There is an increased risk of congestive heart failure (CHF) following anthracycline-based chemotherapy in patients with Diffuse Large B-cell lymphoma (DLBCL). Little is known about risk factors of CHF, other cardiovascular events (CVE), and CVE effect on outcomes. We conducted a retrospective review of 463 newly diagnosed DLBCL patients treated between 2002 and 2016 with anthracycline containing regimens. At a median follow up of 71.3 months, 10.4% patients developed new CHF, 4.97% had new atrial fibrillation and 3.2% had new coronary artery disease. Age over 65, advanced stage DLBCL and diabetes were associated with increased cumulative incidence of CVE. Patients with prior diabetes had decreased progression-free survival and overall survival in comparison to non-diabetics. Patients who had a CVE in the first year had significant worse OS then patients who did not have a CVE (Hazard Ratio 10.0, 95% CI, 7.24-13.88). A risk score incorporating age at DLBCL diagnosis, baseline lymphocyte count, disease stage and diabetes stratified into groups with low, intermediate and high risk for CVE, with 1-year cumulative incidence of CVE of 5.3%, 7.9% and 13.4%. Diffuse large B-cell lymphoma patients treated with anthracycline containing regimens have high incidence of CVE, which are not limited to CHF. Clinical variables at the time of diagnosis can identify the group of DLBCL patients at highest risk of CVE, for whom preventive interventions should be considered.
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http://dx.doi.org/10.1002/hon.3034 | DOI Listing |
J Neurosci
January 2025
Department of Anatomy, Physiology, and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA.
Animal models are commonly used to investigate developmental processes and disease risk, but humans and model systems (e.g., mice) differ substantially in the pace of development and aging.
View Article and Find Full Text PDFJ Neuroradiol
January 2025
Department of Neurosurgery, University of Occupational and Environmental Health, Kitakyushu, Japan.
Introduction: Our previous work demonstrated that evaluating large ischemic cores using the apparent diffusion coefficient (ADC) could predict EVT outcomes, with the most frequent ADC (peak ADC) ≥520×10 mm/s associated with better clinical results. Since the degree of ADC reduction reflects the severity of ischemic stress, this study aimed to assess the utility of an ADC color map in visualizing this stress.
Patients And Methods: This retrospective cohort study included consecutive patients with a low Alberta Stroke Program Early Computed Tomography Score (ASPECTS) using diffusion-weighted imaging (DWI) who underwent successful EVT recanalization between April 2014 and March 2023.
Med Image Anal
January 2025
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address:
The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of the brain's white matter networks are often overlooked in convolutional network design. We introduce TractGraphFormer, a hybrid Graph CNN-Transformer deep learning framework tailored for diffusion MRI tractography.
View Article and Find Full Text PDFNeurology
February 2025
Department of Neurology, Department of Stroke, University Hospital Cleveland Medical Center, Case Western Reserve University, Cleveland, OH.
Background And Objectives: Although previous trials have established the efficacy and safety of endovascular thrombectomy (EVT) in large ischemic core strokes, most of them excluded patients with extracranial internal carotid artery (e-ICA) occlusion. We aimed to compare outcomes in patients with e-ICA occlusion and large ischemic core infarcts treated with EVT vs medical management (MM).
Methods: This was a secondary analysis of the SELECT2 trial, a randomized controlled trial conducted at 31 international sites.
Blood
January 2025
University of Chicago, Chicago, Illinois, United States.
Most diffuse large B-cell lymphoma (DLBCL) patients treated with immunotherapies such as bispecific antibodies (BsAb) or chimeric antigen receptor (CAR) T cells fail to achieve durable treatment responses, underscoring the need for a deeper understanding of mechanisms that regulate the immune environment and response to treatment. Here, an integrative, multi-omic approach was applied to multiple large independent datasets in order to characterize DLBCL immune environments, and to define their association with tumor cell-intrinsic genomic alterations and outcomes to CD19-directed CAR T-cell and CD20 x CD3 BsAb therapies. This approach effectively segregated DLBCLs into four immune quadrants (IQ) defined by cell-of-origin and immune-related gene set expression scores.
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