Keigo Dote

Association Between Barthel Index and Delirium During Hospitalization in Older Patients with Acute Decompensated Heart Failure

Michiaki Nagai, Keigo Dote, Masaya Kato, Noboru Oda et autres

Background: Although delirium is an acute confusional state, the available literature identifies impaired activities of daily living (ADL) as a predisposing factor. However, the question of whether ADL is associated with delirium in older patients with heart failure (HF) has not been …

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The Insular Cortex and Interoception in Cardiovascular Disease: Insights into the Neural Correlates of Consciousness

Michiaki Nagai, Keigo Dote

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Increased blood pressure variability - A risk of Alzheimer’s disease?

Michiaki Nagai, Keigo Dote, Tarun W. Dasari

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Central Pressure Variability After Low-Level Tragus Stimulation in Acute Decompensated Heart Failure

Michiaki Nagai, Keigo Dote, Masaya Kato, Shota Sasaki et autres

BACKGROUND: Increased variability in central aortic systolic pressure (CASP) and pulse pressure (PP) are predictors of poor cardiovascular disease outcomes. Low-level tragus stimulation (LLTS) is a noninvasive method to reduce sympathetic tone via vagal afferent fibers. It is unknown if LLTS has …

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Age-Stratified Effect of Rivaroxaban Monotherapy for Atrial Fibrillation in Stable Coronary Artery Disease

Junichi Yamaguchi, Hiroyuki Arashi, Nobuhisa Hagiwara, Satoshi Yasuda et autres

Importance: Antithrombotic therapy is crucial for older patients with coronary artery disease (CAD) and atrial fibrillation (AF) who are at a high risk of bleeding and thrombotic events. Objective: To examine the age-stratified effects of rivaroxaban monotherapy compared with those of rivaroxaban …

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Day-to-Day Blood Pressure Variability and Cognitive Function in the Elderly With Acute Heart Failure

Michiaki Nagai, Keigo Dote, Masaya Kato, Noboru Oda et autres

BACKGROUND: Heart failure (HF) and cognitive impairment often occur together in older adults. Although earlier studies have reported an association between blood pressure (BP) variability (BPV) and cognitive impairment, the underlying pathophysiology remains unclear in HF. In this study, the hypothesis that …

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Deep learning for cardiac abnormalities in chest X-rays: performance metrics with imbalanced data and extracardiac objects

Eisuke Kagawa, Masaya Kato, Keigo Dote

This commentary refers to ‘Deep learning to detect left ventricular structural abnormalities in chest X-rays’, by S. Bhave et al., https://doi.org/10.1093/eurheartj/ehad782 and the discussion piece ‘Novel technology, novel challenges: How do we compare the performance of artificial intelligence to human experts?’, by …

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Afterload Reduction After Non-invasive Low-level Tragus Stimulation In Acute Heart Failure

Michiaki Nagai, Keigo Dote, Masaya Kato, Shota Sasaki et autres

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Vagal Neuromodulation on Ventricular Mechanics in Takotsubo Syndrome: A First-in-Human Proof-of-Concept Study

Michiaki Nagai, Yuki Yoshitomi, Masaya Kato, Noboru Oda et autres

Nagai, Michiaki MD, PhD; Yoshitomi, Yuki MD; Kato, Masaya MD, PhD; Oda, Noboru MD, PhD; Dote, Keigo MD, PhD; Po, Sunny S. MD, PhD; Dasari, Tarun W. MD, MPH Author Information

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Blood Pressure Variability After Non-invasive Low-level Tragus Stimulation in Acute Heart Failure

Michiaki Nagai, Keigo Dote, Masaya Kato, Shota Sasaki et autres

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Predicting elevated natriuretic peptide in chest radiography: emerging utilization gap for artificial intelligence

Eisuke Kagawa, Masaya Kato, Noboru Oda, Eiji Kunita et autres

Abstract Aims This study assessed an artificial intelligence (AI) model’s performance in predicting elevated brain natriuretic peptide (BNP) levels from chest radiograms and its effect on diagnostic performance among healthcare professionals. Methods and results Patients who underwent chest radiography and BNP testing …

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Abstract 11601: Does Artificial Intelligence Dream of Elevated Natriuretic Peptide in Chest Radiography?

Eisuke Kagawa, Masaya Kato, Noboru Oda, Eiji Kunita et autres

Introduction: Heart failure pandemic is a medical issue, and its diagnosis can be challenging. Hypothesis: To assess the hypothesis that the artificial intelligence (AI) model for predicting elevated brain natriuretic peptide (BNP) levels from chest X-ray images has sufficient performance and could …

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