No abstract

Role of vitamin D in calcium and phosphorous regulation and in bone metabolism is a well known fact and so, was the need for diagnosing vitamin D deficiency in osteoporosis, osteomalacia and fractures. Discovery of the presence of vitamin D receptor in several tissues has lead to several research works to know the effect of vitamin D on these tissues. This has thrown light on previously blind areas. Vitamin D deficiency is known to be present in cancers, infectious diseases, autoimmune disorders,cardiovascular disease type 2 diabetes mellitus. These findings have resulted in increased laboratory requests for vitamin D estimation. This article aims at providing insight 1. into vitamin D and its metabolic effects , 2.different forms of vitamin D 3.existing methods to estimate vitamin D 4. Selection of the method for estimation, and reference methods for vitamin D estimation, 5. Factors causing variations in vitamin D results, 6. internal and external quality control issues,7.Interpretation of results.

Ckd is rapidly raising epidemic with increasing prevalence in India due to raised diabtes and hypertension cases. This is a Prospective crosssectional study & proven cases of Ckd (n = 100) admitted in the hospital between March 2014- August 2015. at Gandhi Hospital were included in the study. Serum creatinine was measured by Jaffe’s and creatininase-creatininase methods and gfr was calculated using conventional formula and Cockcroft-gault formula. 100 patients were selected with male predominance (1.5:1) and average mean age group of 5 to 6 decade are the Ckd cases.This study established that the clearance measured by 24-hour urine collection  has inherent errors, and determined that the CGF formula produces better results closest to the clinical symptoms and condition of chronic kidney disease, than the creatinine clearance obtained with conventional method (i.e., 24-hour urine collection) in patients, stating that creatinine clearance obtained by using enzymatic creatinine method with COCKCROFT –GAULT formula correlates better.

No abstract