Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
The HEPIUS Innovation Lab, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Neurosurgery. 2023 Aug 1;93(2):462-472. doi: 10.1227/neu.0000000000002441. Epub 2023 Mar 15.
Patients undergoing surgical procedures for spinal tumors are vulnerable to major adverse events (AEs) and death in the postoperative period. Shared decision making and preoperative optimization of outcomes require accurate risk estimation.
To develop and validate a risk index to predict short-term major AEs after spinal tumor surgery.
Prospectively collected data from multiple medical centers affiliated with the American College of Surgeons National Surgical Quality Improvement Program from 2006 to 2020 were reviewed. Multiple logistic regression was used to assess sociodemographic, tumor-related, and surgery-related factors in the derivation cohort. The spinal tumor surgery risk index (STSRI) was built based on the resulting scores. The STSRI was internally validated using a subgroup of patients from the American College of Surgeons National Surgical Quality Improvement Program database and externally validated using a cohort from a single tertiary center.
In total, 14 982 operations were reviewed and 4556 (16.5%) major AEs occurred within 30 days after surgery, including 209 (4.5%) deaths. 22 factors were independently associated with major AEs or death and were included in the STSRI. Using the internal and external validation cohorts, the STSRI produced an area under the curve of 0.86 and 0.82, sensitivity of 80.1% and 79.7%, and specificity of 74.3% and 73.7%, respectively. The STSRI, which is freely available, outperformed the modified frailty indices, the American Society of Anesthesiologists classification, and the American College of Surgeons risk calculator.
In patients undergoing surgery for spinal tumors, the STSRI showed the highest predictive accuracy for major postoperative AEs and death compared with other current risk predictors.
接受脊柱肿瘤手术的患者在术后期间易发生重大不良事件(AEs)和死亡。共同决策和术前优化结果需要准确的风险评估。
开发和验证一种预测脊柱肿瘤手术后短期重大不良事件的风险指数。
回顾了 2006 年至 2020 年期间美国外科医师学会国家外科质量改进计划附属的多个医疗中心的前瞻性收集的数据。多变量逻辑回归用于评估推导队列中的社会人口统计学、肿瘤相关和手术相关因素。基于得出的分数构建脊柱肿瘤手术风险指数(STSRI)。STSRI 在内科医生学会国家外科质量改进计划数据库的患者亚组中进行内部验证,并在单一三级中心的队列中进行外部验证。
共回顾了 14982 例手术,4556 例(16.5%)重大不良事件发生在手术后 30 天内,包括 209 例(4.5%)死亡。22 个因素与重大 AEs 或死亡独立相关,并被纳入 STSRI。使用内部和外部验证队列,STSRI 的曲线下面积分别为 0.86 和 0.82,敏感性分别为 80.1%和 79.7%,特异性分别为 74.3%和 73.7%。STSRI 可免费获得,其预测准确性高于改良脆弱指数、美国麻醉医师协会分类和美国外科医师学会风险计算器。
在接受脊柱肿瘤手术的患者中,STSRI 与其他当前风险预测因子相比,对重大术后 AEs 和死亡的预测准确性最高。