Table 3.
Factors associated with praziquantel cure failure
| Variable | OR | 95% CI | P-values | aOR | 95% CI | P-values |
|---|---|---|---|---|---|---|
| Sex | ||||||
| Female | 1 | 0.87 | 1 | |||
| Male | 0.97 | 0.69–1.37 | 0.98 | 0.68–1.39 | 0.89 | |
| Age group | ||||||
| 21–30 | 0.94 | 0.51–1.73 | 0.84 | 0.93 | 0.50–1.71 | 0.81 |
| 31–40 | 1.09 | 0.59–2.05 | 0.78 | 1.08 | 0.58–2.02 | 0.82 |
| 41–50 | 0.65 | 0.31–1.33 | 0.24 | 0.65 | 0.31–1.34 | 0.24 |
| 51–60 | 1 | 1 | ||||
| Occupation | ||||||
| SME* | 1 | ---- | ---- | ----- | ||
| Peasants | 0.81 | 0.48–1.38 | 0.45 | ---- | ---- | ----- |
| Fishing | 0.83 | 0.45–1.55 | 0.56 | ---- | ---- | ----- |
| Village of residence | ||||||
| Igombe | 1 | ---- | ---- | ----- | ||
| Igalagala | 1.21 | 0.70–2.10 | 0.49 | ---- | ---- | ----- |
| Kayenze | 0.84 | 0.53–1.34 | 0.47 | ---- | ---- | ----- |
| Sangabuye | 0.79 | 0.47–1.35 | 0.40 | ---- | ---- | ----- |
| HIV-1 serostatus | ||||||
| Negative | 1 | 1 | ||||
| Positive | 1.79 | 0.85–3.78 | 0.13 | 1.72 | 0.69–1.39 | 0.89 |
| CD4+ counts (cells/μL) | ||||||
| <350 | 1 | ---- | ---- | ----- | ||
| ≥350 | 0.38 | 0.08–1.84 | 0.23 | ---- | ---- | ----- |
| S. mansoni intensity of infection | ||||||
| Light | 1 | ---- | ---- | ----- | ||
| Moderate | 0.85 | 0.56–1.29 | 0.45 | ---- | ---- | ----- |
| Heavy | 1.06 | 0.70–1.59 | 0.79 | ---- | ---- | ----- |
*SME-Small business scale, OR = Odd Ratio aOR = Adjusted Odd Ratio.