Bezzina Oriana M, Gallagher Peter, Mitchell Sheryl, Bowman Simon J, Griffiths Bridget, Hindmarsh Victoria, Hargreaves Ben, Price Elizabeth J, Pease Colin T, Emery Paul, Lanyon Peter, Bombardieri Michele, Sutcliffe Nurhan, Pitzalis Costantino, Hunter John, Gupta Monica, McLaren John, Cooper Anne M, Regan Marian, Giles Ian P, Isenberg David A, Saravanan Vadivelu, Coady David, Dasgupta Bhaskar, McHugh Neil J, Young-Min Steven A, Moots Robert J, Gendi Nagui, Akil Mohammed, MacKay Kirsten, Ng W Fai, Robinson Lucy J
Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Arthritis Care Res (Hoboken). 2017 Nov;69(11):1714-1723. doi: 10.1002/acr.23165. Epub 2017 Oct 9.
To develop a novel method for capturing the discrepancy between objective tests and subjective dryness symptoms (a sensitivity scale) and to explore predictors of dryness sensitivity.
Archive data from the UK Primary Sjögren's Syndrome Registry (n = 688) were used. Patients were classified on a scale from -5 (stoical) to +5 (sensitive) depending on the degree of discrepancy between their objective and subjective symptoms classes. Sensitivity scores were correlated with demographic variables, disease-related factors, and symptoms of pain, fatigue, anxiety, and depression.
Patients were on average relatively stoical for both types of dryness symptoms (mean ± SD ocular dryness -0.42 ± 2.2 and -1.24 ± 1.6 oral dryness). Twenty-seven percent of patients were classified as sensitive to ocular dryness and 9% to oral dryness. Hierarchical regression analyses identified the strongest predictor of ocular dryness sensitivity to be self-reported pain and that of oral dryness sensitivity to be self-reported fatigue.
Ocular and oral dryness sensitivity can be classified on a continuous scale. The 2 symptom types are predicted by different variables. A large number of factors remain to be explored that may impact symptom sensitivity in primary Sjögren's syndrome, and the proposed method could be used to identify relatively sensitive and stoical patients for future studies.
开发一种新方法来捕捉客观测试与主观干燥症状之间的差异(一种敏感性量表),并探索干燥敏感性的预测因素。
使用来自英国原发性干燥综合征登记处的存档数据(n = 688)。根据患者客观和主观症状类别之间的差异程度,将患者分为从-5(坚忍型)到+5(敏感型)的等级。敏感性得分与人口统计学变量、疾病相关因素以及疼痛、疲劳、焦虑和抑郁症状相关。
患者对两种类型的干燥症状平均相对坚忍(平均±标准差:眼部干燥为-0.42±2.2,口腔干燥为-1.24±1.6)。27%的患者被归类为对眼部干燥敏感,9%的患者对口腔干燥敏感。分层回归分析确定,眼部干燥敏感性的最强预测因素是自我报告的疼痛,口腔干燥敏感性的最强预测因素是自我报告的疲劳。
眼部和口腔干燥敏感性可以在连续量表上进行分类。两种症状类型由不同变量预测。在原发性干燥综合征中,仍有大量可能影响症状敏感性的因素有待探索,所提出的方法可用于识别相对敏感和坚忍的患者以供未来研究。