Table 3.

Multiple regression models showing association of ACEI/ARB with AKIa

VariablePoint Estimate95% CI
Model 1: Logistic model for AKI by ACEI/ARBb
    demographics1.511.200 to 1.910
    demographics + diabetes1.391.100 to 1.760
    demographic + diabetes + CHF1.281.010 to 1.640
Model 2: All variables that were significant in univariate model + demographics, NSAID
    ACEI/ARB1.351.050 to 1.730
    age1.041.030 to 1.060
    NSAID (not used)0.770.530 to 1.140
    diabetes1.661.290 to 2.130
    CABG + valve replacement2.241.590 to 3.160
    emergency surgery1.490.990 to 2.230
    CHF1.421.050 to 1.910
    intraoperative hypotension1.361.060 to 1.740
    on pump1.891.440 to 2.480
    intraoperative IVF (L)1.061.004 to 1.130
Model 3: Logistic model after matching on propensity score
    ACEI/ARB1.411.070 to 1.850
    age1.041.030 to 1.050
    NSAID0.800.490 to 1.290
    diabetes1.661.290 to 2.130
    CABG + valve replacement1.691.230 to 2.590
    emergency surgery1.210.750 to 1.940
    CHF1.340.930 to 1.940
    intraoperative hypotension1.421.060 to 1.880
    on pump1.891.380 to 2.590
    intraoperative IVF (L)1.050.980 to 1.130
  • a CI, confidence interval; IVF, intravenous fluid.

  • b Demographics included age, race, gender, and BMI.