Department of Neurology, Neurosciences Institute, Atrium Health, 1000 Blythe Blvd, Charlotte, NC 28203, United States, 734.883.7844.
Information and Analytics Services, Atrium Health, Charlotte, NC, USA, 301.910.5966.
J Stroke Cerebrovasc Dis. 2022 Aug;31(8):106548. doi: 10.1016/j.jstrokecerebrovasdis.2022.106548. Epub 2022 May 11.
Patients presenting with large ischemic core volumes (LICVs) on computed tomography perfusion (CTP) are at high risk for poor functional outcomes. We sought to identify predictors of outcome in patients with an internal carotid artery (ICA) or middle cerebral artery (MCA) occlusion and LICV.
A large healthcare system's prospectively collected code stroke registry was utilized for this retrospective analysis of patients presenting within 6 hours with at least 50 ml of CTP reduced relative cerebral blood flow (CBF) < 30%. A multivariable logistic regression model was constructed to identify independent predictors (p < 0.05) of poor discharge outcome (modified Rankin scale score 4-6).
Over a 38-month period, we identified 104 patients meeting inclusion criteria, with a mean age of 65.4 ± 16.2 years, median presenting National Institutes of Health Stroke Scale score 20 (IQR 16-24), median ischemic core volume (CBF < 30%) 82 ml (IQR 61-118), and median mismatch volume 80 ml (IQR 56-134). Seventy-five patients (72.1%) had a discharge modified Rankin scale score of 4-6. Sixty-six of 104 (63.5%) patients were treated with endovascular thrombectomy (EVT). In the multivariable regression model, EVT (OR 0.303; 95% CI 0.080-0.985; p = 0.049) and lower blood glucose (per 1-point increase, OR 1.014; 95% CI 1.003-1.030; p = 0.030) were independently protective against poor discharge outcome.
EVT is independently associated with a reduced risk of poor functional outcome in patients presenting within 6 hours with ICA or MCA occlusions and LICV.
在计算机断层灌注(CTP)上显示大缺血核心体积(LICV)的患者发生不良功能结局的风险较高。我们试图确定颈内动脉(ICA)或大脑中动脉(MCA)闭塞和 LICV 患者的预后预测因素。
利用大型医疗保健系统前瞻性收集的代码卒中登记处,对在 6 小时内至少有 50 毫升 CTP 显示相对脑血流(CBF)<30%减少且至少有 50 毫升 CTP 显示相对脑血流(CBF)<30%减少的患者进行回顾性分析。构建多变量逻辑回归模型,以确定不良出院结局(改良 Rankin 量表评分 4-6)的独立预测因素(p<0.05)。
在 38 个月的时间里,我们确定了 104 名符合纳入标准的患者,平均年龄为 65.4±16.2 岁,中位 NIHSS 评分 20(IQR 16-24),中位缺血核心体积(CBF<30%)82ml(IQR 61-118),中位不匹配体积 80ml(IQR 56-134)。75 名患者(72.1%)出院时改良 Rankin 量表评分为 4-6。104 名患者中有 66 名(63.5%)接受了血管内血栓切除术(EVT)治疗。在多变量回归模型中,EVT(OR 0.303;95%CI 0.080-0.985;p=0.049)和较低的血糖(每增加 1 个点,OR 1.014;95%CI 1.003-1.030;p=0.030)与不良出院结局独立相关。
在发病 6 小时内接受 ICA 或 MCA 闭塞和 LICV 治疗的患者中,EVT 与降低不良功能结局的风险独立相关。