Patients Hospitalized in General Wards via the Emergency Department: Early Identification of Predisposing Factors for Death or Unexpected Intensive Care Unit Admission—A Historical Prospective

Table 5

Comparison of current logistic model with existing scores for the prediction of hospital death.

	AUROC	95% CI	𝑃 for comparison with current model
Current model	0.860	0.846–0.874	—
MEWS [21]	0.675	0.655–0.694	<0.001
Goodacre’s score [22]	0.766	0.748–0.783	<0.001
WPSS [23]	0.610	0.590–0.630	<0.001
REMS [12]	0.740	0.722–0.757	<0.001
RAPS [24]	0.687	0.668–0.706	<0.001

AUROC: area under the receiver operating characteristics curve; CI: confidence interval. We applied the calculation of five published scores developed to predict hospital death in our patients with complete data (2367 (51% of our data set) including 126 hospital deaths (5.3%)) for these calculations: modified early warning system (MEWS) [21], Goodacre’s score [22], worthing physiological scoring system (WPSS) [23], rapid emergency medicine score (REMS) [12], and rapid acute physiology score (RAPS) [24]. Of note, these scores were not initially developed to predict only death not resulting from do-not-resuscitate order.