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Investigating the patient acceptable symptom state cut-offs: longitudinal data from a community cohort using the shoulder pain and disability index.
Rheumatology International ( IF 4 ) Pub Date : 2019-12-03 , DOI: 10.1007/s00296-019-04486-3
Gui Tran 1, 2 , Bright Dube 1, 2 , Sarah R Kingsbury 1, 2 , Alan Tennant 1 , Philip G Conaghan 1, 2, 3 , Elizabeth M A Hensor 1, 2
Affiliation  

This prospective study aimed to determine the patient acceptable symptom state (PASS) cut-off for the patient reported outcome measure shoulder pain and disability index (SPADI), and evaluate predictors of PASS achievement following standard shoulder care. Patients with shoulder pain, referred for shoulder ultrasound were recruited from a community cohort. Patients completed both SPADI (scored 0-130) and a question on symptom state and followed-up at 6 months. PASS was calculated from Rasch-transformed scores using 2 methods: the 75th percentile of the cumulative response curve and the receiver operating characteristic curve (ROC). Logistic regression was used to identify factors associated with PASS. 304 participants (169 females, mean age 57.2 years) were included. At 6 months, 193 (63%) reported PASS. The association between SPADI at 6 months and PASS depended on baseline SPADI (interaction p = 0.036). Those with higher baseline scores had higher 6 months PASS cut-offs. Using the 75th percentile method, the 6 months total SPADI cut-off was 49.2 in those starting in the highest tertile at baseline compared to 39.4 in the lowest tertile: 46.4 vs. 36.7 for pain, 46.8 vs. 25.1 for disability. The ROC method yielded similar results. We have shown for the first time that the PASS cut-off for SPADI is dependent on baseline severity scores. Understanding the SPADI PASS threshold is important for clinical research to allow standardised reporting of shoulder intervention success at the patient level.

中文翻译:

研究患者可接受的症状状态临界值:使用肩部疼痛和残疾指数从社区队列获得的纵向数据。

这项前瞻性研究旨在确定患者报告的结局指标肩痛和残疾指数(SPADI)的患者可接受的症状状态(PASS)临界值,并评估标准肩部护理后PASS成就的预测指标。从社区队列中招募因肩部超声检查而有肩痛的患者。患者均完成了SPADI(评分为0-130)和症状状态问题,并在6个月时进行了随访。通过2种方法根据Rasch转换的分数计算出PASS:累积响应曲线的第75个百分位数和接收器工作特性曲线(ROC)。Logistic回归用于确定与PASS相关的因素。包括304名参与者(169名女性,平均年龄57.2岁)。在6个月时,有193(63%)个报告通过。6个月时SPADI与PASS之间的关联取决于基线SPADI(交互作用p = 0.036)。基线得分较高的患者,其6个月PASS截止值较高。使用第75个百分位数方法,基线时最高三分位数开始的6个月总SPADI截止值为49.2,最低三分位数为39.4:疼痛的46.4 vs. 36.7,残疾的46.8 vs. 25.1。ROC方法产生了相似的结果。我们首次表明,SPADI的PASS临界值取决于基线严重性评分。了解SPADI PASS阈值对于临床研究非常重要,以便能够标准化报告患者一级的肩部干预成功。使用第75个百分位数方法,基线时最高三分位数开始的6个月总SPADI截止值为49.2,最低三分位数为39.4:疼痛的46.4 vs. 36.7,残疾的46.8 vs. 25.1。ROC方法产生了相似的结果。我们首次表明,SPADI的PASS临界值取决于基线严重性评分。了解SPADI PASS阈值对于临床研究非常重要,以便能够标准化报告患者一级的肩部干预成功。使用第75个百分位数方法,基线时最高三分位数开始的6个月总SPADI截止值为49.2,最低三分位数为39.4:疼痛的46.4 vs. 36.7,残疾的46.8 vs. 25.1。ROC方法产生了相似的结果。我们首次表明,SPADI的PASS临界值取决于基线严重性评分。了解SPADI PASS阈值对于临床研究非常重要,以便能够标准化报告患者一级的肩部干预成功。我们首次表明,SPADI的PASS临界值取决于基线严重性评分。了解SPADI PASS阈值对于临床研究非常重要,以便能够标准化报告患者一级的肩部干预成功。我们首次表明,SPADI的PASS临界值取决于基线严重性评分。了解SPADI PASS阈值对于临床研究非常重要,以便能够标准化报告患者一级的肩部干预成功。
更新日期:2020-03-16
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