PDF(Pubmed)
Abstract：
UNASSIGNED: Fibromyalgia (FM) is associated with altered descending pain modulatory pathways, which can be assessed through Conditioned Pain Modulation (CPM). In this study, we aimed to explore the relationship between CPM and self-reported baseline characteristics in patients with fibromyalgia. We also performed a longitudinal analysis exploring CPM as a potential predictor of clinical improvement over time in individuals with FM.
UNASSIGNED: We performed cross-sectional univariable and multivariable analyses of the relationship between CPM and other variables in 41 FM patients. We then performed longitudinal analyses, building linear mixed effects models with pain in the Visual Analogue Scale (VAS) as the dependent variable, and testing for the interaction between time and CPM. We also tested the interaction between CPM and time in models using other outcomes, such as the revised Fibromyalgia Impact Questionnaire (FIQR) and Quality of Life Scale (QOLs).
UNASSIGNED: We found no association between CPM and other demographic and clinical variables in the univariable analysis. We found a statistically significant association in the multivariable linear regression model between CPM and the QOLs at baseline, after controlling for age, sex, and duration of symptoms. In the longitudinal analyses, we found that CPM is an effect modifier for clinical improvement over time for the pain VAS, QOLs and FIQR: individuals with low-efficient CPM at baseline have a different (improved) pattern of response over time when compared to those with high-efficient CPM.
UNASSIGNED: Our findings suggest that CPM is not a reliable biomarker of clinical manifestations in chronic pain patients during cross-sectional assessments. However, our results are consistent with previous findings that CPM can be used to predict the evolution of clinical pain over time. We expect that our findings will help in the selection of patients with the best profile to respond to specific interventions and assist clinicians in tailoring pain treatments.
UNASSIGNED: We performed cross-sectional univariable and multivariable analyses of the relationship between CPM and other variables in 41 FM patients. We then performed longitudinal analyses, building linear mixed effects models with pain in the Visual Analogue Scale (VAS) as the dependent variable, and testing for the interaction between time and CPM. We also tested the interaction between CPM and time in models using other outcomes, such as the revised Fibromyalgia Impact Questionnaire (FIQR) and Quality of Life Scale (QOLs).
UNASSIGNED: We found no association between CPM and other demographic and clinical variables in the univariable analysis. We found a statistically significant association in the multivariable linear regression model between CPM and the QOLs at baseline, after controlling for age, sex, and duration of symptoms. In the longitudinal analyses, we found that CPM is an effect modifier for clinical improvement over time for the pain VAS, QOLs and FIQR: individuals with low-efficient CPM at baseline have a different (improved) pattern of response over time when compared to those with high-efficient CPM.
UNASSIGNED: Our findings suggest that CPM is not a reliable biomarker of clinical manifestations in chronic pain patients during cross-sectional assessments. However, our results are consistent with previous findings that CPM can be used to predict the evolution of clinical pain over time. We expect that our findings will help in the selection of patients with the best profile to respond to specific interventions and assist clinicians in tailoring pain treatments.
摘要：
■纤维肌痛（FM）与疼痛调节途径的下降有关，这可以通过条件性疼痛调节（CPM）进行评估。在这项研究中,我们旨在探讨纤维肌痛患者CPM与自我报告基线特征之间的关系.我们还进行了一项纵向分析，探索CPM作为FM患者随时间临床改善的潜在预测指标。
■我们对41例FM患者的CPM与其他变量之间的关系进行了横截面单变量和多变量分析。然后我们进行了纵向分析，以视觉模拟评分(VAS)为因变量，建立线性混合效应模型，并测试时间和CPM之间的相互作用。我们还使用其他结果在模型中测试了CPM和时间之间的相互作用，如修订的纤维肌痛影响问卷（FIQR）和生活质量量表（QOL）。
■在单变量分析中，我们发现CPM与其他人口统计学和临床变量之间没有关联。我们发现CPM和基线时的QOL之间的多变量线性回归模型存在统计学上显著的关联，在控制了年龄之后，性别,和症状的持续时间。在纵向分析中，我们发现CPM是疼痛VAS随时间临床改善的效应调节剂，QOL和FIQR:当与具有高效CPM的个体相比时,在基线具有低效率CPM的个体随时间具有不同的(改善的)响应模式。
■我们的研究结果表明，在横断面评估中，CPM不是慢性疼痛患者临床表现的可靠生物标志物。然而,我们的结果与之前的发现一致,即CPM可用于预测临床疼痛随时间的演变.我们希望我们的发现将有助于选择具有最佳特征的患者，以应对特定的干预措施，并帮助临床医生定制疼痛治疗。
■我们对41例FM患者的CPM与其他变量之间的关系进行了横截面单变量和多变量分析。然后我们进行了纵向分析，以视觉模拟评分(VAS)为因变量，建立线性混合效应模型，并测试时间和CPM之间的相互作用。我们还使用其他结果在模型中测试了CPM和时间之间的相互作用，如修订的纤维肌痛影响问卷（FIQR）和生活质量量表（QOL）。
■在单变量分析中，我们发现CPM与其他人口统计学和临床变量之间没有关联。我们发现CPM和基线时的QOL之间的多变量线性回归模型存在统计学上显著的关联，在控制了年龄之后，性别,和症状的持续时间。在纵向分析中，我们发现CPM是疼痛VAS随时间临床改善的效应调节剂，QOL和FIQR:当与具有高效CPM的个体相比时,在基线具有低效率CPM的个体随时间具有不同的(改善的)响应模式。
■我们的研究结果表明，在横断面评估中，CPM不是慢性疼痛患者临床表现的可靠生物标志物。然而,我们的结果与之前的发现一致,即CPM可用于预测临床疼痛随时间的演变.我们希望我们的发现将有助于选择具有最佳特征的患者，以应对特定的干预措施，并帮助临床医生定制疼痛治疗。
