European Burn Journal

Background: A childhood burn presents new and unfamiliar challenges to patients and their parents during recovery. These injuries can negatively impact activities such as independence in self-care, participation in physical activity, and social interaction. As such, pediatric burn patients are at risk of poorer quality of life (QoL) outcomes after their burn. In this longitudinal, observational cohort study, we examined the social, demographic, and clinical factors that were associated with a poor QoL at 12 months postburn for pediatric patients aged > 2 years with non-severe burns in Western Australia. Methods: Inpatients were recruited from the pediatric burn unit at Perth Children’s Hospital in Western Australia between February 2021 and September 2022. Demographic and family information (age, sex, postcode, parental education, languages spoken at home) and clinical data (burn cause, TBSA%, location, surgical interventions, length of stay) were collected at baseline. At 6 and 12 months, caregivers completed the Brisbane Burn Scar Impact Profile (BBSIP). Results: A total of 37 caregivers completed the Brisbane Burn Scar Impact Profile (BBSIP). For the child’s QoL, 57% of caregivers reported that some impact remained for overall QoL, 32% for sensory intensity, 46% for sensitivity, 22% for daily living (22%), and 19% for emotional reactions. Parent worry was impacted in 46% of caregivers. Being female was associated with greater long-term impacts, particularly in overall functioning and parental worry. The burn location also influenced outcomes, with injuries to the upper limbs linked to higher sensory intensity and emotional impact. Children from culturally and linguistically diverse (CaLD) backgrounds, indicated by those speaking a language other than English at home (LOTE), demonstrated significantly greater effects across several domains, including overall impact, daily living, appearance, and parent worry. Conclusions: A substantial proportion of children continued to experience impacts from non-severe burns across multiple domains, indicating that even small-area burns can have lasting effects. The factors associated with worse scores were the child being female, the families being linguistically diverse, and upper body burns.

Background: Burns cause about 180,000 deaths annually and lead to substantial morbidity, especially in low- and middle-income countries. Clinical assessment of burn depth and TBSA relies on visual and bedside examination and remains subjective. Convolutional neural networks (CNNs) have been proposed to improve objectivity in image-based burn assessment, but clinical generalizability and acceptance remain uncertain. Aims: To map current evidence on CNN performance for burn TBSA, burn depth and treatment-related tasks and to explore whether a large language model (LLM) can organize extracted findings into a transparent, literature-derived orientation decision tree. Methods: We performed a scoping review following PRISMA-ScR. PubMed, Web of Science and Cochrane were searched on 5 April 2025. Eligible studies reported CNN analysis of 2D burn images and quantitative performance metrics. We summarized reported values descriptively. We then provided a structured summary of extracted findings to ChatGPT to draft a one-page orientation decision tree. Two consultant burn surgeons reviewed the figure for clarity and plausibility. Results: Of 659 records, 24 studies were included. Across studies, reported performance for TBSA and depth assessment was often high, but study designs, datasets, labels, imaging modalities and validation strategies varied substantially. High reported performance does not necessarily imply clinical robustness or real-world accuracy. A single study reported high test-set accuracy for graft versus non-graft using heavily expanded data. This value should not be generalized. Conclusions: CNNs show promise for image-based burn TBSA and depth assessment, but heterogeneity, dataset limitations and limited external validation restrict interpretation and clinical transfer. The LLM-derived decision tree is a literature-synthesis orientation figure, not a clinical decision-support tool.

Background: Burns result in approximately 180,000 deaths annually, with the majority occurring in rural regions of Africa and Southeast Asia. This study aimed to assess the available resources, key challenges, and potential solutions in burn care from the perspective of healthcare providers in India. Methods: An online survey was conducted among burn care professionals across India. The survey was disseminated via social media platforms, burn care networks, and hospital representatives. Results: A total of 105 respondents, primarily from tertiary care centers, participated in the survey. Of these, 64.2% were affiliated with government hospitals, and 40.1% served catchment areas extending beyond 300 km. Dedicated burn units were present in 88.0% of government hospitals, compared to 66.9% in non-government facilities. Treatment costs were significantly lower in government hospitals, with 88.8% offering care either free of charge or at minimal cost (p ≤ 0.00001). Conclusions: The findings reveal significant gaps in staff training, intensive care monitoring, and infection prevention. Many patients initially seek help from traditional healers, often delaying appropriate treatment and worsening outcomes. Enhancing education, implementing standard monitoring practices, and ensuring adherence to clinical protocols are critical steps toward improving burn care outcomes in India.