TABLE 4.

Correlation between baseline predictors and mitigation outcomes in binary logistics regression analysis.

	Model A		Model B		Model C
	Or (95%C.I.)	p-value	Or (95%C.I.)	p-value	Or (95%C.I.)	p-value
Gender					1.199	0.673
					(0.517–2.782)
Age					1.000	0.975
					(0.971–1.031)
Hypertension	0.609	0.163	0.801	0.583	0.783	0.565
	(0.303–1.224)		(0.363–1.768)		(0.340–1.801)
Tacrolimus	0.269	0.040	0.435	0.224	0.409	0.209
	(0.077–0.944)		(0.114–1.666)		(0.102–1.647)
Nephrotic Syndrome	0.346	0.034
	(0.130–0.924)
Risk Ranking	0.510	0.024
	(0.284–0.915)
Albumin (g/L)			1.096	0.008	1.093	0.012
			(1.024–1.174)		(1.020–1.171)
24-h Urine Protein (g/24 h)			0.904	0.055	0.893	0.038
			(0.815–1.002)		(0.802–0.994)
Cholesterol (mmol/L)			0.963	0.666	0.917	0.397
			(0.810–1.144)		(0.750–1.120)
Triglyceride (mmol/L)					1.103	0.351
					(0.898–1.354)
Treatment Course (Month)	1.074	<0.001	1.079	0.001	1.076	0.002
	(1.034–1.116)		(1.032–1.128)		(1.028–1.127)