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Creatinine is the biomarker of choice for use in estimates of kidney function in oncology patients.
Accurate and reliable estimates of kidney and cyst volume, the hallmark of disease progression in ADPKD are now available.
In the United States, HIV-related kidney disease disproportionately affects individuals of African descent; however, there are few estimates of kidney disease prevalence in Africa.
Accurate estimates of kidney function remain elusive in the absence of real-time measurement of the glomerular filtration rate (GFR).
Although imperfect, eGFR values account for demographic factors that are important determinants of muscle mass and serum creatinine levels and provide physicians with more accurate estimates of kidney function than isolated serum creatinines [ 15].
The current approach relies on creatinine-based estimates of kidney function that do not accurately predict whether and when patients might progress [ 38, 39]; many patients do not progress.
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Different criteria were considered to identify the method providing the most accurate estimate of kidney a ~.
Implications of the above findings are straightforward; dosing requirement of a given drug cleared by the kidney will dramatically change depending upon the equation used to obtain an estimate of kidney function.
First, our estimate of kidney function was based on original standardised creatinine concentrations from which we derived estimated eGFR values using the CKD-EPI and MDRD equations and were thus not reliant on administrative claims data for CKD diagnosis.
No studies are available for comparison, since the available data on kidney disease in Guatemala and Latin America as a region are largely derived from the population with end-stage renal disease [ 47]; however, our data provide an initial estimate of kidney disease in our population, which can serve as a starting point for future work.
Arora P, Vasa P, Brenner D, Iglar K, McFarlane P, Morrison H et al. Prevalence estimates of chronic kidney disease in Canada: results of a nationally representative survey.
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