Petersen Kristian Kjær-Staal, O'Neill Søren, Blichfeldt-Eckhardt Morten Rune, Nim Casper, Arendt-Nielsen Lars, Vægter Henrik Bjarke
Department of Materials and Production, Center for Mathematical Modeling of Knee Osteoarthritis (MathKOA), Aalborg University, Aalborg, Denmark.
Department of Health Science and Technology, Faculty of Medicine, Center for Neuroplasticity and Pain, Aalborg University, Aalborg, Denmark.
Eur J Pain. 2025 Mar;29(3):e4741. doi: 10.1002/ejp.4741. Epub 2024 Oct 10.
Pain profiles (e.g. pro- and anti-nociceptive) can be developed using quantitative sensory testing (QST) but substantial variability exists. This study describes the variability in temporal summation of pain (TSP) and conditioned pain modulation (CPM) in chronic musculoskeletal pain patients, proposes cut-off values, and explores the association with clinical pain intensity.
This is a secondary analysis in which TSP and CPM were assessed using cuff algometry in pain-free subjects (n = 69), and patients with chronic low back pain (cLBP, n = 267), osteoarthritis (n = 134), and fibromyalgia (n = 101). Using TSP and CPM from the pain-free subjects as a reference, four distinct pain profiles TSP (low/high) and CPM (low/high) were created, and differences in clinical pain between pain profiles were explored.
Individual data revealed large inter-person variability. High TSP and low CPM were found in fibromyalgia (p < 0.01) and osteoarthritis (p < 0.01) but not cLBP when compared to pain-free subjects. The proportion of patients classified into the distinct pain profiles was significantly different (p < 0.001) with the largest proportion in the high TSP and low CPM group in fibromyalgia (52.5%) and osteoarthritis (41.4%). Clinical pain was not significantly different comparing the pain profiles, and no significant correlations were observed between clinical pain and TSP or CPM.
These results demonstrated substantial inter-person variability in TSP and CPM in patients with different chronic pain conditions and pain-free subjects. The proportion of patients with a pro-nociceptive profile appears larger in fibromyalgia and osteoarthritis, but we found no association to clinical pain.
This analysis shows that there is variability when assessing TSP and CPM in both pain-free subjects and patients with chronic pain. A cut-off for determining when a person is pain-sensitive is proposed, and data based on this cut-off approach suggest that significantly more patients with osteoarthritis and fibromyalgia are pain-sensitive (i.e. higher TSP and lower CPM) compared to pain-free subjects. This analysis does not find an association between pain sensitivity and clinical pain.
疼痛特征(如促伤害感受性和抗伤害感受性)可通过定量感觉测试(QST)得出,但存在显著变异性。本研究描述了慢性肌肉骨骼疼痛患者疼痛时间总和(TSP)和条件性疼痛调制(CPM)的变异性,提出了临界值,并探讨了其与临床疼痛强度的关联。
这是一项二次分析,其中使用袖带测痛法对无痛受试者(n = 69)、慢性下腰痛(cLBP,n = 267)、骨关节炎(n = 134)和纤维肌痛(n = 101)患者进行TSP和CPM评估。以无痛受试者的TSP和CPM为参考,创建了四种不同的疼痛特征:TSP(低/高)和CPM(低/高),并探讨了不同疼痛特征之间临床疼痛的差异。
个体数据显示出较大的个体间变异性。与无痛受试者相比,纤维肌痛(p < 0.01)和骨关节炎(p < 0.01)患者中发现高TSP和低CPM,但cLBP患者未发现。分类到不同疼痛特征的患者比例存在显著差异(p < 0.001),纤维肌痛(52.5%)和骨关节炎(41.4%)患者中高TSP和低CPM组的比例最大。比较不同疼痛特征时,临床疼痛无显著差异,且未观察到临床疼痛与TSP或CPM之间存在显著相关性。
这些结果表明,不同慢性疼痛患者和无痛受试者在TSP和CPM方面存在显著的个体间变异性。纤维肌痛和骨关节炎患者中具有促伤害感受性特征的患者比例似乎更大,但我们未发现其与临床疼痛的关联。
该分析表明,在评估无痛受试者和慢性疼痛患者的TSP和CPM时存在变异性。提出了一个用于确定个体是否对疼痛敏感的临界值,基于该临界值方法的数据表明,与无痛受试者相比,骨关节炎和纤维肌痛患者中对疼痛敏感(即TSP较高且CPM较低)的患者明显更多。该分析未发现疼痛敏感性与临床疼痛之间存在关联。