Lubelski Daniel, Tanenbaum Joseph E, Purvis Taylor E, Bomberger Thomas T, Goodwin Courtney Rory, Laufer Ilya, Sciubba Daniel M
Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Cleveland Clinic Center for Spine Health, Cleveland Clinic, Cleveland, OH, 44195, USA.
CNS Oncol. 2017 Jul 18;6(3):221-30. doi: 10.2217/cns-2016-0048.
to identify preoperative factors associated with morbidity/mortality, hospital length of stay (LOS), 30-day readmission and operation rates following spinal stereotactic radiosurgery (SRS) for spinal tumors.
The American College of Surgeons National Quality Improvement Program was queried from 2012 to 2014 to identify patients undergoing SRS for spinal tumors. Logistic regression was performed to identify predictors.
2714 patients were identified; 6.8% had major morbidity or mortality, 6.9% were readmitted within 30 days and 4.3% had a subsequent operation within 30 days. Age, BMI and American Society of Anesthesiologist (ASA) class were predictive of LOS. Major morbidity was predicted by age >80, BMI >35, high ASA, pretreatment functional dependence and baseline comorbidities. Predictors of operation within 30 days included preoperative steroid use, renal failure, BMI >35 and if the treatment was nonelective.
4-7% of patients undergoing SRS for spinal tumors have morbidity following the procedure. Factors predictive of morbidity, LOS, and subsequent operation included age, BMI, baseline comorbidities and functional status.
Identification of preoperative patient-specific factors that are predictive of post-treatment outcome will aid in patient selection and patient counseling leading to greater patient satisfaction and hospital efficiency.
确定与脊柱立体定向放射外科手术(SRS)治疗脊柱肿瘤后的发病率/死亡率、住院时间(LOS)、30天再入院率和手术率相关的术前因素。
查询2012年至2014年美国外科医师学会国家质量改进计划,以确定接受脊柱肿瘤SRS治疗的患者。进行逻辑回归以确定预测因素。
共识别出2714例患者;6.8%发生严重并发症或死亡,6.9%在30天内再次入院,4.3%在30天内进行了后续手术。年龄、体重指数(BMI)和美国麻醉医师协会(ASA)分级可预测住院时间。年龄>80岁、BMI>35、ASA分级高、治疗前功能依赖和基线合并症可预测严重并发症。30天内手术的预测因素包括术前使用类固醇、肾衰竭、BMI>35以及治疗是否为非选择性。
接受脊柱肿瘤SRS治疗的患者中有4-7%在术后出现并发症。预测并发症、住院时间和后续手术的因素包括年龄、BMI、基线合并症和功能状态。
识别术前患者特异性因素,这些因素可预测治疗后结果,将有助于患者选择和患者咨询,从而提高患者满意度和医院效率。