Table 6.
Estimated sensitivity, specificity and AUC from different logistic discriminant models in the training and test datasets.
Covariates | Training set (n = 260)* |
Test set (n = 171)* |
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Sensitivity (95% CI) | Specificity (95% CI) | AUCa (95% CI) | Sensitivity (95% CI) | Specificity (95% CI) | AUCa (95% CI) | |
Log2 IL1-ra, Log2 IL7, Log2 IP10, age group, BMI-for-age z-score (model M1–1) | 70•0 (50•6, 85•3) | 72•1 (65•8, 77•8) | 0•71 (0•62, 0•80) | 76•4 (64•9, 85•6) | 72•8 (62•6, 81•6) | 0•75 (0•68, 0•81) |
Log2 IL1-ra, Log2 IL7, Log2 IP10, age group, BMI-for-age z-score, interaction Log2 IL7 and BMI-for-age (model M1–2) | 70•0 (50•6, 85•3) | 72•5 (66•2, 78•2) | 0•71 (0•62, 0•80) | 75•0 (63•4, 84•5) | 73•9 (63•7, 82•5) | 0•74 (0•68, 0•81) |
Log2 IL1-ra, Log2 IL7, Log2 IP10, age group, BMI-for-age z-score, interaction Log2 IL7and BMI-for-age (model M1–3) | 70•0 (50•6, 85•3) | 72•5 (66•2, 78•2) | 0•71 (0•62, 0•80) | 76•4 (64•9, 85•6) | 72•8 (62•6, 81•6) | 0•75 (0•68, 0•81) |
Log2 IL1-ra, Log2 IL7, Log2 IP10, age group, BMI-for-age z-score, interaction Log2 IP10 and BMI-for-age (model M1–4) | 73•3 (54•1, 87•7) | 73•8 (67•6, 79•4) | 0•74 (0•65, 0•82) | 72•2 (60•4, 82•1) | 75•0 (64•9, 83•4) | 0•74 (0•67, 0•81) |
423 children (training set: 259; test set: 164) ultimately included in the discriminant analyses: six children (training set: 1; test set: 5) had very implausible BMI-for-age z-scores i.e. z-scores ≤ −5 or ≥ 5, and two children in test set had missing BMI-for-age z-scores. aArea under the receiver operator characteristic curve. Age group is a binary variable i.e. < 5 years old and ≥ 5 years old.