Table 5.
AIC | Deviance | AUC (CI) or R2 for linear regression |
LR (df), p value | NRI (SE), p value | IDI (SE), p value | |
Acuity increase: logistic regressions | ||||||
Outcome 1—predictor set a | 348 | 356 | 0.55 (0.48 to 0.62) | |||
Outcome 1—predictor set b | 343 | 353 | 0.61 (0.54 to 0.69) | 5 (1), 0.033 | 0.3 (0.1), 0.007 | 0.017 (0.009), 0.058 |
Outcome 1—predictor set c | 317 | 331 | 0.69 (0.63 to 0.76) | 14 (2), 0.001* | 0.4 (0.1), 0.0004* | 0.05 (0.01), 0.0009* |
Deterioration event: logistic regressions | ||||||
Outcome 2—predictor set a | 199 | 207 | 0.57 (0.47 to 0.68) | |||
Outcome 2—predictor set b | 192 | 202 | 0.65 (0.54 to 0.76) | 7 (1), 0.007 | 0.4 (0.2), 0.003 | 0.04 (0.02), 0.10 |
Outcome 2—predictor set c | 177 | 193 | 0.73 (0.63 to 0.84) | 15 (3), 0.0019* | 0.5 (0.2), 0.012* | 0.06 (0.02), 0.0004* |
Length of stay: linear regressions (LR) | ||||||
Outcome 3—predictor set a | 77 | −381 | 0.03 | |||
Outcome 3—predictor set b | 68 | −417 | 0.14 | 9 (1), <0.001 | ||
Outcome 3—predictor set c | 67 | −420 | 0.16 | 1 (1), 0.026 |
Outcomes 1, 2 and 3 refer to acuity increase, deterioration event and length of stay, respectively. The predictors are set a, NEWS alone; set b, NEWS and MR-proADM; and set c, NEWS, MR-proADM and other significant predictors and interactions detailed in Table 3.
*Comparison is between predictor set b and c. Since there was a mismatch between the cases for predictor set a and b (10 missing values in chronic obstructive pulmonary disease/heart failure), in the model with predictors set b, the 10 cases missing in predictor set c were dropped to allow the comparison.
AIC, Akaike information criterion; AUC, area under the receiver operating characteristic curve; IDI, integrated discrimination improvement; LR, likelihood ratio; MR-proADM, mid-regional pro-adrenomedullin; NEWS, National Early Warning Score; NRI, net reclassification improvement.