Major side effects occur after coronary syndrome

Published Date: 13 Mar 2023

OSA itself predicted the incidence of MACCE in non-obese patients.

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Treatment with aficamten may improve multiple measures of exercise in patients with obstructive hypertrophic cardiomyopathy, a study finds.

Hypotension-related events increased after starting GLP-1s in patients taking multiple antihypertensive medications.

Thyroid abnormalities in early pregnancy are associated with an increased risk of developing hypothyroidism later in life.

Pharmacogenomics and polygenic risk scores could replace trial-and-error prescribing — but workflow, trust, and equity stand in the way.

A phase 2 trial suggests myostatin inhibition may reduce lean body mass loss during tirzepatide treatment while maintaining overall weight reduction.

High temperatures, humidity, and prolonged exertion can overwhelm the body’s cooling systems. Here’s what clinicians should know about heat risk in sport.

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Anxiety and depression are linked to a higher risk for death and major adverse cardiovascular events, with a greater risk at higher symptom severity, prompting closer attention in routine care.

The Evolving Landscape of Sickle Cell Disease Treatment

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Which Factors Affect Heart Health in Indigenous Canadians?

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JAK Inhibitors Effective in RA, Safer With Risk-Based Use

JAK inhibitors show effectiveness and persistence in routine care of adults with rheumatoid arthritis, and cautious patient selection under new recommendations is linked to safer outcomes.

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The combination of lenvatinib and nivolumab may enhance survival outcomes in patients with unresectable advanced hepatocellular carcinoma, a single-arm trial reports.

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Is Modern Medicine Losing the Art of Listening?

Patients place high value on listening, trust, and clear communication, which are factors that shape adherence, satisfaction, and the overall experience of care.

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The MHRA has approved the UK's first oral semaglutide tablet for obesity, with NHS availability pending a NICE evaluation.

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A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion MRI-derived data, removing the need for structural scans.

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