Table 2.

Single binary logistic regression analysis results.

Variable	OR[95%CI]	p
Sex		0.087
Male	1
Female	0.64[0.38–1.07]
Age		0.033
≤ 47.81	1
> 47.81	1.02[1-1.04]
Hypertension		0.100
No	1
Yes	2.12[0.87–5.19]
Diabetes		0.146
No	1
Yes	2.25[0.75–6.72]
Smoke		0.945
No	1
Yes	1.02[0.57–1.84]
Alcoholism		0.649
No	1
Yes	0.81[0.34–1.98]
Hepatitis		0.552
No	1
Yes	0.62[0.13–2.95]
BMI		0.121
≤ 23.67	1
> 23.67	1.54[0.89–2.65]
RBC		0.755
≤ 4.3	1
> 4.3	0.86[0.33–2.24]
HGB		0.704
≤ 121.6	1
> 121.6	0.91[0.55–1.49]
MCHC		0.414
≤ 329.95	1
> 329.95	0.81[0.49–1.34]
WBC		< 0.001
≤ 10.1	1
> 10.1	7.25[4.11–12.81]
NC		< 0.001
≤ 7.6	1
> 7.6	10.33[5.68–18.77]
LYM		< 0.001
≤ 1.7	1
> 1.7	0.38[0.22–0.65]
MONO		0.009
≤ 0.7	1
> 0.7	1.96[1.18–3.25]
EOS		0.043
≤ 0.15	1
> 0.15	0.56[0.32–0.98]
BASO		0.011
≤ 0.04
> 0.04	0.5[0.29–0.85]
PLT		0.163
≤ 260.70	1
> 260.70	1.43[0.87–2.35]
PCT		0.348
≤ 0.23	1
> 0.23	1.27[0.77–2.1]
PT		0.946
≤ 11.51	1
> 11.51	1.06[0.2–5.58]
APTT		0.873
≤ 30.94	1
> 30.94	0.96[0.56–1.64]
FIB		0.976
≤ 3.92	1
> 3.92	0.99[0.58–1.71]
D-Dimer		0.489
≤ 144.78	1
> 144.78	1.29[0.62,2.68]
ALB		0.124
≤ 40.72	1
> 40.72	0.66[0.39–1.12]
GGT		0.536
≤ 74.52	1
> 74.52	1.2[0.67–2.13]
ALT		0.393
> 32.48	1
≤ 32.48	1.28[0.72–2.27]
AST		0.119
> 37.35	1
≤ 37.35	1.63[0.88–3.02]
TBIL		0.425
≤ 12.64	1
> 12.64	1.25[0.72–2.15]
Cr		0.502
> 65.87	1
≤ 65.87	1.21[0.7–2.08]
MLR		< 0.001
≤ 0.460	1
> 0.460	3.76[2.24–6.33]
NAR		< 0.001
≤ 0.168	1
> 0.168	6.95[3.94–12.27]
ANRI		0.001
≤ 5.682	1
> 5.682	0.32[0.16–0.64]
SII		< 0.001
≤ 1417.32	1
> 1417.32	7.02[4.06–12.14]