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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Acta Neurol Scand. 2016 Aug 29;135(5):585–592. doi: 10.1111/ane.12670

Table 4.

Multivariable logistic regression analysis with backward elimination of factors independently associated with a poor 90-day (3–6)

Independent variable OR (95% CI) P-value
Model 1*,
WMH lesion burden 1.80 (1.18–2.76) 0.007
Non-SVD SSI mechanism 6.51 (1.52–27.94) 0.012

Model 2*,,
WMH lesion burden 2.28 (1.04–4.99) 0.040
Pre-admission mRS score, per point 8.96 (2.65–30.27) <0.001
Infarct volume, per mL 1.98 (1.14–3.44) 0.016
Age, per year 0.91 (0.82–1.01) 0.063
Non-SVD SSI mechanism 9.20 (1.04–81.39) 0.046
*

Hosmer-Lemeshow for model 1: χ2=7.758, p=0.457. Hosmer-Lemeshow for model 2: χ2=3.059, p=0.931.

*

Entering the infarct volume as mean or total infarct volume did not meaningfully change the results, respectively.

The interaction term of white matter hyperintensity (WMH) lesion burden x infarct volume and presence of multiple SSI were not retained. Finally, entering large artery atherosclerosis, cardioaortic embolism, and small arterial occlusion in lieu of the non-small vessel disease (SVD) small subcortical infarct (SSI) mechanism did not meaningfully change the models whereby presence of SVD-related SSI etiology was associated with a favorable outcome (p<0.05 in each model).

The National Institutes of Health Stroke Scale score was not retained in model 2. Further, restricting the analysis to patients with a modified Rankin Scale (mRS) of <6, did not meaningfully change the results.