Hemostatic markers in acute ischemic stroke. Association with stroke type, severity, and outcome

Stroke. 1996 Aug;27(8):1296-300. doi: 10.1161/01.str.27.8.1296.

Abstract

Background and purpose: Hemostatic markers can identify activation of the coagulation system in stroke patients. We evaluated whether the levels of these markers at the time of stroke are correlated with stroke severity, type, or mortality.

Methods: We measured fibrinopeptide A, cross-linked D-dimer, and beta-thromboglobulin in 70 patients within 1 week of stroke. We examined the association between the level of each of these markers and survival. We adjusted for the possible confounding effect of age, stroke type, or stroke severity using a multivariate Cox proportional hazards model.

Results: The median follow-up was 1.22 years. Fourteen patients died during follow-up. Univariate survival analysis identified age (hazard ratio, 1.06; 95% confidence interval [CI], 1.00 to 1.12), stroke type (hazard ratio, 4.44; 95% CI, 1.29 to 15.23), initial Toronto Stroke Scale score (hazard ratio, 5.05; 95% CI, 2.08 to 12.27), cross-linked D-dimer (hazard ratio, 6.43; 95% CI, 2.83 to 14.62), fibrinopeptide A (hazard ratio, 2.14; 95% CI, 1.26 to 3.63), and beta-thromboglobulin (hazard ratio, 7.63; 95% CI, 2.22 to 26.28) as significantly associated with mortality. In a multivariate model, initial stroke severity and each of the hemostatic markers were independently associated with subsequent mortality.

Conclusions: Elevated hemostatic markers after acute ischemic stroke identify patients with increased risk for mortality. This association appears to be independent of stroke severity or stroke type.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Biomarkers
  • Brain Ischemia / complications*
  • Brain Ischemia / mortality*
  • Cerebrovascular Disorders / etiology*
  • Cerebrovascular Disorders / mortality*
  • Female
  • Hemostasis / physiology
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Risk Factors
  • Survival Analysis

Substances

  • Biomarkers