使用 STarT 后背筛查工具对接受物理治疗的慢性下背痛患者进行纵向监测。

Longitudinal Monitoring of Patients With Chronic Low Back Pain During Physical Therapy Treatment Using the STarT Back Screening Tool.

出版信息

J Orthop Sports Phys Ther. 2017 May;47(5):314-323. doi: 10.2519/jospt.2017.7199. Epub 2017 Mar 29.

Abstract

Study Design Preplanned secondary analysis of a randomized clinical trial. Background The STarT Back Screening Tool (SBST) was developed to screen and to classify patients with low back pain into subgroups for the risk of having a poor prognosis. However, this classification at baseline does not take into account variables that can influence the prognosis during treatment or over time. Objectives (1) To investigate the changes in risk subgroup measured by the SBST over a period of 6 months, and (2) to assess the long-term predictive ability of the SBST when administered at different time points. Methods Patients with chronic nonspecific low back pain (n = 148) receiving physical therapy care as part of a randomized trial were analyzed. Pain intensity, disability, global perceived effect, and the SBST were collected at baseline, 5 weeks, 3 months, and 6 months. Changes in SBST risk classification were calculated. Hierarchical linear regression models adjusted for potential confounders were built to analyze the predictive capabilities of the SBST when administered at different time points. Results A large proportion of patients (60.8%) changed their risk subgroup after receiving physical therapy care. The SBST improved the prediction for all 6-month outcomes when using the 5-week risk subgroup and the difference between baseline and 5-week subgroup, after controlling for potential confounders. The SBST at baseline did not improve the predictive ability of the models after adjusting for confounders. Conclusion This study shows that many patients change SBST risk subgroup after receiving physical therapy care, and that the predictive ability of the SBST in patients with chronic low back pain increases when administered at different time points. Level of Evidence Prognosis, 2b. J Orthop Sports Phys Ther 2017;47(5):314-323. Epub 29 Mar 2017. doi:10.2519/jospt.2017.7199.

摘要

研究设计

随机临床试验的预先计划的二次分析。

背景

STarT 背部筛查工具(SBST)旨在对腰痛患者进行筛查和分类,以便对预后不良的风险进行分组。然而,这种基线分类并没有考虑到在治疗过程中或随着时间的推移可能影响预后的变量。

目的

(1)研究 SBST 在 6 个月期间的风险亚组的变化,(2)评估 SBST 在不同时间点进行评估时的长期预测能力。

方法

分析了接受物理治疗护理的慢性非特异性腰痛患者(n=148)。在基线、5 周、3 个月和 6 个月时收集疼痛强度、残疾、整体感知效果和 SBST。计算 SBST 风险分类的变化。建立了分层线性回归模型,以调整潜在混杂因素,分析不同时间点进行 SBST 时的预测能力。

结果

大多数患者(60.8%)在接受物理治疗护理后改变了他们的风险亚组。当控制潜在混杂因素时,SBST 可改善所有 6 个月结局的预测,使用 5 周风险亚组和基线与 5 周亚组之间的差异。调整混杂因素后,SBST 在基线时并不能提高模型的预测能力。

结论

本研究表明,许多患者在接受物理治疗护理后 SBST 风险亚组发生变化,并且当在不同时间点进行 SBST 时,慢性腰痛患者的 SBST 预测能力增加。

证据水平

预后,2b。美国矫形外科医师学会杂志 2017;47(5):314-323. 在线 2017 年 3 月 29 日。doi:10.2519/jospt.2017.7199.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索