Validation of a multivariate clinical prediction model for the diagnosis of mild stroke/transient ischemic attack in physician first-contact patient settings

Health Informatics J. 2019 Sep;25(3):1148-1157. doi: 10.1177/1460458217747111. Epub 2017 Dec 17.

Abstract

We validate our previously developed (DOI: 10.1101/089227) clinical prediction rule for diagnosing transient ischemic attack on the basis of presenting clinical symptoms and compare its performance with the ABCD2 score in first-contact patient settings. Two independent and prospectively collected patient validation cohorts were used: (a) referral cohort-prospectively referred emergency department and general practitioner patients (N = 877); and (b) SpecTRA cohort-participants recruited as part of the SpecTRA biomarker project (N = 545). Outcome measure consisted of imaging-confirmed clinical diagnosis of mild stroke/transient ischemic attack. Results showed that our clinical prediction rule demonstrated significantly higher accuracy than the ABCD2 score for both the referral cohort (70.5% vs 59.0%; p < 0.001) and SpecTRA cohort (72.8% vs 68.3%; p = 0.028). We discuss the potential of our clinical prediction rule to replace the use of the ABCD2 score in the triage of transient ischemic attack clinic referrals.

Keywords: acute cerebrovascular syndrome; clinical prediction rule; minor stroke; stroke-mimic; transient ischemic attack.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • British Columbia
  • Clinical Decision Rules
  • Cohort Studies
  • Humans
  • Ischemic Attack, Transient / diagnosis*
  • Ischemic Attack, Transient / physiopathology
  • Multivariate Analysis
  • Prospective Studies
  • ROC Curve
  • Referral and Consultation / standards
  • Stroke / diagnosis*
  • Stroke / physiopathology
  • Triage / methods
  • Triage / standards*