HAC (Russian)
RSCI (Russian)
EBSCO
DOI (USA)
Ulrichsweb (Ulrich’s Periodicals Directory)
Scientific Indexing Services

OPTIMIZING THE ASSESSMENT OF CHRONIC KIDNEY DISEASE STAGES IN DIABETIC PATIENTS, BY APPLYING THE COMPUTER PROGRAM «CHRONIC_KIDNEY_DISEASE_DIAGNOSTICS»

DOI: https://doi.org/10.29296/25877305-2018-01-13
Download full text PDF
Issue: 
1
Year: 
2018

N. Yarkova, Candidate of Medical Sciences Nizhny Novgorod State Medical Academy

The paper considers the practicability of computer-aided calculation of glomerular filtration rate in diabetic patients, by applying the computer program “Chronic_Kidney_Disease_Diagnostics” that makes it possible to diagnose chronic kidney disease at an early preclinical stage.

Keywords: 
nephrology
glomerular filtration rate
chronic kidney disease
diabetes mellitus



It appears your Web browser is not configured to display PDF files. Download adobe Acrobat или click here to download the PDF file.

References: 
  1. Shestakova M.V. Saharnyj diabet i hronicheskaja bolezn' pochek: sovremennaja diagnostika i lechenie // Vestn. RAMN. – 2012; 1: 45–9.
  2. Maslova O.V., Suntsov Ju.I., Shestakova M.V. i dr. Rasprostranennost' porazhenija pochek pri saharnom diabete 1 i 2 tipov v Rossijskoj Federatsii // Saharnyj diabet. – 2009; 4: 48–51.
  3. National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification // Am. J. Kidney Dis. – 2002; 39: 1–286.
  4. Dedov I.I., Shestakova M.V., Majorov A.Ju. Algoritmy spetsializirovannoj meditsinskoj pomoschi bol'nym saharnym diabetom (8-j vypusk) // Saharnyj diabet. – 2017; 1: 10–4.
  5. Jarkova N.A., Borovkov N.N., Zanozina O.V. i dr. Tsistatin S v diagnostike hronicheskoj bolezni pochek u bol'nyh saharnym diabetom 2-go tipa // Sovremennye tehnologii v meditsine. – 2013; 4 (5): 89–93.
  6. Chudleigh R., Ollerton R., Dunseath G. et al. Use of cystatin C-based estimations of glomerular filtration rate in patients with type 2 diabetes // Diabetologia. – 2009; 52: 1274–8.
  7. Cederholm J., Eliasson B. et al. For the steering committee of the Swedish National Diabetes Register. Microalbuminuria and risk factors in type 1 and type 2 diabetic patients // Diabet. Res. Clin. Pract. – 2005; 67: 258–66.
  8. Parving H.-H., Lewis J. et al. DEMAND investigators. Prevalence and risk factors for microalbuminuria in a referred cohort of type II diabetic patients: a global prespective // Kidney Int. – 2006; 69 (11): 2057–63.
  9. Pierrat A., Gravier E., Saunders C. et al. Predicting GFR in children and adults: a comparison of the Cockcroft-Gault, Schwartz and Modification of Diet in Renal Disease formulas // Kidney Int. – 2003; 64: 1425–36.
  10. Vervoort G., Willems H., Wetzels J. Assessment of glomerular filtration rate in healthy subjects and and normoalbuminuric diabetic patients: validity of a new (MDRD) prediction equation // Nephrol. Dial. Transplant. – 2002; 17: 1909–13.