PainDETECT as a Potential Tool for Personalized Medicine: Predicting Outcome One Year After Knee Arthroplasty

Amanda J.W. Wall MSc , Kirsten M. Leyland MSc, DPhil , Amit Kiran PhD , Nigel K. Arden MD , Cyrus Cooper MA, DM , Vishvarani Wanigasekera MBBS, DPhil , M. Kassim Javaid MBBS, PhD , Andrew J. Price MA, PhD , Irene M.C. Tracey MA, DPhil , Anushka Irani MA, BM BCh, DPhil
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Abstract

Objective

To investigate whether neuropathic-like pain, identified using the PainDETECT questionnaire, predicts postoperative symptoms, using data from 2 independent, prospective cohort studies.

Patients and Methods

Data were collected from patients undergoing primary knee arthroplasty for primary osteoarthritis recruited to the Evaluation of perioperative Pain in Osteoarthritis of the kNEe (EPIONE) Study n=120, from October 1, 2011, to May 30, 2014, and the Clinical Outcomes in Arthroplasty Study (COASt) n=404, from January 1, 2010, to December 31, 2018). The PainDETECT questionnaire score was used to divide patients into nociceptive (<13), unclear (13-18), and neuropathic pain (>18) groups preoperatively using validated cutoffs. As the neuropathic group also captures nociplastic pain, we used neuropathic-like to represent this combination. Surgical outcome was compared between groups using the Oxford Knee Score (OKS) and the presence of moderate to severe pain 12 months after arthroplasty.

Results

Total of 296 (56%) reported nociceptive, 144 (27%) unclear, and 84 (16%) neuropathic-like pain preoperatively. Patients in the neuropathic-like pain group had significantly worse OKS postoperatively, compared with the nociceptive group (34 [12] vs 40 [8], P<.05), independent of baseline OKS, age, sex, and body mass index. Moderate to severe pain 12 months after arthroplasty was statistically significantly higher in the unclear (OR 2.19 [95% CI, 1.36-3.53]) and neuropathic-like (OR, 2.83 [95% CI, 1.58-5.09]) pain groups when compared with the nociceptive group.

Conclusion

Patients classified presurgery as having unclear and neuropathic pain by the modified PainDETECT have considerably worse outcomes after surgery. Neuropathic pain categorized by this tool commonly has centralized pain features and is a potential predictor of ongoing postsurgical pain. Knowledge of this may aid informed decision-making with respect to surgical intervention for those with knee osteoarthritis.
PainDETECT作为个性化医疗的潜在工具:预测膝关节置换术后一年的预后
目的利用两项独立的前瞻性队列研究的数据,探讨使用PainDETECT问卷识别的神经性疼痛是否能预测术后症状。患者和方法数据收集于2011年10月1日至2014年5月30日,参与膝骨关节炎围手术期疼痛评估(EPIONE)研究(n=120)的原发性骨关节炎患者,以及2010年1月1日至2018年12月31日,参与关节成形术临床结局研究(COASt) (n=404)的原发性骨关节炎患者。术前使用PainDETECT问卷评分将患者分为伤害性疼痛(<13)、不清楚性疼痛(< 18)和神经性疼痛(>18)组。由于神经性疼痛组也有伤害性疼痛,我们使用神经性疼痛样来表示这种组合。采用牛津膝关节评分(OKS)和关节置换术后12个月出现中度至重度疼痛比较两组手术结果。结果共有296例(56%)报告了术前伤害性疼痛,144例(27%)不清楚,84例(16%)神经性疼痛。与伤害性疼痛组相比,神经性疼痛组患者术后OKS明显更差(34 [12]vs 40 [8], P< 0.05),与基线OKS、年龄、性别和体重指数无关。关节置换术后12个月,不清楚疼痛组(OR为2.19 [95% CI, 1.36-3.53])和神经性疼痛组(OR为2.83 [95% CI, 1.58-5.09])的中度至重度疼痛与伤害性疼痛组相比有统计学意义上的显著升高。结论改良的PainDETECT将手术分类为不明性和神经性疼痛的患者术后预后明显较差。通过该工具分类的神经性疼痛通常具有集中的疼痛特征,并且是持续的术后疼痛的潜在预测因子。了解这一点可能有助于对膝关节骨关节炎患者进行手术干预的明智决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mayo Clinic proceedings. Innovations, quality & outcomes
Mayo Clinic proceedings. Innovations, quality & outcomes Surgery, Critical Care and Intensive Care Medicine, Public Health and Health Policy
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