Table 4.

Best Cut-Points

VariableCut-PointSensitivitySpecificityUnadjusted
Odds Ratio
Adjusted
Odds Ratio
ANC (×1000 cells/mm3)9.46.76.769.868.77 (4.26,18.05)*
WBC (×1000 cells/mm3)14.30.76.759.506.24 (2.92,13.35)
PMN (%)59.00.64.653.271.89 (.94,3.82)
Temperature (°C)39.60.57.591.871.50 (.67,2.57)§
1.19 (.61,2.34)
  • The cut-points of each predictor that simultaneously maximize sensitivity and specificity are displayed, along with the unadjusted and adjusted odds ratios.

  • * Adjusted for temperature and gender in a logistic regression model.

  • Adjusted for temperature, gender, and PMN in a logistic regression model.

  • Adjusted for temperature, gender, and WBC in a logistic regression model.

  • § Adjusted for WBC, gender, and PMN in a logistic regression model.

  • Adjusted for ANC and gender in a logistic regression model.