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Study Design: Retrospective Chart Review.
Objective: Mandible fracture is a life-altering event, and its complications can have devastating consequences for patients. Patients are therefore well-served if providers can identify their risk factors and engage strategies to reduce complication risk. The present study examines mandible trauma in an urban tertiary hospital serving an economically disadvantaged population.
Methods: This review identified all patients undergoing operative repair of traumatic mandible fractures from January 2015 to December 2020. Patient risk factors, operative technique, and surgical complications (including infection, hardware failure, malunion, and mandible nonunion) were analyzed.
Results: Two hundred and seventy-two patients were identified with mandible fractures; 78.3% of these injuries were related to interpersonal violence; 83.4% of patients were male, and 55.5% were African American. Based on multivariable logistic regression models, increased rates of postoperative complications were observed in patients with increasing Area Deprivation Index (Odds Ratio 1.02), mandible body fracture (OR 3.11), tobacco use disorder (OR 3.75), history of hepatitis C infection (OR 7.35), and discharge to drug and alcohol rehabilitation (OR 23.42).
Conclusions: For providers treating patients with mandible fractures, the effects of comorbid substance use-including tobacco use-and inadequate discharge disposition (a reflection of financial means and insurance status) should be identified early, and steps to mitigate their consequences should be taken. Providers must recognize that patients with these comorbidities require more patience, support, and attention than patients without these risk factors. Increased engagement with multidisciplinary services such as psychiatry, addiction medicine, primary care, and social work may improve outcomes for these vulnerable patients.
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http://dx.doi.org/10.1177/19433875241236330 | DOI Listing |
World J Pediatr Congenit Heart Surg
September 2025
Postgraduate Program in Health Sciences, Medical School, Federal University of Amazonas (UFAM), Manaus, Amazonas, Brazil.
To analyze in-hospital mortality in children undergoing congenital heart interventions in the only public referral center in Amazonas, North Brazil, between 2014 and 2022. This retrospective cohort study included 1041 patients undergoing cardiac interventions for congenital heart disease, of whom 135 died during hospitalization. Records were reviewed to obtain demographic, clinical, and surgical data.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Social and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Importance: Higher intellectual abilities have been associated with lower mortality risk in several longitudinal cohort studies. However, these studies did not fully account for early life contextual factors or test whether the beneficial associations between higher neurocognitive functioning and mortality extend to children exposed to early adversity.
Objective: To explore how the associations of child neurocognition with mortality changed according to the patterns of adversity children experienced.
Int J Surg
September 2025
Department of Gynecology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Background: Ovarian cancer remains the most lethal gynecological cancer, with fewer than 50% of patients surviving more than five years after diagnosis. This study aimed to analyze the global epidemiological trends of ovarian cancer from 1990 to 2021 and also project its prevalence to 2050, providing insights into these evolving patterns and helping health policymakers use healthcare resources more effectively.
Methods: This study comprehensively analyzes the original data related to ovarian cancer from the GBD 2021 database, employing a variety of methods including descriptive analysis, correlation analysis, age-period-cohort (APC) analysis, decomposition analysis, predictive analysis, frontier analysis, and health inequality analysis.