RESUMO
Background: Clinical diagnosis of sepsis is challenging, emphasizing the importance of regular bacterial surveillance, and tailored antimicrobial therapy. This study aims to elucidate the predictors of sepsis in critically ill burn patients. Methods: A retrospective analysis was conducted on patients admitted to the burn intensive care unit between 2016 and 2022. Demographics, type of burn, total body surface area (TBSA), presence of inhalation injury, mortality, sepsis, deep vein thrombosis, pulmonary embolism, pneumonia, cultures, and laboratory findings were collected. Descriptive statistics and survival analysis were used to analyze trends during the 7-year period. Results: The study encompassed 196 participants. Among patient factors, men constituted 73.4% (n = 102) of those without sepsis and 86.0% (n = 49) with sepsis, with an association between sepsis and lower age (34 versus 41 years) as well as larger TBSA (41.1% versus 17.3%). Inhalation injury was a significant predictor of sepsis [35.1% (n = 20) versus 11.6% (n = 16)]. Mortality was higher in sepsis cases [17.5% (n = 10) versus 2.9% (n = 4)], as well as positive blood cultures [47.4% (n = 27) versus 2.2% (n = 3)], positive wound cultures [71.9% (n = 41) versus 12.2% (n = 17)], and positive fungal cultures [12.3% (n = 7) versus 0% (n = 0)]. Multivariable analysis identified age and TBSA as significant predictors of sepsis (P = 0.025, P < 0.001). Conclusions: Age, TBSA affected emerge as a strong risk factor for sepsis among critically ill burn patients. It underscores the need for vigilant monitoring to improve outcomes and reduce sepsis-related mortality.
RESUMO
Augmented reality (AR), a blending of both the physical and digital worlds, can be a valid tool for surgeons wishing to plan interventions and attain symmetry. The use of technology has enabled physicians to achieve desirable results. In this article, we describe a method that uses smartphone's simple AR utilities for convenient, cost effective, and time saving perioperative planning. METHODS: Images of preoperative computed tomography, along with 3D reconstructed scans were uploaded to a smartphone and used in an affordable application (Camera Lucida) to superimpose the loaded pictures over the smartphone camera. In one case, a 3D computed tomography scan of the skull was mirrored to help guide fronto-orbital advancement, and in another case the loaded 3D reconstructed computed tomography scan was used to prioritize areas of scalp coverage in a complicated case of craniosynostosis with major scalp wound dehiscence. DISCUSSION: Adaptation of AR to assist in the field of craniofacial surgery has been introduced before in several studies that reported the use of computer-based guidance for cranial reshaping. The majority of these reports used sophisticated modalities, combining advanced image registration and tracking with specialized equipment. The utility of smartphone AR for cranial vault reconstruction provided good accuracy when visualizing fronto-orbital advancement and remodeling, together with in depth prioritization of areas in need of soft tissue reconstruction. CONCLUSION: Smartphone AR adaptation proved to be a very convenient tool assisting in the planning of different craniofacial conditions that are time saving and do not incur any additional fees beyond those of the surgery.