Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values

Table 7 Multiple regression analysis to predict preadmission serum creatinine

	Dependent Variable Log (preadmission SCr)
Covariates or factor included in model	Model 1	Model 2
Constant	0.844 (0.049)	-3.728 (2.400)
Log (first SCr) Log (MDRD computed SCr) Age Male gender	0.461^a (0.026) n/a 0.001^b (0.000) 0.061^a (0.010)	n/a 2.744^e (1.233) 0.006^a (0.001) -0.209 (0.139)
Hypertension COPD	0.029^c (0.011) -0.011 (0.012)	0.048^a (0.014) -0.005 (0.015)
Heart failure	0.037^d (0.015)	0.099^a (0.019)
Diabetes	0.014 (0.011)	0.034^d (0.014)
Cancer Surgery SOFA score Observations R ² Adjusted R ²	0.015 (0.011) 0.027^a (0.010) -0.001 (0.001) 498 0.57 0.56	0.020 (0.014) -0.018 (0.013) 0.006^b (0.002) 498 0.30 0.28

Regression coefficients for covariates or factor (SEM in parentheses)
^a p ≤ 0.001. ^b p = 0.002. ^c p = 0.01. ^d p = 0.02. ^e p = 0.03
SCr serum creatinine, MDRD Modification of Diet in Renal Disease, COPD chronic obstructive pulmonary disease, SOFA Sequential Organ Failure Assessment score

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