Phenotype | Simple linear regression | Multiple linear regression^{a} | ||
---|---|---|---|---|

Regression coefficient (%)^{b} (95% CI^{c}) | P | Regression coefficient (%)^{b} (95% CI) | P | |

hNP-1 (% survival) | 158 (111-229) | 0.01 | 148 (112-197) | 0.007 |

tPMPs (% survival) | 103 (102-105) | <0.001 | 103 (102-105) | <0.001 |

Fibronectin binding (A_{570}) | 11 (0-285) | 0.17 | ||

Endothelial cell binding (% binding) | 102 (92-113) | 0.69 | ||

Biofilm formation (A_{490}) | 185 (88-389) | 0.10 | 191 (111-329) | 0.021 |

↵a Model

*P*value < 0.0001; adjusted*R*^{2}= 0.492.↵b A log transformation was applied to make the outcome more normally distributed. Once the final model was identified, the regression coefficients and their confidence intervals were transformed back. Thus, the coefficients of the models correspond to a multiplicative factor (percentage change) in days of bacteremia associated with a 1-unit change in each predictor variable.

↵c CI, confidence interval.