Literature DB >> 23122722

The totaled health risks in vascular events (THRIVE) score predicts ischemic stroke outcomes independent of thrombolytic therapy in the NINDS tPA trial.

Hooman Kamel1, Nihar Patel, Vivek A Rao, Sean P Cullen, Bonnie S Faigeles, Wade S Smith, Alexander C Flint.   

Abstract

BACKGROUND: To date, no ischemic stroke outcome prediction scores have been validated for use in the setting of both endovascular and non-endovascular stroke treatments. The Totaled Health Risks in Vascular Events (THRIVE) score has been previously validated in patients undergoing endovascular stroke treatment, and we hypothesized that it would perform similarly well in patients receiving intravenous tissue plasminogen activator (tPA) or no acute therapy.
METHODS: We compared the performance of the THRIVE score between patients in the National Institutes of Neurological Disorders and Stroke (NINDS) tPA trial and patients in the Mechanical Embolus Removal in Cerebral Ischemia (MERCI) trials of endovascular stroke treatment. The predictive performance of the THRIVE score was compared using receiver operator characteristic (ROC) curve analysis. In the NINDS cohort, separate analyses were also performed for patients receiving tPA versus those receiving placebo.
RESULTS: ROC curve analysis revealed a good prediction of outcomes across the range of THRIVE scores in both the NINDS and MERCI datasets. As we have previously found in the MERCI datasets, the THRIVE score, which encompasses the National Institutes of Health Stroke Scale (NIHSS) score, age, and chronic disease burden, was a better predictor of outcomes than NIHSS and age alone in the NINDS trial dataset. THRIVE score and tPA administration both strongly predicted outcome, but these effects were statistically independent.
CONCLUSIONS: The THRIVE score provides accurate prediction of long-term neurologic outcomes in patients with acute ischemic stroke regardless of treatment modality. Both the THRIVE score and tPA administration predict outcome, but the THRIVE score does not influence the impact of tPA on outcome, and tPA administration does not influence the impact of THRIVE score on outcome.
Copyright © 2013 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Comorbidities; endovascular stroke treatment; ischemic stroke; outcome prediction; outcomes; tissue plasminogen activator

Mesh:

Substances:

Year:  2012        PMID: 23122722     DOI: 10.1016/j.jstrokecerebrovasdis.2012.08.017

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  14 in total

1.  The THRIVE score strongly predicts outcomes in patients treated with the Solitaire device in the SWIFT and STAR trials.

Authors:  Alexander C Flint; Sean P Cullen; Vivek A Rao; Bonnie S Faigeles; Vitor M Pereira; Elad I Levy; Tudor G Jovin; David S Liebeskind; Raul G Nogueira; Reza Jahan; Jeffrey L Saver
Journal:  Int J Stroke       Date:  2014-05-20       Impact factor: 5.266

2.  Quantifying the Impact of Chronic Ischemic Injury on Clinical Outcomes in Acute Stroke With Machine Learning.

Authors:  Yee-Haur Mah; Parashkev Nachev; Andrew D MacKinnon
Journal:  Front Neurol       Date:  2020-01-24       Impact factor: 4.003

3.  Investigating the utility of previously developed prediction scores in acute ischemic stroke patients in the stroke belt.

Authors:  Amelia K Boehme; Pawan V Rawal; Michael J Lyerly; Karen C Albright; Reza Bavarsad Shahripour; Paola Palazzo; Niren Kapoor; Mohammad Alvi; J Thomas Houston; Mark R Harrigan; Luis Cava; April Sisson; Anne W Alexandrov; Andrei V Alexandrov
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-08-10       Impact factor: 2.136

4.  THRIVE score predicts outcomes with a third-generation endovascular stroke treatment device in the TREVO-2 trial.

Authors:  Alexander C Flint; Bin Xiang; Rishi Gupta; Raul G Nogueira; Helmi L Lutsep; Tudor G Jovin; Gregory W Albers; David S Liebeskind; Nerses Sanossian; Wade S Smith
Journal:  Stroke       Date:  2013-09-26       Impact factor: 7.914

5.  Predicting future brain tissue loss from white matter connectivity disruption in ischemic stroke.

Authors:  Amy Kuceyeski; Hooman Kamel; Babak B Navi; Ashish Raj; Costantino Iadecola
Journal:  Stroke       Date:  2014-02-12       Impact factor: 7.914

6.  The Role of Imaging in Clinical Stroke Scales That Predict Functional Outcome: A Systematic Review.

Authors:  Fatima Soliman; Ajay Gupta; Diana Delgado; Hooman Kamel; Ankur Pandya
Journal:  Neurohospitalist       Date:  2017-05-22

7.  Outcome prediction in acute stroke patients considered for endovascular treatment: a novel tool.

Authors:  Reuben Grech; Patrick Leo Galvin; Sarah Power; Alan O'Hare; Seamus Looby; Paul Brennan; John Thornton
Journal:  Interv Neuroradiol       Date:  2014-06-17       Impact factor: 1.610

8.  The PLAN score can predict poor outcomes of intracerebral hemorrhage.

Authors:  Wanliang Du; Xingquan Zhao; Yilong Wang; Guitao Zhang; Jiming Fang; Yuesong Pan; Liping Liu; Kehui Dong; Gaifen Liu; Yongjun Wang
Journal:  Ann Transl Med       Date:  2020-01

9.  Comparison of Different Dosages of Alteplase in Atrial Fibrillation-Related Acute Ischemic Stroke After Intravenous Thrombolysis: A Nationwide, Multicenter, Prospective Cohort Study in Taiwan.

Authors:  Sheng-Feng Lin; Chien-Fu Chen; Han-Hwa Hu; Bo-Lin Ho; Chih-Hung Chen; Lung Chan; Huey-Juan Lin; Yu Sun; Yung-Yang Lin; Po-Lin Chen; Shinn-Kuang Lin; Cheng-Yu Wei; Yu-Te Lin; Jiunn-Tay Lee; A-Ching Chao
Journal:  J Am Heart Assoc       Date:  2022-01-20       Impact factor: 6.106

Review 10.  Comparing the Predictive Ability of Prognostic Models in Ischemic Stroke; Derivation, Validation, and Discrimination Beyond the ROC Curve.

Authors:  Alireza Esteghamati; Nima Hafezi-Nejad; Sara Sheikhbahaei; Behnam Heidari; Ali Zandieh; Vahid Eslami
Journal:  Front Neurol       Date:  2014-01-27       Impact factor: 4.003

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