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脊柱手术复杂性评分可预测671例连续脊柱手术患者的预后。

Spine surgery complexity score predicts outcomes in 671 consecutive spine surgery patients.

作者信息

Azizkhanian Ida, Alcantara Ryan, Ballinger Zachary, Cho Edward, Dore Silvi, Gatzofilas Stergios, Hossain Raeesa Habiba, Honig Jesse, Matluck Nicole, Ogulnick Jonathan V, Rothbaum Michael, Rybkin Iliya, Smith Harrison, Tung Brian, Kazim Syed Faraz, Miller Ivan, Schmidt Meic H, Cole Chad D, Bowers Christian A

机构信息

School of Medicine, New York Medical College, Valhalla, New York, United States.

Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, United States.

出版信息

Surg Neurol Int. 2021 May 3;12:206. doi: 10.25259/SNI_46_2021. eCollection 2021.

Abstract

BACKGROUND

The spine surgery complexity score (SSCS), previously reported by us, is a simple grading system to predict postoperative complications and hospital length of stay (LOS). This scale is based on the technical difficulty of the spinal procedures being performed.

METHODS

We performed a retrospective chart review to validate SSCS in 671 consecutive patients undergoing spine procedures at a quaternary academic hospital.

RESULTS

The SSCS was predictive of the hospital LOS and postoperative complications (defined by the ClavienDindo score), based on linear regression analysis ( < 0.001 for both).

CONCLUSION

Categorizing procedures according to the SSCS may enable neurosurgeons to assess surgical risk and predict longer LOS courses after spine surgery. Thus, it may prove useful in preoperative patient evaluation/ education and determining a prognosis based on surgical complexity.

摘要

背景

我们之前报道的脊柱手术复杂性评分(SSCS)是一种简单的分级系统,用于预测术后并发症和住院时间(LOS)。该评分基于所进行脊柱手术的技术难度。

方法

我们进行了一项回顾性病历审查,以验证在一家四级学术医院连续接受脊柱手术的671例患者中的SSCS。

结果

基于线性回归分析,SSCS可预测住院时间和术后并发症(由Clavien-Dindo评分定义)(两者均P<0.001)。

结论

根据SSCS对手术进行分类可能使神经外科医生能够评估手术风险,并预测脊柱手术后更长的住院病程。因此,它可能在术前患者评估/教育以及基于手术复杂性确定预后方面证明是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdf5/8168653/6ddd353fcb23/SNI-12-206-g001.jpg

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