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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   
  1. *P < 0.05, **P < 0.01, and ***P < 0.001