Grill-Related Burn Injuries: A Matched Cohort Study.
Deborah ChoeMichael CooperMiki RobertsJustin T GillenwaterHaig A YenikomshianPublished in: Journal of burn care & research : official publication of the American Burn Association (2023)
Barbequing can result in devastating burn injuries with unsafe practices. This study aims to characterize the demographics, injury characteristics, and outcomes of grill-related burns and identify ways of burn prevention. A retrospective review of patients admitted to a single-institution, metropolitan burn center from 1/1/17 - 7/1/23. Data included demographics, burn injury characteristics, and outcomes. Each Grill Cohort patient was matched to three non-grill controls by mBaux score and burn location. Out of 2,355 patients, 69 (2.9%) met Grill Cohort inclusion criteria. The Grill Cohort had 55 (79.7%) males and an average age of 41.7 ±17.5 years old. In the Grill Cohort, 25 (36.2%) patients had positive blood alcohol, 8 (11.6%) tested positive for amphetamines and 5 (7.2%) for cocaine at the time of admission. A total of 61 (88.4%) Grill Cohort burns involved the upper extremity, 43 (62.3%) the head/neck, 34 (49.3%) the lower extremity, and 30 (43.5%) the trunk. Compared to the Control Cohort, the Grill Cohort had smaller proportions of patients who were undomiciled (p<0.01) or had a history of mental illness (p<0.001). Grill-related burns had a greater proportion of flash/flame burns (p<0.001). This study suggests that middle-aged, domiciled males without psychiatric comorbidities are more likely to make preventable grilling errors resulting in burn injuries. Prevention strategies targeting this demographic should underscore the risks of grilling while intoxicated, proper handling of propane tanks and lighter fluid, and the use of flash/flame-resistant gear protecting the upper extremities and head/neck.
Keyphrases
- end stage renal disease
- wound healing
- mental illness
- mental health
- ejection fraction
- newly diagnosed
- chronic kidney disease
- healthcare
- middle aged
- primary care
- prognostic factors
- peritoneal dialysis
- machine learning
- drug delivery
- climate change
- risk assessment
- patient reported outcomes
- adipose tissue
- patient safety
- metabolic syndrome
- mass spectrometry
- cancer therapy
- data analysis