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Challenges and Opportunities for Atrial Fibrillation Management
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作者 minsi cai Jordi Heijman 《Cardiology Discovery》 2025年第2期149-161,共13页
Atrial fibrillation(AF)is the most common sustained arrhythmia worldwide and is associated with poor clinical outcomes and a huge economic burden on healthcare systems.Optimized anticoagulation,better symptom control ... Atrial fibrillation(AF)is the most common sustained arrhythmia worldwide and is associated with poor clinical outcomes and a huge economic burden on healthcare systems.Optimized anticoagulation,better symptom control via rhythm or rate control,and comprehensive comorbidity/risk factor management are 3 essential pillars of current AF management,where much progress has been made during the past decades.However,numerous challenges in AF management remain at the disease,patient,and population levels,including an incomplete understanding of basic mechanisms that can be clinically targeted;heterogenous progressive natural history;poor correlation between rhythm and symptoms/outcomes;as well as suboptimal detection methods and treatment options.Recent advances in disease perception in combination with modern monitoring devices,state-of-the art computational models,and novel antiarrhythmic drugs and ablation strategies can contribute to addressing these issues,ultimately leading to a paradigm shift in AF diagnosis,classification,and treatment.This narrative review summarizes these key challenges and future opportunities in the field of AF management. 展开更多
关键词 Atrial fibrillation ANTICOAGULATION PATHOPHYSIOLOGY Precision medicine Rhythm control Translational challenges
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Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity 被引量:1
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作者 Yuan Xi Sijing Cheng +8 位作者 Shengyu Chao Yiran Hu minsi cai Yang Zou Zhuo Liu Wei Hua Puchuan Tan Yubo Fan Zhou Li 《Nano Research》 SCIE EI CSCD 2023年第9期11674-11681,共8页
Atrial fibrillation(AF)is a common and serious disease.Its diagnosis usually requires 12-lead electrocardiogram,which is heavy and inconvenient.At the same time,the venue for diagnosis is also limited to the hospital.... Atrial fibrillation(AF)is a common and serious disease.Its diagnosis usually requires 12-lead electrocardiogram,which is heavy and inconvenient.At the same time,the venue for diagnosis is also limited to the hospital.With the development of the concept of intelligent medical,a wearable,portable,and reliable diagnostic method is needed to improve the patient’s comfort and alleviate the patient’s pain.Here,we reported a wearable atrial fibrillation prediction wristband(AFPW)which can provide longterm monitoring and AF diagnosis.AFPW uses polyvinylidene fluoride piezoelectric film as sensing material and hydrogel as skin bonding material,of which the structure and design have been optimized and improved.The hydrogel skin bonding layer has good stability and skin affinity,which can greatly improve the user experience.AFPW has enhanced signal,strong signal-tonoise ratio,and wireless transmission function.After a sample library of 385 normal people/patients is analyzed and tested by linear discriminant analysis,the diagnostic success rate of atrial fibrillation is 91%.All these excellent performances demonstrate the great application potential of AFPW in wearable device diagnosis and intelligent medical treatment. 展开更多
关键词 PIEZOELECTRICITY atrial fibrillation prediction machine learning WRISTBAND
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