Mechanism and Prevention of Atrial Remodeling and Their Related Genes in Cardiovascular Disorders

Bhushan, Shanti; Ding, Weihao; Huang, Xin; Wu, Qinghui; Su, Xiufang; Gao, Ke; Xiao, Zhi

doi:10.1016/j.cpcardiol.2022.101414

Cited by 8 publications

(2 citation statements)

References 87 publications

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“…Social isolation, which is associated with age, may explain the prominent psychological disorders and impaired social support in patients with CHF (Yang et al, 2023). Considering the significant impact of psychological and environmental factors on patients beyond somatic symptoms, there is a growing call to improve the psychological and social functioning of patients alongside the management of the primary disease (Sandeep et al, 2023). Our findings further reaffirm and emphasize this appeal.…”

Section: Discussionsupporting

confidence: 68%

Network analysis of symptoms, physiological, psychological and environmental risk factors based on unpleasant symptom theory in patients with chronic heart failure

Wang,

Xu,

et al. 2024

Int J of Nursing Practice

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BackgroundSomatic symptoms and related factors in patients with chronic heart failure have been extensively researched. However, more insight into the complex interconnections among these constructs is needed, as most studies focus on them independently from each other.AimsThe aim of this study is to gain a comprehensive understanding of how somatic symptoms and related factors are interconnected among patients with chronic heart failure.MethodsA total of 379 patients were enrolled. Network analysis was used to explore the interconnections among the somatic symptoms and related risk factors.ResultsThe four core symptoms of chronic heart failure were daytime dyspnea, dyspnea when lying down, fatigue and difficulty sleeping. Within the network, the edge weights of depression–anxiety, subjective social support–objective social support, and subjective social support–social support availability were more significant than others. Among physiological, psychological and environmental factors, the edge weights of NYHA–dyspnea, depression–difficulty sleeping, and social support availability–dyspnea when lying down were more significant than others. Depression and anxiety had the highest centrality, indicating stronger and closer connections with other nodes.ConclusionsPsychological and environmental factors stood out in the network, suggesting the potential value of interventions targeting these factors to improve overall health.

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Section: Discussionsupporting

confidence: 68%

Network analysis of symptoms, physiological, psychological and environmental risk factors based on unpleasant symptom theory in patients with chronic heart failure

Wang,

Xu,

et al. 2024

Int J of Nursing Practice

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“…Overall, thrombogenic risk assessment in non-rheumatic atrial fibrillation is based on the CHA 2 DS 2 -VASc Score (Chronic Heart Failure, Hypertension, Age ≥ 75 years, Diabetes mellitus, prior Stroke or TIA or thromboembolism, Vascular disease, Age 65–74 years, Sex category (i.e., female sex)) [ 68 ]. Notably, patients with cardiovascular risk factors (CHA 2 DS 2 -VASc Score ≥ 2) and paroxysmal (self-terminating) or persistent (lasting more than seven days or requiring cardioversion) atrial fibrillation have a similar risk of stroke compared to patients with permanent atrial fibrillation, as prothrombogenic molecular atrial alterations persist even during periods of sinus rhythm in these populations [ 7 , 69 , 70 ]. Consequently, continuous anticoagulant medication is required in all three atrial fibrillation entities if CHA 2 DS 2 -VASc Score ≥ 2 [ 68 ].…”

Section: Biomarkers Of Atrial Cardiomyopathy: Serological Electrophys...mentioning

confidence: 99%

Atrial Cardiomyopathy in Valvular Heart Disease: From Molecular Biology to Clinical Perspectives

Molnár

Sánta

Pásztor

et al. 2023

Cells

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This review discusses the evolving topic of atrial cardiomyopathy concerning valvular heart disease. The pathogenesis of atrial cardiomyopathy involves multiple factors, such as valvular disease leading to atrial structural and functional remodeling due to pressure and volume overload. Atrial enlargement and dysfunction can trigger atrial tachyarrhythmia. The complex interaction between valvular disease and atrial cardiomyopathy creates a vicious cycle of aggravating atrial enlargement, dysfunction, and valvular disease severity. Furthermore, atrial remodeling and arrhythmia can predispose to atrial thrombus formation and stroke. The underlying pathomechanism of atrial myopathy involves molecular, cellular, and subcellular alterations resulting in chronic inflammation, atrial fibrosis, and electrophysiological changes. Atrial dysfunction has emerged as an essential determinant of outcomes in valvular disease and heart failure. Despite its predictive value, the detection of atrial fibrosis and dysfunction is challenging and is not included in the clinical routine. Transthoracic echocardiography and cardiac magnetic resonance imaging are the main diagnostic tools for atrial cardiomyopathy. Recently published data have revealed that both left atrial volumes and functional parameters are independent predictors of cardiovascular events in valvular disease. The integration of atrial function assessment in clinical practice might help in early cardiovascular risk estimation, promoting early therapeutic intervention in valvular disease.

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Clinical value of artificial intelligence 3D echocardiography in evaluating left atrial volume and pulmonary vein structure in patients with atrial fibrillation

Yang,

He,

Pang

et al. 2024

Clinics

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Mechanism and Prevention of Atrial Remodeling and Their Related Genes in Cardiovascular Disorders

Cited by 8 publications

References 87 publications

Network analysis of symptoms, physiological, psychological and environmental risk factors based on unpleasant symptom theory in patients with chronic heart failure

Network analysis of symptoms, physiological, psychological and environmental risk factors based on unpleasant symptom theory in patients with chronic heart failure

Atrial Cardiomyopathy in Valvular Heart Disease: From Molecular Biology to Clinical Perspectives

Clinical value of artificial intelligence 3D echocardiography in evaluating left atrial volume and pulmonary vein structure in patients with atrial fibrillation

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