Literature DB >> 27104105

Predicting Mortality in Severe Burns-What Is the Score?: Evaluation and Comparison of 4 Mortality Prediction Scores in an Irish Population.

Jack F C Woods1, C S Quinlan1, O P Shelley1.   

Abstract

Entities:  

Year:  2016        PMID: 27104105      PMCID: PMC4801096          DOI: 10.1097/GOX.0000000000000584

Source DB:  PubMed          Journal:  Plast Reconstr Surg Glob Open        ISSN: 2169-7574


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INTRODUCTION

Severe burns present a significant clinical challenge and are resource intensive. Predicting mortality at admission for burn patients is useful in determining the likely outcomes of interventions and in stratifying levels of care. In addition, it can provide benchmarks for audit and research. More than 45 composite models exist for the prediction of mortality in thermal injury, of which only a handful have been developed with methodological rigor.[1] The 4 most routinely used are the Revised Baux score,[2] the Belgian Outcome in Burn Injury score,[3] Boston score,[4] and Abbreviated Burn Severity Index (ABSI).[5] Our aim was to validate and compare the utility of these scoring systems in an Irish population.

MATERIALS AND METHODS

All acute admissions to the national burns unit of the Republic of Ireland from 2010 to 2014 were included, and a database including relevant admission and outcome information was collated. Predicted mortality was calculated using the Belgian, Boston, ABSI, and Revised Baux scores, with a nomogram being used for the Revised Baux score.[6] Predicted mortality was compared with observed mortality for each scoring system. Predictive accuracy was assessed using a receiver operating characteristics curve, and positive and negative predictive values were calculated.

RESULTS

Demographic data can be seen in Table 1. Mortality was found to be 5.4% (31/573) over the study period. A total of 122 burns had a ≥10% total body surface area thermal injury. The mean age of this group was 53.31 years, with a mean total body surface area of 25.21% (range, 10–90%) and an inhalational injury rate of 50% (n = 61).
Table 1.

Demographic Data for Burn Injury Admissions in National Burns Unit of Ireland

Demographic Data for Burn Injury Admissions in National Burns Unit of Ireland All 4 mortality prediction scores proved to be valid in our group (area under receiver operating characteristics curve > 0.80). The Revised Baux score performed the best, with an area under receiver operating characteristics curve of 0.925 (Fig. 1; Table 2). The observed deaths in our group were 28. The Belgian Outcome in Burn Injury score was the most accurate at predicting deaths in our group, with 27.33 deaths predicted. The Revised Baux score predicted 30.67 deaths.
Fig. 1.

Receiver operating characteristics curves for mortality prediction scores. rBaux indicates revised Baux.

Table 2.

Area under the Receiver Operating Characteristics Curve for Mortality Prediction Scores

Area under the Receiver Operating Characteristics Curve for Mortality Prediction Scores Receiver operating characteristics curves for mortality prediction scores. rBaux indicates revised Baux. To be a useful model, the score must have both high negative and positive predictive values. The Revised Baux score and Belgian score performed best in this respect (Table 3). The ABSI had the highest negative predictive value of 99.75%; however, it had a low positive predictive value of 66.08%, significantly overpredicting the mortality rate, whereas the Boston score underpredicted mortality with the lowest negative predictive value of 89.21%.
Table 3.

Negative and Positive Predictive Values for Mortality Prediction Scores

Negative and Positive Predictive Values for Mortality Prediction Scores

DISCUSSION

Predicting mortality at admission in severe burns is a useful clinical adjunct. Several different scoring systems have been developed, and this indicates the complexity in calculating such a prediction. In reality, the use of only 1 or 2 of these tools should be necessary for clinical practice and research. The 4 evaluated scoring systems in this study proved to be valid in an Irish population. The most accurate, reliable, and, therefore, useful predictors of mortality were considered to be the Revised Baux score and the Belgian Outcome in Burn Injury scoring system. This compares favorably with other research, which has shown that the Belgian Outcome in Burn Injury score and the Revised Baux score seem to be particularly useful in predicting mortality in thermal injury.[7,8]
  8 in total

1.  Development and validation of a model for prediction of mortality in patients with acute burn injury.

Authors: 
Journal:  Br J Surg       Date:  2009-01       Impact factor: 6.939

2.  Simplified estimates of the probability of death after burn injuries: extending and updating the baux score.

Authors:  Turner Osler; Laurent G Glance; David W Hosmer
Journal:  J Trauma       Date:  2010-03

3.  Objective estimates of the probability of death from burn injuries.

Authors:  C M Ryan; D A Schoenfeld; W P Thorpe; R L Sheridan; E H Cassem; R G Tompkins
Journal:  N Engl J Med       Date:  1998-02-05       Impact factor: 91.245

4.  Comparison of mortality prediction models in burns ICU patients in Pinderfields Hospital over 3 years.

Authors:  Helen E Douglas; Andrew Ratcliffe; Rajdeep Sandhu; Umair Anwar
Journal:  Burns       Date:  2014-06-27       Impact factor: 2.744

5.  Assessment of mortality prediction models in a Ghanaian burn population.

Authors:  N Brusselaers; P Agbenorku; P E Hoyte-Williams
Journal:  Burns       Date:  2012-11-10       Impact factor: 2.744

6.  Prediction of burn mortality.

Authors:  J Tobiasen; J H Hiebert; R F Edlich
Journal:  Surg Gynecol Obstet       Date:  1982-05

Review 7.  Predicting survival in thermal injury: a systematic review of methodology of composite prediction models.

Authors:  Amer Hussain; Fouzia Choukairi; Ken Dunn
Journal:  Burns       Date:  2013-02-04       Impact factor: 2.744

8.  A nomogram for calculation of the Revised Baux Score.

Authors:  D J Williams; J D Walker
Journal:  Burns       Date:  2014-06-14       Impact factor: 2.744

  8 in total
  10 in total

1.  Prognostic Values of Platelet Distribution Width and Platelet Distribution Width-to-Platelet Ratio in Severe Burns.

Authors:  Jian-Chang Lin; Guo-Hua Wu; Jian-Jun Zheng; Zhao-Hong Chen; Xiao-Dong Chen
Journal:  Shock       Date:  2022-04-01       Impact factor: 3.454

2.  A comparison of injury scoring systems in predicting burn mortality.

Authors:  B Halgas; C Bay; K Foster
Journal:  Ann Burns Fire Disasters       Date:  2018-06-30

3.  A Systematic Review and Meta-Analysis of Extracorporeal Membrane Oxygenation in Patients with Burns.

Authors:  Yu-Jen Chiu; Yu-Chen Huang; Tai-Wei Chen; Yih-An King; Hsu Ma
Journal:  Plast Reconstr Surg       Date:  2022-04-15       Impact factor: 5.169

Review 4.  Palliation, end-of-life care and burns; concepts, decision-making and communication - A narrative review.

Authors:  Daan den Hollander; Rene Albertyn; Julia Amber
Journal:  Afr J Emerg Med       Date:  2020-02-09

5.  Multi-institutional analysis of independent predictors for burn mortality in the United States.

Authors:  Dmitry Zavlin; Vishwanath Chegireddy; Stefanos Boukovalas; Anna M Nia; Ludwik K Branski; Jeffrey D Friedman; Anthony Echo
Journal:  Burns Trauma       Date:  2018-08-22

6.  Candidemia in pediatric burn patients: Risk factors and outcomes in a retrospective cohort study.

Authors:  Behnam Sobouti; Mostafa Dahmardehei; Shahrzad Fallah; Majid Karrobi; Yaser Ghavami; Reza Vaghardoost
Journal:  Curr Med Mycol       Date:  2020-09

7.  A proof-of-concept study on mortality prediction with machine learning algorithms using burn intensive care data.

Authors:  Jian Fransén; Johan Lundin; Filip Fredén; Fredrik Huss
Journal:  Scars Burn Heal       Date:  2022-02-18

8.  Survival From Ninety-Five Percent Total Body Surface Area Burn: A Case Report and Literature Review.

Authors:  Maisa A AlAlwan; Hussain A Almomin; Shashank D Shringarpure; Nazia U Habiba; Abdulraheim H Albess; Ayyappan Thangavel; Nabil N Youssef; Faisal A Al Jabr; Aqeel H Alrashid; Rayan A Buhalim; Fahad K Almulhim
Journal:  Cureus       Date:  2022-02-04

9.  Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients.

Authors:  Doha Obed; Mustafa Salim; Nadjib Dastagir; Samuel Knoedler; Khaled Dastagir; Adriana C Panayi; Peter M Vogt
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

10.  Characteristics and outcome of burned children admitted to a pediatric intensive care unit.

Authors:  Luciana Gil Barcellos; Ana Paula Pereira da Silva; Jefferson Pedro Piva; Leandra Rech; Tamires Goulart Brondani
Journal:  Rev Bras Ter Intensiva       Date:  2018-10-04
  10 in total

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