ArticleNeurocritical care2015
Comparison of 8 scores for predicting symptomatic intracerebral hemorrhage after IV thrombolysis.
Article in Neurocritical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- Meta-analysis of outcomes following intravenous thrombolysis in patients with ischemic stroke on direct oral anticoagulants.BMC neurology · 2023Pooled it
- TURN Score Predicts 24-Hour Cerebral Edema After IV Thrombolysis.Neurocritical care · 2016Trial
- Association of FLAIR Positivity and Worse Outcomes After Intravenous Thrombolysis in Known-Onset Strokes: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2025Review
- Application and risk prediction of thrombolytic therapy in cardio-cerebrovascular diseases: a review.Thrombosis journal · 2023Article
- Development and Validation of Prediction Models for Severe Complications After Acute Ischemic Stroke: A Study Based on the Stroke Registry of Northwestern Germany.Journal of the American Heart Association · 2022Article
- Machine learning prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis: a cross-cultural validation in Caucasian and Han Chinese cohort.Therapeutic advances in neurological disorders · 2022Article
- Development and Validation of a Predictive Model for Spontaneous Hemorrhagic Transformation After Ischemic Stroke.Frontiers in neurology · 2021Article
- Intravenous Thrombolysis in Posterior Circulation Stroke.Frontiers in neurology · 2019Review
- Thinking About the Future: A Review of Prognostic Scales Used in Acute Stroke.Frontiers in neurology · 2019Review
- MRI-Based Predictors of Hemorrhagic Transformation in Patients With Stroke Treated by Intravenous Thrombolysis.Frontiers in neurology · 2019Article
- Predictors for Intracranial Hemorrhage Following Intravenous Thrombolysis in Posterior Circulation Stroke.Translational stroke research · 2018Article
- A Score for Risk of Thrombolysis-Associated Hemorrhage Including Pretreatment with Statins.Frontiers in neurology · 2018Article
- A clinical tool to predict Plasmodium vivax recurrence in Malaysia.BMC infectious diseases · 2017Article
- The hemorrhagic transformation index score: a prediction tool in middle cerebral artery ischemic stroke.BMC neurology · 2017Article
- Cohort-Based Identification of Predictors of Symptomatic Intracerebral Hemorrhage After IV Thrombolysis.Neurocritical care · 2015Article
- TURN Score Predicts 90-day Outcome in Acute Ischemic Stroke Patients After IV Thrombolysis.Neurocritical care · 2015Article
- TURN: A Simple Predictor of Symptomatic Intracerebral Hemorrhage After IV Thrombolysis.Neurocritical care · 2015Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntracerebral hemorrhage is a feared complication of IV thrombolytic (rt-PA) therapy. In recent years, at least 8 clinical scores have been proposed to predict either adverse outcome or symptomatic intracerebral hemorrhage (sICH) in patients undergoing rt-PA therapy. The purpose of this study was to evaluate the ability of these 8 scores to predict sICH in an independent clinical dataset.
methodsClinical data was analyzed from consecutive patients (n = 210) receiving IV rt-PA therapy from January 2009 to December 2013 at Yale-New Haven Hospital. Eight scores were calculated for each patient: Stroke-TPI, DRAGON, SPAN-100, ASTRAL, PRS, HAT, SEDAN, and SITS-ICH. sICH was defined according to the NINDS study criteria. Univariate logistic regression was performed using each score as an independent variable and sICH as the dependent variable. Goodness of fit was tested by Receiver operating characteristic (ROC) analysis and by Hosmer-Lemeshow statistics.
resultssICH occurred in 12 patients (5.71 %) after IV rt-PA treatment. Only 4 scores predicted sICH with good accuracy (ROC area >0.7): DRAGON 0.76 (0.63, 0.89); Stroke-TPI 0.74 (0.61, 0.87); ASTRAL 0.72 (0.59, 0.86); and HAT 0.70 (0.55, 0.85), with odds ratios as follows: Stroke-TPI, 1.91 (1.26, 2.90); HAT, 1.67 (1.06, 2.62); DRAGON, 1.66 (1.21, 2.30); and ASTRAL, 1.10 (1.03, 1.16).
conclusionsThree scores showed good agreement with sICH: DRAGON, Stroke-TPI, and HAT with odds ratios substantially greater than 1. Stroke-TPI and HAT additionally benefited from low computational complexity and therefore performed best overall. Our results demonstrate the utility of clinical scores as predictors of sICH in acute ischemic stroke patients undergoing IV thrombolytic therapy.
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