Literature DB >> 8874299

A comparison of the Acute Physiology and Chronic Health Evaluation (APACHE) II score and the Trauma-Injury Severity Score (TRISS) for outcome assessment in intensive care unit trauma patients.

D T Wong1, P M Barrow, M Gomez, G P McGuire.   

Abstract

OBJECTIVE: To assess the ability of the Acute Physiology and Chronic Health Evaluation (APACHE II) system and Trauma-Injury Severity Scoring (TRISS) system in predicting group mortality in intensive care unit (ICU) trauma patients.
DESIGN: Prospective study.
SETTING: A Canadian adult trauma tertiary referral hospital. PATIENTS: Consecutive trauma patients admitted to the medical-surgical ICU or the neurosurgical ICU. INTERVENTION: None.
MEASUREMENTS AND MAIN RESULTS: For each patient, demographic data, mechanism of injury, and surgical status were collected. Revised Trauma Scores and Injury Severity Scores were calculated from emergency room and operative data. The APACHE II score was calculated based on the data from the first 24 hrs of ICU admission. The probability of death was calculated for each patient based on the APACHE II and TRISS equations. The ability to predict group mortality for APACHE II and TRISS was assessed by receiver operating characteristic curve analysis, two by two decision matrices, and calibration curve analysis. Four hundred seventy trauma patients were admitted to the ICU. Sixty-three (13%) patients died and 407 (87%) survived. There were significant differences between survivors and nonsurvivors in age, Glasgow Coma Scale, Revised Trauma Score, Injury Severity Score, and APACHE II score. By receiver operating characteristic curve analysis, the areas under the curves (+/- SEM) of APACHE II and TRISS were 0.92 +/- 0.02 and 0.89 +/- 0.02, respectively. Using two by two decision matrices with a decision criterion of 0.5, the sensitivities, specificities, and percentages correctly classified were 50.8%, 97.3%, and 91.1%, respectively, for APACHE II, and 50.8%, 97.1%, and 90.9%, respectively, for TRISS. From the calibration curves, the r2 value was .93 (p = .0001) for APACHE II and .67 (p = .004) for TRISS.
CONCLUSIONS: Both APACHE II and TRISS scores were shown to accurately predict group mortality in ICU trauma patients. APACHE II and TRISS may be utilized for quality assurance in ICU trauma patients. However, neither APACHE II nor TRISS provides sufficient confidence for prediction of outcome of individual patients.

Entities:  

Mesh:

Year:  1996        PMID: 8874299     DOI: 10.1097/00003246-199610000-00007

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  13 in total

1.  Rapid imaging protocol in trauma: a whole-body dual-source CT scan.

Authors:  Anto Sedlic; Christina M Chingkoe; David K Tso; Sandro Galea-Soler; Savvas Nicolaou
Journal:  Emerg Radiol       Date:  2013-06-21

2.  Using an Artificial Neural Networks (ANNs) Model for Prediction of Intensive Care Unit (ICU) Outcome and Length of Stay at Hospital in Traumatic Patients.

Authors:  Changiz Gholipour; Fakher Rahim; Abolghasem Fakhree; Behrad Ziapour
Journal:  J Clin Diagn Res       Date:  2015-04-01

3.  Scoring systems in trauma.

Authors:  R Kingston; S J O'Flanagan
Journal:  Ir J Med Sci       Date:  2000 Jul-Sep       Impact factor: 2.089

4.  The ability of two scoring systems to predict in-hospital mortality of patients with moderate and severe traumatic brain injuries in a Moroccan intensive care unit.

Authors:  Hicham Nejmi; Houssam Rebahi; Aziz Ejlaidi; Taoufik Abouelhassan; Mohamed Abdenasser Samkaoui
Journal:  Indian J Crit Care Med       Date:  2014-06

5.  Acute Physiology and Chronic Health Evaluation (APACHE) III Score compared to Trauma-Injury Severity Score (TRISS) in Predicting Mortality of Trauma Patients.

Authors:  Parvin Darbandsar Mazandarani; Kamran Heydari; Hamidreza Hatamabadi; Parvin Kashani; Yasin Jamali Danesh
Journal:  Emerg (Tehran)       Date:  2016

6.  Trauma profile at a tertiary intensive care unit in Saudi Arabia.

Authors:  Abdulaziz S Aldawood; Mohammad Alsultan; Samir Haddad; Saad M Alqahtani; Hani Tamim; Yaseen M Arabi
Journal:  Ann Saudi Med       Date:  2012 Sep-Oct       Impact factor: 1.526

Review 7.  Systematic review of predictive performance of injury severity scoring tools.

Authors:  Hideo Tohira; Ian Jacobs; David Mountain; Nick Gibson; Allen Yeo
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-09-10       Impact factor: 2.953

8.  External validation of a modified model of Acute Physiology and Chronic Health Evaluation (APACHE) II for orthotopic liver transplant patients.

Authors:  Yaseen Arabi; Adnan Abbasi; Radoslaw Goraj; Abdulmajeed Al-Abdulkareem; Abudullah Al Shimemeri; Munci Kalayoglu; Kenneth Wood
Journal:  Crit Care       Date:  2002-04-08       Impact factor: 9.097

9.  Comparison of the acute physiology and chronic health evaluation score (APACHE) II with GCS in predicting hospital mortality of neurosurgical intensive care unit patients.

Authors:  Ali Reza Zali; Amir Saied Seddighi; Afsoun Seddighi; Farzad Ashrafi
Journal:  Glob J Health Sci       Date:  2012-04-28

10.  Association of the Paediatric Admission Quality of Care score with mortality in Kenyan hospitals: a validation study.

Authors:  Charles Opondo; Elizabeth Allen; Jim Todd; Mike English
Journal:  Lancet Glob Health       Date:  2018-02       Impact factor: 26.763

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.