  
Author(s):  
Ning Zhang ◽  
Rui Fan ◽  
Jing Ke ◽  
Qinghua Cui ◽  
Dong ZHAO

Abstract BackgroundMicroalbuminuria is the main characteristic of Diabetic kidney disease (DKD), but it fluctuates greatly under the influence of blood glucose. Our aim was to establish some common clinical variables which could be easily collected to predict the risk of DKD in patients with type 2 diabetes. Methods and resultsWe build an artificial intelligence (AI) model to quantitively predict the risk of DKD based on the biomedical parameters from 1239 patients. An information entropy-based feature selection method was applied to screen out the risk factors of DKD. The dataset was divided with 4/5 into the training set and 1/5 into the test set. By using the selected risk factors, 5-fold cross-validation is applied to train the prediction model and it finally got AUC of 0.72 and 0.71 in the training set and test set respectively. In addition, we provide a method of calculating risk factors’ contribution for individuals to provide personalized guidance for treatment. We set up web-based application available on http://www.cuilab.cn/dkd for self-check and early warning. ConclusionsWe establish a feasible prediction model for DKD and suggest the degree of risk contribution of each indicator for each individual, which has certain clinical significance for early intervention and prevention.


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