Gait Speed and Mood, Cognition, and Quality of Life in Older Adults With Atrial Fibrillation

Marino, Francesca; Lessard, Darleen M.; Saczynski, Jane S.; McManus, David D.; Silverman-Lloyd, Luke G; Benson, Christopher M.; Blaha, Michael J.; Waring, Molly E.

doi:10.1161/jaha.119.013212

Cited by 35 publications

(25 citation statements)

References 31 publications

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“…Considering the specificity of our cohort, that is, elderly AF patients, our results were in line with those of the only study that showed a direct association between gait and cognition in this population (20). Marino and colleagues found that, among the 1,185 AF participants aged ≥65 years, those with low gait speed were significantly more likely to have cognitive impairment independently from several demographic and clinical characteristics.…”

Section: Discussionsupporting

confidence: 88%

“…Furthermore, preliminary data are emerging also on the association between AF and reduced mobility in older adults independently of comorbidities and frailty markers (17)(18)(19). Only one recent study by Marino and colleagues directly assessed the association between a reduced gait speed and the presence of cognitive impairment in a population of elderly patients with AF (20). Their results confirmed such association independently from several demographic and clinical characteristics, and the authors concluded that physical changes in gait could be related to declines in the cognitive domains that regulate several gait elements as previously documented in literature on neurologic diseases.…”

Section: Introductionmentioning

confidence: 99%

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Association Between Motor and Cognitive Performances in Elderly With Atrial Fibrillation: Strat-AF Study

et al. 2020

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Association Between Motor and Cognitive Performances in Elderly With Atrial Fibrillation: Strat-AF Study

et al. 2020

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“…We used baseline data from the prospective multi-center study entitled "Systematic Assessment of Geriatric Elements in AF (SAGE-AF)". Details of participant recruitment and study protocols have been described previously [18][19][20]. Participants were recruited from three medical centers in Massachusetts and two medical centers in Central Georgia between 2015 and 2018.…”

Section: Study Populationmentioning

confidence: 99%

Multimorbidity, physical frailty, and self-rated health in older patients with atrial fibrillation

et al. 2020

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Background Holistic care models emphasize management of comorbid conditions to improve patient-reported outcomes in treatment of atrial fibrillation (AF). We investigated relations between multimorbidity, physical frailty, and self-rated health (SRH) among older adults with AF. Methods Patients (n = 1235) with AF aged 65 years and older were recruited from five medical centers in Massachusetts and Georgia between 2015 and 2018. Ten previously diagnosed cardiometabolic and 8 non-cardiometabolic conditions were assessed from medical records. Physical Frailty was assessed with the Cardiovascular Health Study frailty scale. SRH was categorized as either “excellent/very good”, “good”, and “fair/poor”. Separate multivariable ordinal logistic models were used to examine the associations between multimorbidity and SRH, physical frailty and SRH, and multimorbidity and physical frailty. Results Overall, 16% of participants rated their health as fair/poor and 14% were frail. Hypertension (90%), dyslipidemia (80%), and heart failure (37%) were the most prevalent cardiometabolic conditions. Arthritis (51%), anemia (31%), and cancer (30%), the most common non-cardiometabolic diseases. After multivariable adjustment, patients with higher multimorbidity were more likely to report poorer health status (Odds Ratio (OR): 2.15 [95% CI: 1.53–3.03], ≥ 8 vs 1–4; OR: 1.37 [95% CI: 1.02–1.83], 5–7 vs 1–4), as did those with more prevalent cardiometabolic and non-cardiometabolic conditions. Patients who were pre-frail (OR: 1.73 [95% CI: 1.30–2.30]) or frail (OR: 6.81 [95% CI: 4.34–10.68]) reported poorer health status. Higher multimorbidity was associated with worse frailty status. Conclusions Multimorbidity and physical frailty were common and related to SRH. Our findings suggest that holistic management approaches may influence SRH among older patients with AF.

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“…Patients with AF had low gait speed, and low gait speed has been linked with impaired mood, cognition, and quality of life. 21 The presence of AF influences negatively the quality of life, as it remains symptomatic in about twothirds of patients despite them receiving medical treatment. 22 Previous studies investigating the impact of AF on HRQoL found poorer HRQoL in AF patients compared to the general population.…”

Section: Introductionmentioning

confidence: 99%

<p>Quality of Life and Frailty Syndrome in Patients with Atrial Fibrillation</p>

Sławuta¹,

Polański²,

Mazur³

et al. 2020

CIA

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Introduction: Atrial fibrillation (AF) and frailty syndrome (FS) are a part of the aging process. Both are still of great importance in the assessment of quality of life (QoL). There is definitely a lack of research clarifying the association between FS and QoL in AF patients. Objective: The aim of this study was to evaluate the influence of FS on QoL in AF patients. Materials and Methods: The retrospective and observational study included 158 inpatients with mean age 69.8±7.1 years, treated for AF in the cardiac department from 1 April 2019 to 31 June 2019. The following instruments were used: the Arrhythmia-Specific Questionnaire in Tachycardia and Arrhythmia (ASTA) and the Edmonton Frail Scale (EFS). Results: The mean level of frailty in the study group was 8.5±5.0. In 25.9% of patients, the level of frailty was mild, in 10.1% moderate, and in 17.1% severe. Patients were divided into two groups based on their frailty status. In comparative analysis of the QoL, there were significant differences between the groups: the frail group had more intense symptoms of arrhythmia than the non-frail group (14.9±4.1 vs 11.9±4.9; p<0.001). In the analysis of the total score impact of arrhythmia on QoL, the frail group had a significantly higher score than the non-frail group (23.5±5.2 vs 14.5±5.5), which confirmed the stronger negative impact of arrhythmia on QoL. In the regression coefficient analysis, the independent predictor of symptom severity and QoL was FS. However, we observed a negative impact of diabetes, which increased the impact of arrhythmia on QoL, and physical activity, which improved QoL and decreased the impact of symptoms on everyday life. Conclusion: Patients in the frail group have worse QoL and higher impact of arrhythmia on QoL in comparison to patients in the non-frail group. Frailty is an independent predictor of higher intensity of symptoms of arrhythmia and worse QoL. Diabetes and physical activity are predictors of QoL for patients with AF.

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Gait Speed and Mood, Cognition, and Quality of Life in Older Adults With Atrial Fibrillation

Cited by 35 publications

References 31 publications

Association Between Motor and Cognitive Performances in Elderly With Atrial Fibrillation: Strat-AF Study

Association Between Motor and Cognitive Performances in Elderly With Atrial Fibrillation: Strat-AF Study

Multimorbidity, physical frailty, and self-rated health in older patients with atrial fibrillation

<p>Quality of Life and Frailty Syndrome in Patients with Atrial Fibrillation</p>

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