Gräper Pieter J, Scafoglieri Aldo, Clark Jacqueline R, Hallegraeff Joannes M
Experimental Anatomy Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium.
Department of Master Education, SOMT University of Physiotherapy, Softwareweg 5, 3821 BN Amersfoort, The Netherlands.
J Clin Med. 2024 Aug 9;13(16):4677. doi: 10.3390/jcm13164677.
: Acute low back pain has a high prevalence, and when persisting into chronicity, it results in enormous socio-economic consequences. Sensory preferences may be key factors in predicting central sensitization as the main mechanism of nociplastic pain and chronicity. : Build a model to predict central sensitization symptoms using sensory profiles based on the PROGRESS framework. : A Prognostic Model Research study was carried out to predict central sensitization symptoms at 12 weeks, using baseline sensory profiles, based on 114 patients with acute low back pain. Independent variables were sensory profiles, state and trait anxiety, age, duration, pain severity, depressive symptoms, and pain catastrophizing. : This model, based on continuous data, significantly predicts central sensitization symptoms at 12 weeks. It contains two significantly contributing variables: sensory profile Sensory Sensitive (unstandardized B-value = 0.42; = 0.01) and trait anxiety (unstandardized B-value = 0.53; ≤ 0.001). The model has a predictive value of R = 0.38. : This model significantly predicts central sensitization symptoms based on sensory profile Sensory Sensitive and trait anxiety. This model may be a useful tool to intervene in a bottom-up and top-down approaches to prevent chronicity in clinical practice, including individual sensory preferences and behavioral responses to sensory stimulation in rehabilitation strategies.
急性下背痛患病率很高，若持续发展为慢性，则会导致巨大的社会经济后果。感觉偏好可能是预测中枢敏化的关键因素，而中枢敏化是伤害性感受性疼痛和慢性化的主要机制。：基于PROGRESS框架，利用感觉特征构建一个预测中枢敏化症状的模型。：开展了一项预后模型研究，以114例急性下背痛患者的基线感觉特征为基础，预测12周时的中枢敏化症状。自变量包括感觉特征、状态焦虑和特质焦虑、年龄、病程、疼痛严重程度、抑郁症状以及疼痛灾难化。：这个基于连续数据的模型能显著预测12周时的中枢敏化症状。它包含两个显著的影响变量：感觉特征“感觉敏感”（未标准化B值 = 0.42；P = 0.01）和特质焦虑（未标准化B值 = 0.53；P ≤ 0.001）。该模型的预测值R = 0.38。：这个模型基于感觉特征“感觉敏感”和特质焦虑能显著预测中枢敏化症状。该模型可能是一种有用的工具，可用于在临床实践中采用自下而上和自上而下的方法进行干预，以预防慢性化，包括在康复策略中考虑个体感觉偏好和对感觉刺激的行为反应。
