. Author manuscript; available in PMC: 2014 Jun 1.

Published in final edited form as: Dig Dis Sci. 2013 Jan 12;58(6):1790–1796. doi: 10.1007/s10620-012-2527-3

Table 5.

Unconditional logistic regression analysis of platelet counts on each variable

Parameter	OR (SE)	95 % CI	p value
AFP	1.00 (0.00001)	0.999–1.000	0.87
GGTP	1.001 (0.0004)	0.999–1.001	0.10
ALKP	1.001 (0.0004)	1.0001–1.002	0.001
Total bilirubin	0.69 (0.14)	0.46–1.03	0.07
PT	0.94 (0.08)	0.80–1.11	0.48
Albumin	1.06 (0.26)	0.66–1.71	0.81
Hgb	0.73 (0.06)	0.63–0.85	<0.001
WBC	1.04 (0.02)	1.001–1.091	0.04
Max tumor size	1.12 (0.03)	1.07–1.18	<0.001
Tumor number (no. of nodules)	1.08 (0.07)	0.95–1.23	0.23
PV thrombosis	1.22 (0.37)	0.67–2.22	0.52

Unconditional logistic regression analysis on each variable of platelet counts >400 × 10⁹/L, as odds ratio (OR) and 95 % confidence interval (CI), in the total HCC cohort (n = 634 patients); (n = 582 for platelets 125–400; n = 52, for platelets >400 × 10⁹/L)