Table 3.

Logistic regression analysis for prediction of hospital mortality

		Univariable		p	Multivariable		p
		OR	95% CI		OR	95% CI
Hospital mortality	Female	0.86	0.64–1.16	0.318
	Age	1.07	1.05–1.08	< 0.001	1.05	1.03–1.07	< 0.001
	HbA1c%	1.07	0.95–1.21	0.291
	IMV	2.96	2.20–3.99	< 0.001	1.43	0.85–2.40	0.175
	Vasopressor use	3.69	2.71–5.02	< 0.001	1.57	0.94–2.62	0.086
	Cardiovascular	2.63	1.98–3.49	< 0.001	1.19	0.82–1.73	0.365
	Hypertension	1.95	1.45–2.61	< 0.001	1.04	0.71–1.52	0.837
	CKD	2.62	1.89–3.62	< 0.001	1.61	0.76–1.76	0.486
	COPD	2.09	1.43–3.06	< 0.001	1.59	0.98–2.59	0.061
	KDIGO 1	1.81	1.14–2.88	0.012	1.40	0.78–2.51	0.265
	KDIGO 2	2.62	1.49–4.63	< 0.001	2.27	1.15–4.51	0.019
	KDIGO 3	6.33	4.30–9.33	< 0.001	4.31	2.62–7.08	< 0.001
	SAPS 3	1.08	1.07–1.10	< 0.001	1.04	1.03–1.06	< 0.001

IMV invasive mechanical ventilation, COPD chronic obstructive pulmonary disease, CKD chronic kidney disease, KDIGO kidney disease improving global outcomes, SAPS simplified acute physiology score