Table 2.
Log linear regression models with the natural logarithm of estimated days to initiation of appropriate antibiotic treatment as the dependent variable and select demographic and clinical factors as the independent variables
| Unadjusted | Adjusted | |||
|---|---|---|---|---|
| Independent variables | Estimated coefficient (95% CI) | P value | Estimated coefficient (95% CI) | P value |
| EM First | −0.26 (−0.45, −0.06) | 0.011 | −0.25 (−0.44, −0.06) | 0.012 |
| Education (1 year) | −0.03 (−0.07, 0.00) | 0.076 | −0.04 (−0.07, 0.00) | 0.048 |
| Age (10 years) | 0.06 (0.00, 0.12) | 0.068 | 0.06 (0.00, 0.12) | 0.063 |
| EM central clearing | −0.21 (−0.42, −0.01) | 0.039 | −0.15 (−0.35, 0.06) | 0.162 |
| Male sex | −0.06 (−0.27, 0.15) | 0.587 | N/A | – |
| Non-Hispanic White | −0.14 (−0.60, 0.31) | 0.542 | N/A | – |
| Noticed or removed tick | −0.20 (−0.50, 0.10) | 0.182 | N/A | – |
EM = erythema migrans. One participant (0.4%) missed years of education. Fourteen (5.2%) were not asked whether they had noticed or removed the tick that caused their illness. Two outliers with 0 days to initiation of antibiotic treatment were removed from all models because a natural log could not be calculated. The final adjusted model included data from 268 participants and had an adjusted R2 of 0.05. N/A = P value > 0.15 in unadjusted models and not included in adjusted models.