A Pain Desensitization Algorithm for Phenotyping and Treating Chronic Pelvic Pain.

Background: Chronic pelvic pain remains challenging for physicians to manage due to central and peripheral sensitization and multiple pain generators including the bladder, pelvic floor, and pudendal nerve. Pain management providers have used nerve blocks for years for diagnosis and treatment. We developed a desensitization algorithm that provides a stepwise approach to improve patients pain scores.

Methods: This is a prospective observational cohort study of 182 women aged 15-90 years old with chronic pelvic pain using an algorithm from 2016 to 2018. Treatment started with an Anesthetic Challenge Test of the bladder to guide us through a protocol of intravesical therapy and/or pudendal nerve blocks as a second step.

Results: ACT POSITIVE patients, who received intravesical therapy: 84% had a Visual Analog Score pain improvement of at least 50%, 64% improved at least 80% (41% pain-free). Those desiring additional relief that received further Pudendal Blocks: 83% had final improvement of at least 50% (67% pain-free). ACT NEGATIVE patients received Pudendal Blocks with 80% of subjects achieving at least 50% relief, 65% improved at least 80% (35% pain-free). All final groups showed a statistically significance of P < .05% when compared to their initial pain scores.

Conclusion: Management of women with chronic pelvic pain would ideally start with treating a specific diagnosis which, in most cases, is difficult to establish since the majority have more than one pain generator. Our algorithm simplified the approach and reduced the severity of pain scores prior to any further necessary surgical interventions.