Suppr超能文献

在门诊物理治疗环境中评估STarT Back筛查工具对下背痛强度的预测能力。

Evaluation of the STarT Back Screening Tool for Prediction of Low Back Pain Intensity in an Outpatient Physical Therapy Setting.

作者信息

Toh Irene, Chong Hwei-Chi, Suet-Ching Liaw Jennifer, Pua Yong-Hao

出版信息

J Orthop Sports Phys Ther. 2017 Apr;47(4):261-267. doi: 10.2519/jospt.2017.7284. Epub 2017 Mar 3.

Abstract

Study Design Prospective cohort study. Background Optimal management of patients with low back pain (LBP) relies on accurate prognosis of future clinical outcomes. The STarT Back Screening Tool (SBT), a prognostic index developed and validated in the primary care setting, has 3 scoring measures: SBT overall, psychosocial, and categorical scores. Objective Our study aimed to compare the predictive validity of 3 SBT measures with future pain intensity in patients receiving physical therapy for LBP. Methods Two hundred seven patients with LBP receiving physical therapy completed the SBT at initial (baseline) evaluation and were evaluated 12 weeks later for their pain intensity. Multivariable proportional odds regression was used to evaluate the associations of the various SBT measures with pain intensity at follow-up. Results Adjusting for covariates, all SBT measures were positively and significantly associated with the odds of greater pain intensity at follow-up evaluation (P<.01). Adding SBT psychosocial scores to a covariate-only model improved its predictive accuracy (concordance statistic increase, 0.03; 95% confidence interval: 0.01, 0.09), while improvements in prediction were smaller or negligible with the SBT overall and categorical scores (concordance statistic increase, 0.02 and 0.007, respectively). In mutually adjusted analyses, SBT psychosocial scores added incremental predictive value over SBT overall scores in predicting future pain intensity (P = .03). Conclusion Among the 3 SBT measures, the SBT psychosocial subscale was a significant predictor of future pain intensity in patients with LBP and had comparable, if not better, prognostic significance compared with the SBT overall score. Level of Evidence Prognosis, level 4. J Orthop Sports Phys Ther 2017;47(4):261-267. Epub 3 Mar 2017. doi:10.2519/jospt.2017.7284.

摘要

研究设计

前瞻性队列研究。背景:下腰痛(LBP)患者的最佳管理依赖于对未来临床结局的准确预后。STarT Back筛查工具(SBT)是一种在初级保健环境中开发并验证的预后指标,有3种评分方法:SBT总分、心理社会评分和分类评分。目的:我们的研究旨在比较3种SBT测量方法对接受LBP物理治疗患者未来疼痛强度的预测效度。方法:207例接受物理治疗的LBP患者在初始(基线)评估时完成SBT,并在12周后评估其疼痛强度。采用多变量比例优势回归评估各种SBT测量方法与随访时疼痛强度的关联。结果:在对协变量进行调整后,所有SBT测量方法均与随访评估时疼痛强度增加的几率呈正相关且具有显著意义(P<0.01)。将SBT心理社会评分添加到仅包含协变量的模型中可提高其预测准确性(一致性统计量增加0.03;95%置信区间:0.01,0.09),而SBT总分和分类评分的预测改善较小或可忽略不计(一致性统计量分别增加0.02和0.007)。在相互调整分析中,SBT心理社会评分在预测未来疼痛强度方面比SBT总分增加了增量预测价值(P = 0.03)。结论:在3种SBT测量方法中,SBT心理社会子量表是LBP患者未来疼痛强度的重要预测指标,与SBT总分相比,具有相当的(即使不是更好的)预后意义。证据水平:预后,4级。《骨科与运动物理治疗杂志》2017年;47(4):261 - 267。2017年3月3日在线发表。doi:10.2519/jospt.2017.7284 。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验