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. 2015 Dec 15;12(12):e1001922. doi: 10.1371/journal.pmed.1001922

Table 4. Multivariable proportional hazards regression models of 1-y mortality.

Variable Model 1 Model 2
aHR 95% CI p-Value aHR 95% CI p-Value*
Outpatient IV support 0.73
H-OPAT 1.00 (ref) 1.00 (ref)
S- OPAT 0.94 0.45–1.96 0.87 0.86 0.37–2.00
Healthcare funding source <0.001
Medicare, Medicaid, private, charity 1.00 (ref) 1.00 (ref)
Self-pay 4.23 2.47–7.23 <0.001 5.48 3.09–9.73
Race/ethnicity 0.01
White, black, other 1.00 (ref) 1.00 (ref)
Hispanic 1.69 1.00–2.85 0.05 1.94 1.14–3.31
Diabetes mellitus 0.01
No 1.00 (ref) 1.00 (ref)
Yes 0.06 0.01–0.46 0.006 0.08 0.01–0.60
Age 0.002
<65 y 1.00 (ref) 1.00 (ref)
≥65 y 2.71 1.56–4.71 <0.001 2.48 1.41–4.37
Propensity score (quintiles) 0.008
1 1.00 (ref)
2 2.47 0.15–1.08 0.07
3 1.31 0.26–2.28 0.63
4 1.20 0.27–2.58 0.75
5 0.44 0.59–8.70 0.24

Model 1 controls for confounding with covariates; model 2 controls and for confounding with covariates and for selection bias with the propensity score.

*The p-values for the main category terms are the effects from the type 3 tests, and those for the individual category terms are the maximum likelihood estimates, all based on a sample size of 1,168.

Replication of the two models with multiple logistic regression analysis gave similar results for all estimates; specifically, the odds ratio for S-OPAT was 1.09 (95% CI 0.50–2.39) for model 1 and 1.05 (95% CI 0.43–2.55) for model 2.

Reanalysis after excluding patients in quintiles 4 and 5 of the propensity score gave an aHR for S-OPAT of 0.82 (95% CI 0.35–1.91; p = 0.64). When the continuous propensity score was used in the model as a quadratic effect, the aHR for S-OPAT was 0.91 (95% CI 0.40–2.03; p = 0.81).

ref, referent category.