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Tokuhisa Uejima

As seen in: Nature, Frontiers
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Articles

Ankle–brachial index and brachial–ankle pulse wave velocity as markers of severe aortic regurgitation: a hospital-based cohort study

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By Yuko Kato, Shinya Suzuki, Naomi Hirota, Takuto Arita, Naoharu Yagi, Takeshi Yamashita, Yasuo Okumura, Tokuhisa Uejima, Yuji Oikawa, Ran Sumida, Mikio Kishi, Hiroto Kano, Shunsuke Matsuno, Takayuki Otsuka, Junji Yajima
| Nature Verified
Abstract Severe aortic regurgitation (AR) causes characteristic peripheral hemodynamic changes. This study aimed to evaluate the association between vascular parameters and AR severity and determine whether ankle–brachial index (ABI) and brachial–ankle pulse wave velocity (baPWV) reflect these changes and can serve as markers for identifying severe AR.
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A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure

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By Rachel Kim, Andrew Kolodziej, Alicia Uijl, Tokuhisa Uejima
| Frontiers
1. Introduction Most patients with HFrEF have significant gaps in the prescribing of evidence-based medications (1–8). In the absence of intolerance or contraindications, many barriers to prescribing these medications have been described. Barriers include clinical inertia and patient characteristics such as certain thresholds for vitals or laboratory values, e.g., blood pressure and potassium (5, 8–11).
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