Predicting the need for hospital admission of TIA patients

Indrani Acosta, Sivan Bloch, Miriam Morales, Natan M. Bornstein, Sean I. Savitz, Hen Hallevi

Research output: Contribution to journalArticlepeer-review

Abstract

Background It is unknown which patient will benefit most from hospital admission after transient ischemic attack (TIA). Our aim was to define predictors of a positive hospital outcome. Methods We used two cohorts of TIA patients: the University of Texas at Houston Stroke Center (UTH); and Tel-Aviv Sourasky Medical Center in Israel (TASMC) for external validation. We retrospectively reviewed medical records and imaging data. We defined positive yield (PY) of the hospital admission as identification of stroke etiologies that profoundly changes clinical management. Results The UTH cohort included 178 patients. 24.7% had PY. In the multivariate analysis, the following were associated with PY: coronary disease (CAD); age; and acute infarct on DWI. We then derived a composite score termed the PY score to predict PY. One point is scored for: age > 60, CAD, and acute infarct on DWI. The proportion of PY by PY score was as follows: 0-6%; 1-22%; 2-47%; 3-67% (p < 0.001). In the validation cohort PY score was highly predictive of PY and performed in a very similar manner. Conclusions Our data suggest, the PY score may enable physicians to make better admission decisions and result in better, safer and more economical care for TIA patients.

Original languageEnglish
Pages (from-to)83-86
Number of pages4
JournalJournal of the Neurological Sciences
Volume336
Issue number1-2
DOIs
StatePublished - 15 Jan 2014
Externally publishedYes

Keywords

  • Anticoagulation
  • Carotid surgery
  • Hospital admission
  • Prediction
  • Stroke prevention
  • TIA

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