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Activity Number:
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537
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309682 |
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Title:
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Recursive Estimation Method for Predicting Residual Bladder Urine Volumes to Improve Accuracy of Timed Urine Collections
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Author(s):
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David Afshartous*+ and Richard Preston
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Companies:
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University of Miami and University of Miami
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Address:
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, Coral Gables, FL, 33124,
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Keywords:
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repeated measures ; recursive systems ; residual volume ; sensitivity analysis
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Abstract:
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Clinical research studies often collect data via repeated measurements of collected urine. Timed urine collections are inexpensive, noninvasive, relatively simple to conduct, and can provide valuable data on kidney function and the clearance of various electrolytes and drugs by the kidney. Unfortunately, the accuracy of timed urine collections is limited by the presence of a residual volume of urine remaining in the bladder following each timed void due to incomplete emptying of the bladder. We present an unbiased method to estimate the residual bladder volumes via a mathematical model of the bladder process. The model leverages constant concentration and constant mass principles in order to solve a system of recursive equations. We verify the model on simulated patients and also investigate the sensitivity of the model to initial value specification.
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