Table 2.
Validation of multivariable clinical model for predicting AKD
Variable | aOR | 95% CI | P value |
---|---|---|---|
Age, by unit of 5 yr | 1.00 | 1.00–1.00 | 0.83 |
Male | 2.56 | 1.79–3.67 | <0.001 |
Race | |||
African American vs. White | 1.89 | 1.12–3.19 | 0.02 |
Others vs. White | 1.32 | 0.49–3.60 | 0.59 |
Hypertension | 0.68 | 0.43–1.09 | 0.11 |
Cardiac disease | 0.76 | 0.39–1.48 | 0.42 |
APS-III score,a by units of 10 | 1.18 | 1.09–1.29 | <0.001 |
Weight-adjusted urine output,a,b by 100 ml | 0.98 | 0.97–0.99 | <0.001 |
Vasopressorc | 1.01 | 0.54–1.88 | 0.98 |
Mechanical ventilationc | 0.44 | 0.25–0.75 | 0.003 |
AKD, acute kidney disease; aOR, adjusted odds ratio; APS-III, Acute Physiology Score III; CI, confidence interval.
N = 476; area under the receiver operating characteristic curve = 0.71 (95% CI, 0.66–0.76); goodness-of-fit P value = 0.49.
Square-root transformation was used for selected variables in the model.
The available urine volume in the 24 hours after intensive-care unit admission was summed and divided by the weight.
Captured in 6 hours after randomization.