Hospital mortality prediction for intermediate care patients: Assessing the generalizability of the Intermediate Care Unit Severity Score (IMCUSS)
- PMID: 29804039
- PMCID: PMC7263171
- DOI: 10.1016/j.jcrc.2018.05.009
Hospital mortality prediction for intermediate care patients: Assessing the generalizability of the Intermediate Care Unit Severity Score (IMCUSS)
Abstract
Purpose: The Intermediate Care Unit Severity Score (IMCUSS) is an easy to calculate predictor of in-hospital death, and the only such tool developed for patients in the intermediate care setting. We sought to examine its external validity.
Materials and methods: Using data from patients admitted to the intermediate care unit (IMCU) of an urban academic medical center from July to December of 2012, model discrimination and calibration for predicting in-hospital death were assessed using the area under the receiver operating characteristic (AUROC) and the Hosmer-Lemeshow goodness-of-fit chi-squared (HL GOF X2) test, respectively. The standardized mortality ratio (SMR) with 95% confidence intervals (95% CI) was also calculated.
Results: The cohort included data from 628 unique admissions to the IMCU. Overall hospital mortality was 8.3%. The median IMCUSS was 10 (Interquartile Range: 0-16), with 229 (36%) patients having a score of zero. The AUROC for the IMCUSS was 0.72 (95% CI: 0.64-0.78), the HL GOF X2 = 30.7 (P < 0.001), and the SMR was 1.22 (95% CI: 0.91-1.60).
Conclusions: The IMCUSS exhibited acceptable discrimination, poor calibration, and underestimated mortality. Other centers should assess the performance of the IMCUSS before adopting its use.
Keywords: Intermediate care; Mortality prediction; Outcome prediction score; Progressive care; Stepdown care.
Copyright © 2018 Elsevier Inc. All rights reserved.
Conflict of interest statement
Conflicts of interest
None.
Financial disclosures
None.
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