Relation of atrial arrhythmia-related symptoms to health-related quality of life in patients with newly diagnosed atrial fibrillation: A community hospital-based cohort

Kang, Younhee

doi:10.1016/j.hrtlng.2006.01.002

Cited by 22 publications

(18 citation statements)

References 28 publications

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“…104 Although studies have demonstrated significantly improved QOL after therapeutic intervention, in general there does not seem to be a significant difference between a management strategy aiming to control ventricular rate and a strategy of rhythm control (ie, interventions to convert AF and maintain sinus rhythm). 107,109,110 This is despite the observations that (1) restoration of sinus rhythm increases scores for physical functioning, vitality, mental health, and role-emotional 104,106,108,111,112 and (2) AF recurrences have a significant and negative effect on global well-being, 104,106,108,111,112 thus suggesting that the lack of observed QOL benefit may reflect deficiencies of the contemporary rhythm-control toolset rather than the strategy itself.…”

Section: Symptoms and Qolmentioning

confidence: 97%

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The Clinical Profile and Pathophysiology of Atrial Fibrillation

Andrade

Khairy

Dobrev

et al. 2014

Circulation Research

982

364

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Atrial fibrillation (AF) is the most common arrhythmia (estimated lifetime risk, 22%–26%). The aim of this article is to review the clinical epidemiological features of AF and to relate them to underlying mechanisms. Long-established risk factors for AF include aging, male sex, hypertension, valve disease, left ventricular dysfunction, obesity, and alcohol consumption. Emerging risk factors include prehypertension, increased pulse pressure, obstructive sleep apnea, high-level physical training, diastolic dysfunction, predisposing gene variants, hypertrophic cardiomyopathy, and congenital heart disease. Potential risk factors are coronary artery disease, kidney disease, systemic inflammation, pericardial fat, and tobacco use. AF has substantial population health consequences, including impaired quality of life, increased hospitalization rates, stroke occurrence, and increased medical costs. The pathophysiology of AF centers around 4 general types of disturbances that promote ectopic firing and reentrant mechanisms, and include the following: (1) ion channel dysfunction, (2) Ca 2+ -handling abnormalities, (3) structural remodeling, and (4) autonomic neural dysregulation. Aging, hypertension, valve disease, heart failure, myocardial infarction, obesity, smoking, diabetes mellitus, thyroid dysfunction, and endurance exercise training all cause structural remodeling. Heart failure and prior atrial infarction also cause Ca 2+ -handling abnormalities that lead to focal ectopic firing via delayed afterdepolarizations/triggered activity. Neural dysregulation is central to atrial arrhythmogenesis associated with endurance exercise training and occlusive coronary artery disease. Monogenic causes of AF typically promote the arrhythmia via ion channel dysfunction, but the mechanisms of the more common polygenic risk factors are still poorly understood and under intense investigation. Better recognition of the clinical epidemiology of AF, as well as an improved appreciation of the underlying mechanisms, is needed to develop improved methods for AF prevention and management.

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Section: Symptoms and Qolmentioning

confidence: 97%

“…[104][105][106][107][108] In addition, AF is associated with a significantly reduced exercise capacity. 106 Even in the perceived absence of symptoms, patients with AF express reduced global life satisfaction.…”

Section: Symptoms and Qolmentioning

confidence: 99%

The Clinical Profile and Pathophysiology of Atrial Fibrillation

Andrade

Khairy

Dobrev

et al. 2014

Circulation Research

982

364

View full text Add to dashboard Cite

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“…Furthermore, these papers also emphasised the importance and difficulties in working with the concept. Five of the papers used the WHO definition [3,31,32,38,60], and multidimensional aspects were also included in their arguments. The paper written by McCabe et al [73] examplified the importance of including qualitative descriptive perspectives as well, when working with the concept of QOL.…”

Section: The Text Close Analysis Levelmentioning

confidence: 99%

“…Most of the papers were written by physicians with the exception of four that were written by nurses [31,32,44,73]. Two were written by nurses and doctors in collaboration [45,64], and one paper was written by a psychologist [30].…”

Section: The Communicative Analysis Levelmentioning

confidence: 99%

Quality of Life - Exemplified through Patients Living with Atrial Fibrillation

et al. 2014

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Background: Health-related quality of life is a frequently assessed patient-reported outcome in the current literature on patients living with atrial fibrillation. Originally, quality of life is an abstract, complex concept, and there is no consensus on a final definition of it. Considering overall quality of life to be assessable using a standardised tool may lead to the loss of valuable knowledge about the patients' individual lived experiences.

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“…Specific studies have also shown that poor physical health is associated with CVD that range from hypertension, atrial fibrillation, angina, myocardial infarction to heart failure. Some studies indicate that poor health in hypertension is unexplained by socio-demographic factors or comorbidity [13], in atrial fibrillation is dependent on the severity of symptoms [14], in angina patients is associated with depression and anxiety [15], and in myocardial infarction or heart failure is associated with poor health care outcomes [16,17]. …”

Section: Introductionmentioning

confidence: 99%

Comorbidity Cohort (2C) study: Cardiovascular disease severity and comorbid osteoarthritis in primary care

Prior

Rushton

Jordan

et al. 2012

BMC Health Serv Res

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BackgroundTwo of the commonest chronic diseases experienced by older people in the general population are cardiovascular diseases and osteoarthritis. These conditions also commonly co-occur, which is only partly explained by age. Yet, there have been few studies investigating specific a priori hypotheses in testing the comorbid interaction between two chronic diseases and related health and healthcare outcomes. It is also unknown whether the stage or severity of the chronic disease influences the comorbidity impact. The overall plan is to investigate the interaction between cardiovascular severity groups (hypertension, ischaemic heart disease and heart failure) and osteoarthritis comorbidity, and their longitudinal impact on health and healthcare outcomes relative to either condition alone.MethodsFrom ten general practices participating in a research network, adults aged 40 years and over were sampled to construct eight exclusive cohort groups (n = 9,676). Baseline groups were defined on the basis of computer clinical diagnostic data in a 3-year time-period (between 2006 and 2009) as: (i) without cardiovascular disease or osteoarthritis (reference group), (ii) index cardiovascular disease groups (hypertension, ischaemic heart disease and heart failure) without osteoarthritis, (iii) index osteoarthritis group without cardiovascular disease, and (vi) index cardiovascular disease groups comorbid with osteoarthritis. There were three main phases to longitudinal follow-up. The first (survey population) was to invite cohorts to complete a baseline postal health questionnaire, with 10 monthly brief interval health questionnaires, and a final 12-month follow-up questionnaire. The second phase (linkage population) was to link the collected survey data to patient clinical records with consent for the 3-year time-period before baseline, during the 12-month survey period and the 12 months after final questionnaire (total 5 years). The third phase (denominator population) was to construct an anonymised clinical data archive for the study five year period for the total baseline cohorts, linking clinical information such as diagnosis, prescriptions and referrals.DiscussionThe outcomes of the study will result in the determination of the specific interaction between cardiovascular severity and osteoarthritis comorbidity on the change and progression of physical health status in individuals and on the linked and associated clinical-decision making process in primary care.

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Relation of atrial arrhythmia-related symptoms to health-related quality of life in patients with newly diagnosed atrial fibrillation: A community hospital-based cohort

Cited by 22 publications

References 28 publications

The Clinical Profile and Pathophysiology of Atrial Fibrillation

The Clinical Profile and Pathophysiology of Atrial Fibrillation

Quality of Life - Exemplified through Patients Living with Atrial Fibrillation

Comorbidity Cohort (2C) study: Cardiovascular disease severity and comorbid osteoarthritis in primary care

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