Kavita Rasalkar1 , Nagaraju Kashamsetty2 , Bandi Sai Karthik3
BACKGROUND Body mass consists of fat and lean body mass. Lean body mass comprises of body cell mass, bone mass and extracellular water. Body cell mass consist of muscle mass. Muscle mass is affected by age and gender and with extremities of age the variation is also found to be higher. Body mass has major influence on serum creatinine. Creatinine is derived from muscle protein, the creatine. Glomerular filtration rate (GFR) is used to estimate the renal glomerular function which is an early indicator of impending renal failure. Estimated GFR (eGFR) is commonly used as a practical alternative for measured GFR. However, most of the formulas used for estimation of eGFR rate takes into consideration age, gender, weight or height but not both. Muscle mass is also not considered into the formula. Hence, we have taken up this study to assess the influence of anthropometric measurements on serum creatinine, urea levels and eGFR in healthy adolescent subjects. METHODS It is a cross-sectional, retrospective study; data was collected as a part of larger study. A total of 261 students was included in the study which consisted of 137 female subjects and 124 male subjects. Demographic data, anthropometric measurements like height, weight, Body Mass Index (BMI), estimated lean body mass (eLBM) and fat mass was taken, blood collected was used for estimation of urea and creatinine. Data was analysed by SPSS software by student’s t test, Pearson’s correlation and ANOVA. RESULTS Creatinine values positively correlated significantly with age, height, weight, estimated lean body mass, and blood urea in male subjects; weight, estimated lean body mass, and blood urea levels were recorded in female subjects. Estimated GFR showed statistically significant correlation with anthropometric measurements like Body Mass Index, estimated lean body mass, its percentage and body fat percentage. Age, height and estimated lean body mass percentage showed negative correlation in male subjects whereas in female subjects only age and estimated lean body mass showed negative correlation. Male subjects did not show any statistically significant correlation with height but eGFR of female subjects showed statistically significant correlation with height. Urea did not show any correlation with anthropometric measurements. CONCLUSIONS Anthropometric measurements especially the lean body mass influence the serum creatinine and hence the estimated glomerular filtration rate. BMI influences the eGFR, but direct correlation could not be established with creatinine levels.
