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http://dx.doi.org/10.1016/s0025-7125(16)32278-7 | DOI Listing |
Front Med (Lausanne)
January 2025
Department of Pathology, Montefiore Medical Center, Bronx, NY, United States.
Background: Glecaprevir/pibrentasvir is an effective antiviral therapy for hepatitis C virus infection and is generally regarded safe in patients with renal impairment. However, renal complications are a notable, albeit rare, concern.
Case Presentation: We report a case of acute kidney injury in a man in his 50s with chronic hepatitis C virus, chronic obstructive pulmonary disease, morbid obesity, a history of heroin dependence, and untreated type 2 diabetes mellitus.
Front Immunol
January 2025
Aix-Marseille Université, INSERM, INRAE, C2VN, Marseille, France.
Rationale: COVID-19-associated acute-respiratory distress syndrome (C-ARDS) results from a direct viral injury associated with host excessive innate immune response mainly affecting the lungs. However, cytokine profile in the lung compartment of C-ARDS patients has not been widely studied, nor compared to non-COVID related ARDS (NC-ARDS).
Objectives: To evaluate caspase-1 activation, IL-1 signature, and other inflammatory cytokine pathways associated with tissue damage using post-mortem lung tissues, bronchoalveolar lavage fluids (BALF), and serum across the spectrum of COVID-19 severity.
Scand J Clin Lab Invest
January 2025
Centre for Physical Activity Research, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
The objective of the current review was to identify whether clinically established lung function metrics of ventilatory and diffusion capacity obtained by standardised methodology are consistent with superior lung function in athletes, and whether this is related to maximal oxygen uptake (V̇O). Three independent reviewers performed a literature search in PubMed, Scopus, and reference screening. Data was extracted and analysed according to a predefined strategy.
View Article and Find Full Text PDFTransplant Direct
March 2024
Division of Transplant Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Purpose: To propose a domain-conditioned and temporal-guided diffusion modeling method, termed dynamic Diffusion Modeling (dDiMo), for accelerated dynamic MRI reconstruction, enabling diffusion process to characterize spatiotemporal information for time-resolved multi-coil Cartesian and non-Cartesian data.
Methods: The dDiMo framework integrates temporal information from time-resolved dimensions, allowing for the concurrent capture of intra-frame spatial features and inter-frame temporal dynamics in diffusion modeling. It employs additional spatiotemporal ($x$-$t$) and self-consistent frequency-temporal ($k$-$t$) priors to guide the diffusion process.
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