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

Douglas, Helen E.; Ratcliffe, Andrew; Sandhu, Rajdeep; Anwar, Umair

doi:10.1016/j.burns.2014.05.009

Cited by 19 publications

(9 citation statements)

References 14 publications

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“…This study also indicated weaker BOBI score outcomes, especially in comparison to other systems in our study [ 20 ]. Our results contrast with those of Douglas et al [ 23 ] who identified that the BOBI score was more accurate than the revised Baux score on a cohort of 48 patients. Discrepancies with earlier findings in this result could be due to the differences in demographic and quality of care in each area.…”

Section: Discussioncontrasting

confidence: 99%

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

Herlianita

Purwanto

Wahyuningsih

et al. 2021

African Journal of Emergency Medicine

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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.

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Section: Discussioncontrasting

confidence: 99%

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

Herlianita

Purwanto

Wahyuningsih

et al. 2021

African Journal of Emergency Medicine

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“…Thus, we do not know whether patients who have suffered burns that are particularly prone to become infected, (e.g. burns to the genital, perineal or buttocks area [40,41]), or burns that are accompanied by other injuries, are more likely to be admitted to either a burn or general A study of 48 patients admitted to a UK burn ICU with a burn surface area higher than that in our burn ICU population (30% vs. 23%), reported that the APACHE-2 model was superior to the revised Baux and BOBI models [42], and thus concurred with our findings. In contrast, Tsurumi et al [43] reported that the revised Baux model had a better discrimination than the APACHE-2 model in 333 burn patients in six US burn ICUs.…”

Section: Discussionmentioning

confidence: 84%

The organisation of critical care for burn patients in the UK: epidemiology and comparison of mortality prediction models

et al. 2018

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In the UK, a network of specialist centres has been set up to provide critical care for burn patients. However, some burn patients are admitted to general intensive care units. Little is known about the casemix of these patients and how it compares with patients in specialist burn centres. It is not known whether burn-specific or generic risk prediction models perform better when applied to patients managed in intensive care units. We examined admissions for burns in the Case Mix Programme Database from April 2010 to March 2016. The casemix, activity and outcome in general and specialist burn intensive care units were compared and the fit of two burn-specific risk prediction models (revised Baux and Belgian Outcome in Burn Injury models) and one generic model (Intensive Care National Audit and Research Centre model) were compared. Patients in burn intensive care units had more extensive injuries compared with patients in general intensive care units (median (IQR [range]) burn surface area 16 (7-32 [0-98])% vs. 8 (1-18 [0-100])%, respectively) but in-hospital mortality was similar (22.8% vs. 19.0%, respectively). The discrimination and calibration of the generic Intensive Care National Audit and Research Centre model was superior to the revised Baux and Belgian Outcome in Burn Injury burn-specific models for patients managed on both specialist burn and general intensive care units.

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“…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 …”

Section: Discussionmentioning

confidence: 99%

Predicting Mortality in Severe Burns—What Is the Score?

Woods

Quinlan

Shelley

2016

Plastic and Reconstructive Surgery - Global Open

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

Cited by 19 publications

References 14 publications

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

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

The organisation of critical care for burn patients in the UK: epidemiology and comparison of mortality prediction models

Predicting Mortality in Severe Burns—What Is the Score?

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