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. 2023 Jan 18;159(3):337–338. doi: 10.1001/jamadermatol.2022.5978

Table 1. Discrimination Statistics for Published Diagnostic Criteria for Ulcerative Pyoderma Gangrenosuma.

Diagnostic criteria Mean (SE) [95% CI], % AUC (95% CI)b Correctly classified, %
Sensitivity Specificity
Su et al2
Complete case data 86.21 (0.05) [77.33-95.08] 69.57 (0.07) [56.27-82.86] 0.74 (0.67-0.81) 78.21
Imputed case data 86.39 (0.04) [79.32-93.46] 70.41 (0.06) [59.50-81.31] NA 79.41
Delphi3
Complete case data 88.00 (0.05) [78.99-97.01] 90.48 (0.05) [81.60-99.35] 0.89 (0.83-0.94) 89.13
Imputed case data 86.72 (0.05) [77.26-96.18] 90.49 (0.05) [81.10-99.89] NA 89.07
PARACELSUS4
Complete case data 95.89 (0.02) [91.33-100] 4.65 (0.03) [0-10.95] 0.55 (0.48-0.62) 61.02
Imputed case data 91.31 (0.03) [85.48-97.15] 14.36 (0.06) [2.25-26.48] NA 60.36
P valuesc
Su et al vs Delphi .02 <.001 <.001 <.001
Su et al vs PARACELSUS .001 <.001 <.001 <.001
Delphi vs PARACELSUS .001 <.001 <.001 <.001

Abbreviations: AUC, area under receiver operating characteristic curve; NA, not applicable.

a

Case data were considered complete when all information was available to fully score all 3 diagnostic criteria (see eMethods in the Supplement). Missing data were accounted for using the multiple imputation by chained equations framework under both missing completely at random and missing at random assumptions (imputed case data). Cases included the following published diagnostic categories: vascular occlusive or venous, 19; primary infection, 16; cancer, 16; drug-induced or exogenous injury, 7; calciphylaxis, 6; and vasculitis, 5.

b

AUC is a value that measures the overall diagnostic performance of a binary classifier (eg, a set of diagnostic criteria). An AUC value of 0.5 indicates that the diagnostic criteria have no discriminatory ability (random classifier), and an AUC value of 1.0 indicates perfect discriminatory ability (perfect classifier).

c

P values for sensitivity and specificity were calculated with a 2-sided McNemar test. P values for AUCs were calculated using the DeLong nonparametric approach for comparing AUCs under 2 or more receiver operating characteristic curves.