Table 4 Logistic regression analysis for... | American Society of Hematology

Table 4

Logistic regression analysis for CR

	Univariable				Multivariable
Variable	OR	95% CI	P value	OR	95% CI	P value
WBC*	0.98	0.96	0.99	.0005	0.98	0.96	0.99	.01
Coagulopathy, yes vs no	0.43	0.16	1.13	.09	0.27	0.08	0.89	.03
Creatinine, abnormal vs normal*	0.21	0.06	0.72	.01	0.28	0.06	1.32	.11
Albumin†	6.57	2.71	15.94	<.0001	4.60	1.74	12.15	.002

	Univariable				Multivariable
Variable	OR	95% CI	P value	OR	95% CI	P value
WBC*	0.98	0.96	0.99	.0005	0.98	0.96	0.99	.01
Coagulopathy, yes vs no	0.43	0.16	1.13	.09	0.27	0.08	0.89	.03
Creatinine, abnormal vs normal*	0.21	0.06	0.72	.01	0.28	0.06	1.32	.11
Albumin†	6.57	2.71	15.94	<.0001	4.60	1.74	12.15	.002

OR, odds ratio.

The relationship between creatinine levels and CR was quadratic, thus we categorized the patients as presenting normal values (0.5 ≤ creatinine ≤1.4 mg/dL) or not.

†

Analyzed as continuous variables because the linearity assumption for these variables was met.

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