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视觉模拟评分法与数字评分法在测量腰痛疼痛严重程度和预测残疾方面的比较。

The Visual Analogue Scale Versus Numerical Rating Scale in Measuring Pain Severity and Predicting Disability in Low Back Pain.

机构信息

From the Physical Medicine, Rheumatology and Rehabilitation Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.

出版信息

J Clin Rheumatol. 2021 Oct 1;27(7):282-285. doi: 10.1097/RHU.0000000000001320.

Abstract

BACKGROUND

Low back pain (LBP) is a public health problem that requires accurate assessment for proper management and predicting prognosis.

OBJECTIVE

This study aims to assess the agreement between visual analogue scale (VAS) and numeric rating scale (NRS) in measuring LBP severity, and investigate their ability in predicting disability.

METHODS

A cross-sectional study was performed on 100 patients with chronic LBP. Pain severity assessment was performed using VAS, NRS, and pain severity scores of the Brief Pain Inventory (BPI). Disability assessment was done by BPI-Pain interference and Modified Oswestry Disability Index (MODI).

RESULTS

There was a significant positive correlation between VAS and NRS (r = 0.92, p < 0.001) with high agreement between both as detected by Bland-Altman method (mean difference = 0.33). Moreover, there was significant (p < 0.001) positive correlation between disability scores and either VAS (r = 0.92 with BPI pain interference; r = 0.75 with MODI) or NRS (r = 0.95 with BPI pain interference; r = 0.68 with MODI). By using receiver operating characteristic curve, a score of 6 in VAS or NRS can predict severe disability, whereas VAS score higher than 4 and NRS score higher than 3 can predict moderate disability.

CONCLUSIONS

Visual analogue scale and NRS appeared reliable in assessing LBP severity with no significant difference between them. Moreover, either VAS or NRS scores can predict disability of patients with LBP.

摘要

背景

下腰痛(LBP)是一个公共卫生问题,需要准确评估以进行适当的管理和预测预后。

目的

本研究旨在评估视觉模拟量表(VAS)和数字评分量表(NRS)在测量 LBP 严重程度方面的一致性,并研究它们在预测残疾方面的能力。

方法

对 100 例慢性 LBP 患者进行横断面研究。使用 VAS、NRS 和简明疼痛量表(BPI)的疼痛严重程度评分评估疼痛严重程度。使用 BPI 疼痛干扰和改良 Oswestry 残疾指数(MODI)评估残疾。

结果

VAS 和 NRS 之间存在显著正相关(r = 0.92,p < 0.001),Bland-Altman 方法检测到两者之间具有高度一致性(平均差异= 0.33)。此外,残疾评分与 VAS(与 BPI 疼痛干扰相关 r = 0.92;与 MODI 相关 r = 0.75)或 NRS(与 BPI 疼痛干扰相关 r = 0.95;与 MODI 相关 r = 0.68)之间存在显著正相关(p < 0.001)。通过使用受试者工作特征曲线,VAS 或 NRS 的评分 6 可预测严重残疾,而 VAS 评分高于 4 和 NRS 评分高于 3 可预测中度残疾。

结论

VAS 和 NRS 在评估 LBP 严重程度方面表现可靠,两者之间无显著差异。此外,VAS 或 NRS 评分均可预测 LBP 患者的残疾情况。

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