Indrani Acosta1, Sivan Bloch2, Miriam Morales1, Natan M Bornstein3, Sean I Savitz1, Hen Hallevi4. 1. University of Texas at Houston Stroke Center, Houston, TX, United States. 2. Carmel Medical Center, Haifa, Israel. 3. Neurology Department and Stroke Program, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel. 4. Neurology Department and Stroke Program, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel. Electronic address: hen.hallevi@gmail.com.
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.
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 TIApatients: 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 TIApatients.
Authors: Hakan Ay; Walter J Koroshetz; Thomas Benner; Mark G Vangel; Ona Wu; Lee H Schwamm; A Gregory Sorensen Journal: Ann Neurol Date: 2005-05 Impact factor: 10.422
Authors: Bruce Ovbiagele; Jeffrey L Saver; Andre Fredieu; Shuichi Suzuki; Scott Selco; Venkatakrishna Rajajee; Norma McNair; Tannaz Razinia; Chelsea S Kidwell Journal: Stroke Date: 2004-10-28 Impact factor: 7.914
Authors: J Donald Easton; Jeffrey L Saver; Gregory W Albers; Mark J Alberts; Seemant Chaturvedi; Edward Feldmann; Thomas S Hatsukami; Randall T Higashida; S Claiborne Johnston; Chelsea S Kidwell; Helmi L Lutsep; Elaine Miller; Ralph L Sacco Journal: Stroke Date: 2009-05-07 Impact factor: 7.914
Authors: S Claiborne Johnston; Peter M Rothwell; Mai N Nguyen-Huynh; Matthew F Giles; Jacob S Elkins; Allan L Bernstein; Stephen Sidney Journal: Lancet Date: 2007-01-27 Impact factor: 79.321