Validation of TURN, a simple predictor of symptomatic intracerebral hemorrhage after IV thrombolysis

David Asuzu, Karin Nyström, Hardik Amin, Joseph Schindler, Charles Wira, David Greer, Nai Fang Chi, Janet Halliday, Kevin N. Sheth

Research output: Contribution to journalArticle

Abstract

Objective We recently described TURN (Thrombolysis risk Using MRS and NIHSS), a computationally simple tool for predicting symptomatic intracerebral hemorrhage (sICH) after IV thrombolysis (rt-PA). Our objective was to compare TURN to existing scores for predicting sICH. Methods Our internal dataset consisted of 210 ischemic stroke patients receiving IV rt-PA from January 2009 until July 2013 at Yale New Haven Hospital. Our external dataset included 303 patients who received IV rt-PA during the NINDS rt-PA trial. Predictive ability and goodness of fit were quantified by odds ratios (OR) and areas under the receiver operating characteristic curve (AUROC), and compared using unequal variance two-sample t-tests. Results TURN predicted sICH with a higher OR than ASTRAL in the internal dataset (2.72 versus 1.10, P = 0.05). We found no other significant differences in OR or AUROC between TURN and other scores in both datasets. Conclusion Despite its computational simplicity, TURN predicts sICH with accuracy comparable to existing scores.

Original languageEnglish
Pages (from-to)71-75
Number of pages5
JournalClinical Neurology and Neurosurgery
Volume146
DOIs
Publication statusPublished - Jul 1 2016

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Cerebral Hemorrhage
Odds Ratio
ROC Curve
National Institute of Neurological Disorders and Stroke
Stroke
Datasets

Keywords

  • Adverse outcomes
  • Ischemic stroke
  • IV Thrombolysis
  • Predictive scores
  • Symptomatic intracerebral hemorrhage

ASJC Scopus subject areas

  • Clinical Neurology
  • Surgery

Cite this

Validation of TURN, a simple predictor of symptomatic intracerebral hemorrhage after IV thrombolysis. / Asuzu, David; Nyström, Karin; Amin, Hardik; Schindler, Joseph; Wira, Charles; Greer, David; Chi, Nai Fang; Halliday, Janet; Sheth, Kevin N.

In: Clinical Neurology and Neurosurgery, Vol. 146, 01.07.2016, p. 71-75.

Research output: Contribution to journalArticle

Asuzu, David ; Nyström, Karin ; Amin, Hardik ; Schindler, Joseph ; Wira, Charles ; Greer, David ; Chi, Nai Fang ; Halliday, Janet ; Sheth, Kevin N. / Validation of TURN, a simple predictor of symptomatic intracerebral hemorrhage after IV thrombolysis. In: Clinical Neurology and Neurosurgery. 2016 ; Vol. 146. pp. 71-75.
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AU - Greer, David

AU - Chi, Nai Fang

AU - Halliday, Janet

AU - Sheth, Kevin N.

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N2 - Objective We recently described TURN (Thrombolysis risk Using MRS and NIHSS), a computationally simple tool for predicting symptomatic intracerebral hemorrhage (sICH) after IV thrombolysis (rt-PA). Our objective was to compare TURN to existing scores for predicting sICH. Methods Our internal dataset consisted of 210 ischemic stroke patients receiving IV rt-PA from January 2009 until July 2013 at Yale New Haven Hospital. Our external dataset included 303 patients who received IV rt-PA during the NINDS rt-PA trial. Predictive ability and goodness of fit were quantified by odds ratios (OR) and areas under the receiver operating characteristic curve (AUROC), and compared using unequal variance two-sample t-tests. Results TURN predicted sICH with a higher OR than ASTRAL in the internal dataset (2.72 versus 1.10, P = 0.05). We found no other significant differences in OR or AUROC between TURN and other scores in both datasets. Conclusion Despite its computational simplicity, TURN predicts sICH with accuracy comparable to existing scores.

AB - Objective We recently described TURN (Thrombolysis risk Using MRS and NIHSS), a computationally simple tool for predicting symptomatic intracerebral hemorrhage (sICH) after IV thrombolysis (rt-PA). Our objective was to compare TURN to existing scores for predicting sICH. Methods Our internal dataset consisted of 210 ischemic stroke patients receiving IV rt-PA from January 2009 until July 2013 at Yale New Haven Hospital. Our external dataset included 303 patients who received IV rt-PA during the NINDS rt-PA trial. Predictive ability and goodness of fit were quantified by odds ratios (OR) and areas under the receiver operating characteristic curve (AUROC), and compared using unequal variance two-sample t-tests. Results TURN predicted sICH with a higher OR than ASTRAL in the internal dataset (2.72 versus 1.10, P = 0.05). We found no other significant differences in OR or AUROC between TURN and other scores in both datasets. Conclusion Despite its computational simplicity, TURN predicts sICH with accuracy comparable to existing scores.

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