Table 4.

Logistic regression for ACSC hospitalizations using the number of chronic conditions as the explanatory variable

Independent variable	Sig	Odds ratio	95 % CI
Number of chronic conditions	<0.001	1.35	(1.34-1.35)
Age groups
41 to 45 years	<0.001	.34	(0.32-0.35)
46 to 50 years	<0.001	.42	(0.41-0.43)
51 to 55 years	<0.001	.47	(0.46-0.49)
56 to 60 years	<0.001	.56	(0.54-0.57)
61 to 65 years	<0.001	.60	(0.59-0.61)
66 to 70 years	<0.001	.68	(0.67-0.70)
71 to 75 years	<0.001	.80	(0.79-0.82)
Gender	<0.001	1.23	(1.21-1.24)
Predictive accuracy of the model: 95.4 %
Omnibus tests: p < 0.001
Area under the curve: 0.762