Tan Celia Ia Choo, Liaw Jennifer Suet Ching, Jiang Bo, Pothiawala Sohil Equbal, Li Huihua, Leong Mark Kwok Fai
Group Allied Health, Singapore Health Services Department of Physiotherapy, Singapore General Hospital Department of Emergency Medicine, Singapore General Hospital Health Services Research Unit, Singapore General Hospital, Singapore.
Medicine (Baltimore). 2018 Jun;97(26):e11247. doi: 10.1097/MD.0000000000011247.
Low back pain (LBP) is a common complaint among patients presenting to emergency department (ED) in Singapore. The STarT Back Screening Tool (SBT) was recently developed and validated for triage of LBP patients in primary care settings. This study aimed to investigate whether the SBT could provide prognostic information for long-term outcomes of acute LBP patients visiting the ED, who might benefit from appropriate and timely management at an earlier stage.Data were collected in a prospective observational cohort study from 177 patients who consulted emergency physicians for acute LBP and completed 6-month follow-up. Patients were administered the SBT and assessed at baseline. Follow-up assessments were conducted at 6 weeks and 6 months.A multiple linear regression model incorporating SBT total score, age, employment status, LBP history, and 6-week pain score was constructed to predict 6-month pain score. In the model, SBT total score and 6-week pain score were significantly associated with 6-month pain score (P < .05) with respective coefficients of 0.125 and 0.500. The model explained 40.1% of the variance for 6-month pain score.This study demonstrated that the multiple linear regression model showed predictive performance in determining long-term outcomes for acute LBP patients presenting to the ED.
下背痛(LBP)是新加坡急诊科患者的常见主诉。STarT Back筛查工具(SBT)最近被开发并验证可用于基层医疗环境中LBP患者的分诊。本研究旨在调查SBT是否可为就诊于急诊科的急性LBP患者的长期预后提供预后信息,这些患者可能会从早期适当且及时的管理中受益。
在一项前瞻性观察性队列研究中,收集了177名因急性LBP咨询急诊科医生并完成6个月随访的患者的数据。患者接受了SBT评估并在基线时进行了评估。在6周和6个月时进行了随访评估。
构建了一个包含SBT总分、年龄、就业状况、LBP病史和6周疼痛评分的多元线性回归模型,以预测6个月时的疼痛评分。在该模型中,SBT总分和6周疼痛评分与6个月疼痛评分显著相关(P <.05),各自的系数分别为0.125和0.500。该模型解释了6个月疼痛评分方差的40.1%。
本研究表明,多元线性回归模型在确定就诊于急诊科的急性LBP患者的长期预后方面具有预测性能。