Can demographic and admission laboratory variables be useful to identify long-stay patients with acute ischemic stroke? A hospital-based cohort study in Singapore

Neurol Sci. 2009 Aug;30(4):275-80. doi: 10.1007/s10072-009-0084-0. Epub 2009 Apr 22.

Abstract

The demographic and laboratory predictors of long-stay patients with ischemic stroke were sought in this retrospective hospital-based study. In the univariate and multivariate analysis, advanced age, male gender, leukocytosis, elevated creatinine, low-serum albumin, elevated alkaline transaminases, and lactate dehydrogenase were identified as independent predictors of "long" stayers. At an optimal probability cut-offs, the receiver operating curve incorporating these variables was 0.70, sensitivity 68%, specificity 80%, positive-predictive value 39% and negative-predictive value 95%. Application of this information may assist physicians to triage patients at risk of severe stroke for early therapy and care.

MeSH terms

  • Aged
  • Blood Cell Count
  • Blood Chemical Analysis
  • Brain Ischemia / diagnosis*
  • Brain Ischemia / epidemiology
  • Brain Ischemia / physiopathology
  • Cohort Studies
  • Demography
  • Diagnostic Tests, Routine*
  • Female
  • Fever / complications
  • Fever / epidemiology
  • Glasgow Coma Scale
  • Humans
  • Length of Stay
  • Liver Function Tests
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prognosis
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Singapore / epidemiology
  • Socioeconomic Factors
  • Stroke / diagnosis*
  • Stroke / epidemiology
  • Stroke / physiopathology
  • Treatment Outcome