Giant ascending aortic aneurysm (AscAA >10 cm) is an uncommon entity with a variable presentation. The size of the aneurysm, rapid expansion, and calcification are associated with an increased risk of rupture. Atherosclerosis is the most common etiology of aortic aneurysm in the elderly population. Multimodality imaging can be wisely used for diagnosis, risk stratification, and follow-up. We herein report a case of successfully repaired giant calcified AscAA with a maximum diameter of 10 cm. We also provide a brief discussion on the role of multimodality imaging.
Background: Sinusitis is the inflammation of the lining mucosa of the air sinuses. It is classified into chronic and acute rhinosinusitis. Symptoms of rhinosinusitis include facial pain, congestion, and headache. As this disease is widely common, the family physician should be aware of the updates in terms of diagnosis, treatment, and warning signs. Objectives: The study aimed to review the literature reviewing rhinosinusitis, its etiology, risk factors, clinical presentation, diagnosis, and management of this disease. Methodology: PubMed database was used for article selection, gathered papers undergone a thorough review. Conclusion: Rhinosinusitis relies on physician experience in establishing the diagnosis, where the history and examination form the ground of the process. Identifying the causative pathogen is as crucial as knowing the patient's comorbidities in order to set the optimum treatment plan and avoiding the unfortunate consequences.
Background: Social media (SM) use is increasing among young adults in Saudi Arabia, and it's becoming an integral part of everyday life. It is thought that social media use is associated with certain behavioral changes, and some authors have shown concerns about its possible effect on mental health. In this study, we investigated the relationship between social media use and depression indicators among adult population in Saudi Arabia. Methods: A total of 618 adults were surveyed about SM and depression with an age range of 16 to 40 years. SM use was assessed by self-reported total number of hours per day spent on social networking. And depression was assessed using Beck Depression Inventory (BDI-II) scale. Also participants were asked to provide data on personal and family history of psychiatric disorders, drug abuse, and demographic data. Descriptive frequencies, Chi-squared tests and ordered logistic regressions were performed on data for analysis using SPSS software version 20.0. Results: Average daily time spent on social networking was 4 hours with standard deviation (SD) of 1.05 hour. Twitter, Snapchat and whatsapp were the most visited social networking applications by participants (85.7%, 74.2% and 67. 2%, respectively). BDI-II score indicated no depression in 572 participants, mild depression in 40 participants, and moderate to severe depression in 4 participants. Compared to those with lowest total hours per day spent on SM, participants with highest total hours per day spent on SM had significantly higher scores of BDI-II (AOR = 1.36, 95% CI = 1.09-2.42). Conclusion: Our results indicate that frequent use of social media is related to depression. Additional research is required to determine the possible causal nature of this relationship.
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