Literature DB >> 33827776

Comparison of Intensive Care and Trauma-specific Scoring Systems in Critically Ill Patients.

F Magee1, A Wilson2, M Bailey3, D Pilcher4, B Gabbe5, R Bellomo6.   

Abstract

INTRODUCTION: Amongst critically ill trauma patients admitted to ICU and still alive and in ICU after 24 hours, it is unclear which trauma scoring system offers the best performance in predicting in-hospital mortality.
METHODS: The Australia and New Zealand Intensive Care Society Adult Patient Database and Victorian State Trauma Registry were linked using a unique patient identification number. Six scoring systems were evaluated: the Australian and New Zealand Risk of Death (ANZROD), Acute Physiology and Chronic Health Evaluation III (APACHE III) score and associated APACHE III Risk of Death (ROD), Trauma and Injury Severity Score (TRISS), Injury Severity Score (ISS), New Injury Severity Score (NISS) and the Revised Trauma Score (RTS). Patients who were admitted to ICU for longer than 24 hours were analysed. Performance of each scoring system was assessed primarily by examining the area under the receiver operating characteristic curve (AUROC) and in addition using standardised mortality ratios, Brier score and Hosmer-Lemeshow C statistics where appropriate. Subgroup assessments were made for patients aged 65 years and older, patients between 18 and 40 years of age, major trauma centre and head injury.
RESULTS: Overall, 5,237 major trauma patients who were still alive and in ICU after 24 hours were studied from 25 ICUs in Victoria, Australia between July 2008 and January 2018. Hospital mortality was 10.7%. ANZROD (AUROC 0.91; 95% CI 0.90-0.92), APACHE III ROD (AUROC 0.88; 95% CI 0.87-0.90), and APACHE III (AUROC 0.88; 95% CI 0.87-0.89) were the best performing tools for predicting hospital mortality. TRISS had acceptable overall performance (AUROC 0.78; 95% CI 0.76-0.80) while ISS (AUROC 0.61; 95% CI 0.59-0.64), NISS (AUROC 0.68; 95% CI 0.65-0.70) and RTS (AUROC 0.69; 95% CI 0.67-0.72) performed poorly. The performance of each scoring system was highest in younger adults and poorest in older adults.
CONCLUSION: In ICU patients admitted with a trauma diagnosis and still alive and in ICU after 24 hours, ANZROD and APACHE III had a superior performance when compared with traditional trauma-specific scoring systems in predicting hospital mortality. This was observed both overall and in each of the subgroup analyses. The anatomical scoring systems all performed poorly in the ICU population of Victoria, Australia.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  ANZROD; APACHE; Critical Care; Trauma; database; injury; intensive care; scoring systems

Year:  2021        PMID: 33827776     DOI: 10.1016/j.injury.2021.03.049

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  3 in total

1.  Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

Authors:  Zongyang Mou; Laura N Godat; Robert El-Kareh; Allison E Berndtson; Jay J Doucet; Todd W Costantini
Journal:  J Trauma Acute Care Surg       Date:  2022-01-01       Impact factor: 3.697

2.  The Added Value of Serum Random Cortisol and Thyroid Function Tests as Mortality Predictors for Critically Ill Patients: A Prospective Cohort Study.

Authors:  Narakorn Muentabutr; Worapaka Manosroi; Nutchanok Niyatiwatchanchai
Journal:  J Clin Med       Date:  2022-10-08       Impact factor: 4.964

3.  Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE.

Authors:  Luis Serviá; Juan Antonio Llompart-Pou; Mario Chico-Fernández; Neus Montserrat; Mariona Badia; Jesús Abelardo Barea-Mendoza; María Ángeles Ballesteros-Sanz; Javier Trujillano
Journal:  Crit Care       Date:  2021-12-07       Impact factor: 9.097

  3 in total

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