Central nervous system (CNS) relapse in patients with diffuse large B cell lymphoma (DLBCL) is an uncommon event, and the outcome of patients with CNS relapse is poor. However, no reliable prediction models for CNS relapse have been developed. We retrospectively analyzed consecutive de novo DLBCL patients referred to our department between September 2004 and August 2015 and treated with R-CHOP or R-CHOP-like regimens. Of 413 patients analyzed in this study, a total of 27 patients (6.5 %) eventually developed CNS relapse. The 5-year probability of CNS relapse was 8.4 %. The median time from diagnosis of DLBCL to CNS relapse was 15 months, and the median survival after CNS relapse was 7 months. In univariate analysis, the risk factors significantly associated with CNS relapse were Ann Arbor stage 3 or 4, albumin level <3.2 mg/L, number of extranodal sites >1, and involvement of retroperitoneal lymph node. We developed a new prognostic model consisting of these four factors. The 5-year probability of CNS relapse was significantly higher in patients with at least three of these four factors than in those with two or fewer factors (26.4 vs. 3.0 %, P < 0.001). Using this model, we evaluated the incidence and the risk factors of CNS relapse in DLBCL patients. The new risk model consisting of the four factors demonstrated good risk stratification for CNS relapse, and could help to identify high-risk patients for whom CNS prophylaxis is warranted.
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http://dx.doi.org/10.1007/s00277-016-2744-5 | 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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