scholarly journals Correction to: Early Prediction of Malignant Edema After Successful Recanalization in Patients with Acute Ischemic Stroke

2022 ◽  
Author(s):  
Changyi Wang ◽  
Qiange Zhu ◽  
Ting Cui ◽  
Lu Wang ◽  
Tang Yang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Early Prediction

EARLY PREDICTION OF ACUTE ISCHEMIC STROKE OUTCOME BY USING ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS)

2014 ◽  
pp. 168-176
Author(s):  
Vu Xuan Loc Doan ◽  
Thanh Thao Nguyen ◽  
Minh Loi Hoang ◽  
Trong Hao Vo
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Early Prediction ◽  
Stroke Outcome ◽  
Good Outcome ◽  
Poor Outcome

Background and Purpose: The Alberta Stroke Program Early CT Score (ASPECTS) scale semiquantitatively assesses extent and location of ischemic changes within the middle cerebral artery (MCA) territory using a 10-point grading system. ASPECTS measured at baseline using noncontrast computed tomography (CT) scan. The aim of this study was to assess early prediction of clinical outcome after acute ischemic stroke by ASPECTS scale. Methods: The study based on convenience sample which included 82 first-ever acute ischemic stroke patients, admitted to Hue Central Hospital within 72 hours of stroke onset, from October 2013 to October 2014. Ischemic territory changes were defined as parenchymal CT hypoattenuation. We assessed all baseline CT scans, dichotomized ASPECTS at ≤ 7 and >7, defined good outcome (0 to 2) and poor outcome (3 to 6) as modified Rankin Scale (mRS) score at discharge. Univariate analysis and multivariable logistic regression analysis were performed to define the independent predictors for stroke outcome. Results: Mean age was 68.35 ± 13.93 years, proportion of male (51.2%) and female (48.8%) are approximately the same. ASPECTS score > 7 in 57 patients and ≤ 7 in 25 patients. Mean ASPECTS was 7.51 ± 2.25. Mean mRS at discharge was 2.28 ± 1.33. Good outcome (mRS ≤ 2) and poor outcome (mRS > 2) at discharge were 63.4% and 36.6% respectively. There is a negative correlation between ASPECTS and mRS (r = -0.86, p < 0.001). In the univariate analysis, atrial fibrillation, Glasgow Coma Scale (GCS) score at admisison, ASPECT score and infarct volume were significantly associated with stroke outcome. All of aforementioned variables underwent multivariate analysis, but none of them was proven to be an independent predictor of early outcome. Conclusion: In patients with first-ever acute ischemic stroke, ASPECT score which bases on conventional computed tomography scan is not independent predictor for clinical outcome at discharge. Key words: ischemic stroke, ASPECTS, outcome

Early Prediction of Malignant Edema After Successful Recanalization in Patients with Acute Ischemic Stroke

2021 ◽  
Author(s):  
Changyi Wang ◽  
Qiange Zhu ◽  
Ting Cui ◽  
Lu Wang ◽  
Tang Yang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Early Prediction

scholarly journals Early prediction of the 3-month outcome for individual acute ischemic stroke patients who received intravenous thrombolysis using the N2H3 nomogram model

2020 ◽  
Vol 13 ◽  
pp. 175628642095305
Author(s):  
Shan Lv ◽  
Yu Song ◽  
Fu-Liang Zhang ◽  
Xiu-Li Yan ◽  
Jie Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Unfavorable Outcome ◽  
Early Prediction ◽  
Training Cohort ◽  
Nihss Score

Background: The aim of this study was to establish a nomogram model for individualized early prediction of the 3-month prognosis in patients with acute ischemic stroke (AIS) who were treated with intravenous recombinant tissue plasminogen activator (rt-PA) thrombolysis. Methods: A total of 691 patients were included in this study; 564 patients were included in the training cohort, while 127 patients were included in the test cohort. The main outcome measure was a 3-month unfavorable outcome (modified Rankin Scale 3–6). To construct the nomogram model, stepwise logistic regression analysis was applied to select the significant predictors of the outcome. The discriminative performance of the model was assessed by calculating the area under the receiver operating characteristic curve (AUC-ROC). A decision curve analysis was used to evaluate prognostic value of the model. Results: The initial National Institutes of Health Stroke Scale [NIHSS, odds ratio (OR), 1.35; 95% confidence interval (CI), 1.28–1.44; p < 0.001], delta NIHSS (changes in the NIHSS score from baseline to 24 h, OR, 0.75; 95% CI, 0.70–0.79; p < 0.001), hypertension (OR, 2.07; 95% CI, 1.32–3.31; p = 0.002), hyperhomocysteinemia (Hhcy, OR, 2.18; 95% CI, 1.20–4.11; p = 0.013), and the ratio of high-density lipoprotein cholesterol (HDL-C) to low-density lipoprotein cholesterol (LDL-C) (HDL-C/LDL-C, OR, 3.29; 95% CI, 1.00–10.89; p = 0.049) (N2H3) were found to be independent predictors of a 3-month unfavorable outcome from multivariate logistic regression analysis and were incorporated in the N2H3 nomogram model. The AUC-ROC of the training cohort was 0.872 (95% CI, 0.841–0.902), and the AUC-ROC of the test cohort was 0.900 (95% CI, 0.848–0.953). Conclusion: The study presented the N2H3 nomogram model, with initial NIHSS score, delta NIHSS, hypertension, Hhcy, and HDL-C/LDL-C as predictors. It therefore provides an individualized early prediction of the 3-month unfavorable outcome in AIS patients treated with intravenous rt-PA thrombolysis.

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