Long-term individual and population functional outcomes in older adults with atrial fibrillation

Management of atrial fibrillation in older adults

Most people with atrial fibrillation are older adults, in whom atrial fibrillation co-occurs with other chronic conditions, polypharmacy, and geriatric syndromes such as frailty. Yet most randomized controlled trials and expert guidelines use an age agnostic approach. Given the heterogeneity of aging, these data may not be universally applicable across the spectrum of older adults. This review synthesizes the available evidence and applies rigorous principles of aging science. After contextualizing the burden of comorbidities and geriatric syndromes in people with atrial fibrillation, it applies an aging focused approach to the pillars of atrial fibrillation management, describing screening for atrial fibrillation, lifestyle interventions, symptoms and complications, rate and rhythm control, coexisting heart failure, anticoagulation therapy, and left atrial appendage occlusion devices. Throughout, a framework is suggested that prioritizes patients' goals and applies existing evidence to all older adults, whether atrial fibrillation is their sole condition, one among many, or a bystander at the end of life.

Identifying a Heterogeneous Effect of Atrial Fibrillation Screening in Older Adults: A Secondary Analysis of the VITAL-AF Trial

Background

One-time atrial fibrillation (AF) screening trials have produced mixed results; however, it is unclear if there is a subset for whom screening is effective. Identifying such a subgroup would support targeted screening.

Methods

We conducted a secondary analysis of VITAL-AF, a randomized trial of one-time, single-lead ECG screening during primary care visits. We tested two approaches to identify a subgroup where screening is effective. First, we developed an effect-based model using a T-learner. Specifically, we separately predicted the likelihood of AF diagnosis under screening and usual care conditions; the difference in probabilities was the predicted screening effect. Second, we used a validated AF risk model to test for a heterogeneous screening effect. We used interaction testing to determine if observed AF diagnosis rates in the screening and usual care groups differed when stratified by decile of the predicted screening effect and predicted AF risk.

Results

Baseline characteristics were similar between the screening (n=15187) and usual care (n=15078) groups (mean age 74 years, 59% female). In the effect-based analysis, in the highest decile of predicted screening effectiveness (n=3026), AF diagnosis rates were higher in the screening group (6.50 vs. 3.06 per 100 person-years, rate difference 3.45, 95%CI 1.62 to 5.28). In this group, the mean age was 84 years and 68% were female. The risk-based analysis did not identify a subgroup where screening was more effective. Predicted screening effectiveness and predicted baseline AF risk were poorly correlated (Spearman coefficient 0.13).

Conclusions

In a secondary analysis of the VITAL-AF trial, we identified a small subgroup where one-time screening was associated with increased AF diagnoses using an effect-based approach. In this study, predicted AF risk was a poor proxy for predicted screening effectiveness. These data caution against the assumption that high AF risk is necessarily correlated with high screening effectiveness.

Interactions between patterns of multimorbidity and functional status among hospitalized older patients: a novel approach using cluster analysis and association rule mining

BACKGROUND

Multimorbidity (MM) is generally defined as the presence of 2 or more chronic diseases in the same patient and seems to be frequently associated with frailty and poor quality of life. However, the complex interplay between MM and functional status in hospitalized older patients has not been fully elucidated so far. Here, we implemented a 2-step approach, combining cluster analysis and association rule mining to explore how patterns of MM and disease associations change as a function of disability.

METHODS

This retrospective cohort study included 3366 hospitalized older patients discharged from acute care units of Ancona and Cosenza sites of Italian National Institute on Aging (INRCA-IRCCS) between 2011 and 2017. Cluster analysis and association rule mining (ARM) were used to explore patterns of MM and disease associations in the whole population and after stratifying by dependency in activities of daily living (ADL) at discharge. Sensitivity analyses in men and women were conducted to test for robustness of study findings.

RESULTS

Out of 3366 included patients, 78% were multimorbid. According to functional status, 22.2% of patients had no disability in ADL (functionally independent group), 22.7% had 1 ADL dependency (mildly dependent group), and 57.4% 2 or more ADL impaired (moderately-severely dependent group). Two main MM clusters were identified in the whole general population and in single ADL groups. ARM revealed interesting within-cluster disease associations, characterized by high lift and confidence. Specifically, in the functionally independent group, the most significant ones involved atrial fibrillation (AF)-anemia and chronic kidney disease (CKD) (lift = 2.32), followed by coronary artery disease (CAD)-AF and heart failure (HF) (lift = 2.29); in patients with moderate-severe ADL disability, the most significant ARM involved CAD-HF and AF (lift = 1.97), thyroid dysfunction and AF (lift = 1.75), cerebrovascular disease (CVD)-CAD and AF (lift = 1.55), and hypertension-anemia and CKD (lift = 1.43).

CONCLUSIONS

Hospitalized older patients have high rates of MM and functional impairment. Combining cluster analysis to ARM may assist physicians in discovering unexpected disease associations in patients with different ADL status. This could be relevant in the view of individuating personalized diagnostic and therapeutic approaches, according to the modern principles of precision medicine.

Resilience, Survival, and Functional Independence in Older Adults Facing Critical Illness

BACKGROUND

Older adults surviving critical illness often experience new or worsening functional impairments. Modifiable positive psychological constructs such as resilience may mitigate post-intensive care morbidity.

RESEARCH QUESTION

Is pre-ICU resilience associated with: (1) post-ICU survival; (2) the drop in functional independence during the ICU stay; or (3) the trend in predicted independence before vs after the ICU stay?

STUDY DESIGN AND METHODS

This retrospective cohort study was performed by using Medicare-linked Health and Retirement Study surveys from 2006 to 2018. Older adults aged ≥ 65 years admitted to an ICU were included. Resilience was calculated prior to ICU admission. The resilience measure was defined from the Simplified Resilience Score, which was previously adapted and validated for the Health and Retirement Study. Resilience was scored by using the Leave-Behind survey normalized to a scale from 0 (lowest resilience) to 12 (highest resilience). Outcomes were survival and probability of functional independence. Survival was modeled by using Gompertz models and independence using joint survival models adjusting for sociodemographic and clinical variables. Average marginal effects were estimated to determine independence probabilities.

RESULTS

Across 3,409 patients aged ≥ 65 years old admitted to ICUs, preexisting frailty (30.5%) and cognitive impairment (24.3%) were common. Most patients were previously independent (82.7%). Mechanical ventilation occurred in 14.8% and sepsis in 43.2%. Those in the highest resilience group (vs lowest resilience) had a lower risk of post-ICU mortality (adjusted hazard ratio, 0.81; 95% CI, 0.70-0.94). Higher resilience was associated with greater likelihood of post-ICU functional independence (estimated probability of functional independence 5 years after ICU discharge in highest-to-lowest resilience groups (adjusted hazard ratio [95% CI]): 0.53 (0.33-0.74), 0.47 (0.26-0.68), 0.49 (0.28-0.70), and 0.36 (0.17-0.55); P < .01. Resilience was not associated with a difference in the drop in independence during the ICU stay or a difference in the pre-ICU vs post-ICU trend in predicted independence .

INTERPRETATION

ICU survivors with higher resilience had increased rates of survival and functional independence, although the slope of functional decline before vs after the ICU stay did not differ according to resilience group.

Predictors and Outcomes of Oral Anticoagulant Deprescribing in Geriatric Inpatients With Atrial Fibrillation: A Retrospective Multicenter Cohort Study

OBJECTIVE

To investigate prevalence and predictors of oral anticoagulant therapy (OAT) deprescribing in older inpatients with atrial fibrillation (AF), and its association with 1-year incidence of major clinical outcomes.

DESIGN

Multicenter retrospective cohort study.

SETTING AND PARTICIPANTS

Inpatients aged ≥75 years with known AF on OAT at admission discharged from 3 Italian acute geriatric wards between January 2014 and July 2018.

METHODS

Data from a routine Comprehensive Geriatric Assessment (CGA), along with OAT status at discharge were recorded. One-year incidence of all-cause death, stroke or systemic embolism (SSE), and major and clinically relevant nonmajor bleeding (MB/CRNMB) were retrieved from administrative databases. Associations were explored through multilevel analysis.

RESULTS

Among 1578 patients (median age 86 years, 56.3% female), OAT deprescription (341 patients, 21.6%) was associated with bleeding risk, functional dependence and cognitive impairment, and inversely, with previous SSE and chronic AF. Incidences of death, SSE, and MB/CRNMB were 56.6%, 1.5%, and 4.1%, respectively, in OAT-deprescribed patients, and 37.6%, 2.9%, and 4.9%, respectively, in OAT-continued patients, without significant differences between groups. OAT deprescription was associated with all-cause mortality [adjusted odds ratio (aOR) 1.41, 95% CI 1.68-1.85], along with older age, comorbidity burden, cognitive impairment, and functional dependence, but with neither SSE nor MB/CRNMB incidence, as opposed to being alive and free from SSE and MB/CNRMB, respectively (aOR 0.68, 95% CI 0.25-1.82, and aOR 0.95 95% CI 0.49-1.85, respectively). Conversely, OAT deprescription was associated with higher odds of being dead than alive both in patients free from SSE and in those free from MB/CRNMB.

CONCLUSIONS AND IMPLICATIONS

CGA-based OAT deprescribing is common in acute geriatric wards and is not associated with increased SSE. The net clinical benefit of OAT in geriatric patients is strongly related with the competing risk of death, suggesting that functional and cognitive status, as well as residual life expectancy, should be considered in clinical decision making in this population.

External validation of AF-BLEED for predicting major bleeding and for tailoring NOAC dose in AF patients: A post hoc analysis in the ENGAGE AF-TIMI 48

OBJECTIVE

AF-BLEED, a simple bleeding risk classifier, was found to predict major bleeding (MB) in patients with atrial fibrillation (AF) and identify AF patients at high risk of MB who might potentially benefit from a lower direct oral anticoagulant dose. This post hoc study aimed to externally validate these findings in the ENGAGE AF-TIMI 48 (Effective aNticoaGulation with factor Xa next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction study 48) trial.

METHODS

The ENGAGE AF-TIMI 48 trial randomized AF patients to higher-dose edoxaban regimen (HDER 60/30 mg) versus lower-dose edoxaban regimen (LDER 30/15 mg), with prespecified dose reduction criteria. AF-BLEED was calculated in the modified intention-to-treat cohort (n = 21,026 patients) used for primary outcome analysis. Annualized event rates and hazard ratios (HRs) were obtained for the primary composite outcome (PCO) and its single components (MB, ischemic stroke/systemic embolism and death) to compare LDER 30 mg with HDER 60 mg in both AF-BLEED classes.

RESULTS

AF-BLEED classified 2882 patients (13.7 %) as high-risk, characterized by a two- to three-fold higher MB risk than AF-BLEED classified low-risk patients. AF-BLEED classified high-risk patients randomized to LDER 30 mg demonstrated a 3.3 % reduction in MB at the cost of a 0.5 % increase in ischemic stroke/systemic embolism. LDER 30 mg resulted in a 3.1 % reduction of PCO compared to HDER 60 mg (HR of 0.81; 95%CI 0.65-1.01). Additional to existing dose reduction criteria, another 6 % of patients could potentially benefit of this dose adjustment strategy.

CONCLUSION

AF-BLEED could identify AF patients to be at high risk of major bleeding. Our findings support the hypothesis that LDER 30 mg might provide a reasonable option in AF patients with legitimate bleeding concerns.

Do Anticoagulants Preserve Function and Quality of Life in Older Adults with Atrial Fibrillation?

Anticoagulants in Older Adults with Atrial FibrillationAn 82-year-old woman with hypertension and diabetes is seen in the clinic for newly diagnosed atrial fibrillation. She uses a walker and fell twice last year. She completes activities of daily living independently. Should she be prescribed an anticoagulant?

Association between atrial fibrillation, frailty, and geriatric syndromes in the late elderly in a south Belgian outpatient and inpatient setting

Study objective

This study aims to analyze the relationship between AF, frailty, and geriatric syndromes in elderly patients in an outpatient and inpatient setting in a South Belgian hospital.

Participants design and setting

This is a single center case-control retrospective study including 207 patients enrolled from an outpatient and inpatient setting of the Department of Geriatrics, Jolimont Hospital Group. Frailty was assessed using a complete geriatric assessment and Rockwoods Clinical Frailty Scale.

Results

AF was strongly associated with age, cardiovascular history, congestive heart failure, as well as with multiple geriatric syndromes such as vascular dementia, malnutrition, functional decline in Activities of Daily Living, mobility impairment and chronic ulcerous disease. Furthermore, there was a tight relationship between AF and Rockwoods' frailty phenotypes. This association was maintained throughout multivariable modelling including age (OR 1.06, IC 1.03-1.14, p = 0.042), sex (OR 2.30, IC 1.11-4.84, p = 0.026), congestive heart failure (OR 3.70, IC 1.77-7.91, p < 0.001) and a CFS more than 4 (OR 2.68, IC 1.18-6.43, p = 0.021).

Conclusion

A deeper understanding of associations between atrial fibrillation and geriatric syndromes and frailty could give new patient management perspectives beyond pharmaceutical or interventional treatment.

What to do with device-detected atrial high-rate episodes: Summary of the evidences

Cardiac implanted electronic devices (CIEDs), that perform atrial sensing via an atrial electrode, commonly detect self-terminating atrial arrhythmias. Nomenclature of these arrhythmias is defined as atrial high-rate episodes (AHREs) and subclinical atrial fibrillation (SCAF). We have provided a comprehensive summation of the trials regarding the incidence and adverse outcomes of AHREs. The reported incidence of AHRE varies considerably (approximately 10% to %70) between studies depending on the definition of AHRE, duration of follow-up and the clinical profile of the population. There is increasing evidence related with the association between AHREs' and stroke and/or systemic embolism. However, risk of stroke and/or systemic embolism seems to be less than the risk associated with clinical AF. There is still lack of sufficient evidence related with oral anticoagulation (OAC) in patients with AHRE to reduce thromboembolic risk. Although, the strongest association of OAC treatment with reduction in stroke has been reported to be observed among patients with device detected SCAF episodes of >24 hours; it is still questionable whether AHRE is a direct cause of thromboembolic event or just a marker of increased risk. Results of ongoing randomized clinical trials (NOAH-AFNET 6 and ARTESIA) will provide robust evidence on effect of OAC therapy on AHREs. This article is protected by copyright. All rights reserved.

Gait Speed and Instrumental Activities of Daily Living in Older Adults After Hospitalization: A Longitudinal Population-Based Study

BACKGROUND

Hospitalization can impair physical and functional status of older adults, but it is unclear whether these deficits are transient or chronic. This study determined the association between hospitalization of older adults and changes in long-term longitudinal trajectories of two measures of physical and functional status: gait speed (GS) and Instrumental Activities of Daily Living measured with Functional Activities Questionnaire (FAQ).

METHODS

Linear mixed effects models assessed the association between hospitalization (non-elective vs. elective, and surgical vs. medical) and outcomes of GS and FAQ score in participants (>60 years old) enrolled in the Mayo Clinic Study of Aging who had longitudinal assessments.

RESULTS

Of 4,902 participants, 1,879 had ≥1 hospital admission. Median GS at enrollment was 1.1 m/s. The slope of the annual decline in GS before hospitalization was -0.015 m/s. The parameter estimate [95%CI] for additional annual change in GS trajectory after hospitalization was -0.009 [-0.011 to -0.006] m/s, P<0.001. The accelerated GS decline was greater for medical vs. surgical hospitalizations (-0.010 vs. -0.003 m/s, P=0.005), and non-elective vs. elective hospitalizations (-0.011 vs -0.006 m/s, P=0.067). The odds of a worsening FAQ-score increased on average by 4% per year. Following hospitalization, odds of FAQ-score worsening further increased (multiplicative annual increase in odds ratio per year [95%C] following hospitalization was 1.05 [1.03, 1.07], P<0.001).

CONCLUSIONS

Hospitalization of older adults is associated with accelerated long-term decline in GS and functional limitations, especially after non-elective admissions and those for medical indications. However, for most well-functioning participants these changes have little clinical significance.