ArticleHeliyon2023
Post-thrombolysis early neurological deterioration occurs with or without hemorrhagic transformation in acute cerebral infarction: risk factors, prediction model and prognosis.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for early neurological deterioration in patients with acute ischemic stroke: a systematic review and critical appraisal.Frontiers in neurologyPooled it
- Article
- Factors Influencing Anxiety and Depression Symptoms in Patients With Acute Ischaemic Stroke and the Development and Validation of a Risk Prediction Model.Actas espanolas de psiquiatria · 2026Article
- A new nomogram for predicting the risk of ischemic early neurological deterioration after intravenous thrombolysis in acute ischemic stroke: a multicenter retrospective study.BMC neurology · 2026Article
- Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers.Brain and behavior · 2025Article
- A clinical-radiomics nomogram to predict early neurological deterioration in patients with stroke undergoing intravenous thrombolysis.Journal of the Chinese Medical Association : JCMA · 2025Article
- Early identification and integrated nursing management of post-thrombolysis hemorrhagic transformation in acute ischemic stroke: a comprehensive review.Frontiers in neurology · 2025Review
- A Nomogram Incorporating Intracranial Atherosclerosis Score for Predicting Early Neurological Deterioration in Minor Stroke Patients With Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Influencing Factors (History of Alcohol Consumption) and Construction of a Nomogram Prediction Model for In-Hospital Gastrointestinal Bleeding Secondary to Acute Cerebral Hemorrhage in a Certain Hospital.Risk management and healthcare policy · 2025Article
- Early Neurological Deterioration following acute stroke: association with reperfusion therapies and National Institutes Of Health Stroke Scale score.Frontiers in stroke · 2025Article
- Predictive Value of the Modified Comprehensive Immunoinflammatory Indices for Hemorrhagic Transformation in Ischemic Stroke Patients Undergoing Thrombolysis: A Retrospective Study.International journal of general medicine · 2025Article
- Early heart rate predicts 3-month outcomes in acute ischemic stroke patients receiving intravenous thrombolysis: a machine learning approach.Frontiers in neurology · 2025Article
- Evaluating the interaction between hemorrhagic transformation and cerebral edema on functional outcome after ischemic stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024Article
- Optimizing early neurological deterioration prediction in acute ischemic stroke patients following intravenous thrombolysis: a LASSO regression model approach.Frontiers in neuroscience · 2024Article
- Machine learning-based prediction of early neurological deterioration after intravenous thrombolysis for stroke: insights from a large multicenter study.Frontiers in neurology · 2024Article
- Predictive value of glycoprotein DKK3 for early neurological deterioration after ischemic stroke.Clinics (Sao Paulo, Brazil) · 2024Article
- Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Risk factors for early neurological deterioration in patients with acute ischaemic stroke and assessment of short-term prognosis.Frontiers in neurologyArticle
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3 authors.
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Abstract
Objectives: Early neurological deterioration (END) after ischemic stroke is a severe clinical event and can be caused by hemorrhagic and ischemic injury. We studied the difference between the risk factors of END occurs with or without hemorrhagic transformation after intravenous thrombolysis. Materials and methods: Consecutive cerebral infarction patients who underwent intravenous thrombolysis from 2017 to 2020 in our hospital were retrospectively recruited. END was defined as a ≥2 points increase on 24-h National Institutes of Health Stroke Scale (NIHSS) score after therapy compared with the best neurological status after thrombolysis and divided into two types based on the computed tomography (CT): symptomatic intracranial hemorrhage (ENDh) and non-hemorrhagic factors (ENDn). Potential risk factors of ENDh and ENDn were assessed by multiple logistic regression and applied to establish the prediction model. Results: A total of 195 patients were included. In multivariate analysis, the previous history of cerebral infarction (odds ratio [OR],15.19; 95% confidence interval [CI],1.43-161.17; P = 0.025), previous history of atrial fibrillation (OR,8.43; 95%CI,1.09-65.44; P = 0.043), higher baseline NIHSS score (OR,1.19; 95%CI,1.03-1.39; P = 0.022) and higher alanine transferase level (OR,1.05; 95%CI, 1.01-1.10; P = 0.016) were independently associated with ENDh. While higher systolic blood pressure (OR,1.03; 95%CI,1.01-1.05; P = 0.004), higher baseline NIHSS score (OR,1.13; 95%CI,2.86-27.43; P < 0.000) and large artery occlusion (OR,8.85, 95%CI,2.86-27.43; P < 0.000) were independent risk factors of ENDn. The prediction model showed good specificity and sensitivity in predicting the risk of ENDn. Conclusions: There are differences between the major contributors to ENDh and ENDn, while a severe stroke can increase the occurrence of both sides.
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