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脊柱手术后结局的预测——使用基于瑞典国家质量登记的对话支持系统。

Prediction of outcome after spinal surgery-using The Dialogue Support based on the Swedish national quality register.

机构信息

Futurum Academy for Health and Care, Hus B4, Lanssjukhuset Ryhov, 553 05, Jonkoping, Sweden.

RKC Spine Center, Sodra Fiskartorpsvägen 15H, 114 33, Stockholm, Sweden.

出版信息

Eur Spine J. 2022 Apr;31(4):889-900. doi: 10.1007/s00586-021-07065-y. Epub 2021 Nov 27.

DOI:10.1007/s00586-021-07065-y
PMID:34837113
Abstract

PURPOSE

To evaluate the predictive precision of the Dialogue Support, a tool for additional help in shared decision-making before surgery of the degenerative spine.

METHODS

Data in Swespine (Swedish national quality registry) of patients operated between 2007 and 2019 found the development of prediction algorithms based on logistic regression analyses, where socio-demographic and baseline variables were included. The algorithms were tested in four diagnostic groups: lumbar disc herniation, lumbar spinal stenosis, degenerative disc disease and cervical radiculopathy. By random selection, 80% of the study population was used for the prediction of outcome and then tested against the actual outcome of the remaining 20%. Outcome measures were global assessment of pain (GA), and satisfaction with outcome.

RESULTS

Calibration plots demonstrated a high degree of concordance on a group level. On an individual level, ROC curves showed moderate predictive capacity with AUC (area under the curve) values 0.67-0.68 for global assessment and 0.6-0.67 for satisfaction.

CONCLUSION

The Dialogue Support can serve as an aid to both patient and surgeon when discussing and deciding on surgical treatment of degenerative conditions in the lumbar and cervical spine.

LEVEL OF EVIDENCE

I.

摘要

目的

评估 Dialogue Support 的预测精度,该工具可在退行性脊柱手术前的共同决策中提供额外帮助。

方法

从 Swespine(瑞典国家质量登记处)中检索 2007 年至 2019 年间接受手术的患者数据,基于逻辑回归分析开发预测算法,其中纳入了社会人口统计学和基线变量。在四个诊断组(腰椎间盘突出症、腰椎椎管狭窄症、退行性椎间盘疾病和颈椎病)中测试了这些算法。通过随机选择,80%的研究人群用于预测结果,然后用剩余 20%的实际结果进行测试。结果评估指标为总体疼痛评估(GA)和对结果的满意度。

结果

校准图在组水平上显示出高度的一致性。在个体水平上,ROC 曲线显示出中等的预测能力,GA 的 AUC(曲线下面积)值为 0.67-0.68,对结果的满意度为 0.6-0.67。

结论

Dialogue Support 可作为患者和外科医生在讨论和决定退行性腰椎和颈椎疾病的手术治疗时的辅助工具。

证据水平

I。

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Acta Orthop. 2025 Jul 7;96:512-520. doi: 10.2340/17453674.2025.44251.
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