Abstract
Equations predicting the urinary excretion of a substance of interest have been developed from a deterministic model linking substance-to-creatinine ratio with expected creatinine output for sex and age. Developed predictive equations show ≥ 80% accuracy and ≥ 90% agreement with traditional, established methods recurring to 24 hours urine collections. Clinical usefulness of the predictive equations has been validated in the study of calcium metabolism disorders. Predictive equations can be expanded to accommodate the specific gravity and osmolarity of urine. Predictive equations discussed in this essay have opened new windows in the assessment of kidney function and metabolic disorders. It is expected these predictive equations to secure a higher compliance of kidney assessment tests in children and adolescents.
Highlights
The assessment of the kidney function offers valuable data on the regulation of the internal milieu and the utilization of nutrients by cells, tissues and organs [1,2,3]
Several works completed by the authors have presented the results of extensive statistical validation of the predictive models following [5] advanced for analytes of interest such as total proteins, albumin, calcium, urates and magnesium
European Journal of Clinical and Biomedical Sciences 2019; 5(1): 1-4 children and adolescents with kidney lithiasis assisted at the Institute of Nephrology of Havana, abnormally elevated 24 hours calcium values were seen in a third of them [23]
Summary
The assessment of the kidney function offers valuable data on the regulation of the internal milieu and the utilization of nutrients by cells, tissues and organs [1,2,3]. Conduction of kidney assessment tests is affected by shortcomings surrounding the collection of a volume of urine representating a day in the subject’s life. An accurate 24 hours urine collection demands a great deal of commitment and disposition by patients and health care workers alike. The albumin-to-creatinine ratio for assessing kidney function of hypertensive and diabetic patients [12], and the calcium-to-creatinine ratio in the study of disorders of calcium metabolism and stones-forming diseases [13,14,15], are just two examples of such surrogates. The authors have incorporated IndEx into a deterministic model in order to allow the estimation of the excretion of a substance of interest as a function of the child’s sex, age, height and body surface area (BSA) [1617]. What follows is the presentation of this deterministic model, along with examples of its application in the authors’s hospital
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