Annals of burns and fire disasters
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Ann Burns Fire Disasters · Mar 2017
Burn-related factors affecting anxiety, depression and self-esteem in burn patients: an exploratory study.
Burns are physically, psychologically and economically challenging injuries, and the factors leading to them are many and under-studied. The aim of the current study was to assess level of anxiety, depression and self-esteem in burn patients, and look at various burn-related variables that affect them. This cross-sectional study included 100 patients with burn injuries admitted to a tertiary care private hospital in an urban metropolis in India. ⋯ High rates of anxiety and depression are associated with burn injuries and related to burn depth. Adjustment and recovery in these patients depends on various other factors like the patient's psychological status, nature/extent of the injury and ensuing medical care. Further research is warranted to reveal the magnitude and predictors of psychological problems in burn patients.
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Plasma lactate (PL) has been used as a marker of cellular hypoxia and shock. The correlation between PL and clinical outcome has been well accepted in hemorrhagic and septic shock. In contrast to the existing evidence, there are no or almost no data dealing with lactate and burn-related outcome. ⋯ Furthermore, plasma lactate cut-off value for mortality prediction was 4.46 mmol/l with a good sensitivity (86%) and specificity (92%). Mortality rate was 36.25%. Plasma lactate appears to be a powerful predictor biomarker of sepsis and mortality in burn patients.
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Ann Burns Fire Disasters · Mar 2017
Comparison of six outcome prediction models in an adult burn population in a developing country.
There are two types of prognostic model - burn-specific and general - to predict mortality risk in burn patients. Most prediction models were devised in developed countries. The aim of this study was to compare the performance of six outcome models in a developing country. ⋯ Deceased patients had significantly higher mean age, %TBSA and number of inhalation injury. The area under the curve of the models was between 64.5 (APACHE II) and 85.9 (ABSI). The best estimation of predicted mortality was obtained with the ABSI model (67.2%).