KDIGO Research Papers - Academia.edu (original) (raw)

In the present study an attempt has been made to analysis of the chronic kidney disease (CKD) which is a global public health problem. Understanding the relationship between CKD and other chronic diseases is important to developing a public health policy to improve outcomes. This report contains, how the food habit could be changed with the change of cultural habituation. However, despite the magnitude of the resources committed to the treatment to show about the kidney function, causes of kidney disease and conceptual framework on different type of renal calculi and its prevention and some giving recommendation. It is now well recognized that the prevalence of CKD is increasing all over the world. The global annual growth of number of ESRD patients is reported at 7%. In view of high disease burden, it became an uneven distribution, expensive treatment and because of fact that organized preventive strategies which are not in place in most countries. So, CKD has assumed the proportions of a significant public health problem.

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- Erythropoietin, KDIGO, ESRD, Incidence and prevalence of CKD

Aim: To stratify the renal risk using estimated Glomerular Filtration Rate (eGFR) and albuminuria based on Kidney Disease Improving Global Outcome (KDIGO) classification and its association with the degree of Diabetic Retinopathy (DR) among people with Type 2 Diabetes (T2DM) in South India.
Methods: A total of 3426 (2193:1233) subjects with T2DM who underwent Fundus Photography and Fundus Fluorescent Angiography for DR, estimated Glomerular Filtration Rate (eGFR) and renal function test for assessing renal function were included in the cross - sectional study. Based on eGFR and albuminuria, patients were grouped into Low Risk (LR), Moderately increased Risk (MR), High Risk (HR) and Very High Risk (VHR) categories as per KDIGO classification. Demographic, anthropometric, and biochemical details were recorded accordingly.
Results: Among the study population (n=3426) 61.4% were in LR group followed by 17.2 % in MR, 14.3% in HR and 7.2% in VHR group respectively. Among different risk categories, significant difference (p<0.001) was observed among LR, MR, HR and VHR group in age, duration of diabetes, systolic and diastolic blood pressure, HbA1c, urea, creatinine and eGFR. eGFR significantly declined as the risk categories in KDIGO increased. Among the study population, 27.32% (n = 936) had different degree of DR. Significant difference in eGFR was observed among patients with and without DR. As the severity of the DR increases, renal risk categories based on KDIGO classification also increased. High concordance was observed between different degrees of DR and KDIGO classification.
Conclusion: In T2DM subjects, there is a significant association between DR and renal risk category using KDIGO classification. Thus, KDIGO classification can be used to stratify the renal and retinal risk in T2DM than mere albuminuria or eGFR.