ArticleThe Journal of arthroplasty2023
Can Patient-Reported Outcome Measurement Information System Measures Estimate High Impact Chronic Pain After Total Joint Arthroplasty?
Article in The Journal of arthroplasty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Development of Machine Learning Algorithms Predicting Psychological Distress After Total Joint Arthroplasty.The Journal of arthroplasty · 2026Article
- High-impact chronic pain after total joint arthroplasty: a longitudinal cohort study.Pain reports · 2026Article
- Prevalence and Factors Associated With High-Impact Chronic Pain in Knee Osteoarthritis: The Johnston County Health Study.The journal of pain · 2024Article
- Can Patient-Reported Outcomes Measurement Information System estimate high-impact chronic pain after total shoulder arthroplasty?JSES international · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundHigh impact chronic pain (HICP) is not typically measured following orthopedic surgeries, but has a substantial negative impact on postoperative quality of life. This analysis determined which Patient-Reported Outcome Measurement Information System (PROMIS) measures accurately estimate HICP status following total joint arthroplasty (TJA).
methodsThis was a secondary analysis of a hip and knee TJA cohort. HICP status was determined by two items from the Graded Chronic Pain Scale-Revised. The cohort (n = 2,400) consisted of 47.5% hip (n = 1,142) and 52.5% knee TJA (n = 1,258). For total hip arthroplasty (THA), 53.7% were women (n = 615), 48.6% were 65 years or older (n = 557), 72.5% completed the survey more than 24 months after first surgery (n = 831), and 9.9% had HICP (n = 114). For total knee arthroplasty (TKA), 54.3% were women (n = 687), 59.3% were 65 years or older (n = 750), 72.3% survey completed the survey more than 24 months after first surgery (n = 915), and 11.5% had HICP (n = 145). Included PROMIS measures were pain interference, physical function, anxiety, and sleep disturbance. First, discriminant function analysis determined PROMIS measure contribution to HICP status. Then, area under the curve (AUC) calculated the accuracy of PROMIS measures to estimate HICP status. Influences of sociodemographic and surgical characteristics on AUC were explored in sensitivity analyses.
resultsResults for TKA and THA were similar so they are presented collectively for the sake of brevity. Mean differences were identified for all PROMIS measures for those with HICP (All P values < 0.01). Pain interference (β = 0.934) and sleep disturbance (β = 0.154) were independently correlated with HICP status in discriminant function analyses. The AUC (95% CIs) for HICP were as follows: pain interference (.952-.973), physical function (.921-.949), sleep (.780-.838), and anxiety (.687-.757). Sensitivity analyses revealed little change in AUC and HICP cutoff scores for PROMIS pain interference and physical function.
conclusionTwo PROMIS measures commonly administered as standard of care for orthopedics, pain interference, and physical function, can be used to estimate HICP status for THA and TKA, thereby refining assessment of TJA outcomes.
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