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. 2023 Nov 16;10:1259055. doi: 10.3389/fmed.2023.1259055

Table 3.

Discrimination ability for each score to predict invasive mechanical ventilation applied in the database of COVID-19 patients (complete case analysis) and comparison of the ABC2-SPH and other existing scores.

Scores Number patients Number IMV patients AUROC (95% CI) Brier score p-value1,2
ABC2-SPH (5) 6,849 1,442 (21.0) 0.694 (0.679–0.710) 0.351 -
CALL (17) 537 107 (19.9) 0.664 (0.609–0.720) 0.314 0.246
COVID-IRS (18) 439 90 (20.5) 0.719 (0.659–0.78) 0.394 0.436
CURB-65 (20) 6,642 1,401 (21.0) 0.615 (0.599–0.631) 0.320 <0.001*
PREDI-CO (20) 261 41 (15.7) 0.648 (0.561–0.736) 0.367 0.660
SOFA (21) 2,639 587 (22.2) 0.682 (0.658–0.707) 0.248 0.040
STSS (22) 6,858 1,378 (20.0) 0.642 (0.626–0.658) 0.440 <0.001*
SUM (23) 7,883 1,635 (20.7) 0.662 (0.647–0.677) 0.382 <0.001*
4C Mortality Score (24) 779 175 (22.4) 0.672 (0.628–0.716) 0.388 0.598

1p-value of the comparison between ABC2-SPH and each score. 2Due to the multiple comparisons, alpha was corrected using Bonferroni method, to 0.00625. *ABC2-SPH has higher discrimination ability. AUROC: area under the receiving operator characteristic curve. The main information for each score is shown in Supplementary Table S1. The bold values are to highlight that they are statistically significant.