Key result
Continuous use of Discharge Readiness Scores yielded the highest discrimination for ICU mortality (AUC 0.94; 95% CI 0.94-0.94) compared to APACHE IV (AUC 0.90) and SOFA (AUC 0.86) models.
Why the study?
Do continuous ICU risk models accurately predict ICU mortality in adult ICU patients?
Cohort (n=561,478)
Yes
Do continuous ICU risk models accurately predict ICU mortality in adult ICU patients?
Continuous use of ICU risk models, particularly Discharge Readiness Scores, provides high discrimination for predicting ICU mortality and can be used for continuous risk adjustment.
Answers are grounded in this paper and cite their sources.
May aid continuous ICU risk adjustment; leaves open whether Discharge Readiness Scores improve outcomes before prospective validation.
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Badawi et al. (2018) conducted a cohort in ICU patients (n=561,478). Continuous ICU risk models (Discharge Readiness Scores, APACHE IV, SOFA) was evaluated on Area under the receiver operating characteristic curve for the mean score with ICU mortality (AUC 0.94 (DRS), 0.90 (APACHE), 0.86 (SOFA), 95% CI 0.94-0.94 (DRS), 0.89-0.90 (APACHE), 0.86-0.86 (SOFA)). Continuous use of Discharge Readiness Scores yielded the highest discrimination for ICU mortality (AUC 0.94; 95% CI 0.94-0.94) compared to APACHE IV (AUC 0.90) and SOFA (AUC 0.86) models.
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