Skip to main content
. Author manuscript; available in PMC: 2020 Aug 21.
Published in final edited form as: Stroke. 2019 Feb;50(2):298–304. doi: 10.1161/STROKEAHA.118.021856

Table 1:

Predictors of favorable outcome after stroke in the CADISP cohort

Predictor Outcome OR 95%CI p-value
unfavorable (n=122) favorable (n=694) univariate multivariate
Female sex (n)§ 40 (32.8) 297 (42.8) 1.35 0.79–2.36 0.046 0.279
Age (mean±SD) 46.4±8.5 43.8±10.6 0.97 0.95–0.99 0.002 0.040
CeAD etiology (n)§ 70 (57.4) 323 (46.5) 1.11 0.65–1.89 0.031 0.707
NIHSS (median)$ 14 [0–40] 2 [0–24] 0.81 0.78–0.84 <0.001 <0.001
Imbalance (median/mean) $ 0/0.94 [0–29] 0/0.51 [0–28] 0.89 0.82–0.95 0.242 0.001
Imbalance with ohnologs (median/mean) $ 0/0.57 [0–29] 0/0.23 [0–28] 0.88 0.80–0.95 0.056 0.002
Imbalance without ohnologs (median/mean) $ 0/0.30 [0–8] 0/0.25 [0–25] 0.93 0.80–1.18 0.942 0.42

The association between functional outcome and different types of genetic imbalance was assessed by multivariate logistic regression analysis (model 1: continuous genetic imbalance), each time adjusted for age, sex and ancestry-derived principal components 1–10 as potential confounders, and including stroke etiology (CeAD vs non-CeAD) and stroke severity (NIHSS) as additional covariates. CeAD indicates cervical artery dissection; NIHSS, NIH stroke scale; OR, model-adjusted odds ratio of favorable outcome; 95%CI, 95% confidence interval of OR

§

percentage in brackets

$

range in square brackets.

Univariate p-values obtained by non-model-based methods: χ2-squared test, Student’s t test or Mann-Whitney U-test, as appropriate.