Presentation Authors: Nicholas Tassone*, Belinda Li, Megan Devine, Robert Dettman, Edward Gong, Chicago, IL
Introduction: The partial bladder outlet obstruction animal model (pBOO) is commonly used as a model for obstructive uropathy. Unfortunately, pBOO demonstrates variable degrees of obstruction requiring bladder weight (BW) or urodynamic studies to determine true obstruction. Our objective is to identify extent of obstruction by correlating early post-operative Void Stain on Paper (VSOP) assays with ultimate BW in mice.
Methods: pBOO was performed on 32 mice, and 1- and 4-week VSOPs were quantified for mean voided volume (mVV) (Figure 1A). At 4 weeks, bladders were harvested and weighed and correlation of raw data was assessed with 4-week (Figure 1B) and 1-week (Figure 1C) mVVs. 1-week mVV data was further evaluated through bivariate kernel density estimation and a Pearson correlation coefficient (SAS). Single variable histogram of the data established groups based on BWs and mVV. mVVs and bladder weights within group pairings were averaged and plotted to render a non-linear regression model.
Results: A significant correlation was found between 1-week mVVs and 4-week BWs upon bivariate analysis with a correlation coefficient of -0.758 (p=0.0294) (Figure 1D). A non-linear regression of plotted data defined a statistically significant fit equation correlating 1-week mVV to 4-week BW.
Conclusions: We demonstrate a novel method for forecasting degree of obstruction in pBOO based on 1-week post-operative VSOP mVV.
Source of Funding: Hartwell Foundation