Predicting the need for hospital admission of TIA patients

Abstract

BackgroundIt 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. MethodsWe 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. ResultsThe 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. ConclusionsOur 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.