Background: Pediatric craniofacial fractures are anatomically distinct from their adult counterparts and must be managed with respect for future growth and development. These injuries must be approached as entities fundamentally different from adult craniofacial fractures. Here, the authors aim to provide context for practitioners managing pediatric facial fractures by augmenting presently available demographic, diagnostic, and treatment data.
Methods: This is a retrospective review of demographics, diagnosis, and treatment of patients under 18 years of age presenting to the emergency department of a pediatric level I trauma center between 2000 and 2005 with facial fractures. Patients were included regardless of treating specialty, treatment modality, or inpatient status.
Results: A total of 772 consecutive patients met inclusion criteria. A significant majority (p < 0.001) of patients (68.9 percent) were male; older children were significantly more likely to sustain a facial fracture (p < 0.001). Fracture pattern, level of care, and cause of injury varied by age; 55.6 percent of patients had severe associated injuries. Male subjects, older patients, and patients of lower socioeconomic status were significantly more likely to sustain facial fractures secondary to violence (p ≤ 0.001).
Conclusions: Pediatric facial fractures may be associated with severe concomitant injuries. Injury patterns are significantly correlated with socioeconomic metrics.
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http://dx.doi.org/10.1097/PRS.0b013e318230c8cf | DOI Listing |
J Orthop Trauma
December 2024
Department of Orthopaedic Surgery, Regions Hospital, St. Paul, MN.
As the operative management of acute, chest wall, skeletal injury escalates throughout the world, it has become commonplace for patients with posttraumatic conditions to present with clinical reconstructive challenges as well. In addition, it is becoming clear that rib nonunions are not rare, likely more than 5% of rib fractures. No subspecialty is better equipped to address such painful conditions than orthopaedic surgery.
View Article and Find Full Text PDFIntroduction: Patients undergoing hip fracture surgery face notable risks of postoperative morbidity and mortality, and racial and socioeconomic disparities in outcomes exist. This study examined the effect of social vulnerability on outcomes after hip fracture surgery using the CDC's Social Vulnerability Index (SVI).
Methods: A retrospective study of 464 patients undergoing hip fracture surgery at a single institution from July 2020 to June 2023 was conducted.
Oral Maxillofac Surg
January 2025
Coastal Ear, Nose & Throat LLC, Neptune, NJ, USA.
Objective: This systematic review and meta-analysis compares the efficacy and complication rate of absorbable versus non-absorbable 3D-printed, patient-customized, maxillofacial implants in facial trauma patients.
Data Sources: A comprehensive search of four databases (PubMed, Scopus, Web of Science, and Cochrane) was conducted.
Methods: A systematic review and single-proportion meta-analysis was conducted employing PRISMA guidelines.
Cureus
December 2024
Oral Medicine and Radiology, SRM Dental College Ramapuram, SRM Institute of Science and Technology (SRMIST), Chennai, IND.
Facial bone fractures are a common occurrence in trauma cases, particularly in India where road traffic accidents contribute significantly. Over the past few years, artificial intelligence (AI) has become a potent instrument to help medical professionals diagnose and treat facial fractures. This study aims to perform a bibliometric analysis, that is, a quantitative and qualitative analysis, of publications focusing on the role of AI in detecting facial bone fractures.
View Article and Find Full Text PDFBioinformatics
January 2025
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Motivation: Ensuring connectivity and preventing fractures in tubular object segmentation are critical for downstream analyses. Despite advancements in deep neural networks (DNNs) that have significantly improved tubular object segmentation, existing methods still face limitations. They often rely heavily on precise annotations, hindering their scalability to large-scale unlabeled image datasets.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!