Central nervous system (CNS) relapse of diffuse large B-cell lymphoma (DLBCL) is a devastating event occurring in ~ 5% of patients treated with R-CHOP. We hypothesized that adding lenalidomide to R-CHOP (R2CHOP) may decrease the risk of CNS relapse. We analyzed records for patients with DLBCL from two R2CHOP trials. We assessed variables pertinent to the CNS-International Prognostic Index (CNS-IPI) scoring system and classified patients into groups of low, intermediate, and high risk of CNS relapse. The 2-year CNS relapse rate for each risk group was estimated using the Kaplan-Meier method and compared with reported rates in cohorts treated with contemporary chemoimmunotherapy. A total of 136 patients were included. Mean age was 65 and median follow-up was 48.2 months. 10.3, 71.3, and 18.4% of patients were classified into low, intermediate, and high-risk CNS-IPI groups, respectively. Only one of 136 patients developed CNS relapse, corresponding to an incidence of 0.7% and an estimated 2-year CNS relapse rate of 0.9% for the entire R2CHOP cohort. The estimated 2-year CNS relapse rates for the low, intermediate, and high-risk groups were 0, 0, and 5.0%, respectively. Frontline therapy with R2CHOP in patients with DLBCL is associated with a lower-than-expected rate of CNS relapse.
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http://dx.doi.org/10.1038/s41408-018-0097-0 | DOI Listing |
Ann Hematol
January 2025
Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, China.
Experience using olverembatinib as maintenance therapy in patients with Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph ALL) after allogeneic hematopoietic cell transplantation (allo-HCT) is limited. We retrospectively collected data from 26 patients with Ph ALL who received only olverembatinib as maintenance therapy after allo-HCT. Olverembatinib was administered as prophylaxis in 18 patients (69.
View Article and Find Full Text PDFEndocrinology
January 2025
Centre for Cardiovascular and Metabolic Neuroscience; Dept of Neuroscience, Physiology and Pharmacology; University College London; UK.
Obesity is now considered a chronic relapsing progressive disease, associated with increased all-cause mortality that scales with bodyweight, affecting more than 1 billion people worldwide. Excess body fat is strongly associated with excess energy intake, and most successful anti-obesity medications (AOMs) counter this positive energy balance through the suppression of eating to drive weight loss. Historically, AOMs have been characterised by modest weight loss and side effects which are compliance-limiting, and in some cases life-threatening.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Objectives: To report myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) epidemiology in two American regions using 2023 diagnostic criteria.
Patients And Methods: We compared age- and sex-adjusted incidence and prevalence of MOGAD per 2023 diagnostic criteria in Olmsted County (Minnesota [USA]) and Martinique (Caribbean [FR]) (01/01/2003-12/31/2018, prevalence day) using Poisson regression. Archived sera in 68-85% were available for MOG-IgG testing by live cell-based assay at Mayo Clinic.
The ANZSNP scientific meeting 2024 was held in the scenic city of Queenstown, New Zealand on 31 August and September 1. Dr Fouzia Ziad, President of the ANZSNP and Dr Laveniya Satgunaseelan, Secretary /Treasurer of the ANZSNP were the convenors of the meeting. The meeting was co-badged with the Australasian Winter Conference on Brain Research (AWCBR) 2024.
View Article and Find Full Text PDFPLoS One
January 2025
King's College London-Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Major depressive disorder (MDD) is defined by an array of symptoms that make it challenging to understand the condition at a population level. Subtyping offers a way to unpick this phenotypic diversity for improved disorder characterisation. We aimed to identify depression subtypes longitudinally using the Inventory of Depressive Symptomatology: Self-Report (IDS-SR).
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