Literature DB >> 28149234

Comparison of mortality prediction models and validation of SAPS II in critically ill burns patients.

O Pantet1, M Faouzi2, N Brusselaers3, A Vernay1, M M Berger1.   

Abstract

Specific burn outcome prediction scores such as the Abbreviated Burn Severity Index (ABSI), Ryan, Belgian Outcome of Burn Injury (BOBI) and revised Baux scores have been extensively studied. Validation studies of the critical care score SAPS II (Simplified Acute Physiology Score) have included burns patients but not addressed them as a cohort. The study aimed at comparing their performance in a Swiss burns intensive care unit (ICU) and to observe whether they were affected by a standardized definition of inhalation injury. We conducted a retrospective cohort study, including all consecutive ICU burn admissions (n=492) between 1996 and 2013: 5 epochs were defined by protocol changes. As required for SAPS II calculation, stays <24h were excluded. Data were collected on age, gender, total body surface area burned (TBSA) and inhalation injury (systematic standardized diagnosis since 2006). Study epochs were compared (χ2 test, ANOVA). Score performance was assessed by receiver operating characteristic curve analysis. SAPS II performed well (AUC 0.89), particularly in burns <40% TBSA (AUC 0.93). Revised Baux and ABSI scores were not affected by the standardized diagnosis of inhalation injury and showed the best performance (AUC 0.92 and 0.91 respectively). In contrast, the accuracy of the BOBI and Ryan scores was lower (AUC 0.84 and 0.81) and reduced after 2006. The excellent predictive performance of the classic scores (revised Baux score and ABSI) was confirmed. SAPS II was nearly as accurate, particularly in burns <40% TBSA. Ryan and BOBI scores were least accurate, as they heavily weight inhalation injury.

Entities:  

Keywords:  ABSI; APACHE II; BOBI score; Ryan score; SAPS II; burns; inhalation injury; outcome; revised Baux score

Year:  2016        PMID: 28149234      PMCID: PMC5241191     

Source DB:  PubMed          Journal:  Ann Burns Fire Disasters        ISSN: 1592-9558


  38 in total

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2.  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

3.  Accuracy of commercial reporting systems to monitor quality of care in burns.

Authors:  Amer Hussain; Ken W Dunn
Journal:  Burns       Date:  2013-09-03       Impact factor: 2.744

4.  Standardizing the diagnosis of inhalation injury using a descriptive score based on mucosal injury criteria.

Authors:  Christos Ikonomidis; Florian Lang; Alexandre Radu; Mette M Berger
Journal:  Burns       Date:  2012-02-19       Impact factor: 2.744

5.  Predicting survival in an elderly burn patient population.

Authors:  L A Wibbenmeyer; M J Amelon; L J Morgan; B K Robinson; P X Chang; R Lewis; G P Kealey
Journal:  Burns       Date:  2001-09       Impact factor: 2.744

6.  Outcome and changes over time in survival following severe burns from 1985 to 2004.

Authors:  Nele Brusselaers; Eric A J Hoste; Stan Monstrey; Kirsten E Colpaert; Jan J De Waele; Koenraad H Vandewoude; Stijn I Blot
Journal:  Intensive Care Med       Date:  2005-10-12       Impact factor: 17.440

7.  ESPEN endorsed recommendations: nutritional therapy in major burns.

Authors:  Anne-Françoise Rousseau; Marie-Reine Losser; Carole Ichai; Mette M Berger
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8.  Mortality evolution study of burn patients in a critical care burn unit between 1971 and 1991.

Authors:  R Herruzo-Cabrera; M Fernandez-Arjona; V Garcia-Torres; S Martinez-Ratero; F Lenguas-Portero; J Rey-Calero
Journal:  Burns       Date:  1995-03       Impact factor: 2.744

9.  A simple tool for mortality prediction in burns patients: APACHE III score and FTSA.

Authors:  E C Moore; D V Pilcher; M J Bailey; H Cleland; J McNamee
Journal:  Burns       Date:  2010-05-21       Impact factor: 2.744

Review 10.  Severe burn injury in Europe: a systematic review of the incidence, etiology, morbidity, and mortality.

Authors:  Nele Brusselaers; Stan Monstrey; Dirk Vogelaers; Eric Hoste; Stijn Blot
Journal:  Crit Care       Date:  2010-10-19       Impact factor: 9.097

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  9 in total

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2.  Risk Factors For Death And Prognosis Value Of Revised Baux Score For Burn Patients With Inhalation Injury.

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Journal:  Ann Burns Fire Disasters       Date:  2022-03-31

3.  Prognosis value of revised Baux score among burn patients in developing country.

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4.  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

5.  Predictive modeling in urgent care: a comparative study of machine learning approaches.

Authors:  Fengyi Tang; Cao Xiao; Fei Wang; Jiayu Zhou
Journal:  JAMIA Open       Date:  2018-06-04

6.  Mortality and Survival Analysis of Burn Patients Admitted in a Critical Care Burn Unit, Saudi Arabia.

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Journal:  Saudi J Med Med Sci       Date:  2022-09-10

7.  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

8.  Exudative glutamine losses contribute to high needs after burn injury.

Authors:  Mette M Berger; Pierre-Alain Binz; Clothilde Roux; Mélanie Charrière; Corinne Scaletta; Wassim Raffoul; Lee Ann Applegate; Olivier Pantet
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9.  Clinical outcome and comparison of burn injury scoring systems in burn patient in Indonesia.

Authors:  Risa Herlianita; Edi Purwanto; Indri Wahyuningsih; Indah Dwi Pratiwi
Journal:  Afr J Emerg Med       Date:  2021-06-05
  9 in total

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