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Updated: Jul 16, 2026
Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Which glucose parameter best predicts poor outcome after mechanical thrombectomy for acute large vessel occlusion
Xiandong Li1, Chao Li1, Mingchao Shi1
1Department of Neurology and Neuroscience, The First Hospital of Jilin University, Changchun, Jilin, China.
Background:
Hyperglycaemia is related to adverse outcomes in patients with acute ischaemic stroke (AIS) treated with mechanical thrombectomy (MT).
Aims:
To compare the predictive ability of admission blood glucose (ABG), fasting blood glucose (FBG) and glycated haemoglobin (HbA1c) in patients with acute large vessel occlusion (ALVO) stroke undergoing MT.
Methods:
The study retrospectively analysed the data of 329 consecutive acute stroke patients treated with MT. Multivariate logistic regression analysis was performed to investigate the predictors of poor functional outcome. Receiver operating characteristic (ROC) analysis was performed to identify the predictive ability of ABG, FBG and HbA1c for poor functional independence in patients with ALVO stroke undergoing MT. In addition, subgroup analyses were performed for both diabetic and non-diabetic patients.
Results:
Multiple logistic regression analysis demonstrated that ABG and FBG were independent predictors of 3-month poor functional outcome; however, HbA1c could not predict poor functional outcome. ROC analysis showed that FBG has a higher predictive ability than ABG (areas under the ROC curve (AUC): 0.689 vs 0.624; P = 0.037) and HbA1c (AUC: 0.689 vs 0.541; P < 0.001) for poor function outcome.
Conclusions:
ABG and FBG are independent predictors of poor functional outcome in patients with AIS undergoing MT, and FBG has a higher predictive ability than ABG and HbA1c.
