Degludec is effective and safe in real-life treatment for patients with type 2 diabetes mellitus and chronic kidney disease stage 3B

2018 ◽  
Vol 72 (6) ◽  
pp. e13098 ◽  
Author(s):  
Maria Dolores Garcia de Lucas ◽  
Julian Olalla Sierra ◽  
Beatriz Aviles Bueno
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Chronic Kidney Disease Stage ◽  
Real Life ◽  
Disease Stage

scholarly journals Study of correlation between adequacy of dialysis and glycemic control in patients of type 2 diabetes mellitus with chronic kidney disease stage 5

2020 ◽  
Vol 8 (4) ◽  
pp. 1366
Author(s):  
Samrat Mitra ◽  
Sanghita Barui
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Glycemic Control ◽  
Chronic Kidney Disease Stage ◽  
Disease Stage ◽  
Random Blood Sugar

Background: The adequacy of haemodialysis in patients of type 2 diabetes mellitus with chronic kidney disease stage 5 depends on several clinical as well as laboratory parameters. Previous studies from Western literature have identified several clinical and laboratory markers for predicting adequacy of dialysis. There is a dearth of literature regarding the same in Indian patient populace. Authors aimed to find correlation, if any, between glycemic control and adequacy of dialysis in this cohort of patients.Methods: A set of 200 patients of type 2 diabetes mellitus who have undergone hemodialysis at a tertiary care hospital were included in the study. Random blood sugar (RBS), Glycated hemoglobin (HbA1c) were measured at admission. After 4 hours of dialysis, the urea reduction ratio (URR) and Kt/V was measured for each patient. The correlation coefficient as well as linear equation of the association between these variables were calculated. Standard statistical method and software were used in the process.Results: The study revealed a linear negative correlation between the variables RBS, HbA1c and URR as well as Kt/V. This suggests the importance of pre dialysis glycemic control in patients undergoing hemodialysis.Conclusions: Authors formulate the hypothesis that glycated hemoglobin and random blood sugar at admission correlate well with the outcome and adequacy of dialysis in patients of stage 5 chronic kidney disease undergoing haemodialysis.  Good glycemic control (HbA1c <6.5 % and RBS <120 mg/dL) have shown to be important predictive markers of adequate dialysis. The hypothesis needs to be tested with a larger study.

487-P: AI Prediction of Chronic Kidney Disease Stage Progression Combinations for Type 2 Diabetes Mellitus

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 487-P
Author(s):  
KOHTAROH MIYAMOTO ◽  
AKIRA KOSEKI ◽  
MICHIHARU KUDO ◽  
MASAKI MAKINO ◽  
ATSUSHI SUZUKI
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Chronic Kidney Disease Stage ◽  
Disease Stage ◽  
Stage Progression

Lactic acidosis due to metformin in type 2 diabetes mellitus and chronic kidney disease stage 3–5: is it significant?

2019 ◽  
Vol 51 (7) ◽  
pp. 1229-1230
Author(s):  
Ravindra Attur Prabhu ◽  
Aswani Srinivas Mareddy ◽  
Shankar Prasad Nagaraju ◽  
Dharshan Rangaswamy ◽  
Vasudeva Guddattu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Lactic Acidosis ◽  
Chronic Kidney Disease Stage ◽  
Disease Stage

1049-P: Preexisting Chronic Kidney Disease Stage 3 Does Not Reduce Glycemic Efficacy of Metformin in U.S. Veterans with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1049-P
Author(s):  
ELVIRA GOSMANOVA ◽  
DARREN E. GEMOETS ◽  
LAURENCE S. KAMINSKY ◽  
CSABA P. KOVESDY ◽  
AIDAR R. GOSMANOV
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Chronic Kidney Disease Stage ◽  
Disease Stage

scholarly journals Inequalities in the Global Burden of Chronic Kidney Disease Due to Type 2 Diabetes Mellitus: An Analysis of Trends from 1990 to 2019

2021 ◽  
Vol 18 (9) ◽  
pp. 4723
Author(s):  
Nóra Kovács ◽  
Attila Nagy ◽  
Viktor Dombrádi ◽  
Klára Bíró
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Data Exchange ◽  
Disease Burden ◽  
Socioeconomic Development ◽  
Developed Countries

The prevalence of type 2 diabetes mellitus (T2DM) and the burden of complications are increasing worldwide. Chronic kidney disease (CKD) is one serious complication. Our aim was to investigate the trends and inequalities of the burden of CKD due to T2DM between 1990 and 2019. Data were obtained from the Global Health Data Exchange database. Age-standardized incidence, mortality, and DALYs rates of CKD were used to estimate the disease burden across the Human Development Index (HDI). Joinpoint regression was performed to assess changes in trend, and the Gini coefficient was used to assess health inequality. A higher incidence was observed in more developed countries (p < 0.001), while higher mortality and DALYs rates were experienced in low and middle HDI countries in 2019 (p < 0.001). The trend of incidence has increased since 1990 (AAPC: 0.9–1.5%), while slight decrease was observed in low HDI countries in mortality (APC: −0.1%) and DALYs (APC: −0.2%). The Gini coefficients of CKD incidence decreased from 0.25 in 2006 to 0.23 in 2019. The socioeconomic development was associated with disease burden. Our findings indicate that awareness of complications should be improved in countries with high incidence, and cost-effective preventive, diagnostic, and therapeutic tools are necessary to implement in less developed regions.

Development and Validation of a Chronic Kidney Disease Prediction Model for Type 2 Diabetes Mellitus in Thailand

2021 ◽  
Vol 24 ◽  
pp. 157-166
Author(s):  
Wilailuck Tuntayothin ◽  
Stephen John Kerr ◽  
Chanchana Boonyakrai ◽  
Suwasin Udomkarnjananun ◽  
Sumitra Chukaew ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Prediction Model ◽  
Disease Prediction ◽  
Development And Validation
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