急性大血管闭塞机械取栓术后再灌注损伤的危险因素OA
Risk factors for reperfusion injury after mechanical thrombectomy for acute large vessel occlusion
目的 探究急性大血管闭塞(ALVO)患者机械取栓术后再灌注损伤的危险因素,并构建风险预测模型.方法 回顾性分析2022年1月至2025年1月我院收治的161例ALVO患者的临床资料,依据术后是否发生再灌注损伤分为发生组(n=61)和未发生组(n=100).对比2组患者的临床资料,采用LASSO、Logistic回归分析筛选ALVO患者机械取栓术后再灌注损伤发生的危险因素,建立列线图预测模型并验证模型效能.结果 2组患者侧支循环代偿情况、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)、三酰甘油(TG)、总胆固醇(TC)、美国国立卫生研究院卒中量表(NIHSS)评分、Alberta卒中项目早期CT评分(ASPECTS)比较,差异均有统计学意义(P<0.05).LASSO回归分析显示,上述指标均未存在过度拟合情况.Logistic回归分析显示,侧支循环代偿差及LDL、TG、TC、NIHSS评分高均为机械取栓术后再灌注损伤发生的危险因素(OR>1,P<0.05),ASPECTS评分高为机械取栓术后再灌注损伤发生的保护因素(OR=0.518,P<0.05).基于Logistic回归分析结果构建列线图风险预测模型,经Bootstrap法重抽样1 000次对模型进行验证显示,Cox-Snell R2为0.72,Nagelkerke R2为0.529;校准曲线显示,模型具有良好校准度;临床决策曲线表明该预测模型在临床决策中具有较高的净获益率.结论 侧支循环代偿差及术前LDL、TG、TC、NIHSS评分高是ALVO患者机械取栓术后再灌注损伤发生的独立危险因素,术前ASPECTS评分高为保护因素.基于上述因素构建的风险预测列线图模型具有较好的校准度及临床实用性.
Objective To explore the risk factors for reperfusion injury after mechanical thrombectomy in patients with acute large vessel occlusion(ALVO),and to construct a risk prediction model.Methods A retrospective analysis was conducted on the clinical data of 161 patients with ALVO who were admitted to our hospital from January 2022 to January 2025.These patients were divided into the occurrence group(n=61)and the non-occurrence group(n=100)based on whether postoperative reperfusion injury occurred.The clinical data of the patients between the two groups were compared,and LASSO and Logistic regression analyses were used to screen the risk factors for reperfusion injury after mechanical thrombectomy in ALVO patients.A nomogram prediction model was established and the model efficacy was verified.Results There were statistically significant differences in terms of the collateral circulation compensation status,high-density lipoprotein(HDL),low-density lipoprotein(LDL),triacylglycerol(TG),total cholesterol(TC),National Institutes of Health Stroke Scale(NIHSS)score,and Alberta Stroke Program Early CT Score(ASPECTS)between the two groups of patients(P<0.05).LASSO regression analysis showed no evidence of overfitting for the above indicators.Logistic regression analysis showed that poor collateral circulation compensation,high levels of LDL,TG,TC,and NIHSS score were all the risk factors for reperfusion injury after mechanical thrombectomy(OR>1,P<0.05),while a high ASPECTS score was a protective factor for reperfusion injury after mechanical thrombectomy(OR=0.518,P<0.05).Based on the results of Logistic regression analysis,a nomogram risk prediction model was constructed.The model was verified by Bootstrap method with 1000 resampling iterations,which yielded a Cox-Snell R2 of 0.72,and a Nagelkerke R2 of 0.529.The calibration curve showed that the model had good calibration;the clinical decision curve indicated that this prediction model had a high net benefit rate in clinical decision-making.Conclusion The poor collateral circulation compensation,high levels of LDL,TG and TC,and high NIHSS score before surgery are the independent risk factors for reperfusion injury after mechanical thrombectomy in ALVO patients,while the preoperative ASPECTS score is a protective factor.The risk prediction nomogram model constructed based on these factors has certain calibration and clinical practicability.
许时来;张茜;戴意嘉;邓海霞;张占伟
湖南中医药大学第一附属医院神经外科ICU,湖南 长沙 410007湖南中医药大学第一附属医院神经外科ICU,湖南 长沙 410007湖南中医药大学第一附属医院神经外科ICU,湖南 长沙 410007湖南中医药大学第一附属医院神经外科ICU,湖南 长沙 410007湖南中医药大学第一附属医院神经外科ICU,湖南 长沙 410007
医药卫生
急性大血管闭塞机械取栓再灌注损伤危险因素列线图模型预测价值
acute large vessel occlusionmechanical thrombectomyreperfusion injuryrisk factorsnomogram modelpredictive value
《局解手术学杂志》 2026 (9)
768-773,6
湖南省自然科学基金(2025JJ80982)
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