Table 4: Results of the multinominal logistic regression analysis.

Predictor	Estimate	SE	Z-value	p-value	Odds ratio
Intercept	8.9516	2.9734	3.0106	0.003	7720.50
Male sex	-0.799	0.9678	-0.8256	0.409	0.45
Higher HbA1c	-0.2415	0.1214	-1.9885	0.047*	0.79
Higher age	-0.0462	0.0381	-1.2151	0.224	0.95
ICU admission	-2.3917	0.7208	-3.3183	<0.001***	0.09
Presence of CAD	-0.2282	0.9428	-0.242	0.809	0.80
Presence of hypertension	-0.4213	0.792	-0.532	0.595	0.66
Presence of CKD	2.3942	2.6927	0.8892	0.374	10.96
High creatinine on admission (serum creatinine >1.2)	-0.763	0.3695	-2.0646	0.039*	0.47

The multinominal logistic regression analysis showing the causal relationship between the outcome and risk factors. Negative coefficients suggest that as the independent variable increases, the dependent variable tends to decrease. Note: Signif. codes: 0 ' *** ' 0.001 ' ** ' 0.01 ' * ' 0.05 '.' 0.1 ' ' 1

CAD = coronary artery disease; CKD = chronic kidney disease; HbA1c = haemoglobin A1C; ICU = intensive care unit; SE = standard error.