Publications by authors named "M D Burgard"

Background: A Parvovirus B19 (B19V) outbreak has been reported in Europe in 2023-2024. The aims of this study were 1) to describe the incidence of primary cases from 2012 to 2024 in one French hospital 2) to analyze the genome of 2023 strains 3) to identify virological profiles according to the clinical presentations of B19V infection.

Methods: The incidence of B19V primary cases was studied through an interrupted time-series analysis.

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Purpose: Approximately 7% of patients with rectal cancer experience local recurrence within 5 years of curative surgery. A positive circumferential resection margin (CRM) is among the most significant risk factors. Other reported risk factors include histopathologic type, anastomotic leakage, positive distal margins, and more recently, the anterior localization of the tumor.

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The management of acute uncomplicated diverticulitis (AUD) has shifted towards outpatient care in the last decade, challenging the traditional inpatient approach. We aimed to analyze the safety and feasibility of a structured outpatient treatment pathway for AUD in a tertiary hospital. We conducted a retrospective observational cohort analysis of patients who underwent outpatient management for AUD at the Geneva University Hospitals from 2019 to 2021.

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Article Synopsis
  • * Inherited mutations affecting T cell immunity, particularly biallelic variants in IL27RA, can result in severe primary EBV infections, with one allele more common in the Finnish population linked to increased risk of severe IM.
  • * IL-27 and its receptor IL-27RA play a significant role in T cell response to EBV; deficiencies in IL-27RA lead to impaired T cell growth against the virus, yet these same deficiencies could explain why some patients recover well despite severe initial infections.
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Background: Predictive weight loss models can help patients meet their expectations after bariatric surgery and assist physicians in responding to deviations from the predicted weight. A model published by Seyssel et al. appears to accurately predict postoperative body mass index.

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