Table 4.
Univariate and multivariate analysis for ΔAG predicting hospital mortality
| Variables | Odds ratios | β | 95% confidence interval | p value |
|---|---|---|---|---|
| Univariate logistic regression | ||||
| ΔAG (≥ 7 vs < 7) | 9.54 | 2.26 | 3.81–23.87 | < 0.001 |
| ΔAG, continuous | 1.24 | 0.21 | 1.16–1.32 | < 0.001 |
| Gender (male vs female) | 0.28 | − 1.28 | 0.11–0.70 | 0.007 |
| Race (white vs non-white) | 2.21 | 0.80 | 0.87–5.65 | 0.096 |
| Age | 1.15 | 0.14 | 1.08–1.22 | < 0.001 |
| Body mass index | 0.99 | 0.00 | 0.93–1.08 | 0.986 |
| Serum Creatinine | 1.34 | 0.29 | 1.12–1.61 | 0.002 |
| Urea nitrogen | 1.04 | 0.04 | 1.03–1.06 | < 0.001 |
| Lactate | 1.87 | 0.62 | 1.55–2.24 | < 0.001 |
| Base excess | 0.75 | − 0.28 | 0.70–0.82 | < 0.001 |
| White blood cell | 1.06 | 0.05 | 0.99–1.12 | 0.108 |
| AKF | 8.87 | 2.18 | 3.55–22.21 | < 0.001 |
| Acidosis | 4.92 | 1.59 | 1.63–15.01 | 0.005 |
| Diabetes | 1.24 | 0.21 | 0.49–3.15 | 0.655 |
| SAPSII | 1.07 | 0.07 | 1.04–1.10 | < 0.001 |
| SOFA | 1.17 | 0.15 | 1.01–1.35 | 0.040 |
| SIRS | 1.66 | 0.51 | 0.94–2.93 | 0.080 |
| Multivariate logistic regression | ||||
| Model 1 | ||||
| ΔAG, continuous | 1.24 | 0.21 | 1.11–1.39 | < 0.001 |
| Age | 1.14 | 0.13 | 1.07–1.21 | < 0.001 |
| Base excess | 0.81 | − 0.21 | 0.72–0.90 | < 0.001 |
| AKF | 14.87 | 2.69 | 2.81–77.55 | 0.001 |
| ΔAG × AKF | 0.84 | − 0.18 | 0.70–1.01 | 0.051 |
| Constant | − 15.69 | − 20.98 to − 10.40 | < 0.001 | |
| Model 2 | ||||
| ΔAG (≥ 7 vs < 7) | 4.23 | 1.44 | 1.22–14.63 | 0.023 |
| Age | 1.14 | 0.13 | 1.07–1.21 | < 0.001 |
| Base excess | 0.78 | − 0.25 | 0.70–0.86 | < 0.001 |
| AKF | 7.81 | 2.06 | 1.59–38.47 | 0.011 |
| ΔAG × AKF | 0.90 | − 0.10 | 0.75–1.09 | 0.278 |
The mean VIF of model 1 was 2.78
AG anion gap, AKF acute kidney failure, SAPSII simplified acute physiology score II, SOFA sequential organ failure assessment, SIRS systemic inflammatory response syndrome