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Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis

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机构: [1]Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China. [2]Department of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China. [3]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [4]Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
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关键词: Acute ischemic stroke early neurological deterioration intravenous thrombolysis nomogram prediction model

摘要:
A proportion of acute ischemic stroke (AIS) patients suffer from early neurological deterioration (END) within 24 hours following intravenous thrombolysis (IVT), which greatly increases the risk of poor prognosis of these patients. Therefore, we aimed to explore the predictors of early neurological deterioration of ischemic origin (ENDi) in AIS patients after IVT and develop a nomogram prediction model. This study collected 244 AIS patients with post-thrombolysis ENDi as the derivation cohort and 155 patients as the validation cohort. To establish a nomogram prediction model, risk factors were identified by multivariate logistic regression analysis. The results showed that neutrophil to lymphocyte ratio (NLR) (OR 2.616, 95% CI 1.640-4.175, P < 0.001), mean platelet volume (MPV) (OR 3.334, 95% CI 1.351-8.299, P = 0.009), body mass index (BMI) (OR 1.979, 95% CI 1.285-3.048, P = 0.002) and atrial fibrillation (AF) (OR 8.012, 95% CI 1.341-47.873, P = 0.023) were significantly associated with ENDi. The area under the curve of the prediction model constructed from the above four factors was 0.981 (95% CI 0.961-1.000) and the calibration curve was close to the ideal diagonal line. Therefore, this nomogram prediction model exhibited good discrimination and calibration power and might be a reliable and easy-to-use tool to predict post-thrombolysis ENDi in AIS patients.

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出版当年[2022]版:
大类 | 1 区 医学
小类 | 1 区 神经科学 1 区 内分泌学与代谢 2 区 血液学
最新[2023]版:
大类 | 2 区 医学
小类 | 2 区 内分泌学与代谢 2 区 血液学 2 区 神经科学
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出版当年[2021]版:
Q1 ENDOCRINOLOGY & METABOLISM Q1 NEUROSCIENCES Q2 HEMATOLOGY
最新[2023]版:
Q1 ENDOCRINOLOGY & METABOLISM Q1 HEMATOLOGY Q1 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者机构: [1]Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
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通讯机构: [1]Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China. [2]Department of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China. [3]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [4]Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China. [*1]First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning 121002, China. [*2]Xuanwu Hospital, No. 45 Changchun Street, Xicheng District, Beijing 100053, China
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