Abstract 145: Outcome in Patients with Minor Stroke: The Effect of Itemized NIHSS Score Subsets
Background: The use of the National Insitutes of Health Stroke Scale (NIHSS) to assess stroke severity in minor stroke is controversial. We hypothesized that patients with cortical signs on the itemized NIHSS subsets (neglect, visual, or language) will have a worse outcome than those without.
Methods: Data was retrieved from the Columbia SPOTRIAS dataset. All patients with NIHSS between 0 and 5 within 12 hours from symptom onset who were not treated with intravenous thrombolysis were included. Patients were followed prospectively as part of the “Stroke Warning Information and Faster Treatment” Study. Poor outcome was defined as not being discharged home and analyzed using multivariable logistic regression. The primary predictor was cortical features on the itemized NIHSS. Individual components of the NIHSS score, treated as a dichotomous variable, as well as the admission NIHSS score were assessed in secondary analyses.
Results: The sample included 894 patients, of which 162 (18%) were not discharged home. In multivariable regression analysis of baseline demographics, risk factors, median NIHSS, and cortical signs, only mean age (OR = 1.02, P<0.001) and NIHSS score (OR = 1.59, p<0.001) were associated with non-discharge home. In secondary analyses having any score on the following items predicted non-discharge home: Motor (OR = 2.40, p<0.001), LOC (OR = 6.67, p=0.004), and Ataxia (OR = 3.21, p<0.001). Other items from the NIHSS were not associated with discharge disposition. Motor deficits (AUC 0.623) appeared to be more predictive of discharge outcome than ataxia (AUC 0.569) and LOC deficits (AUC 0.517). In addition, the admission NIHSS had a fair correlation with discharge outcome (AUC 0.683).
Conclusion: Deficits in LOC, motor weakness, and ataxia predict discharge outcome in patients with mild stroke, with the motor score being the most influential component. This may potentially alter treatment decisions in this population. The fair correlation between NIHSS score and discharge outcome suggests that certain factors not captured by the NIHSS score may contribute to discharge outcome in this patient population.
Author Disclosures: S. Yaghi: None. J.Z. Willey: None. H. Andrews: None. A.K. Boehme: None. L. Quarles: None. R.S. Marshall: None. B. Boden-Albala: Research Grant; Significant; NIH NINDS and NIMHD funding.
- © 2015 by American Heart Association, Inc.