Login to Access Video or Poster Abstract: MP63-06
Sources of Funding: Support provided by NIH grant R01DK101719 and the VCU Presidential Research Quest Fund.

Introduction

The objective of this study was to identify and categorize sensation patterns during urodynamics using a novel &[Prime]sensation meter.&[Prime]

Methods

Twenty one patients with voiding dysfunction of various types completed pre-procedure ICIq-OAB surveys. Then patients recorded real-time unprompted sensation on a 0 to 100% scale using a touch-screen &[Prime]sensation meter&[Prime] throughout urodynamics testing. Data were sampled at 5% increments of cystometric capacity, and percent capacity vs. sensation curves were generated. Gender and age were recorded, and sensation-capacity curves were compared in patients with low urgency (ICIq-OAB 5a = 0 to 1) or high urgency (ICIq-OAB = 2 to 3).

Results

Individual normalized sensation-capacity curves showed distinct trends for the two groups (Fig 1A) and the average curves were significantly different at 5 points between 50% and 90% capacity (Fig 1B, * = p<0.05, n=11 low & 10 high). The low urgency pattern was generally r-shaped with a rapid increase in urgency at low capacity and then a leveling off after 50% capacity. The high urgency group was generally J-shaped with a slow increase in urgency at low capacity and then a rapid increase after 50% capacity. Average bladder capacities and ages for the low urgency group (285±38 ml, 71±4 years) and high urgency group (315±47 ml, 62±4 years) were not different (p>0.05). The low urgency group included 7 men and 4 women while the high urgency group included 4 men and 6 women.

Conclusions

Real-time sensation data collected using the sensation meter during urodynamics identified patients with distinct r-shaped and J-shaped sensation-capacity curves which generally corresponded to individuals with low and high urgency, based on standardized survey scores. The study highlights that collection of real-time sensation data during urodynamics has the potential to identify novel bladder sensory patterns that could be used for sub-typing of patients for future therapies and trials. Additional studies are needed to potentially correlate patterns with specific pathologies.

Funding

Support provided by NIH grant R01DK101719 and the VCU Presidential Research Quest Fund.