Da Silva José A P, Jacobs Johannes W G, Branco Jaime C, Canaipa Rita, Gaspar M Filomena, Griep Ed N, van Helmond Toon, Oliveira Paula J, Zijlstra Theo J, Geenen Rinie
Department of Rheumatology, University of Coimbra, Portugal.
Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, The Netherlands.
Clin Exp Rheumatol. 2017 May-Jun;35 Suppl 105(3):43-49. Epub 2017 Feb 23.
To determine if experienced health care providers (HCPs) can recognise patients with fibromyalgia (FM) based on a limited set of personality items, exploring the existence of a FM personality.
From the 240-item NEO-PI-R personality questionnaire, 8 HCPs from two different countries each selected 20 items they considered most discriminative of FM personality. Then, evaluating the scores on these items of 129 female patients with FM and 127 female controls, each HCP rated the probability of FM for each individual on a 0-10 scale. Personality characteristics (domains and facets) of selected items were determined. Scores of patients with FM and controls on the eight 20-item sets, and HCPs' estimates of each individual's probability of FM were analysed for their discriminative value.
The eight 20-item sets discriminated for FM, with areas under the receiver operating characteristic curve ranging from 0.71-0.81. The estimated probabilities for FM showed, in general, percentages of correct classifications above 50%, with rising correct percentages for higher estimated probabilities. The most often chosen and discriminatory items were predominantly of the domain neuroticism (all with higher scores in FM), followed by some items of the facet trust (lower scores in FM).
HCPs can, based on a limited set of items from a personality questionnaire, distinguish patients with FM from controls with a statistically significant probability. The HCPs' expectation that personality in FM patients is associated with higher levels for aspects of neuroticism (proneness to psychological distress) and lower scores for aspects of trust, proved to be correct.
确定经验丰富的医疗保健提供者（HCPs）能否基于一组有限的人格项目识别出纤维肌痛（FM）患者，探索FM人格的存在。
从240项的NEO-PI-R人格问卷中，来自两个不同国家的8名HCPs每人选择了20项他们认为最能区分FM人格的项目。然后，评估129名女性FM患者和127名女性对照在这些项目上的得分，每位HCPs在0-10的量表上对每个人患FM的可能性进行评分。确定所选项目的人格特征（领域和方面）。分析FM患者和对照在八个20项组上的得分，以及HCPs对每个人患FM可能性的估计，以评估其判别价值。
八个20项组对FM具有判别能力，受试者工作特征曲线下面积范围为0.71-0.81。FM的估计概率总体上显示正确分类的百分比高于50%，估计概率越高，正确百分比越高。最常被选择且具有判别性的项目主要来自神经质领域（在FM中得分均较高），其次是一些信任方面的项目（在FM中得分较低）。
HCPs可以基于人格问卷中的一组有限项目，以具有统计学意义的概率将FM患者与对照区分开来。HCPs关于FM患者的人格与神经质方面（心理困扰倾向）水平较高以及信任方面得分较低相关的预期被证明是正确的。
