Table 5

Binary logistic regression models assessing the probability of readmission

Variablep ValueOR (95% CI)AUC (95% CI); R2
Model 1: LACE score only
 LACE score<0.00011.42 (1.41 to 1.43)AUC=0.773 (0.768 to 0.779); R2=0.180
Model 2: all variables from univariate analysis
 Age<0.00011.01 (1.01 to 1.02)AUC=0.820 (0.815 to 0.825); R2=0.240
 Gender (female)<0.00010.90 (0.85 to 0.95)
 Length of stay<0.00010.98 (0.98 to 0.99)
 Admission type (emergency)<0.00014.18 (3.77 to 4.64)
 Comorbidity score<0.00010.96 (0.94 to 0.98)
 A&E visits in the previous 6 months<0.00011.12 (1.11 to 1.13)
 LACE score<0.00011.23 (1.21 to 1.25)
 Episodes per patient<0.00011.07 (1.06 to 1.07)
Model 3: four components of the LACE index
 Length of stay<0.00011.02 (1.01 to 1.03)AUC=0.806 (0.801 to 0.812); R2=0.193
 Admission type (emergency)<0.00014.79 (4.40 to 5.22)
 Comorbidity score<0.00011.30 (1.26 to 1.33)
 A&E visits in the previous 6 months<0.00011.28 (1.27 to 1.29)
Model 4: reduced complexity model
 A&E visits in the previous 6 months<0.00011.36 (1.35 to 1.38)AUC=0.815 (0.810 to 0.819); R2=0.130
 Episodes per patient in the previous year<0.00011.03 (1.02 to 1.04)
  • A&E, accident and emergency; AUC, area under the receiver operating characteristic curve.