Title: Comparison of different renal function tests for detecting renal dysfunction in patients with Metabolic Syndrome

Authors: Gajraj Singh Yadav, R.C. Gupta, Manju Pandey

 DOI:  https://dx.doi.org/10.18535/jmscr/v6i6.73

Abstract

Background: Several renal function tests (RFTs) are used to detect renal dysfunction. Their relative reliability in detection of renal dysfunction in metabolic syndrome (MS) is unknown.

Objective: To compare different renal function tests for detection of renal dysfunction in patients with MS.

Material and Methods: The material comprised 279 adult patients with MS diagnosed according to NCEP: ATP-III criteria. RFTs done in all patients were serum creatinine, serum urea, creatinine clearance, eGFR and urine protein.

Results: Serum creatinine and serum urea were above normal in 32.26% of patients. Patients with eGFR below normal were 73.84%. Creatinine clearance was below normal in 61.29%. 18.99% of total subjects tested positive for urine protein.

Conclusion: Prevalence of renal dysfunction was high (73.84%) in patients with MS. eGFR appeared to be the best indicator of renal dysfunction.

Keywords: Metabolic syndrome, renal dysfunction, renal function test.

References

  1. Jennifer L. Kuk, Chris I. Ardern. Age and Sex Differences in the Clustering of Metabolic Syndrome Factors Association with mortality risk. Diabetes Care 2010; 33(11): 2457-2461.
  2. Chronic Kidney Disease: Evaluation, Classification, and Stratification 2002.
  3. CG73 Chronic kidney disease: full guideline: 2008; [6th June 2012]. The published full clinical guideline on chronic kidney disease including recommendations and methods used.
  4. Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult treatment panel -III). Circulation. 2002;10(6):3143-3421.
  5. Trinder P. Determination of glucose in blood using glucose oxidase with an alternative oxygen acceptor. Annals of Clinical Biochemistry.1969; 6(2):24-30.
  6. Fletcher MJ. A colorimetric method for estimating serum triglycerides. Clinica Chimica Acta, 1968; 45(22):393-398.
  7. Abell LL, Levy BB, Brodie BB, Kebndall FE. A simplified method for the estimation of total cholesterol in serum. Biological Chemistry.1952; 19(5):357-363.
  8. Butler AR. Jaffé reaction mechanism debated. Clinical 1977; 23(3):613-614.
  9. Chaney AL, Marbach EP. The number of reagents for color production in urease activity. Clinical Chemistry.1962; 8(2):130-136.
  10. Cockcroft D, Gault MD. On line calculator for Creatinine Clearance using Cockcroft-Gault Equation,. Nephron, 16:31-41, 1976.
  11. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999;130(6):461–470.
  12. Nugent RA, Fathima SF, Feigl AB, Chyung D. The burden of chronic kidney disease on developing nations: A 21stcentury challenge in global health. NephronClin Pract. 2011;118:269–77.
  13. Agarwal SK, Srivastava RK. Chronic kidney disease in India: Challenges and solutions. Nephron Clin Pract. 2009; 111:197–203. 
  14. Srinath Reddy K, Shah B, Varghese C, Ramadoss A.Responding to the threat of chronic diseases in India.Lancet. 2005;366:1744-9.
  15. Raikou VD and Gavriil S. Metabolic syndrome and chronic renal disease. Diseases. 2018; (6):12.1-12.

Corresponding Author

Gajraj Singh Yadav

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.