Table 2.
beta (SE) | Adjusted OR (95% CI) | P | |
---|---|---|---|
Factors predicting OV | |||
Gender | −2.5 (0.7) | 0.003 | |
Male | 1 | ||
Female | 0.1 (0.02–0.3) | ||
Platelet count (cell/mm3) | 2.5 (0.7) | 0.0003 | |
≥93000 | 1 | ||
<93000 | 12.4 (3.2–47.7) | ||
Spleen size (mm) | 0.04 (0.01) | 1.04 (1.01–1.07) | 0.002 |
Factors predicting large OV | |||
Gender | −2.1 (0.6) | 0.001 | |
Male | 1 | ||
Female | 0.1 (0.03–0.4) | ||
Platelet count (cell/mm3) | 1.4 (0.5) | 0.01 | |
≥93000 | 1 | ||
<93000 | 4.0 (1.4–11.72) | ||
Spleen size (mm) | 0.04 (0.01) | 1.05 (1.02–1.1) | <0.0001 |
Child-Pugh score | <0.0001 | ||
Class A | 1 | ||
Class B | −1.6 (0.8) | 0.2 (0.04–0.9) | |
Class C | −0.7 (0.8) | 0.5 (0.1–2.3) |
Intercept of model predicting OV = −4.2, C-index: 0.878, R 2 = 0.31, P < 0.0001.
Intercept of model predicting LOV = −4.2, C-index: 0.850, R 2 = 0.30, P < 0.0001.
Beta: coefficient estimates, OR: odds ratio, SE: standard error, CI: confidence interval.
Platelet count dichotomized by the median value because of large value of coefficient estimates of platelet count (−10-5) when used as continuous variable not corrected by the exact method, Logistic regression analysis was computed on 110 patients due to one missing value in those with no OV.