High levels of preoperative pain and fatigue are red flagsfor moderate‐severe pain 12 months after total kneearthroplasty—A longitudinal cohort study
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OriginalversjonEnbakom, Lerdal, Småstuen, Gay, Aamodt, Tesfaye, Lindberg. High levels of preoperative pain and fatigue are red flagsfor moderate‐severe pain 12 months after total kneearthroplasty—A longitudinal cohort study. Musculoskeletal Care. 2020:1-7 https://doi.org/10.1002/msc.1522
Background: Moderate/severe pain after total knee arthroplasty (TKA) is a poor surgical outcome. Many studies have identiﬁed preoperative risk factors of painafter TKA, but studies of the joint contributions of co-occurring symptoms arelacking. Methods: Patients undergoing primary TKA (n=202) were enrolled in a longitu-dinal cohort study. Preoperatively, patients completed questionnaires measuring demographics and symptoms (pain, fatigue, sleep problems and depression). Painwas re-assessed 12 months after TKA. Logistic regression analysis was used to compute the probabilities of moderate-severe pain at 12 months based on preoperative symptom levels, and results were combined into a risk matrix. Results: More than one-third (40%) of patients (n=187) reported moderate-severepain after TKA. Among preoperative risk factors included in the logistic regressionanalyses were age, sex, pain, fatigue, sleep problems and depression. Adjusting forpossible confounders, fatigue (p=0.02) and pain (p=0.01) were signiﬁcant riskfactors for moderate-severe pain at 12-months follow-up and were retained in the ﬁnal risk matrix. The co-occurrence of high-preoperative fatigue and pain scores resulted in 57% estimated probability of moderate-severe pain at 12 months.Similarly, the co-occurrence of low-preoperative fatigue and pain scores resulted in14% estimated probability of moderate-severe pain 12 months after TKA. Conclusion: The combination of high fatigue and pain scores prior to surgery was akey risk factor for moderate-severe pain 12 months after TKA. Mapping of these factors could be used preoperatively to identify patients who are at risk to expe-rience a poor outcome of TKA.