Table 3 Logistic regression analysis of predictors for PCF.
From: Association between DIAPH1 variant and posterior circulation involvement with Moyamoya disease
Characteristics | PCA | p values | OR (95% CI) | ||
|---|---|---|---|---|---|
Involvement, n (%) (n = 12) | Non-involvement, n (%) (n = 38) | Univariate | Multivariate | ||
DIAPH1 variant | 7 (58.3%) | 2 (5.3%) | 0.001 | 0.001 | 29.483 (3.920–221.736) |
Baseline data | |||||
Sex (M : F) | 6:6 | 18:20 | 0.874 | 0.462 | 1.950 (0.329–11.553) |
Age, years, median (IQR) | 19.5 (12–37.25) | 26.5 (9–34) | 0.717 | 0.834 | 1.007 (0.942–1.077) |
Clinical manifestation, n (%) | |||||
TIA | 2 (16.7%) | 6 (15.8%) | 0.936 | ||
Infarction | 6 (50%) | 19 (50%) | 0.997 | ||
Hemorrhage | 4 (33.4%) | 13 (34.2%) | 0.954 | ||
Clinical features, mean (SD) | |||||
BMI, kg/m2 | 23.3 ± 6.1 | 22.5 ± 5.2 | 0.630 | ||
PLT count, 109/L | 243.6 ± 56.8 | 267.7 ± 62.0 | 0.236 | 0.480 | 1.006 (0.990–1.021) |
Leptomeningeal (−)a (posterior to anterior), n (%) | 7 (58.3%) | 5 (13.2%) | 0.005 | ||
