Effects of Stroke on Medical Resource Use and Costs in Acute Myocardial Infarction

Autor: W D Weaver, Michael A. Sloan, Kenneth W. Mahaffey, Daniel B. Mark, Christopher B. Granger, E.J. Topol, Harvey D. White, JM Gore, Nancy E. Clapp-Channing, C.Y. Tung, Robert M. Califf, Knight Jd, M. L. Simoons
Rok vydání: 1999
Předmět:
Zdroj: Circulation. 99:370-376
ISSN: 1524-4539
0009-7322
DOI: 10.1161/01.cir.99.3.370
Popis: Background —Stroke occurs concurrently with myocardial infarction (MI) in ≈30 000 US patients each year. This number is expected to rise with the increasing use of thrombolytic therapy for MI. However, no data exist for the economic effect of stroke in the setting of acute MI (AMI). The purpose of this prospective study was to assess the effect of stroke on medical resource use and costs in AMI patients in the United States. Methods and Results —Medical resource use and cost data were prospectively collected for 2566 randomly selected US GUSTO I patients (from 23 105 patients) and for the 321 US GUSTO I patients who developed non–bypass surgery–related stroke during the baseline hospitalization. Follow-up was for 1 year. All costs are expressed in 1993 US dollars. During the baseline hospitalization, stroke was associated with a reduction in cardiac procedure rates and an increase in length of stay, despite a hospital mortality rate of 37%. Together with stroke-related procedural costs of $2220 per patient, the baseline medical costs increased by 44% ($29 242 versus $20 301, P P P P =0.002). Conclusions —In this first large prospective economic study of stroke in AMI patients, we found that strokes were associated with a 60% ($15 092) increase in cumulative 1-year medical costs. Baseline hospitalization costs were 44% higher because of longer mean lengths of stay. Stroke type was a key determinant of baseline cost. Follow-up costs were more than quadrupled for stroke survivors because of the need for institutional care. Disability level was the main determinant of institutional care and thus of follow-up costs.
Databáze: OpenAIRE