TABLE 1

Regression model results showing the association between numbers of VFs and log SCC and inflammation severity

VF gene typeNo. of VF
genes
Linear regressionaLogistic regressionb
CoefficientStandard
error
P valueCoefficientStandard
error
P value
Adherence280.0670.0360.065−0.0200.0390.607
Exoenzyme210.0980.0550.0780.0760.0600.199
Host immune evasion200.0450.0230.0540.0740.0250.003
Iron uptake290.0110.0290.714−0.0060.0310.858
Toxin930.0670.0340.0450.0190.0400.638
Total1910.0240.0100.0170.0150.0110.168
  • a Mixed-effects linear regression using log SCC as the outcome. The coefficient represents the increase in log SCC (log number of cells/milliliter) for each additional VF detected.

  • b Mixed-effects ordinal logistic regression using inflammation severity as the outcome (measured as low, medium, and high SCC and clinical mastitis in order of increasing severity). The coefficient represents the increase in odds of the inflammation being more severe for each additional VF detected.