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首页> 外文期刊>BioMed research international >Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care
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Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care

机译:自我报告问卷和复合临床疾病指数中评估类风湿性关节炎活动的患者可接受的症状状态:鉴定常规护理的截止点

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Objective. To provide information on the value of Patient Acceptable Symptom State (PASS) in rheumatoid arthritis (RA) by the identification of PASS thresholds for patient-reported outcomes (PROs) composite scores. Methods. The characteristics of RA patients with affirmative and negative assignment to PASS were compared. Contributors to physician response were estimated by logistic regression models and PASS thresholds by the 75th percentile and receiver-operating characteristic (ROC) curve methods. Results. 303 RA patients completed the study. All PROs were different between the PASS (+) and PASS (-) groups (p < 0.0001). The thresholds with the 75th percentile approach were 2.0 for the RA Impact of Disease (RAID) score, 2.5 for the PRO-CLinical ARthritis Activity (PRO-CLARA) index, and 1.0 for the Recent-Onset Arthritis Disability (ROAD) questionnaire. The cut-off values for Clinical Disease Activity Index (CDAI) were in the moderate range of disease activity. Assessing the size of the logistic regression coefficients, the strongest predictors of PASS were the disease activity (p = 0.0007) and functional state level (0.006). Conclusion. PASS thresholds were relatively high and many patients in PASS had moderate disease activity states according to CDAI. Factors such as disease activity and physical function may influence a negative PASS.
机译:客观的。通过鉴定患者报告的结果(优点)复合分数的通过阈值,提供有关类风湿性关节炎(RA)中患者可接受的症状状态(PACS)的价值的信息。方法。比较了RA患者对通过的肯定和负面分配的特点。逻辑回归模型估计了医生响应的贡献者,并通过第75百分位和接收器操作特征(ROC)曲线方法通过阈值。结果。 303患者完成了该研究。通过(+)和通过( - )组(P <0.0001)之间的所有优点是不同的。第75百分位方法的阈值为2.0疾病(RAID)得分的RA影响,2.5对于亲临床关节炎活性(Pro-Clara)指数,1.0,近期发病性关节炎残疾(道路)问卷。临床疾病活动指数(CDAI)的截止值在中等的疾病活动中。评估Logistic回归系数的大小,通过的最强预测因子是疾病活动(P = 0.0007)和功能状态水平(0.006)。结论。通过阈值相对较高,并且许多通过根据CDAI的患者具有中度疾病活动状态。疾病活动和物理功能等因素可能影响负面通行证。

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