Kim Helen, Abla Adib A, Nelson Jeffrey, McCulloch Charles E, Bervini David, Morgan Michael K, Stapleton Christopher, Walcott Brian P, Ogilvy Christopher S, Spetzler Robert F, Lawton Michael T
*Department of Anesthesia and Perioperative Care, ‡Department of Epidemiology and Biostatistics, §Center for Cerebrovascular Research, and ¶Department of Neurological Surgery, University of California, San Francisco, California; ‖Department of Neurological Surgery, Macquarie University, Sydney, Australia; #Department of Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts; **Division of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona.
Neurosurgery. 2015 Jan;76(1):25-31; discussion 31-2; quiz 32-3. doi: 10.1227/NEU.0000000000000556.
The supplementary grading system for brain arteriovenous malformations (AVMs) was introduced in 2010 as a tool for improving preoperative risk prediction and selecting surgical patients.
To demonstrate in this multicenter validation study that supplemented Spetzler-Martin (SM-Supp) grades have greater predictive accuracy than Spetzler-Martin (SM) grades alone.
Data collected from 1009 AVM patients who underwent AVM resection were used to compare the predictive powers of SM and SM-Supp grades. Patients included the original 300 University of California, San Francisco patients plus those treated thereafter (n = 117) and an additional 592 patients from 3 other centers.
In the combined cohort, the SM-Supp system performed better than SM system alone: area under the receiver-operating characteristics curve (AUROC) = 0.75 (95% confidence interval, 0.71-0.78) for SM-Supp and AUROC = 0.69 (95% confidence interval, 0.65-0.73) for SM (P < .001). Stratified analysis fitting models within 3 different follow-up groupings (<6 months, 6 months-2 years, and >2 years) demonstrated that the SM-Supp system performed better than SM system for both medium (AUROC = 0.71 vs 0.62; P = .003) and long (AUROC = 0.69 vs 0.58; P = .001) follow-up. Patients with SM-Supp grades ≤6 had acceptably low surgical risks (0%-24%), with a significant increase in risk for grades >6 (39%-63%).
This study validates the predictive accuracy of the SM-Supp system in a multicenter cohort. An SM-Supp grade of 6 is a cutoff or boundary for AVM operability. Supplemented grading is currently the best method of estimating neurological outcomes after AVM surgery, and we recommend it as a starting point in the evaluation of AVM operability.
脑动静脉畸形(AVM)补充分级系统于2010年引入,作为改善术前风险预测和选择手术患者的工具。
在这项多中心验证研究中证明,补充的斯佩茨勒 - 马丁(SM - Supp)分级比单独的斯佩茨勒 - 马丁(SM)分级具有更高的预测准确性。
收集1009例行AVM切除术的AVM患者的数据,以比较SM和SM - Supp分级的预测能力。患者包括最初的300名加利福尼亚大学旧金山分校患者以及其后治疗的患者(n = 117)和来自其他3个中心的另外592名患者。
在联合队列中,SM - Supp系统的表现优于单独的SM系统:SM - Supp的受试者操作特征曲线下面积(AUROC)= 0.75(95%置信区间,0.71 - 0.78),SM的AUROC = 0.69(95%置信区间,0.65 - 0.73)(P <.001)。在3种不同的随访分组(<6个月、6个月至2年和> 2年)内进行分层分析拟合模型表明,对于中期(AUROC = 0.71对0.62;P = .003)和长期(AUROC = 0.69对0.58;P = .001)随访,SM - Supp系统的表现均优于SM系统。SM - Supp分级≤6的患者手术风险低至可接受水平(0% - 24%),分级> 6时风险显著增加(39% - 63%)。
本研究在多中心队列中验证了SM - Supp系统的预测准确性。SM - Supp分级为6是AVM可手术性的临界值或界限。补充分级是目前评估AVM手术后神经功能结局的最佳方法,我们建议将其作为评估AVM可手术性的起点。