Table 3.
Probability of Genomic Clustering of 60 USA300 Isolates as Defined by Whole-Genome Sequencing According to Community- and Healthcare-Related Factors
| Factor | Probability of Clusters by Factor |
|---|---|
| Epidemiologic classification of bacteremia (CO vs HA) | 0.827 |
| Community factors | |
| Sex | 0.579 |
| Race | 0.007 |
| Ethnicity | 0.011 |
| Current illicit drug use | 0.678 |
| Current incarceration | 0.718 |
| Currently in unstable housinga | 0.636 |
| Healthcare factors | |
| Year of bloodstream infection | 0.325 |
| Hospitalized in the prior 3 months | 0.739 |
| Malignancy | 0.633 |
| Hemodialysis | 0.330 |
| Length of stay | 0.827 |
| Admission to the intensive care unit | 0.575 |
Clustering was defined as containing >1 USA300 isolate with a common epidemiologic factor.
Abbreviations: CO, community-onset; HA, hospital-onset.
aUnstable housing was defined as currently being homeless, living in a homeless shelter, living in a substance abuse center, living in subsidized housing, or staying in homes of friends. When we tested by type of unstable housing, the probability was 0.682.