TY - JOUR
T1 - Itemized NIHSS subsets predict positive MRI strokes in patients with mild deficits
AU - Yaghi, Shadi
AU - Herber, Charlotte
AU - Willey, Joshua Z.
AU - Andrews, Howard F.
AU - Boehme, Amelia K.
AU - Marshall, Randolph S.
AU - Lazar, Ronald M.
AU - Boden-Albala, Bernadette
N1 - Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/11/15
Y1 - 2015/11/15
N2 - Background: While imaging is useful in confirming the diagnosis of ischemic stroke, negative diffusion weighted imaging (DWI) is reported in up to 25% of patients. Our aim was to identify predictors of MRI-positive stroke from the itemized NIHSS. Methods: Data were derived from the Stroke Warning Information and Faster Treatment study from February 2006 to February 2010 among patients with mild deficits (NIHSS 0–5) and a final diagnosis of stroke by a vascular neurologist. All MRI sequences were reviewed for the presence or absence of an acute infarct on DWI. Multivariate logistic regression assessed factors predicting DWI-positive strokes; p < 0.05 was considered significant. Results: 894 patients had a discharge diagnosis of stroke; 709 underwent MRI and 28.0% were DWI negative. All patients with visual field deficits or neglect were DWI positive. On multivariate analysis including total NIHSS (0–2 vs. 3–5) and itemized NIHSS score subsets, predictors of a positive DWI were NIHSS score of 3–5 (OR = 3.3, 95% CI: 1.8–6.1), motor deficits (OR = 1.7, 95% CI: 1.1–2.8), ataxia (OR = 1.9, 95% CI: 1.0–3.5), and absence of sensory deficits (OR = 1.7, 95% CI: 1.0–2.7). We developed the NIHSS-m score that predicts DWI positivity in patients with mild deficits in the absence of neglect or visual field deficits. Conclusion: NIHSS score subsets predict DWI positivity in mild strokes. The presence of neglect or visual field deficits on the NIHSS subsets is most likely to have an MRI correlate even in patients with low NIHSS.
AB - Background: While imaging is useful in confirming the diagnosis of ischemic stroke, negative diffusion weighted imaging (DWI) is reported in up to 25% of patients. Our aim was to identify predictors of MRI-positive stroke from the itemized NIHSS. Methods: Data were derived from the Stroke Warning Information and Faster Treatment study from February 2006 to February 2010 among patients with mild deficits (NIHSS 0–5) and a final diagnosis of stroke by a vascular neurologist. All MRI sequences were reviewed for the presence or absence of an acute infarct on DWI. Multivariate logistic regression assessed factors predicting DWI-positive strokes; p < 0.05 was considered significant. Results: 894 patients had a discharge diagnosis of stroke; 709 underwent MRI and 28.0% were DWI negative. All patients with visual field deficits or neglect were DWI positive. On multivariate analysis including total NIHSS (0–2 vs. 3–5) and itemized NIHSS score subsets, predictors of a positive DWI were NIHSS score of 3–5 (OR = 3.3, 95% CI: 1.8–6.1), motor deficits (OR = 1.7, 95% CI: 1.1–2.8), ataxia (OR = 1.9, 95% CI: 1.0–3.5), and absence of sensory deficits (OR = 1.7, 95% CI: 1.0–2.7). We developed the NIHSS-m score that predicts DWI positivity in patients with mild deficits in the absence of neglect or visual field deficits. Conclusion: NIHSS score subsets predict DWI positivity in mild strokes. The presence of neglect or visual field deficits on the NIHSS subsets is most likely to have an MRI correlate even in patients with low NIHSS.
KW - DWI negative stroke
KW - Diffusion weighted imaging
KW - MRI
KW - Mild deficits
KW - NIHSS
KW - Stroke
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U2 - 10.1016/j.jns.2015.08.1548
DO - 10.1016/j.jns.2015.08.1548
M3 - Article
C2 - 26375623
AN - SCOPUS:84941585171
SN - 0022-510X
VL - 358
SP - 221
EP - 225
JO - Journal of the Neurological Sciences
JF - Journal of the Neurological Sciences
IS - 1-2
ER -