By: Ravi Kumar Chittoria, Nabiel Salam, Padmalakshmi Bharati Mohan, and Kanav Gupta
1Junior Resident, Department of Plastic Surgery, JIPMER, Pondicherry, India
2Professor & Registrar (Academic), Head of IT Wing and Telemedicine, Department of Plastic Surgery & Telemedicine, JIPMER, Pondicherry, India
3Assistant Professor, Department of plastic surgery, JIPMER, Puducherry, India
4Senior Resident, Department of Plastic Surgery, JIPMER, Puducherry, India
Burns are a significant risk factor contributing to mortality and morbidity, especially in underdeveloped
nations. While innovations in burn patient management have considerably reduced mortality rates in
developed countries, the fatality rates remain unacceptably high in underdeveloped regions where these
advancements have not been widely adopted or implemented. Accurate prediction of outcomes for
severe burn patients at the time of presentation is crucial for guiding clinical decisions and improving
patient management. In developed countries, several scoring systems are used to predict mortality in
burn patients effectively. These scoring systems are essential tools for healthcare providers, allowing
them to assess the severity of burns and anticipate the potential outcomes, thereby optimizing treatment
plans and resource allocation. This article focuses on the application of the Revised Baux Score, a well
established mortality prediction tool, in burn patients at a tertiary care hospital in an underdeveloped
nation. The Revised Baux Score, which considers factors such as age, percentage of total body surface
area burned, and inhalation injury, has been shown to be a reliable predictor of mortality in various
settings. By applying the Revised Baux Score in this context, the study aims to evaluate its effectiveness
in predicting mortality among burn patients in regions where advanced burn care practices are not yet
prevalent. This could potentially highlight the importance of integrating such scoring systems into
clinical practice in underdeveloped nations, ultimately contributing to better patient outcomes and
reducing the burden of burn-related mortality and morbidity. The findings may encourage healthcare
providers and policymakers to adopt these predictive tools, thereby improving burn care and survival
rates in resource-limited settings.
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