REVAL Rehabilitation Research, Faculty of Rehabilitation Sciences, Hasselt University, Agoralaan Building A - B-3590, Diepenbeek, Belgium.
Spine, Head and Pain Research Unit Ghent, Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.
BMC Musculoskelet Disord. 2023 Mar 25;24(1):224. doi: 10.1186/s12891-023-06326-9.
Large heterogeneity exists in the clinical manifestation of hip osteoarthritis (OA). It is therefore not surprising that pain and disability in individuals with hip OA and after total hip arthroplasty (THA) cannot be explained by biomedical variables alone. Indeed, also maladaptive pain-related cognitions and emotions can contribute to pain and disability, and can lead to poor treatment outcomes. Traumatic experiences, mental disorders, self-efficacy and social support can influence stress appraisal and strategies to cope with pain, but their influence on pain and disability has not yet been established in individuals with hip OA undergoing THA. This study aims (1) to determine the influence of traumatic experiences and mental disorders on pain processing before and shortly after THA (2) to identify preoperative clinical phenotypes in individuals with hip OA eligible for THA, (3) to identify pre- and early postoperative prognostic factors for outcomes in pain and disability after THA, and (4) to identify postoperative clinical phenotypes in individuals after THA.
This prospective longitudinal cohort study will investigate 200 individuals undergoing THA for hip OA. Phenotyping variables and candidate prognostic factors include pain-related fear-avoidance behaviour, perceived injustice, mental disorders, traumatic experiences, self-efficacy, and social support. Peripheral and central pain mechanisms will be assessed with thermal quantitative sensory testing. The primary outcome measure is the hip disability and osteoarthritis outcome score. Other outcome measures include performance-based measures, hip muscle strength, the patient-specific functional scale, pain intensity, global perceived effect, and outcome satisfaction. All these measurements will be performed before surgery, as well as 6 weeks, 3 months, and 12 months after surgery. Pain-related cognitions and emotions will additionally be assessed in the early postoperative phase, on the first, third, fifth, and seventh day after THA. Main statistical methods that will be used to answer the respective research questions include: LASSO regression, decision tree learning, gradient boosting algorithms, and recurrent neural networks.
The identification of clinical phenotypes and prognostic factors for outcomes in pain and disability will be a first step towards pre- and postoperative precision medicine for individuals with hip OA undergoing THA.
ClinicalTrials.gov: NCT05265858. Registered on 04/03/2022.
髋关节骨关节炎(OA)的临床表现存在很大的异质性。因此,髋关节 OA 患者和全髋关节置换术(THA)后的疼痛和残疾不能仅用生物医学变量来解释,这并不奇怪。事实上,适应性不良的与疼痛相关的认知和情绪也会导致疼痛和残疾,并导致治疗效果不佳。创伤经历、精神障碍、自我效能和社会支持会影响对压力的评估和应对疼痛的策略,但它们对接受 THA 的髋关节 OA 患者的疼痛和残疾的影响尚未确定。本研究旨在:(1)确定创伤经历和精神障碍对 THA 前后疼痛处理的影响;(2)确定有 THA 适应证的髋关节 OA 患者的术前临床表型;(3)确定 THA 后疼痛和残疾结局的术前和早期术后预测因素;(4)确定 THA 后患者的术后临床表型。
这是一项前瞻性纵向队列研究,将纳入 200 名接受 THA 治疗的髋关节 OA 患者。表型变量和候选预后因素包括与疼痛相关的恐惧回避行为、感知不公、精神障碍、创伤经历、自我效能和社会支持。将使用热定量感觉测试评估外周和中枢疼痛机制。主要结局测量指标是髋关节残疾和骨关节炎结局评分。其他结局测量指标包括基于表现的测量、髋关节肌肉力量、患者特定功能量表、疼痛强度、整体感知效果和结局满意度。所有这些测量将在手术前以及手术后 6 周、3 个月和 12 个月进行。术后早期阶段(THA 后第 1、3、5 和 7 天)还将评估与疼痛相关的认知和情绪。用于回答各个研究问题的主要统计方法包括:LASSO 回归、决策树学习、梯度提升算法和递归神经网络。
识别疼痛和残疾结局的临床表型和预后因素将是迈向接受 THA 的髋关节 OA 患者术前和术后精准医学的第一步。
ClinicalTrials.gov:NCT05265858。注册于 2022 年 4 月 3 日。