Table 4 Derivation and validation of logistic regression models of the fourfold cross-validation process
Fold 1 | Fold 2 | Fold 3 | Fold 4 | |
|---|---|---|---|---|
Derivation set size (n) | 10,272,021 | 10,269,926 | 10,271,579 | 10,272,824 |
Validation set size (n) | 3,423,429 | 3,425,524 | 3,423,871 | 3,422,626 |
Regression coefficients | ||||
Intercept | -2.593 | -2.532 | -2.565 | -2.541 |
Age score | 0.307 | 0.308 | 0.308 | 0.308 |
MEWSa | 0.608 | 0.606 | 0.608 | 0.609 |
ICESSb | -6.385 | -6.447 | -6.413 | -6.461 |
Youden’s threshold | -5.900 | -5.874 | -5.869 | -5.916 |
AUROCc | 0.975 (0.974—0.976) | 0.974 (0.973—0.976) | 0.975 (0.973—0.976) | 0.973 (0.972—0.975) |
AUPRCd | 0.741 (0.739—0.753) | 0.738 (0.734—0.749) | 0.746 (0.742—0.757) | 0.735 (0.732—0.746) |
True positive (n) | 11,351 | 11,237 | 11,294 | 11,551 |
False positive (n) | 201,366 | 192,619 | 192,770 | 200,229 |
True negative (n) | 3,209,396 | 3,220,223 | 3,218,434 | 3,209,427 |
False negative (n) | 1316 | 1445 | 1373 | 1419 |
Accuracy | 0.941 (0.940—0.944) | 0.943 (0.940—0.945) | 0.943 (0.941—0.944) | 0.941 (0.940—0.943) |
Sensitivity | 0.896 (0.890—0.090) | 0.886059 (0.882—0.893) | 0.8916081 (0.887—0.899) | 0.8905937 (0.885—0.896) |
Specificity | 0.942 (0.941—0.944) | 0.944 (0.941—0.945) | 0.943 (0.941—0.944) | 0.941 (0.940–0.944) |