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. 2012 Jun 12;6(6):e1656. doi: 10.1371/journal.pntd.0001656

Table 2. Logistic regression models to predict antimony treatment failure of ulcerative cutaneous leishmaniasis.

Factor Univariate analysisa OR (95% CI) P-value Multiple-variable analysis 1b OR (95% CI) P-value Multiple-variable analysis 2c OR (95% CI) P-value
Age 0.94 (0.89–0.97) 0.003 0.88 (0.81–0.97) 0.010 0.92 (0.88–0.98) 0.008
Duration of disease 0.99 (0.97–1.00) 0.138 0.97 (0.95–0.99) 0.025 0.97(0.94–0.99) 0.02
high-risk/low risk Activity 0.098 (0.02–0.46) 0.003 0.07 (0.009–0.54) 0.011 0.12(0.02–0.75) 0.02
Number of lesion(s) 0.93 (0.32–2.7) 0.896
Total area of lesion(s)* 0.499 (0.31–0.82) 0.006 0.53 (0.27–1.04) 0.065
Concomitant-distant lesion(s)
No 1 1 1
Yes 4.92 (1.24–19.48) 0.023 30.5 (1.67–558.56) 0.021 6.27(0.96–40.7) 0.054
Leishmania species
L guyanensis 1 1
L braziliensis 5.17 (0.97–27.60) 0.054 25.7 (2.34–282.30)** 0.008
L peruviana 2.93 (0.56–15.19) 0.200 1
a

Odds ratio and its 95% confidence interval of the simple logistic regression in the univariate analysis.

b

Odds ratio and its 95% confidence interval of the multiple logistic regression for the Prognostic Score 1. R2 = 0.54; 85 patients in the model.

c

Odds ratio and its 95% confidence interval of the multiple logistic regression for the Prognostic Score 2 (without inclusion of the Leishmania species). R2 = 0.38; 85 patients in the model.

*: This variable was log-transformed before the analysis.

**: Odds ratio obtained after pooling L. guyanensis and L. peruviana and comparing against L. brasiliensis.