Moderated Poster

Poster, Podium & Video Sessions

MP63-06: Categorization of Real-Time Sensation Patterns During Urodynamics

Sunday, May 14
3:30 PM - 5:30 PM
Location: BCEC: Room 153

Presentation Authors: Zachary Cullingsworth*, Adam Klausner, Anna Nagle, William Simmons, Jacqueline Morin, Randy Vince, David Rapp, John Speich, Richmond, VA

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.

Source Of Funding: Support provided by NIH grant R01DK101719 and the VCU Presidential Research Quest Fund.

Zachary Cullingsworth


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MP63-06: Categorization of Real-Time Sensation Patterns During Urodynamics

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