Publications by authors named "Hinako Tsuji"
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.
The purpose of this study was to accumulate enhanced technical knowledge about the powder properties of direct compaction grades of mannitol that could lead to new tablet formulations. Fifteen different commercial direct compaction grades of mannitol were tested. Ten different powder properties representing flowability, particle size, specific surface area and manufacturing properties were measured.
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