一种用于表型分析和治疗慢性盆腔疼痛的疼痛脱敏算法。
A Pain Desensitization Algorithm for Phenotyping and Treating Chronic Pelvic Pain.
机构信息
Clínica Aurora, Manaus, Amazonas, Brazil.
Professor, Director, Center of Endometriosis, Pelvic Pain and Urogynecology, Wheeling, West Virginia, USA.
出版信息
JSLS. 2024 Apr-Jun;28(2). doi: 10.4293/JSLS.2024.00009.
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 < .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.
背景
由于中枢和外周敏化以及包括膀胱、盆底和阴部神经在内的多个疼痛发生器的存在,慢性盆腔疼痛仍然是医生难以治疗的问题。疼痛管理提供者多年来一直使用神经阻滞来进行诊断和治疗。我们开发了一种脱敏算法,为改善患者的疼痛评分提供了逐步的方法。
方法
这是一项前瞻性观察队列研究,纳入了 182 名年龄在 15 至 90 岁之间的慢性盆腔疼痛患者,使用 2016 年至 2018 年的算法。治疗从膀胱麻醉挑战测试开始,指导我们通过膀胱内治疗和/或阴部神经阻滞的方案。
结果
ACT 阳性患者接受膀胱内治疗:84%的患者视觉模拟评分疼痛改善至少 50%,64%的患者改善至少 80%(41%无痛)。那些需要进一步缓解的患者接受了进一步的阴部神经阻滞:83%的患者最终改善至少 50%(67%无痛)。ACT 阴性患者接受阴部神经阻滞,80%的患者至少有 50%的缓解,65%的患者改善至少 80%(35%无痛)。与初始疼痛评分相比,所有最终组均显示统计学意义 < 0.05%。
结论
对于慢性盆腔疼痛的女性,理想的治疗方法是首先治疗特定的诊断,由于大多数患者有不止一个疼痛发生器,因此这在大多数情况下难以确定。我们的算法简化了方法,并在进行任何进一步必要的手术干预之前减轻了疼痛评分的严重程度。