Table 2.

Multivariable Analyses for Factors Associated with Survival to Discharge

Analysis for Patient and Hospital Factors*
Predictor	Adjusted Odds Ratio	95% CI	p-value
Age	0.971	0.970 to 0.972	< 0.001
Male sex	0.837	0.823 to 0.852	< 0.001
Race
White	Referent	--	--
Black	0.701	0.674 to 0.729	< 0.001
All Other Races	0.852	0.815 to 0.891	< 0.001
Deyo-Charlson score†	0.927	0.919 to 0.935	< 0.001
Admission from SNF‡	0.603	0.539 to 0.674	< 0.001
Rural Hospital	1.133	1.085 to 1.184	0.001
No. of Hospital Beds§	0.975	0.965 to 0.985	<0.001
Cared for at Teaching Hospital	1.002	0.974 to 1.073	0.379
Analysis After Adjustment for Hospital where CPR was performedΔ
Predictor	Adjusted Odds Ratio	95% CI	p-value
Age	0.972	0.971 to 0.973	< 0.001
Male sex	0.829	0.815 to 0.843	< 0.001
Race
White	Referent	--	--
Black	0.764	0.741 to 0.788	< 0.001
All Other Races	0.917	0.877 to 0.959	< 0.001
Deyo-Charlson score†	0.930	0.922 to 0.938	< 0.001
Admission from SNF‡	0.690	0.646 to 0.738	< 0.001

^*Multivariable logistic regression with empirical standard error estimates, accounting for clustering within hospital

^†OR is that seen when increasing from one category of Deyo-Charlson (0, 1, 2, or ≥3) score to the next

^‡Skilled nursing facility

^§OR for every 100 additional hospital beds.

^ΔLogistic regression modeling survival to discharge and including an indicator variable for each of the 6,033 hospitals at which patients received CPR