Is Catheter Ablation Associated with Preservation of Cognitive Function? An Analysis From the SAGE-AF Observational Cohort Study.

Objectives: To examine the associations between catheter ablation treatment (CA) versus medical management and cognitive impairment among older adults with atrial fibrillation (AF). Methods: Ambulatory patients who had AF, were ≥ 65-years-old, and were eligible to receive oral anticoagulation could be enrolled into the SAGE (Systematic Assessment of Geriatric Elements)-AF study from internal medicine and cardiology clinics in Massachusetts and Georgia between 2016 and 2018. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) tool at baseline, one-, and two years. Cognitive impairment was defined as a MoCA score ≤ 23. Multivariate-adjusted logistic regression of longitudinal repeated measures was used to examine associations between treatment with CA vs. medical management and cognitive impairment. Results: 887 participants were included in this analysis. On average, participants were 75.2 ± 6.7 years old, 48.6% women, and 87.4% white non-Hispanic. 193 (21.8%) participants received a CA before enrollment. Participants who had previously undergone CA were significantly less likely to be cognitively impaired during the two-year study period (aOR 0.70, 95% CI 0.50-0.97) than those medically managed (i.e., rate and/or rhythm control), even after adjusting with propensity score for CA. At the two-year follow-up a significantly greater number of individuals in the non-CA group were cognitively impaired (MoCA ≤ 23) compared to the CA-group (311 [44.8%] vs. 58 [30.1%], p=0.0002). Conclusions: In this two-year longitudinal prospective cohort study participants who underwent CA for AF before enrollment were less likely to have cognitive impairment than those who had not undergone CA.

Is catheter ablation associated with preservation of cognitive function? An analysis from the SAGE-AF observational cohort study.

Objectives: To examine the associations between catheter ablation treatment (CA) vs. medical management and cognitive impairment among older adults with atrial fibrillation (AF). Methods: Ambulatory patients who had AF, were ≥65-years-old, and were eligible to receive oral anticoagulation could be enrolled into the SAGE (Systematic Assessment of Geriatric Elements)-AF study from internal medicine and cardiology clinics in Massachusetts and Georgia between 2016 and 2018. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) tool at baseline, 1-, and 2 years. Cognitive impairment was defined as a MoCA score ≤ 23. Multivariate-adjusted logistic regression of longitudinal repeated measures was used to examine associations between treatment with CA vs. medical management and cognitive impairment. Results: 887 participants were included in this analysis. On average, participants were 75.2 ± 6.7 years old, 48.6% women, and 87.4% white non-Hispanic. 193 (21.8%) participants received a CA before enrollment. Participants who had previously undergone CA were significantly less likely to be cognitively impaired during the 2-year study period (aOR 0.70, 95% CI 0.50-0.97) than those medically managed (i.e., rate and/or rhythm control), even after adjusting with propensity score for CA. At the 2-year follow-up a significantly greater number of individuals in the non-CA group were cognitively impaired (MoCA ≤ 23) compared to the CA-group (311 [44.8%] vs. 58 [30.1%], p = 0.0002). Conclusion: In this 2-year longitudinal prospective cohort study participants who underwent CA for AF before enrollment were less likely to have cognitive impairment than those who had not undergone CA.

Perception of atrial fibrillation symptoms: Impact on quality of life and treatment in older adults.

BACKGROUND: In managing older adults with atrial fibrillation (AF), their symptomatology impacts their well-being and may inform treatment decision-making. We examined AF symptom perception, its impact on quality of life (QoL), and its relation to treatment strategies in older adults with AF. METHODS: Data were obtained from older adults with AF enrolled in a multicenter study conducted at clinic sites in Massachusetts and Georgia between 2016 and 2018. Participants were stratified into three age groups: 65-74 (youngest-old), 75-84 (middle-old), and ≥85 (oldest). Perception of AF symptoms was assessed by participant self-report during their clinic visit and at study enrollment by the Atrial Fibrillation Effect on Quality-of-Life Questionnaire which assessed cardiac-specific and non-specific, non-cardiac AF symptoms and their impact on QoL. Treatment strategies (rate or rhythm control) utilized were ascertained from electronic medical records. RESULTS: Among the 1184 participants (mean age 75 years, 48% women, 86% Non-Hispanic White), 51% were aged 65-74 years, 36% were 75-84 years, and 13% were ≥ 85 years. The most commonly reported AF symptoms were non-specific, non-cardiac symptoms (fatigue, dyspnea, lightheadedness) with similar prevalence and impact on QoL in all age groups. Cardiac-specific AF symptoms (palpitations, irregular heartbeat, pause in heart activity) were less prevalent, but most commonly reported by the youngest participants (65-74 years), who endorsed considerable impact of these symptoms on their QoL. Overall, those who reported experiencing any AF symptoms during their clinic visit were more likely to have received rhythm compared with rate control (OR: 1.56; 95% CI: 1.18-2.04) with similar findings for all age groups except those aged ≥85 years. CONCLUSIONS: Our findings suggest a high prevalence of non-specific, non-cardiac symptoms among older adults with AF and that cardiac-specific AF symptoms may exert considerable impact on their QoL. The presence of any AF symptoms may drive more rhythm control in a majority of older adults.

Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.

OBJECTIVE: With the increasing use of wearable healthcare devices for remote patient monitoring, reliable signal quality assessment (SQA) is required to ensure the high accuracy of interpretation and diagnosis on the recorded data from patients. Photoplethysmographic (PPG) signals non-invasively measured by wearable devices are extensively used to provide information about the cardiovascular system and its associated diseases. In this study, we propose an approach to optimize the quality assessment of the PPG signals. METHODS: We used an ensemble-based feature selection scheme to enhance the prediction performance of the classification model to assess the quality of the PPG signals. Our approach for feature and subset size selection yielded the best-suited feature subset, which was optimized to differentiate between the clean and artifact corrupted PPG segments. CONCLUSION: A high discriminatory power was achieved between two classes on the test data by the proposed feature selection approach, which led to strong performance on all dependent and independent test datasets. We achieved accuracy, sensitivity, and specificity rates of higher than 0.93, 0.89, and 0.97, respectively, for dependent test datasets, independent of heartbeat type, i.e., atrial fibrillation (AF) or non-AF data including normal sinus rhythm (NSR), premature atrial contraction (PAC), and premature ventricular contraction (PVC). For independent test datasets, accuracy, sensitivity, and specificity rates were greater than 0.93, 0.89, and 0.97, respectively, on PPG data recorded from AF and non-AF subjects. These results were found to be more accurate than those of all of the contemporary methods cited in this work. SIGNIFICANCE: As the results illustrate, the advantage of our proposed scheme is its robustness against dynamic variations in the PPG signal during long-term 14-day recordings accompanied with different types of physical activities and a diverse range of fluctuations and waveforms caused by different individual hemodynamic characteristics, and various types of recording devices. This robustness instills confidence in the application of the algorithm to various kinds of wearable devices as a reliable PPG signal quality assessment approach.