Table 5.
A binary logistic regression model for analysis of mortality (N = 50)
| Variable | Univariate analysis | P value | Multivariate analysis | P value |
|---|---|---|---|---|
| Odds ratio (95% confidence interval) | Odds ratio (95% confidence interval) | |||
| Acute kidney injury (yes) | 10.400 (1.227–88.178) | 0.032* | 19.670 (1.026–377.008) | 0.048* |
| Age (each increase of 1 year) | 1.044 (0.997–1.093) | 0.070 | ||
| Anion gap (each increase of 1 mmol/L) | 1.025 (0.980–1.072) | 0.275 | ||
| Diabetes mellitus (yes) | 1.033 (0.176–6.067) | 0.971 | ||
| Ethanol level (each increase of 1 mg/dL) | 0.996 (0.989–1.004) | 0.324 | ||
| Glasgow coma scale score (each decrease of 1 score) | 1.420 (1.171–1.721) | 0.000*** | 1.370 (1.079–1.739) | 0.010* |
| Habitual alcohol user (yes) | 1.833 (0.429–7.836) | 0.413 | ||
| Haemodialysis (yes) | 0.833 (0.209–3.323) | 0.796 | ||
| Hepatitis B or C virus carrier (yes) | 2.182 (0.421–11.318) | 0.353 | ||
| Hypertension (yes) | 2.302 (0.585–9.056) | 0.233 | ||
| Hypothermia (yes) | 15.500 (3.474–69.159) | 0.000*** | 6.905 (0.724–65.873) | 0.093 |
| Male (yes) | 2.640 (0.504–13.835) | 0.251 | ||
| Methanol level (each increase of 1 mg/dL) | 1.003 (0.993–1.012) | 0.598 | ||
| Osmolarity gap (each increase of 1 mOsm/kg H2O) | 1.016 (0.997–1.036) | 0.101 | ||
| pH (each decrease of 1 unit) | 59.981 (3.074–878.999) | 0.006** | 3.981 (0.061–258.848) | 0.517 |
| Sodium bicarbonate (yes) | 0.262 (0.051–1.350) | 0.109 | ||
| Time from exposure to hospital arrival (each increase of 1 h) | 1.034 (0.970–1.101) | 0.306 | ||
| Time from exposure to haemodialysis initiation (each increase of 1 h) | 1.001 (0.956–1.049) | 0.954 | ||
| Unintentional exposure (yes) | 1.413 (0.368–5.419) | 0.614 |
*P < 0.05, **P < 0.01, and ***P < 0.001