Socioeconomic gradients in admission to coronary or intensive care units among Australians presenting with non-traumatic chest pain in emergency departments

Table 3 Multivariable regressions^b investigating risk of admission to a coronary care unit or intensive care unit among patients presenting with non-traumatic chest pain in emergency departments: 2009–2013

Model^a	Covariates	Adjusted-OR	95% CI	P value
1	Age (continuous)	1.00	1.00–1.01	< 0.001
	Female sex	0.58	0.54–0.61	< 0.001
	Relative index of SES inequality quintiles
	1st quintile (Highest SES)	1.00
	2nd quintile	1.10	0.99–1.22	0.054
	3rd quintile	1.14	1.02–1.26	0.017
	4th quintile	1.24	1.12–1.36	< 0.001
	5th quintile (Lowest SES)	1.33	1.21–1.47	< 0.001
	Testing linear trends for RII: Likelihood ratio test Chi-square = 0.6, p = 0.897
2	Age (continuous)	1.00	1.00–1.01	< 0.001
	Female sex	0.61	0.57–0.64	< 0.001
	Relative index of SES inequality quintiles
	1st quintile (Highest SES)	1.00
	2nd quintile	1.07	0.99–1.17	0.1
	3rd quintile	1.07	0.97–1.16	0.2
	4th quintile	1.18	1.08–1.28	< 0.001
	5th quintile (Lowest SES)	1.27	1.17–1.39	< 0.001

^a Model 1: Logistic regression that modelled risk of admission to CCU or ICU on first presentation
Model 2: Generalized Estimating Equations regression that modelled risk of admission to CCU or ICU including all repeated presentations during study five-year period
^b Both multivariable models were also accounted for: region of birth, language spoken at home, mode of arrival, time of arrival, hospital type, nurse triage urgency score, symptoms on arrival, length of stay in the ED, and main acute admission diagnosis

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