Table 5 A binary logistic regression model for analysis of mortality (N = 50)
From: Acute kidney injury and the risk of mortality in patients with methanol intoxication
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 |  |  |