Evaluating the prognostic effect of a pain classification system in patients with advanced cancer.

Abstract

95 Background: The Edmonton Classification System for Cancer Pain (ECS-CP) has been shown to predict pain management complexity based on five features: pain mechanism, incident pain, psychological distress, addictive behavior, and cognitive function. The main objective of our study was to explore the association between increasing sum of negative ECS-CP features and achievement of good pain control at first follow up visit at an outpatient palliative care clinic. Methods: Initial and follow up clinical information of 409 eligible supportive care outpatients such as patient demographics, ECS–CP assessment, morphine equivalent daily dose (MEDD), opioid rotation, Edmonton Symptom Assessment Score (ESAS), and personalized pain goal (PPG) were retrospectively reviewed and analyzed. Results: Between the initial consultation and the first follow up visit, the median MEDD requirement increased from 30mg/day to 45mg/day (p < 0.0001) and median pain intensity improved from 6 to 4 (p < 0.0001). Increasing sum of negative ECS–CP features was associated with higher MEDD at consultation, with an increase from 30mg/day with no negative features to 40mg/day with ≥2 negative features (p = 0.046). There was no significant association between increasing sum of negative ECS-CP features and achievement of pain control at follow up visit (0.991, 95% CI: 0.747 – 1.304, p = 0.948). Conclusions: Increasing sum of negative ECS-CP features was associated with higher MEDD at referral but was not predictive of pain control at the follow up visit when pain was managed by a palliative medicine specialist. Further research is needed to further explore these observations.