Petersen Kristian Kjær-Staal, Kilic Kübra, Hertel Emma, Sejersgaard-Jacobsen Trine Hyttel, Jørgensen Marlene Kanstrup, Troelsen Anders, Arendt-Nielsen Lars, Boye Larsen Dennis
Center for Neuroplasticity and Pain (CNAP), SMI, Department of Health Science and Technology, School of Medicine, Aalborg University, Aalborg, Denmark.
Center for Mathematical Modeling of Knee Osteoarthritis (MathKOA), Department of Material and Production, Faculty of Engineering and Science, Aalborg University, Aalborg, Denmark.
Pain Rep. 2023 Jun 5;8(4):e1079. doi: 10.1097/PR9.0000000000001079. eCollection 2023 Jul-Aug.
Emerging evidence suggest that quantitative sensory testing (QST) may predict the treatment response to pain-relieving therapies. This systematic review and meta-analysis focus on the predictive value of QST for pain management of knee osteoarthritis (OA). MEDLINE and EMBASE were systematically searched for all studies from year 2000 to 2023 on pretreatment QST and treatment of OA including surgical, pharmaceutical, and nonsurgical and nonpharmaceutical therapies. Preclinical studies and reviews were excluded. The systematic review followed the PRISMA guidelines and was pre-registered on the Open Science Framework website (link: https://osf.io/4FETK/, Identifier: DOI 10.17605/OSF.IO/4FETK). Meta-analysis were conducted to demonstrate the strength of the pre-treatment QST predictions on pain outcomes after OA treatments. Sixteen surgical (all on total knee arthroplasty [TKA], N = 1967), 5 pharmaceutical (4 on non-steroidal anti-inflammatory drugs [NSAIDs], N = 271), and 4 exercise-based therapy studies (N = 232) were identified. Pretreatment QST parameters predicted pain-relieving treatment outcomes in 81% of surgical, 100% of pharmaceutical, and 50% of exercise-based therapy studies. Meta-analyses found pretreatment QST profiles to predicted pain outcomes after TKA (random effects: 0.309, 95% confidence interval [CI]: 0.206-0.405, < 0.001), NSAIDs (random effects: 0.323, 95% CI: 0.194-0.441, < 0.001), and exercise-based therapies (random effects: 0.417, 95% CI: 0.138-0.635, = 0.004). The overall risk of bias for the included studies was low to moderate. This systematic review and meta-analysis demonstrate weak-to-moderate associations between pretreatment QST and pain outcomes after standard OA pain treatments. Based on this work, it is hypothesized that a subset of specific pain sensitive patients with OA exist and that these patients do not respond adequately to standard OA pain treatments.
新出现的证据表明,定量感觉测试(QST)可能预测对止痛疗法的治疗反应。本系统评价和荟萃分析聚焦于QST对膝关节骨关节炎(OA)疼痛管理的预测价值。对MEDLINE和EMBASE进行了系统检索,以查找2000年至2023年所有关于OA预处理QST及治疗(包括手术、药物以及非手术和非药物疗法)的研究。排除临床前研究和综述。该系统评价遵循PRISMA指南,并在开放科学框架网站(链接:https://osf.io/4FETK/,标识符:DOI 10.17605/OSF.IO/4FETK)上进行了预注册。进行荟萃分析以证明OA治疗后预处理QST预测疼痛结局的强度。确定了16项手术研究(均为全膝关节置换术[TKA],N = 1967)、5项药物研究(4项关于非甾体抗炎药[NSAIDs],N = 271)和4项基于运动的治疗研究(N = 232)。在81%的手术研究、100%的药物研究和50%的基于运动的治疗研究中,预处理QST参数预测了止痛治疗结局。荟萃分析发现,预处理QST概况可预测TKA(随机效应:0.309,95%置信区间[CI]:0.206 - 0.405,< 0.001)、NSAIDs(随机效应:0.323,95% CI:0.194 - 0.441,< 0.001)和基于运动的疗法(随机效应:0.417,95% CI:0.138 - 0.635,= 0.004)后的疼痛结局。纳入研究的总体偏倚风险为低到中度。本系统评价和荟萃分析表明,在标准OA疼痛治疗后,预处理QST与疼痛结局之间存在弱到中度的关联。基于这项工作,推测存在一部分特定的对疼痛敏感的OA患者,并且这些患者对标准OA疼痛治疗反应不佳。