Publications by authors named "Saena Yamashita"
Article Synopsis
- The study aims to create a decision tree model to identify heart failure patients needing therapeutic drug monitoring (TDM) for high levels of mono-desethylamiodarone (MDEA), an amiodarone metabolite linked to tissue toxicity.
- A retrospective cohort of 157 adults was analyzed to determine MDEA plasma concentrations, using a statistical algorithm that identified key risk factors affecting these levels.
- Results showed that patients on more than 100 mg of amiodarone daily and with a body mass index of 22.3 kg/m² or less are at significant risk for elevated MDEA levels, suggesting the need for regular monitoring to prevent potential toxicity.
Digoxin toxicity (plasma digoxin concentration ≥0.9 ng/mL) is associated with worsening heart failure (HF). Decision tree (DT) analysis, a machine learning method, has a flowchart-like model where users can easily predict the risk of adverse drug reactions.
View Article and Find Full Text PDFBackground: Polypharmacy, defined as the concurrent use of over six drugs, is common in the treatment of heart failure (HF); however, unpredictable drug interactions with bepridil may occur. In this study, we have elucidated the influence of polypharmacy on plasma bepridil concentrations in patients with HF.
Methods: We conducted a multicenter retrospective study involving 359 adult patients with HF who received oral bepridil.