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利用不同的患者特征模型预测急性腰痛的结局。

Predicting outcome in acute low back pain using different models of patient profiling.

机构信息

School of Health Sciences, The University of Notre Dame Australia, 19 Mount St Fremantle, WA 6959, Australia.

出版信息

Spine (Phila Pa 1976). 2009 Aug 15;34(18):1970-5. doi: 10.1097/BRS.0b013e3181afeab7.

Abstract

STUDY DESIGN

Prospective observational study of prognostic indicators, using data from a randomized, controlled trial of physiotherapy care of acute low back pain (ALBP) with follow-up at 6 weeks, 3 months, and 6 months.

OBJECTIVE

To evaluate which patient profile offers the most useful guide to long-term outcome in ALBP.

SUMMARY OF BACKGROUND DATA

The evidence used to inform prognostic decision-making is derived largely from studies where baseline data are used to predict future status. Clinicians often see patients on multiple occasions so may profile patients in a variety of ways. It is worth considering if better prognostic decisions can be made from alternative profiles.

METHODS

Clinical, psychological, and demographic data were collected from a sample of 54 ALBP patients. Three clinical profiles were developed from information collected at baseline, information collected at 6 weeks, and the change in status between these 2 time points. A series of regression models were used to determine the independent and relative contributions of these profiles to the prediction of chronic pain and disability.

RESULTS

The baseline profile predicted long-term pain only. The 6-week profile predicted both long-term pain and disability. The change profile only predicted long-term disability (P < 0.01). When predicting long-term pain, after the baseline profile had been added to the model, the 6-week profile did not add significantly when forced in at the second step (P > 0.05). A similar result was obtained when the order of entry was reversed. When predicting long-term disability, after the 6-week profile was entered at the first step, the change profile was not significant when forced in at the second step. However, when the change profile was entered at the first step and the 6-week clinical profile was forced in at the second step, a significant contribution of the 6-week profile was found.

CONCLUSION

The profile derived from information collected at 6 weeks provided the best guide to long-term pain and disability. The baseline profile and change in status offered less predictive value.

摘要

研究设计

前瞻性观察研究预后指标,使用来自物理治疗急性腰痛(ALBP)的随机对照试验的数据,在 6 周、3 个月和 6 个月时进行随访。

研究目的

评估哪些患者特征能为 ALBP 的长期结果提供最有用的指导。

背景资料总结

用于指导预后决策的证据主要来自于基线数据用于预测未来状况的研究。临床医生经常在多次就诊时看到患者,因此可能会以各种方式对患者进行评估。值得考虑的是,是否可以从替代评估中做出更好的预后决策。

方法

从 54 名 ALBP 患者的样本中收集了临床、心理和人口统计学数据。从基线收集的信息、6 周时收集的信息以及这两个时间点之间的状态变化中,开发了三个临床评估。使用一系列回归模型来确定这些评估对慢性疼痛和残疾预测的独立和相对贡献。

结果

基线评估仅预测长期疼痛。6 周评估预测了长期疼痛和残疾。变化评估仅预测长期残疾(P < 0.01)。当预测长期疼痛时,在基线评估添加到模型后,6 周评估在第二步强制加入时没有显著增加(P > 0.05)。当进入顺序颠倒时,得到了类似的结果。当预测长期残疾时,在第一步输入 6 周评估后,在第二步强制输入变化评估时,变化评估没有显著意义。然而,当变化评估首先输入,并且 6 周临床评估在第二步强制输入时,发现 6 周评估具有显著的贡献。

结论

从 6 周收集的信息中得出的评估为长期疼痛和残疾提供了最佳指导。基线评估和状态变化提供的预测价值较低。

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