Schäfer Arne, Kovacs Magdolna Szilvia, Nigg Axel, Feuchtenberger Martin
Medizinische Klinik und Poliklinik II, University Hospital Würzburg, 97080 Würzburg, Germany.
Diabetes Zentrum Mergentheim, 97980 Bad Mergentheim, Germany.
Healthcare (Basel). 2024 Sep 29;12(19):1948. doi: 10.3390/healthcare12191948.
The objective of this study was to assess the potential value of patient-reported outcomes (PROs) of depression, fibromyalgia symptoms, and pain in predicting non-inflammatory vs. inflammatory diagnoses in rheumatology patients.
This retrospective, single-center study evaluated electronic health record (EHR) data from adults who were seen for their first rheumatology consultation and subsequently received a diagnosis of an inflammatory (e.g., rheumatoid arthritis or spondyloarthritis) or non-inflammatory (e.g., osteoarthritis or fibromyalgia) condition. The PROs evaluated included depressive symptoms (Patient Health Questionnaire-2 [PHQ-2]), fibromyalgia symptom severity (FM SS), and pain.
A total of 3669 patients were evaluated, including patients with (n = 984; 26.82%) and without (n = 2685; 73.18%) inflammatory rheumatologic disease, of whom 141 (3.8%) had fibromyalgia. The non-inflammatory subgroup reported higher FM SS scores, and the inflammatory subgroup had higher pain and inflammatory markers. Bivariate models based on PHQ-2 and FM SS had a very low specificity (0.3%) for predicting non-inflammatory conditions, resulting in the misclassification of >99% of inflammatory cases. Adding pain, inflammatory markers, and other relevant EHR variables increased specificity but still resulted in a high level of misclassification.
The PROs evaluated in this study are not suitable for predicting non-inflammatory vs. inflammatory rheumatologic disease, even when combined with other EHR variables.
本研究的目的是评估患者报告的抑郁症、纤维肌痛症状和疼痛结局在预测风湿病患者非炎症性与炎症性诊断方面的潜在价值。
这项回顾性单中心研究评估了首次接受风湿病咨询并随后被诊断为炎症性(如类风湿性关节炎或脊柱关节炎)或非炎症性(如骨关节炎或纤维肌痛)疾病的成年人的电子健康记录(EHR)数据。评估的患者报告结局包括抑郁症状(患者健康问卷-2 [PHQ-2])、纤维肌痛症状严重程度(FM SS)和疼痛。
共评估了3669例患者,包括患有炎症性风湿性疾病(n = 984;26.82%)和未患有炎症性风湿性疾病(n = 2685;73.18%)的患者,其中141例(3.8%)患有纤维肌痛。非炎症亚组报告的FM SS评分较高,炎症亚组的疼痛和炎症标志物较高。基于PHQ-2和FM SS的二元模型在预测非炎症性疾病方面特异性非常低(0.3%),导致超过99%的炎症性病例被错误分类。加入疼痛、炎症标志物和其他相关EHR变量可提高特异性,但仍导致高水平的错误分类。
本研究中评估的患者报告结局不适合预测非炎症性与炎症性风湿性疾病,即使与其他EHR变量相结合也是如此。