Abstract

Risk adjustment and mortality prediction models are central in optimising care and for benchmarking purposes. In the burn setting, the Baux score and its derivatives have been the mainstay for predictions of mortality from burns. Other well-known measures to predict mortality stem from the ICU setting, where, for example, the Simplified Acute Physiology Score (SAPS 3) models have been found to be instrumental. Other attempts to further improve the prediction of outcome have been based on the following variables at admission: Sequential Organ Failure Assessment (aSOFA) score, determinations of aLactate or Neutrophil to Lymphocyte Ratio (aNLR). The aim of the present study was to examine if estimated mortality rate (EMR, SAPS 3), aSOFA, aLactate, and aNLR can, either alone or in conjunction with the others, improve the mortality prediction beyond that of the effects of age and percentage total body surface area (TBSA%) burned among patients with severe burns who need critical care. This is a retrospective, explorative, single centre, registry study based on prospectively gathered data. The study included 222 patients with median (25th–75th centiles) age of 55.0 (38.0 to 69.0) years, TBSA% burned was 24.5 (13.0 to 37.2) and crude mortality was 17%. As anticipated highest predicting power was obtained with age and TBSA% with an AUC at 0.906 (95% CI 0.857 to 0.955) as compared with EMR, aSOFA, aLactate and aNLR. The largest effect was seen thereafter by adding aLactate to the model, increasing AUC to 0.938 (0.898 to 0.979) (p < 0.001). Whereafter, adding EMR, aSOFA, and aNLR, separately or in combinations, only marginally improved the prediction power. This study shows that the prediction model with age and TBSA% may be improved by adding aLactate, despite the fact that aLactate levels were only moderately increased. Thereafter, adding EMR, aSOFA or aNLR only marginally affected the mortality prediction.

Highlights

  • Risk adjustment and mortality prediction models are central in optimising care and for benchmarking purposes

  • The most successful model may be claimed to be that of Osler et al who developed the revised Baux score by adding inhalation injury to age and TBSA% burned, and the Thermal Injury Mortality Model (TIMM) score which uses nonlinear transformations as well as two-way interactions among the main effects to adjust for non-linearity and interactions of the ­variables[9]

  • It may be anticipated that APACHE IV or Simplified Acute Physiology Score 3 (SAPS 3) may contribute to the burn outcome prediction model alone or when added to the variables of the Baux score

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Summary

Introduction

Risk adjustment and mortality prediction models are central in optimising care and for benchmarking purposes. The aim of the present study was to examine if estimated mortality rate (EMR, SAPS 3), aSOFA, aLactate, and aNLR can, either alone or in conjunction with the others, improve the mortality prediction beyond that of the effects of age and percentage total body surface area (TBSA%) burned among patients with severe burns who need critical care. Recently, three other measures to improve the precision in critical care mortality outcome predictions have been presented and shown to be effective These are, at admission: aLactate[12], Sequential Organ Failure Assessment score (aSOFA)[13], and Neutrophil to Lymphocyte ratio (aNLR)[14]. Of interest was whether this improvement would be clinically important

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