Search

Introduction: An Infectious Aortic Aneurysm (IAA), also known as a Mycotic Aortic Aneurysm (MAA), is a rare lesion of the aorta resulting from an infection of its wall., Presentation: A male patient in his 70s presented to our emergency department with fever, intense abdominal pain, and a pulsatile mass in the middle of the abdomen. A Computed Tomography (CT) angiography scan was done two weeks earlier and it showed a 6.6 cm subrenal aortic aneurysm. A new CT angiography scan revealed a 3.4 cm growth (10*10*9.3) with periaortic fluids. The diagnosis of MAA was considered, and emergency surgery was performed., Discussion: MAA is a rare disease characterized by a high risk of rupture and a high mortality rate, up to 43 %, despite the advances in treatment techniques. Adjacent infection is a rare cause for MAA especially on a preexisting aneurysm. The two main surgical approaches are Open Surgical Repair (OSR) and Endo-Vascular Repair (EVR). We opted for OSR with careful debridement because EVR was not available at our center and the huge size of the aneurysm posed high rupture risk., Conclusion: This case demonstrates the importance of close monitoring and early intervention for aneurysms, particularly in cases with adjacent infection. Moreover, the rapid growth rate and rupture risk demands more urgent intervention if the MAA is suspected., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Compared to typical anaerobic digestion processes, little is known about both sludge microbial compositions and biogas production models for full-scale dry methane fermentation treating municipal solid waste (MSW). The anaerobic sludge composed of one major hydrogenotrophic methanogen (Methanoculleus) and syntrophic acetate oxidizing bacteria (e.g., Caldicoprobacter), besides enrichment of MSW degraders such as Clostridia. The core population remained phylogenetically unchanged during the fermentation process, regardless of amounts of MSW supplied (∼35 ton/d) or biogas produced (∼12000 Nm 3 /d). Based on the correlations observed between feed amounts of MSW from 6 days in advance to the current day and biogas output (the strongest correlation: r = 0.77), the best multiple linear regression (MLR) model incorporating the temperature factor was developed with a good prediction for validation data (R 2  = 0.975). The proposed simple MLR method with only data on the feedstock amounts will help decision-making processes to prevent low-efficient biogas production., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)