Table 2.
Multivariable Logistic Regression Model Assessing Factors Associated With Receipt of Echinocandin Versus Fluconazole for Initial Treatment of Adult Candidemia Patients (N = 1801)—9 Surveillance Sites, United States, 2017–2018
| Characteristic | Adjusted Odds Ratio | 95% Confidence Interval | PValue |
|---|---|---|---|
| Age group, y | .4062 | ||
| 18–44 (referent) | 1.00 | … | |
| 45–64 | .92 | .69–1.21 | |
| ≥65 | .83 | .63–1.10 | |
| Cirrhosis | 2.06 | 1.29–3.29 | .0026 |
| Hospitalized within 90 d before diagnosis | .80 | .65–.98 | .0332 |
| Surveillance site a | <.0001 | ||
| California | 2.08 | 1.31–3.30 | |
| Colorado | 2.06 | 1.35–3.15 | |
| Georgia | 1.46 | 1.07–2.01 | |
| Maryland | 3.09 | 2.09–4.57 | |
| Minnesota | 2.11 | 1.42–3.14 | |
| New Mexico | .96 | .48–1.89 | |
| New York | 1.64 | .95–2.83 | |
| Oregon | 1.15 | .72–1.84 | |
| Tennessee (referent)b | 1.00 | … |
The Emerging Infections Program conducted surveillance in select counties in each of these states.
Tennessee was chosen as the referent group because patients from this site had the lowest odds of receiving an echinocandin versus fluconazole in unadjusted odds ratios.