Model for assessment of Cystatin C as predictive cardiovascular risk marker in patients with Chronic Kidney Disease

Authors

  • Manoj Kumar
  • Asgar Ali Department of Biochemistry, All India Institute of Medical Sciences, Patna, Bihar, India.
  • Reema Sharma
  • Raj Narayan Gupta
  • Alok Ranjan
  • Kishan Kumar Sharma
  • Rathish Nair
  • Sadhana Sharma Department of Biochemistry, All India Institute of Medical Sciences, Patna, Bihar, India.

Keywords:

Cystatin C, Creatinine, Chronic Kidney Disease, Cardiovascular disease, Diabetes, HDL, LDL, VLDL

Abstract

Background: Cystatin C, a protease inhibitor synthesized in all nucleated cells, has been proposed as a replacement for serum creatinine for the assessment of renal function, particularly to detect small reductions in glomerular filtration rate. In this study we determine a novel model to access cystatin C level of patients having cardiovascular risks with chronic kidney disease if other parameters are known.

Methods: Blood samples were collected (total 397 subjects) from patients with chronic kidney disease (CKD), cardio vascular disease (CVD) and both CKD with CVD, along with the normal healthy controls. Lipid profile, urea, creatinine, hs-CRP, physiological parameters and cystatin C were analyzed.

Result: We found that proportion of diabetics were significantly higher among diseased persons as compared to control subjects (Chi-square=53.61; p=0.0001). Mean values of total cholesterol, triglyceride, VLDL, urea, creatinine and cystatin C among CKD group as well as in CVD group of patients were significantly higher (p<0.05), while total protein, albumin and haemoglobin were significantly lower (p<0.05) as compared to healthy controls. In CKD patients with CVD, the mean values of potassium, glucose, urea, creatinine, cystatin C and total leucocyte count  were significantly higher (p<0.05), while total protein, albumin and hemoglobin were significantly lower (p<0.05) as compared to healthy controls.

Conclusion: This study has demonstrated a novel predictive model which is cost ineffective than the gold standard for the assessment of serum cystatin C is an endogenous risk marker in the patients of cardiovascular with Chronic Kidney Disease if other parameters.

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Published

07-02-2016

How to Cite

1.
Kumar M, Ali A, Sharma R, Gupta RN, Ranjan A, Sharma KK, et al. Model for assessment of Cystatin C as predictive cardiovascular risk marker in patients with Chronic Kidney Disease. Ann of Pathol and Lab Med [Internet]. 2016 Feb. 7 [cited 2024 Dec. 26];3(1):A1-7. Available from: https://pacificejournals.com/journal/index.php/apalm/article/view/apalm493

Issue

Vol. 3 No. 1 (2016)

Section

Original Article

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Copyright (c) 2016 Manoj Kumar, Asgar Ali, Reema Sharma, Raj Narayan Gupta, Alok Ranjan, Kishan Kumar Sharma, Rathish Nair, Sadhana Sharma

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