(2017) Comparison of six outcome prediction models in an adult burn population in a developing country. Ann Burns Fire Disasters. pp. 13-17. ISSN 1592-9558 (Print) 1592-9558
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Comparison of six outcome prediction models in an adult burn population in a developing country [Comparaison de six scores de gravité chez des adultes brûlés dans un pays en développement].pdf Download (739kB) |
Abstract
There are two types of prognostic model - burn-specific and general - to predict mortality risk in burn patients. Most prediction models were devised in developed countries. The aim of this study was to compare the performance of six outcome models in a developing country. In a retrospective cohort study, data of all thermal burned adult patients (age >/= 18 years) admitted to the Burn Intensive Care Unit (BICU) were collected and then the following six prediction models were used to assess each patient: Acute Physiology and Chronic Health Evaluation (APACHE II), Abbreviated Burn Severity Index (ABSI), Belgian Outcome in Burn Injury (BOBI), the Ryan model, revised Baux and FLAMES model. Discriminative ability and goodness-of-fit of the prediction models were determined by receiver operating characteristic curve analysis and Hosmer-Lemeshow tests. We included 238 patients (mean age: 38.3 +/- 18.39 years, average TBSA: 58.27 +/- 24.55) in our study; 172 (72.3) of them were diagnosed with inhalation injury and 178 (72.4) were intubated. Mortality rate was 69.7. Deceased patients had significantly higher mean age, TBSA and number of inhalation injury. The area under the curve of the models was between 64.5 (APACHE II) and 85.9 (ABSI). The best estimation of predicted mortality was obtained with the ABSI model (67.2).
Item Type: | Article |
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Keywords: | ABSI score Apache ii adult burn population developing country outcome prediction models |
Divisions: | |
Page Range: | pp. 13-17 |
Journal or Publication Title: | Ann Burns Fire Disasters |
Journal Index: | Pubmed |
Volume: | 30 |
Number: | 1 |
ISSN: | 1592-9558 (Print) 1592-9558 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/1554 |
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