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. 2012 Feb;56(2):1065–1072. doi: 10.1128/AAC.01615-10

Table 3.

Performance of multivariable logistic regression models for clinical and microbiological responses

Model description Variable 1 Variable 2a No. of patients with successful response Total no. of patients Proportion with successful response Avg model-estimated probability of successful response
Model 1 for clinical response AUC0-24:MIC ratio, <0.9 Albumin, <2.6 g/dl 1 7 0.14 0.21
AUC0-24:MIC ratio, <0.9 Albumin, ≥2.6 g/dl 3 4 0.75 0.64
AUC0-24:MIC ratio, ≥0.9 Albumin, <2.6 g/dl 12 21 0.57 0.57
AUC0-24:MIC ratio, ≥0.9 Albumin, ≥2.6 g/dl 27 29 0.93 0.93
Model 2 for microbiological response Non-VAP Albumin, <2.6 g/dl 9 13 0.69 0.67
Non-VAP Albumin, ≥2.6 g/dl 24 25 0.96 0.97
VAP Albumin, <2.6 g/dl 4 15 0.27 0.30
VAP Albumin, ≥2.6 g/dl 7 8 0.88 0.82
Model 3 for microbiological response MIC, <0.5 mg/liter Albumin, <2.6 g/dl 6 12 0.50 0.45
MIC, <0.5 mg/liter Albumin, ≥2.6 g/dl 18 20 0.90 0.93
MIC, 0.5 or 1.0 mg/liter Albumin, <2.6 g/dl 6 9 0.67 0.68
MIC, 0.5 or 1.0 mg/liter Albumin, ≥2.6 g/dl 9 9 1.0 0.99
MIC, >1.0 mg/liter Albumin, <2.6 g/dl 1 7 0.14 0.25
MIC, >1.0 mg/liter Albumin ≥2.6 4 4 1.0 0.82
a

Albumin was evaluated as a two-group variable for descriptive purposes. Final models (described in Table 2) were based on the continuous form of this variable.