Volume 24, Number 11—November 2018
Synopsis
Epidemiology of Buruli Ulcer Infections, Victoria, Australia, 2011–2016
Table 3
Logistic regression model showing adjusted and unadjusted associations between identified factors and severe Buruli ulcer disease, Victoria, Australia, 2011–2016*
Factor |
Disease severity, no. (%) patients† | Univariate model | Multivariate model | |||||
---|---|---|---|---|---|---|---|---|
Category I |
Categories II and III |
OR (95% CI) |
p value |
aOR (95% CI) |
p value |
|||
Age, y | ||||||||
<60 | 257 (83.4) | 51 (16.6) | 1.00 | |||||
>60 |
158 (73.5) |
57 (26.5) |
1.82 (1.19–2.79) |
0.006 |
2.19 (1.38–3.47) |
0.001 |
||
Sex | ||||||||
F | 189 (82.9) | 39 (17.1) | 1.00 | |||||
M |
226 (76.6) |
69 (23.4) |
1.48 (0.96–2.29) |
0.079 |
1.36 (0.85–2.16) |
0.199 |
||
Residence | ||||||||
Resident | 251 (82.3) | 54 (17.7) | 1.00 | |||||
Visitor | 156 (75.0) | 52 (25.0) | 1.55 (1.01–2.38) | 0.046 | 1.87 (1.16–3.02) | 0.01 | ||
Unclear |
8 (80.0) |
2 (20.0) |
1.16 (0.24–5.63) |
0.852 |
NC |
|||
Exposure | ||||||||
Bellarine Peninsula | 166 (83.8) | 32 (16.2) | 1.00 | |||||
Mornington Peninsula | 171 (77.4) | 50 (22.6) | 1.52 (0.93–2.48) | 0.097 | 1.35 (0.81–2.24) | 0.244 | ||
Other |
52 (75.4) |
17 (24.6) |
1.70 (0.87–3.30) |
0.120 |
2.00 (0.87–3.94) |
0.056 |
||
Time to diagnosis, d‡ | 1.002 (0.999–1.005) | 0.254 |
*aOR, adjusted odds ratio; NC, not calculable because there were no data; OR, odds ratio.
†Severe disease is defined as World Health Organization category II or III.
‡Not included in the logistic regression model because it did not meet the prespecified threshold for significance of p<0.2.
1Joint senior authors.