THE EFFECT OF OSTEOARTHRITIS GRADE ON PATIENT-REPORTED OUTCOME MEASURES AFTER TOTAL HIP ARTHROPLASTY: A SYSTEMATIC REVIEW AND META-ANALYSIS

Abstract

Although total hip arthroplasty (THA) is beneficial for many patients with hip osteoarthritis (OA), a subset of patients experience minimal benefit. It is therefore pertinent to understand the predictors of poor functional outcome to facilitate shared decision making. One such predictor is preoperative radiographic OA severity. The aim of this systematic review was to determine whether preoperative radiographic OA severity could predict postoperative patient-reported outcome measures (PROMs) and satisfaction rates after THA.This systematic review was conducted according to PRISMA guidelines, and the protocol published in PROSPERO (ID:Â CRD42023445918). A literature search was performed using Embase, MEDLINE and Cochrane Library databases. Demographics, radiographic OA severity, PROMs, satisfaction, and complications after THA were collected. A meta-analysis was performed, where appropriate, using a random-effects model.Of 631 identified articles, 12 were included in the final analysis (8,034 participants; mean age 65.2, 38.1% male, mean BMI 29.1 kg/m2). There were three key findings. Firstly, those with mild OA are less likely to achieve a meaningful clinical improvement in PROMs (odds ratio (OR) 0.50, 95% confidence interval (CI) 0.38, 0.65; p < 0.00001). Secondly, two studies indicates that postoperative patient satisfaction was lower in participants with mild OA. Thirdly, participants with mild arthritis experience less improvement in SF-36 physical functioning (mean difference (MD) -8.31, 95% CI -10.97, -5.64; p < 0.00001) and role physical (MD -5.59, 95% CI -8.40, -2.77; p < 0.0001), but showed higher improvement in general health (MD 1.68, 95% CI 0.31, 3.06; p = 0.02).Patients with mild OA, as determined radiographically, are less likely to achieve meaningful clinical improvements in PROMs and have lower postoperative satisfaction after THA. This information will improve collaborative decision-making in the preoperative period.