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Arch Dermatol Res
January 2025
Lűbeck Institute of Experimental Dermatology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
Background: A low risk of cardiovascular and metabolic outcomes was found in the randomized clinical trials of dupilumab in atopic dermatitis (AD). Dupilumab-associated real-life long-term cardiometabolic risk relative to other systemic agents is yet to be precisely investigated.
Objective: To assess the risk of cardiometabolic outcomes in patients with AD treated with dupilumab relative to those treated with methotrexate and cyclosporine.
J Am Acad Dermatol
January 2025
Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
Int J Clin Pharm
January 2025
Division of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, 40002, Thailand.
Background: Few studies have examined the use of self-screening tools and patient alert cards (PAC) for screening adverse drug reactions (ADRs).
Aim: To evaluate the benefits of self-screening tools and PAC for screening ADRs.
Method: A prospective study of outpatients was conducted at a tertiary care teaching hospital.
Transplant Cell Ther
January 2025
University of Calgary, Calgary, Alberta, Canada; Alberta Health Services, Calgary, Alberta, Canada.
Multiple factors have been described to influence the risk of acute or chronic graft-versus-host disease (aGVHD or cGVHD) after allogeneic hematopoietic cell transplantation (HCT), including underlying chronic myeloid leukemia (CML) and high-dose total body irradiation (TBI). However, the impact of the underlying disease or low-dose TBI on the risk of GVHD in the modern era has not been determined. The objective of this study was to determine risk factors for GVHD in the modern era in the setting of antithymocyte globulin (ATG)-based GVHD prophylaxis.
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December 2024
Galapagos SASU, Romainville, France.
Background And Objective: This study provides a physiologically based pharmacokinetic (PBPK) model-based analysis of the potential drug-drug interaction (DDI) between cyclosporin A (CsA), a breast cancer resistance protein transporter (BCRP) inhibitor, and methotrexate (MTX), a putative BCRP substrate.
Methods: PBPK models for CsA and MTX were built using open-source tools and published data for both model building and for model verification and validation. The MTX and CsA PBPK models were evaluated for their application in simulating BCRP-related DDIs.
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