Sun Haogeng, Li Yue, Xiao Anqi, Li Wanjiang, Xia Chao, You Chao, Ma Lu, Liu Yi, Xia Chunchao
Department of Neurosurgery (H.S., Y. Li, A.X., C.Y., L.M., Y. Liu.), West China Hospital, Sichuan University, Chengdu, China.
Department of Radiology (W.L., Chao Xia, Chunchao Xia), West China Hospital, Sichuan University, Chengdu, China.
Stroke. 2023 Mar;54(3):751-758. doi: 10.1161/STROKEAHA.122.039975. Epub 2023 Feb 7.
Collateral formation from the extracranial carotid artery to ischemic brain tissue determines the clinical success of superficial temporal artery (STA) to middle cerebral artery (MCA) bypass surgery in adult patients with moyamoya disease, but postoperative collateral formation (PCF) after STA-MCA bypass surgery is unpredictable. Accurate preoperative prediction of acceptable PCF could improve patient selection. This study aims to develop a prediction nomogram model for PCF in this patient population.
Adult patients with moyamoya disease undergoing the STA-MCA bypass surgery between January 2013 and December 2020 at a single institution were retrospectively or prospectively enrolled in this observational study. Data including potential clinical and radiological predictors were obtained from hospital records. A nomogram was generated based on a multivariate logistic regression analysis, to identify potential predictors associated with good PCF. The performance of the nomogram was evaluated for discrimination, calibration, and clinical utility.
Data from 243 patients with moyamoya disease who underwent the STA-MCA bypass surgery were analyzed to build the nomogram. After 1-year follow-up, 162 (66.7%) hemispheres had good PCF and 81 (33.3%) had poor PCF. Good PCF is associated with 3 preoperative factors: age at operation, a diameter of donor branch of STA, and the preinfarction period stage. Incorporating these 3 factors, the model achieved a concordance index of 0.88 (95% CI, 0.84-0.92) and had a well-fitted calibration curve and good clinical application value. A cutoff value of 100 was determined to predict good PCF via this nomogram.
The nomogram exhibits high accuracy in predicting good PCF after the STA-MCA bypass surgery in adult patients with moyamoya disease and may allow surgeons to better evaluate preoperatively candidacy for successful bypass surgery.
在患有烟雾病的成年患者中,颅外颈动脉向缺血脑组织的侧支循环形成决定了颞浅动脉(STA)-大脑中动脉(MCA)搭桥手术的临床成功率,但STA-MCA搭桥手术后的术后侧支循环形成(PCF)是不可预测的。术前准确预测可接受的PCF可改善患者选择。本研究旨在为该患者群体开发一种PCF预测列线图模型。
回顾性或前瞻性纳入2013年1月至2020年12月在单一机构接受STA-MCA搭桥手术的成年烟雾病患者。从医院记录中获取包括潜在临床和放射学预测因素的数据。基于多变量逻辑回归分析生成列线图,以识别与良好PCF相关的潜在预测因素。评估列线图在区分、校准和临床效用方面的性能。
分析了243例接受STA-MCA搭桥手术的烟雾病患者的数据以构建列线图。随访1年后,162个(66.7%)半球有良好的PCF,81个(33.3%)有不良的PCF。良好的PCF与3个术前因素相关:手术年龄、STA供体分支直径和梗死前期阶段。纳入这3个因素后,该模型的一致性指数为0.88(95%CI,0.84-0.92),校准曲线拟合良好,具有良好的临床应用价值。通过该列线图确定预测良好PCF的值为100。
该列线图在预测成年烟雾病患者STA-MCA搭桥手术后的良好PCF方面具有较高的准确性,可能使外科医生能够更好地在术前评估成功搭桥手术的候选资格。