Introduction: Facial gunshot wounds have devastating functional and aesthetic consequences for the patient. If associated with penetrating craniocerebral injuries, the prognosis is rather compromised even with appropriate medical and surgical treatment. Chop-off injuries with penetrating wounds constitute a challenging situation for the facial reconstructive surgeon in facial trauma.
Observation: This case involved a 49-year-old man who sustained an accidental facial shot from a pellet gun. Radiological and clinical investigations revealed complex ballistic trauma to the maxillofacial region, with projectiles reaching the base of the skull. One of the projectiles migrated via the carotid canal towards a cerebral artery, leading to obstruction of the artery with cerebral infarction. An autopsy was performed which evaluated that the shooting distance was compatible with a long distance, causing the dispersion of lead grains with the absence of a wad inside the trauma site.
Conclusion: In some cases of facial gunshot wounds, despite a complex and extensive lesion assessment, death may occur due to a neurological complication rather than sustaining hemodynamic shock, depending on the trajectory of the projectiles.
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http://dx.doi.org/10.62438/tunismed.v102i8.5045 | DOI Listing |
Adv Sci (Weinh)
December 2024
Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Digital PCR (dPCR) has transformed nucleic acid diagnostics by enabling the absolute quantification of rare mutations and target sequences. However, traditional dPCR detection methods, such as those involving flow cytometry and fluorescence imaging, may face challenges due to high costs, complexity, limited accuracy, and slow processing speeds. In this study, SAM-dPCR is introduced, a training-free open-source bioanalysis paradigm that offers swift and precise absolute quantification of biological samples.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Department of Communication, Cornell University, Ithaca, NY, United States.
Background: Health misinformation is abundant online and becoming an increasingly pressing concern for both oncology practitioners and patients with cancer. On social media platforms, including the popular audiovisual app TikTok, the flourishing alternative health industry is further contributing to the spread of misleading and often harmful information, endangering patients' health and outcomes and sowing distrust of the medical community. The prevalence of false and potentially dangerous treatments on a platform that is used as a quasi-search engine by young people poses a serious risk to the health of patients with cancer.
View Article and Find Full Text PDFJ Prev Med Public Health
November 2024
Fatmawati Central General Hospital, Jakarta Selatan, Indonesia.
Objectives: The purpose of this study was to develop a valid and reliable instrument for assessing patients' behavior toward the risk of hypoglycemia through self-assessment. Insufficient education and supervision of type 2 diabetes mellitus (DM) outpatients by healthcare providers is a significant concern, affecting their behavior during the treatment process. Additionally, inappropriate behavior typically increases the risk of hypoglycemia.
View Article and Find Full Text PDFNat Commun
November 2024
Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.
Eddy-resolving turbulence simulations are essential for understanding and controlling complex unsteady fluid dynamics, with significant implications for engineering and scientific applications. Traditional numerical methods, such as direct numerical simulations (DNS) and large eddy simulations (LES), provide high accuracy but face severe computational limitations, restricting their use in high-Reynolds number or real-time scenarios. Recent advances in deep learning-based surrogate models offer a promising alternative by providing efficient, data-driven approximations.
View Article and Find Full Text PDFPlants (Basel)
November 2024
Antares Vision S.p.A, 25039 Travagliato, Italy.
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