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骨关节炎患者等待关节置换术时,活动能力及患者报告工具的最小可检测变化

Minimal detectable change for mobility and patient-reported tools in people with osteoarthritis awaiting arthroplasty.

作者信息

Naylor Justine M, Hayen Andrew, Davidson Edward, Hackett Danella, Harris Ian A, Kamalasena Gihan, Mittal Rajat

机构信息

Orthopaedic Department, Liverpool Hospital, Sydney, Australia.

出版信息

BMC Musculoskelet Disord. 2014 Jul 11;15:235. doi: 10.1186/1471-2474-15-235.

Abstract

BACKGROUND

Thoughtful use of assessment tools to monitor disease requires an understanding of clinimetric properties. These properties are often under-reported and, thus, potentially overlooked in the clinic. This study aimed to determine the minimal detectable change (MDC) and coefficient of variation per cent (CV%) for tools commonly used to assess the symptomatic and functional severity of knee and hip osteoarthritis.

METHODS

We performed a test-retest study on 136 people awaiting knee or hip arthroplasty at one of two hospitals. The MDC95 (the range over which the difference [change] for 95% of patients is expected to lie) and the coefficient of variation per cent (CV%) for the visual analogue scale (VAS) for joint pain, the six-minute walk test (6MWT), the timed up-and-go (TUG) test, the Knee Injury and Osteoarthritis Outcome Score (KOOS) and the Hip Disability and Osteoarthritis Outcome Score (HOOS) subscales were calculated.

RESULTS

Knee cohort (n = 75) - The MDC95 and CV% values were as follows: VAS 2.8 cm, 15%; 6MWT 79 m, 8%; TUG +/-36.7%, 13%; KOOS pain 20.2, 19%; KOOS symptoms 24.1, 22%; KOOS activities of daily living 20.8, 17%; KOOS quality of life 26.6, 44. Hip cohort (n = 61) - The MDC95 and CV% values were as follows: VAS 3.3 cm, 17%; 6MWT 81.5 m, 9%; TUG +/-44.6%, 16%; HOOS pain 21.6, 22%; HOOS symptoms 22.7, 19%; HOOS activities of daily living 17.7, 17%; HOOS quality of life 24.4, 43%.

CONCLUSIONS

Distinguishing real change from error is difficult in people with severe osteoarthritis. The 6MWT demonstrates the smallest measurement error amongst a range of tools commonly used to assess disease severity, thus, has the capacity to detect the smallest real change above measurement error in everyday clinical practice.

摘要

背景

谨慎使用评估工具来监测疾病需要了解临床测量特性。这些特性常常报告不足,因此在临床中可能被忽视。本研究旨在确定常用于评估膝关节和髋关节骨关节炎症状及功能严重程度的工具的最小可检测变化(MDC)和变异系数百分比(CV%)。

方法

我们对在两家医院之一等待膝关节或髋关节置换术的136人进行了重测研究。计算了关节疼痛视觉模拟量表(VAS)、六分钟步行试验(6MWT)、计时起立行走试验(TUG)、膝关节损伤和骨关节炎疗效评分(KOOS)以及髋关节残疾和骨关节炎疗效评分(HOOS)子量表的MDC95(预计95%患者的差异[变化]所在范围)和变异系数百分比(CV%)。

结果

膝关节组(n = 75)——MDC95和CV%值如下:VAS为2.8厘米,15%;6MWT为79米,8%;TUG为±36.7%,13%;KOOS疼痛为20.2,19%;KOOS症状为24.1,22%;KOOS日常生活活动为20.8,17%;KOOS生活质量为26.6,44。髋关节组(n = 61)——MDC95和CV%值如下:VAS为3.3厘米,17%;6MWT为81.5米,9%;TUG为±44.6%,16%;HOOS疼痛为21.6,22%;HOOS症状为22.7,19%;HOOS日常生活活动为17.7,17%;HOOS生活质量为24.4,43%。

结论

在重度骨关节炎患者中,区分真实变化和误差很困难。在一系列常用于评估疾病严重程度的工具中,6MWT显示出最小的测量误差,因此有能力在日常临床实践中检测出高于测量误差的最小真实变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c99/4105400/f8f7fa1655d9/1471-2474-15-235-1.jpg

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