Filipov Alexandra, Andermann Martin, Lepski Guilherme, Arévalo Analía, Hilgenfeld Tim, Schönenberger Silvia, Gumbinger Christoph, Möhlenbruch Markus, Ringleb Peter Arthur, Jesser Jessica
Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Department of Experimental Surgery, Medical School, University of São Paulo, São Paulo, Brazil.
Neurol Res Pract. 2025 Jun 10;7(1):39. doi: 10.1186/s42466-025-00393-0.
Admission glycemia has emerged as an important outcome predictor in the context of mechanical thrombectomy (MT) for large vessel occlusions (LVO) in ischemic stroke. However, a clinically relevant threshold of glucose levels to identify patients at risk for poor functional outcome has yet to be established.
We conducted a retrospective, monocentric, consecutive registry-based analysis of patients who underwent MT for anterior circulation LVO. Good outcome was defined as functional independence after 90 days (90d mRS < 3) or no deterioration from premorbid mRS. We performed a multiple logistic regression analysis to assess the association between admission glucose levels and functional outcome, including for well-established outcome predictors, i.e. age, NIHSS, Alberta Stroke Program Early CT Score (ASPECTS), time to reperfusion, unsuccessful recanalization, presence of bleeding, and diabetes. In addition, we conducted a receiver operating characteristic (ROC) analysis to determine the optimal admission glucose threshold that best discriminates patients at risk for poor outcome, maximizing sensitivity and specificity.
We analyzed 509 patients (mean age = 74.3 ± 12.6 years, median previous mRS = 1.5, 48% male). 194 patients (38.1%) had good outcome and 315 (61.9%) had poor outcome. According to the logistic regression admission glucose (p = 0.012, OR 1.009 95% CI [1.002 1.016]) contributed to predicting poor outcome, while known diabetes did not show a significant contribution. The ROC analysis revealed an admission glucose of 117 mg/dL (59.7% sensitivity; 58% specificity) to be the optimal cut-off value to discriminate patients at risk for poor outcome with an OR of 2.3.
Admission hyperglycemia is an independent predictor of poor outcome after MT for LVO in the anterior circulation. We hypothesize, that optimal glucose values in patients undergoing MT will likely be in the low normoglycemic range. Prospective controlled studies with targeted glucose values will be needed for validation.
在缺血性中风大血管闭塞(LVO)的机械取栓术(MT)中,入院时血糖已成为重要的预后预测指标。然而,尚未确定用于识别功能预后不良风险患者的临床相关血糖水平阈值。
我们对接受前循环LVO的MT患者进行了一项基于回顾性、单中心、连续登记的分析。良好预后定义为90天后功能独立(90天改良Rankin量表[mRS]<3)或与病前mRS相比无恶化。我们进行了多因素逻辑回归分析,以评估入院血糖水平与功能预后之间的关联,包括已确定的预后预测因素,即年龄、美国国立卫生研究院卒中量表(NIHSS)、阿尔伯塔卒中项目早期CT评分(ASPECTS)、再灌注时间、再通失败、出血情况和糖尿病。此外,我们进行了受试者工作特征(ROC)分析,以确定最佳入院血糖阈值,该阈值能最佳区分预后不良风险患者,同时最大化敏感性和特异性。
我们分析了509例患者(平均年龄=74.3±12.6岁,病前mRS中位数=1.5,48%为男性)。194例患者(38.1%)预后良好,315例(61.9%)预后不良。根据逻辑回归分析,入院血糖(p=0.012,比值比[OR]1.009,95%置信区间[1.002,1.016])有助于预测预后不良,而已知糖尿病未显示出显著影响。ROC分析显示,入院血糖117mg/dL(敏感性59.7%;特异性58%)是区分预后不良风险患者的最佳截断值,OR为2.3。
入院时高血糖是前循环LVO患者MT后预后不良的独立预测因素。我们推测,接受MT治疗的患者的最佳血糖值可能处于正常血糖低值范围。需要进行有针对性血糖值的前瞻性对照研究以进行验证。