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. 2018 Dec 2;8(11):bmjopen-2017-020337. doi: 10.1136/bmjopen-2017-020337

Table 5.

Model comparisons

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.