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Clinical outcome and comparison of burn injury scoring systems in burn patient in Indonesia

INTRODUCTION: The purpose of this study was to explore and compare the performance of four burn injury scoring systems in Indonesia. In a retrospective study, data of all burn patients admitted to the emergency centre (EC) were collected. The following clinical outcome and four burn injury scoring s...

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Detalles Bibliográficos
Autores principales: Herlianita, Risa, Purwanto, Edi, Wahyuningsih, Indri, Pratiwi, Indah Dwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: African Federation for Emergency Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187157/
https://www.ncbi.nlm.nih.gov/pubmed/34141527
http://dx.doi.org/10.1016/j.afjem.2021.04.005
Descripción
Sumario:INTRODUCTION: The purpose of this study was to explore and compare the performance of four burn injury scoring systems in Indonesia. In a retrospective study, data of all burn patients admitted to the emergency centre (EC) were collected. The following clinical outcome and four burn injury scoring systems were used to assess each patient: Abbreviated Burn Severity Index (ABSI), Belgian Outcome in Burn Injury (BOBI), the Ryan model, and revised Baux Score. METHODS: From April 2017 to April 2018, clinical outcome and burn injury score for every admitted patient were calculated to evaluate burn prognosis. Demographic information, ABSI score, full-thickness total body surface area (TBSA), overall TBSA, hospital stay, and inhalation injury were noted for analysis. Discriminative ability and goodness-of-fit of the prediction models were determined by receiver operating characteristic curve analysis and Hosmer–Lemeshow tests. RESULTS: We included 72 patients (mean age: 40.79 ± 16.30 years, average TBSA: 23.59% ± 24.84). Only 1 (1.4%) of them was diagnosed with inhalation injury. Mortality rate was 25%. Deceased patients had significantly higher mean age, %TBSA, and number of inhalation injuries. The ABSI model with sensitivity was 81.6, specificity was 92.5, accuracy was 87.3 and under the Receiver Operator Characteristics curve (AUC) was 0.93 (SE = 0.03). CONCLUSIONS: The best estimation of predicted mortality was obtained with the ABSI model.