Hospital deaths and adverse events in Brazil

Table 4 Logistic regression for prediction of hospital death: baseline model and final model

Baseline model	β	p-value	Odds ratio	95% CI
Female gender	-0.572	0.018	0.56	0.35	0.91
Age bracket (years)
18-49*		0.000
50-59	0.961	0.011	2.61	1.25	5.47
60-69	1.359	0.000	3.89	1.93	7.85
70-79	1.388	0.000	4.01	1.97	8.13
80-99	2.102	0.000	8.18	3.54	18.90
Primary diagnosis (Charlson index ≥ 1)	0.879	0.000	2.41	1.47	3.94
Secondary diagnoses (Charlson index)
0*		0.009
1	0.476	0.122	1.61	0.88	2.95
2	0.895	0.002	2.45	1.37	4.36
Urgency and emergency admissions	1.750	0.000	5.76	3.12	10.61
Constant	-4.603	0.000	0.01
Final Model	β	p-value	Odds ratio	95% CI
Female gender	-0.662	0.011	0.52	0.31	0.86
Age bracket (years)
18-49*		0.000
50-59	0.993	0.010	2.70	1.26	5.77
60-69	1.115	0.003	3.05	1.45	6.40
70-79	1.178	0.002	3.25	1.53	6.88
80-99	1.879	0.000	6.55	2.63	16.32
Primary diagnosis (Charlson index ≥ 1)	0.859	0.001	2.36	1.40	3.98
Secondary diagnoses (Charlson index)
0*		0.013
1	0.523	0.107	1.69	0.89	3.18
2	0.893	0.004	2.44	1.33	4.49
Urgency and emergency admissions	1.788	0.000	5.98	3.14	11.39
Length of stay	0.008	0.044	1.01	1.00	1.02
Occurrence of adverse event
No*
Yes, non-preventable	1.832	0.001	6.25	2.21	17.70
Yes, preventable	2.108	0.000	8.23	4.02	16.82
Constant	-4.957	0.000	0.01

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