Can assessment of human assumed central sensitisation improve the predictive accuracy of the STarT Back screening tool in acute low back pain?

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Wei-Ju Chang , Peter Humburg , Luke C. Jenkins , Valentina Buscemi , M.E. Gonzalez-Alvarez , James H. McAuley , Matthew B. Liston , Siobhan M. Schabrun
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Abstract

Background

The STarT Back Screening Tool (SBT) is recommended to provide risk-stratified care in low back pain (LBP), yet its predictive value is moderate for disability and low for pain severity. Assessment of human assumed central sensitisation (HACS) in conjunction with the SBT may improve its predictive accuracy.

Objectives

To examine whether assessment of HACS in acute LBP improves the predictive accuracy of the SBT for LBP recovery at six months in people with acute non-specific LBP.

Design

A prospective longitudinal study.

Method

Data were drawn from the UPWaRD study. One hundred and twenty people with acute non-specific LBP were recruited from the community. Baseline measures included SBT risk status, nociceptive flexor withdrawal reflex, pressure and heat pain thresholds and conditioned pain modulation. Primary outcome was the presence of LBP (pain numeric rating scale ≥1 and Roland Morris Disability Questionnaire score ≥3) at six-month follow-up. Regression coefficients were penalised using the least absolute shrinkage and selection operator technique to select predictor variables. Internal validation was performed using ten-fold cross-validation.

Results/findings

SBT risk status alone did not predict the presence of LBP at six months (area under receiver operating characteristic curve [AUC] = 0.58). Adding measures of HACS to the SBT did not improve discrimination for whether LBP was present at six months (AUC = 0.59).

Conclusions

This study confirmed the suboptimal predictive accuracy of the SBT, administered during acute LBP, for LBP recovery at six months. Assessment of HACS in acute LBP does not improve the predictive accuracy of the SBT.

对人体假定中枢敏感性的评估能否提高 STarT Back 筛选工具对急性腰背痛的预测准确性?
背景STarT背部筛查工具(SBT)被推荐用于为腰背痛(LBP)患者提供风险分级护理,但它对残疾的预测价值一般,对疼痛严重程度的预测价值较低。目标研究对急性腰背痛患者进行 HACS 评估是否能提高 SBT 对急性非特异性腰背痛患者六个月后腰背痛恢复情况的预测准确性。方法数据来自 UPWaRD 研究。从社区招募了120名急性非特异性腰痛患者。基线测量包括SBT风险状态、痛觉屈肌退缩反射、压力和热痛阈值以及条件性疼痛调节。主要结果是随访六个月时是否存在枸杞痛(疼痛数字评分量表≥1,罗兰-莫里斯残疾问卷评分≥3)。使用最小绝对收缩和选择算子技术对回归系数进行惩罚,以选择预测变量。采用十倍交叉验证法进行内部验证。结果/发现仅凭SBT风险状况并不能预测6个月后是否出现LBP(接收器操作特征曲线下面积[AUC] = 0.58)。结论这项研究证实,在急性 LBP 时进行的 SBT 对 6 个月后 LBP 恢复的预测准确性并不理想。对急性枸杞痛进行 HACS 评估并不能提高 SBT 的预测准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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