Characteristics associated with poor atrial fibrillation-related quality of life in adults with atrial fibrillation.

PURPOSE: Few studies have examined the relationship between poor atrial fibrillation-related quality of life (AFQoL) and a battery of geriatric factors. The objective of this study is to describe factors associated with poor AFQoL in older adults with atrial fibrillation (AF) with a focus on sociodemographic and clinical factors and a battery of geriatric factors. METHODS: Cross-sectional analysis of a prospective cohort study of participants aged 65+ with high stroke risk and AF. AFQoL was measured using the validated Atrial Fibrillation Effect on Quality of Life (score 0-100) and categorized as poor (<80) or good (80-100). Chi-square and t -tests evaluated differences in factors across poor AFQoL and significant characteristics ( P  < 0.05) were entered into a logistic regression model to identify variables related to poor AFQoL. RESULTS: Of 1244 participants (mean age 75.5), 42% reported poor AFQoL. Falls in the past 6 months, pre/frail and frailty, depression, anxiety, social isolation, vision impairment, oral anticoagulant therapy, rhythm control, chronic obstructive pulmonary disease and polypharmacy were associated with higher odds of poor AFQoL. Marriage and college education were associated with a lower odds of poor AFQoL. CONCLUSIONS: More than 4 out of 10 older adults with AF reported poor AFQoL. Geriatric factors associated with higher odds of reporting poor AFQoL include recent falls, frailty, depression, anxiety, social isolation and vision impairment. Findings from this study may help clinicians screen for patients with poor AFQoL who could benefit from tailored management to ensure the delivery of patient-centered care and improved well being among older adults with AF.

Medication cost-reducing behaviors in older adults with atrial fibrillation: The SAGE-AF study.

BACKGROUND: As patient prices for many medications have risen steeply in the United States, patients may engage in cost-reducing behaviors (CRBs) such as asking for generic medications or purchasing medication from the Internet. OBJECTIVE: The objective of this study is to describe patterns of CRB, cost-related medication nonadherence, and spending less on basic needs to afford medications among older adults with atrial fibrillation (AF) and examine participant characteristics associated with CRB. METHODS: Data were from a prospective cohort study of older adults at least 65 years with AF and a high stroke risk (CHA2DS2VASc ≥ 2). CRB, cost-related medication nonadherence, and spending less on basic needs to afford medications were evaluated using validated measures. Chi-square and t tests were used to evaluate differences in characteristics across CRB, and statistically significant characteristics (P < 0.05) were entered into a multivariable logistic regression to examine factors associated with CRB. RESULTS: Among participants (N = 1224; mean age 76 years; 49% female), 69% reported engaging in CRB, 4% reported cost-related medication nonadherence, and 6% reported spending less on basic needs. Participants who were cognitively impaired (adjusted odds ratio 0.69 [95% CI 0.52-0.91]) and those who did not identify as non-Hispanic white (0.66 [0.46-0.95]) were less likely to engage in CRB. Participants who were married (1.88 [1.30-2.72]), had a household income of $20,000-$49,999 (1.52 [1.02-2.27]), had Medicare insurance (1.38 [1.04-1.83]), and had 4-6 comorbidities (1.43 [1.01-2.01]) had significantly higher odds of engaging in CRB. CONCLUSION: Although CRBs were common among older adults with AF, few reported cost-related medication nonadherence and spending less on basic needs. Patients with cognitive impairment may benefit from pharmacist intervention to provide support in CRB and patient assistance programs.

A cross-sectional analysis of racial differences in accelerated aging and cognitive function among patients with atrial fibrillation: The SAGE-AF study: Forrester, Accelerated aging and cognitive function.

BACKGROUND: Non-Whites are more likely to suffer from cognitive impairment and complications of atrial fibrillation (AF) than Whites, though Whites are more likely to be diagnosed with AF. We examined whether non-Whites with AF are biologically older than Whites with AF and whether accelerated biological aging is associated with cognitive functioning. METHODS: We used baseline data from the ongoing Systematic Assessment of Geriatric Elements in Atrial Fibrillation prospective cohort study, collected 2016-2020 across ambulatory care practices in Massachusetts and Georgia. Of 1244 enrolled, 974 participants with full biological data were included in the present analysis. Accelerated aging (AccA) was calculated based on a combination of biomarkers associated with age and physiological "wear and tear." FINDINGS: The main outcome was score on Montreal Cognitive Assessment (MoCA). Non-Whites had 2.9 years more AccA than Whites and higher AccA was associated with a lower MoCA score among both Whites (-0.06, 95% CI: -0.10, -0.03) and non-Whites (-0.14, 95% CI: -0.27, 0.02). This association was significantly greater among non-whites (-0.11, 95% CI: -0.20, -0.01). INTERPRETATION: Non-White AF patients are functionally "older" than their White counterparts and experience a stronger deleterious association between AccA and cognition. These findings underscore the importance of taking functional age into account when treating patients with AF, particularly non-White patients, to enhance treatment and improve AF outcomes.

Differences in Perceived and Predicted Bleeding Risk in Older Adults With Atrial Fibrillation: The SAGE-AF Study.

Background Little research has evaluated patient bleeding risk perceptions in comparison with calculated bleeding risk among oral anticoagulant users with atrial fibrillation. Our objective was to investigate underestimation of bleeding risk and to describe the characteristics and patient-reported outcomes associated with underestimation of bleeding risk. Methods and Results In the SAGE-AF (Systematic Assessment of Geriatric Elements in Atrial Fibrillation) study, a prospective cohort study of patients ≥65 years with atrial fibrillation, a CHA2DS2-VASc risk score ≥2 and who were on oral anticoagulant therapy, we compared patients' self-reported bleeding risk with their predicted bleeding risk from their HAS-BLED score. Among the 754 participants (mean age 74.8 years, 48.3% women), 68.0% underestimated their bleeding risk. Participants who were Asian or Pacific Islander, Black, Native American or Alaskan Native, Mixed Race or Hispanic (non-White) (adjusted OR [AOR], 0.45; 95% CI, 0.24-0.82) and women (AOR, 0.62; 95% CI, 0.40-0.95) had significantly lower odds of underestimating their bleeding risk than respective comparison groups. Participants with a history of bleeding (AOR, 3.07; 95% CI, 1.73-5.44) and prior hypertension (AOR, 4.33; 95% CI, 2.43-7.72), stroke (AOR, 5.18; 95% CI, 1.87-14.40), or renal disease (AOR, 5.05; 95% CI, 2.98-8.57) had significantly higher odds of underestimating their bleeding risk. Conclusions We found that more than two-thirds of patients with atrial fibrillation on oral anticoagulant therapy underestimated their bleeding risk and that participants with a history of bleeding and several comorbid conditions were more likely to underestimate their bleeding risk whereas non-Whites and women were less likely to underestimate their bleeding risk. Clinicians should ensure that patients prescribed oral anticoagulant therapy have a thorough understanding of bleeding risk.

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

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.

Impact of comorbid conditions on disease-specific quality of life in older men and women with atrial fibrillation.

BACKGROUND: Older persons with atrial fibrillation (AF) experience significant impairment in quality of life (QoL), which may be partly attributable to their comorbid diseases. A greater understanding of the impact of comorbidities on QoL could optimize patient-centered care among older persons with AF. OBJECTIVE: To assess impairment in disease-specific QoL due to comorbid conditions in older adults with AF. METHODS: Patients aged ≥ 65 years diagnosed with AF were recruited from five medical centers in Massachusetts and Georgia between 2015 and 2018. At 1 year of follow-up, the Quality of Life Disease Impact Scale-for Multiple Chronic Conditions was used to provide standardized assessment of patient self-reported impairment in QoL attributable to 34 comorbid conditions grouped in 10 clusters. RESULTS: The mean age of study participants (n = 1097) was 75 years and 48% were women. Overall, cardiometabolic, musculoskeletal, and pulmonary conditions were the most prevalent comorbidity clusters. A high proportion of participants (82%) reported that musculoskeletal conditions exerted the greatest impact on their QoL. Men were more likely than women to report that osteoarthritis and stroke severely impacted their QoL. Patients aged < 75 years were more likely to report that obesity, hip/knee joint problems, and fibromyalgia extremely impacted their QoL than older participants. CONCLUSIONS: Among older persons with AF, while cardiometabolic diseases were highly prevalent, musculoskeletal conditions exerted the greatest impact on patients' disease-specific QoL. Understanding the extent of impairment in QoL due to underlying comorbidities provides an opportunity to develop interventions targeted at diseases that may cause significant impairment in QoL.