Journal article
Can We Predict Early Recurrence in Acute Stroke?
Cerebrovascular diseases (Basel, Switzerland), Vol.18(2), pp.139-144
08/2004
DOI: 10.1159/000079267
PMID: 15218280
Abstract
Background: The prevention of early recurrent stroke, which worsens outcomes after a cerebral infarction, is a major objective for acute stroke therapy. The ability to predict which patients are at risk for early recurrence would be useful for both the management and design of clinical trials. Methods: Using the prospective database with the 1,266 stroke patients admitted in the TOAST study, we analyzed all the patients who had suffered either a transient ischemic attack (TIA) or a recurrent stroke within 3 months after stroke, and their possible association with 20 selected clinical variables. Both univariate and stepwise regression analyses were performed. Results: Sixty-two patients (4.9%) had a second stroke, and 47 patients (3.7%) had at least one TIA. No particular high-risk period was observed. Early recurrent stroke was associated with the large artery atherosclerosis subtype. A prior history of TIA increased the odds for recurrent stroke (OR = 2.52; 1.16–5.46) or poststroke TIA (OR = 3.46; 1.59–7.48). In addition, patients who had a TIA after the stroke had a 17% chance of having an early recurrent stroke, as compared with 4.4% among those that did not (p = 0.001). Conclusion: Our present ability to identify patients at risk for early recurrence based on baseline clinical features remains limited. While the presence of TIA before or after the stroke denotes a subgroup of acute stroke patients at higher risk for early recurrence in the first 3 months, no other factors reliably identify high-risk patients.
Details
- Title: Subtitle
- Can We Predict Early Recurrence in Acute Stroke?
- Creators
- Enrique C LeiraKu-Chou ChangPatricia H DavisWilliam R ClarkeRobert F WoolsonMichael D HansenHarold P Adams Jr
- Resource Type
- Journal article
- Publication Details
- Cerebrovascular diseases (Basel, Switzerland), Vol.18(2), pp.139-144
- Publisher
- Basel, Switzerland
- DOI
- 10.1159/000079267
- PMID
- 15218280
- ISSN
- 1015-9770
- eISSN
- 1421-9786
- Number of pages
- 6
- Language
- English
- Date published
- 08/2004
- Academic Unit
- Statistics and Actuarial Science; Neurology; Epidemiology; Iowa Neuroscience Institute; Biostatistics; Neurosurgery
- Record Identifier
- 9984013204702771
Metrics
30 Record Views