Cheng XiaoQing, Cai Wu, Li ChuYan, Shen Xi, Li JiaNan, Huang LiJun, Tang JinJing, Pang HuiMin, Luo BaiYan, Liu Ya, Chen Qian, Xiao Lulu, Zhu WuSheng, Cao ZeHong, Liu XiaoYu, Zhang LongJiang, Yin XinDao, Zhang ZhiQiang, Shi Feng, Xing Wei, Lu GuangMing
Department of Medical Imaging, Nanjing Jinling Hospital Nanjing University School of Medicine Nanjing Jiangsu 210002 China.
Department of Radiology The Second Affiliated Hospital of Soochow University Suzhou Jiangsu 215004 China.
J Am Heart Assoc. 2025 Jun 17;14(12):e039790. doi: 10.1161/JAHA.124.039790. Epub 2025 Jun 16.
Brain frailty is characterized by imaging biomarkers of chronic cerebrovascular injury. Whether brain frailty improves the prediction of acute ischemic stroke complications and prognosis requires further study.
This multicenter, retrospective study included patients with acute ischemic stroke due to large-vessel occlusion in the anterior circulation. All patients underwent magnetic resonance imaging within 7 days of stroke onset, measuring subcortical and cortical atrophy and white matter hyperintensity as indicators of brain frailty. Multivariable logistic regression analyses and receiver operating characteristic curve analyses were used to assess the association and predictive value of brain frailty with complications and unfavorable clinical outcome (90-day modified Rankin Scale score, 3-6).
The study included 1090 patients with a median age of 64 (interquartile range, 55-73) years and a median National Institutes of Health Stroke Scale score of 9 (interquartile range, 4.5-15). Multivariable logistic regression analysis showed that independent risk factors for the unfavorable clinical outcome included: National Institutes of Health Stroke Scale score (odds ratio [OR], 1.09 [95% CI, 1.06-1.11]), blood glucose (OR, 1.18 [95% CI, 1.11-1.26]), infarct volume (OR, 1.43 [95% CI, 1.29-1.60]), subcortical atrophy (OR, 1.16 [95% CI, 1.10-1.23]), severe cortical atrophy (OR, 2.31 [95% CI, 1.04-5.15]), and severe white matter hyperintensity (OR, 3.63 [95% CI, 1.91-6.89]). However, brain frailty was not significantly associated with acute ischemic stroke complications (malignant cerebral edema, parenchymal hemorrhage). Including brain frailty indicators in the model significantly improved its unfavorable clinical outcome predictive power (area under the receiver operating characteristic curve increased from 0.762 to 0.822; <0.001). The results remained stable in subgroup analyses across treatment modalities.
Brain frailty was significantly associated with the unfavorable clinical outcome. Brain frailty indicators contributed to the predictive efficacy, regardless of treatment modality.
脑衰弱以慢性脑血管损伤的影像学生物标志物为特征。脑衰弱是否能改善急性缺血性卒中并发症及预后的预测尚需进一步研究。
这项多中心回顾性研究纳入了前循环大血管闭塞所致急性缺血性卒中患者。所有患者在卒中发病7天内接受磁共振成像检查,测量皮质下和皮质萎缩以及白质高信号作为脑衰弱指标。采用多变量逻辑回归分析和受试者工作特征曲线分析来评估脑衰弱与并发症及不良临床结局(90天改良Rankin量表评分,3 - 6分)之间的关联及预测价值。
该研究纳入了1090例患者,中位年龄为64岁(四分位间距,55 - 73岁),美国国立卫生研究院卒中量表评分中位数为9分(四分位间距,4.5 - 15分)。多变量逻辑回归分析显示,不良临床结局的独立危险因素包括:美国国立卫生研究院卒中量表评分(比值比[OR],1.09[95%置信区间,1.06 - 1.11])、血糖(OR,1.18[95%置信区间,1.11 - 1.26])、梗死体积(OR,1.43[95%置信区间,1.29 - 1.60])、皮质下萎缩(OR,1.16[95%置信区间,1.10 - 1.23])、重度皮质萎缩(OR,2.31[95%置信区间,1.04 - 5.15])以及重度白质高信号(OR,3.63[95%置信区间,1.91 - 6.89])。然而,脑衰弱与急性缺血性卒中并发症(恶性脑水肿、实质内出血)无显著关联。将脑衰弱指标纳入模型显著提高了其对不良临床结局的预测能力(受试者工作特征曲线下面积从0.762增至0.822;P<0.001)。在不同治疗方式的亚组分析中结果保持稳定。
脑衰弱与不良临床结局显著相关。无论治疗方式如何,脑衰弱指标均有助于提高预测效能。