Paper 35: Preoperative Predictors of Arthroscopic Partial Meniscectomy: The APM Index Score

Objectives: Meniscal tears are one of the most common knee conditions treated by orthopaedic surgeons. Patients who do not respond to conservative management often offered arthroscopic partial meniscectomy (APM). Clinical care these patients could be enhanced a scoring system that uses preoperative factors predict likelihood pain relief following APM. The purpose this study is create an index score based on easily available risk favorable outcomes Methods: We performed retrospective review prospectively collected data from consecutive cohort single surgeon in outpatient setting. were included if they had meniscal tear, failed nonoperative treatment measures, and completed patient reported outcome questionnaires. defined clinical improvement as achieving ≥ 90 at one-year postoperatively or 10 points KOOS subscale (the minimal clinically important difference (MCID)). used multivariable logistic regression models identify associated with created assigning each variable proportional its coefficient. Results: 468 underwent APM between August 2012 October 2020 study. mean age was 49 [SD=10.4, range 19-81], 58% female, 88% white, 79% overweight obese. 84% subjects met our criteria for improvement. In model, longer symptom duration, higher Kellegren-Lawrence (KL) grade, pre-treatment lower postoperatively. adjusted odds ratios shown Table 1. Based coefficients those KL grade 0 assigned 2 all other (pre-treatment ≤ 60, duration 6 months, 1 2) point (Table 1). algorithm well total scores predicting improvement: 40% 0, 68% 1, 80% 2, 89% 3, 96% 4 (Figure also examined did include since it might readily abbreviated < 3 months points; 3-6 ranged 66% among 90% Conclusions: results serve screening tool may help would benefit intervention. Further research should validate independent sample. note does compare benefits undergoing versus treatments, but can physician engage shared decision-making process regarding possible [Table: see text]