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. 2018 Dec 19;18(3):e299–e303. doi: 10.18295/squmj.2018.18.03.006

Table 2.

Logistic regression model to predict mortality among patients with aluminium phosphide poisoning (N = 116)

Predictor Regression coefficient SE OR (95% CI) P value
Heart rate −0.009 0.050 0.991 (0.899–1.093) 0.860
SBP −0.080 0.037 0.923 (0.859–0.992) 0.029
Glasgow coma score −0.586 0.454 0.557 (0.229–1.355) 0.197
Blood glucose level* 0.012 0.009 1.012 (0.994–1.031) 0.187
Blood glucose alterations 2.036 1.544 7.662 (0.372–157.919) 0.187
Serum creatinine level 0.293 0.594 1.340 (0.418–4.294) 0.623
TLC 0.000 0.000 1.000 (1.000–1.000) 0.913
ABG pH −1.760 3.620 0.172 (0.000–207.369) 0.627
ABG HCO3 −0.045 0.135 0.956 (0.734–1.246) 0.741
Duration of LOS −0.094 0.035 0.910 (0.850–0.976) 0.008

SE = standard error; OR = odds ratio; CI = confidence interval; SBP = systolic blood pressure; TLC = total leukocyte count; ABG = arterial blood gas; HCO3 = bicarbonate; LOS = length of stay.

*

Assessed via random blood glucose tests.

Defined as either hyperglycaemia (random blood glucose levels of >200 mg/dL) or hypoglycaemia (random blood glucose levels of <55 mg/dL).