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Background: The antiplatelet effect of prasugrel for acute ischemic stroke or transient ischemic attack (TIA) remains unclear. This study compared platelet reactivity between prasugrel and clopidogrel, considering cytochrome P450 family 2 subfamily C member 19 (CYP2C19) gene polymorphisms (extensive metabolizers [EM], intermediate metabolizers [IM], and poor metabolizers [PM]), in patients with acute large artery atherosclerosis (LAA) or high-risk TIA.
Methods And Results: In this multicenter open-label randomized controlled study, patients with acute LAA or high-risk TIA received prasugrel or clopidogrel with aspirin. The primary endpoint was platelet reaction units (PRU) 5 days after the start of drug administration, stratified according to CYP2C19 polymorphism. In all, 176 patients participated (88 in each group). Compared with the clopidogrel group, PRU on Day 5 in the prasugrel group were significantly lower in the overall population (adjusted mean 136.0 vs. 169.9; estimated difference -33.9; 95% confidence interval [CI] -49.0, -18.8), EM group (118.5 vs. 144.8; estimated difference -26.2; 95% CI -48.0, -4.4), and IM group (140.3 vs. 173.1; estimated difference -32.8; 95% CI -56.6, -9.0), and tended to be lower in the PM group (164.7 vs. 196.2; estimated difference -31.6; 95% CI -68.3, 5.1). The prevalence of new infarct lesions was comparable between the prasugrel and clopidogrel groups, as was the incidence of adverse events (30.7% vs. 26.1%, respectively) and bleeding events up to Day 5 of administration.
Conclusions: In patients with acute LAA or high-risk TIA, prasugrel resulted in stable inhibition of platelet aggregation 5 days after starting drug administration compared with clopidogrel, regardless of CYP2C19 polymorphisms.
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http://dx.doi.org/10.1253/circj.CJ-24-0949 | DOI Listing |
JAMA Netw Open
September 2025
Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla.
Importance: Janus kinase (JAK) inhibitors are highly effective medications for several immune-mediated inflammatory diseases (IMIDs). However, safety concerns have led to regulatory restrictions.
Objective: To compare the risk of adverse events with JAK inhibitors vs tumor necrosis factor (TNF) antagonists in patients with IMIDs in head-to-head comparative effectiveness studies.
J Urban Health
September 2025
Department of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Housing insecurity is a key social determinant of a wide range of health outcomes, subject to large racial inequities, and with a likely sensitive period in childhood. Housing insecurity can manifest in multiple ways and change over time, but previous studies have primarily focused on single dimensions or a single time point. This study examines cumulative exposure to multiple forms of housing insecurity from birth to adolescence, overall, and by race in large US cities.
View Article and Find Full Text PDFEndocrine
September 2025
Otorhinolaryngology, Head and Neck Surgery, Candiolo Cancer Institute, FPO-IRCCS Turin, Turin, Italy.
Background: While osteoporosis in primary hyperparathyroidism (PHPT) is widely studied, PHPT patients with osteopenia remain less characterized. This study aimed to evaluate the prevalence, biochemical features, and estimated fracture risk of osteopenic PHPT patients in a real-life cohort.
Methods: We retrospectively analyzed a consecutive series of PHPT patients with available densitometric data at three sites.
Cancer Causes Control
September 2025
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Purpose: The U.S. Preventive Services Task Force recommends that men aged 55-69 years undergo shared decision-making (SDM) regarding prostate cancer (PCa) screening, and routine screening is not recommended for older men or those with limited life expectancy.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
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