Table 2. Univariate analyses for the potential factors associated with hemorrhagic transformation by Logistic regression.

	Model1				Model2				Model3
	P	OR	95% CI		P	OR	95% CI		P	OR	95% CI
Age	<0.01	1.04	1.018-1.066	Age	<0.01	1.04	1.02-1.07	Age	<0.01	1.04	1.02-1.07
SBP	<0.01	0.97	0.961-0.986	SBP	<0.01	0.97	0.96-0.99	SBP	<0.01	0.97	0.96-0.98
TB	0.05	1.03	0.999-1.069	TB	0.06	1.03	1.00-1.07	TB	0.28	1.02	0.98-1.06
AST	0.49	1.02	1.000-1.041	AST	0.05	1.02	1.00-1.04	AST	0.12	1.02	1.00-1.04
GH	0.54	0.95	0.808-1.119	GH	0.55	0.95	0.81-1.12	GH	0.81	0.98	0.82-1.16
NIHSS	<0.01	11.92	5.198-27.356	NIHSS	<0.01	11.82	5.14-27.22	NIHSS	<0.01	1.32	1.22-1.44
				N+L	0.81	1.73	0.02-157.94	N/L	0.03	1.12	1.01-1.25

Note: Logistic regression analysis found that patients’ Age, SBP, and HIHSS are independent risk factors for HT. On this basis, we have established three models, and Model 2 and Model 3 add two variables, N+L and N/L, respectively.

Abbreviation: SBP: Systolic blood pressure; N/L: Neutrophil/ Lymphocyte; N+L: Neutrophil + Lymphocyte; AST: Aspartate aminotransferase; GH: Glycated hemoglobin; TB: Total bilirubin.