Validation of a Retrospective Computing Model for Mortality Risk in the Intensive Care Unit
| Autor: | Eugene M. Tan, John C. O’Horo, Rahul Kashyap, Ian C. Olson |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
030204 cardiovascular system & hematology Tertiary care law.invention 03 medical and health sciences 0302 clinical medicine Older patients law AUROC area under the receiver operating characteristic curve Medicine 030212 general & internal medicine lcsh:R5-920 Receiver operating characteristic business.industry Mortality rate Retrospective cohort study Intensive care unit ICU intensive care unit APACHE Acute Physiology and Chronic Health Evaluation IMRM Intensive Care Unit Mortality Risk Model Health evaluation Cohort Emergency medicine Original Article lcsh:Medicine (General) business |
| Zdroj: | Mayo Clinic Proceedings: Innovations, Quality & Outcomes Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 4, Iss 5, Pp 575-582 (2020) |
| ISSN: | 2542-4548 |
| Popis: | Objective To compare the predictive performance of Epic Systems Corporation’s proprietary intensive care unit (ICU) mortality risk model (IMRM) with that of the Acute Physiology and Chronic Health Evaluation (APACHE) IV score. Methods This is a retrospective cohort study of patients treated from January 1, 2008, through January 1, 2018. This single-center study was performed at Mayo Clinic (Rochester, MN), a tertiary care teaching and referral center. The primary outcome was death in the ICU. Discrimination of each risk model for hospital mortality was assessed by comparing area under the receiver operating characteristic curve (AUROC). Results The cohort mostly comprised older patients (median age, 64 years) and men (56.7%). The mortality rate of the cohort was 3.5% (2251 of 63,775 patients). The AUROC for mortality prediction was 89.7% (95% CI, 89.5% to 89.9%) for the IMRM, which was significantly greater than the AUROC of 88.2% (95% CI, 87.9% to 88.4%) for APACHE IV (P Conclusion The IMRM was superior to the commonly used APACHE IV score and may be easily integrated into electronic health records at any hospital using Epic software. |
| Databáze: | OpenAIRE |
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