We all know A and B, but what about C? Exploring the management of modifiable risk factors in patients with atrial fibrillation

Background

The European Society of Cardiology (ESC) guidelines for the management of atrial fibrillation (AF) advise to treat AF according to the ABC pathway: A, anticoagulation, B, better symptom control, and C, comorbidities and cardiovascular risk factor management. Optimal treatment of comorbidities and risk factors slows AF progression and improves success rates of rhythm interventions for AF. However, several studies report underdiagnosis and therefore possible undertreatment for common cardiovascular comorbidities.

Purpose

This study aims to evaluate how common modifiable cardiovascular risk factors are managed in AF patients referred for catheter ablation.

Methods

This is a substudy of the ISOLATION study, a prospective cohort study including consecutive patients with paroxysmal or persistent AF referred for AF ablation. Screening for common modifiable risk factors for AF is structurally embedded in the work-up for AF ablation in the two participating centres. In the present study the prevalence of the following risk factors at this screening moment was assessed: (1) body mass index (BMI) above the target BMI for ablation (≥27 kg/m2), (2) hypertension, defined as on-site systolic blood pressure >130 mmHg and/or diastolic blood pressure >80 mmHg, (3) decreased glucose tolerance or diabetes mellitus, defined as HbA1c ≥6.5%, (4) dyslipidaemia, defined as low-density lipoprotein (LDL) ≥2.5 mmol/l, (5) regular alcohol consumption, defined as self-reported consumption of >15 standardized units/week, and (6) sleep disordered breathing (SDB), defined as apnoea-hypopnoea index (AHI) ≥15 assessed with home sleep tests (subset of patients).

Results

Among the 981 patients studied (median age 65 [59–71] years old, 64% male, 69% paroxysmal AF), previously diagnosed comorbidities were common (46% hypertension, 7% diabetes, 22% dyslipidaemia, 10% SDB), and a large proportion of patients received targeted treatment (Table 1). However, non-optimally managed risk factors remained significant (Figure 1). BMI ≥27 kg/m2 was present in 56% of patients. High systolic and diastolic blood pressure were present in 62% and 51% of patients, respectively, and any form of high blood pressure (either systolic or diastolic) was seen in 72% of patients. HbA1c was found to be above target ranges in 9% patients and LDL in 56%. A weekly alcohol consumption of ≥15 units was reported by 4% of patients. Screening for SDB was performed in a subset of patients (n=287), for whom AHI was ≥15 in 52%. Overall, 9% of patients had 4 or more non-optimally controlled modifiable risk factors, whereas the median number of modifiable risk factors was 2 [1–3].

Conclusions

Structural screening revealed a high prevalence of non-optimally controlled modifiable cardiovascular risk factors in patients referred for AF catheter ablation. According to recent ESC guidelines, improving treatment of comorbidities may improve AF ablation success rates and even reduce mortality.

Funding Acknowledgement

Type of funding sources: None.

Patient motivation and adherence to an on-demand app-based heart rate and rhythm monitoring infrastructure for atrial fibrillation management through teleconsultation. TeleCheck-AF project results

Funding Acknowledgements

Type of funding sources: None.

Background

TeleCheck-AF is a mobile health (mHealth) infrastructure developed to provide remote management and comprehensive care to patients with atrial fibrillation (AF) during the Covid disease-19 pandemic lockdown within cardiology centers in Europe. TeleCheck-AF integrates an on-demand photoplethysmography-based heart rate/rhythm monitoring application supported a scheduled teleconsultation.

Purpose

The current sub-study of the TeleCheck-AF project aimed to provide the first real-world dataset on patient adherence and motivation to a standardized mHealth application integrated in remote AF management.

Methods

Patients were instructed to perform 60-second app-based heart rate/rhythm recordings three times daily and in case of symptoms for seven consecutive days prior to teleconsultation. Motivation was defined as number of days in which the expected number of measurements (≥three/day) were performed per number of days over the entire prescription period. Adherence was defined as number of performed measurements per number of expected measurements over the entire prescription period.

Results

Data from 990 consecutive patients with diagnosed AF (median age 64 [57-71] years, 39% female) from 10 centers that included the highest number of patients (≥25) were analyzed. Patients with both optimal motivation (100%) and adherence (≥100%) constituted 28% of the study population and had a lower percentage of recordings in sinus rhythm (90 [53-100%] vs 100 [64-100%], P<0.001) compared to others. Age and diabetes were predictors of both optimal motivation and adherence (odds ratio [OR] 1.02, 95% coincidence interval [95% CI] 1.01-1.04, P<0.001 and OR, 0.49, 95% CI 0.28-0.86, P=0.013, respectively). Patients with 100% motivation also had ≥100% adherence. Independent predictors for optimal adherence alone were age (OR 1.02, 95% CI 1.00-1.04, P=0.014), female sex (OR 1.70, 95% CI 1.29-2.23, P<0.001), previous AF ablation (OR 1.35, 95%CI 1.03-1.07, P=0.028).

Conclusion

In the TeleCheck-AF project, older age and diabetes were predictors of optimal patient motivation and adherence to app-based heart rate/rhythm monitoring. Therefore, physicians, nurses and allied health specialists involved in the management and care for patients with AF should not be discouraged to provide a mHealth infrastructure to elderly patients. Patient engagement improves mHealth adherence/motivation, hence, it is crucial to tailor the mHelath intervention to the needs and preferences of the patient.

The impact of a structured polygraphy screening incorporated in a novel remote mobile health pathway on sleep apnoea prevalence in patients with atrial fibrillation

Funding Acknowledgements

Type of funding sources: None.

Background

Untreated obstructive sleep apnoea (OSA) contributes to progression of atrial fibrillation (AF) and reduces the success rate of heart rhythm control strategies. OSA remains one of the most frequently underdiagnosed modifiable risk factors in AF patients due to a lack of standardized screening methods and low awareness.

Purpose

To assess the impact of implementation of a structured remote OSA screening and management pathway on the prevalence of OSA in AF patients scheduled for AF ablation procedures.

Methods

In October 2020, a novel remote OSA screening and management pathway (VIRTUAL-SAFARI) was introduced in two AF outpatient clinics in the Netherlands. Consecutive patients scheduled for AF ablation were offered OSA screening consisting of sending a portable home sleep test to patients’ homes to perform a remote sleep recording for one night, analysis by a sleep physician, discussion of results with the patient, and initiation of treatment (when applicable). The impact of this structural screening strategy was assessed by comparing the prevalence of concomitant OSA (defined as apnoea-hypopnoea index ≥5) for patients scheduled for AF ablation in the year before and after introduction of the OSA management pathway.

Results

A total of 733 patients was studied, 308 in the year before (Oct ’19 - Sep ’20) and 425 in the year after (Oct ’20 - Sep ’21) introduction of the VIRTUAL-SAFARI pathway. Median age was 65 [58-71], 64% was male and median body mass index (BMI) was 27 [25-30] kg/m2. Baseline characteristics were comparable for the groups before and after introduction of the pathway (Table 1).

In the cohort before pathway introduction, OSA had been diagnosed in 26 patients (8%, Figure 1) and was treated with positive airway pressure in 10 cases (3%).

In the cohort after pathway introduction, OSA had previously been diagnosed in 53 patients (12%). Eighty-eight percent of patients without previous OSA screening was referred via the remote pathway. Results of the sleep recordings were available for 213 (59%) at the time of this analysis. Previously unknown OSA was diagnosed in 184 patients (86% of available recordings), increasing the prevalence of confirmed OSA to 237 (55%). For 22% of patients, results of sleep recordings are pending. Absence of OSA was confirmed in 9%, and 13% of patients had not been screened (e.g. because of patient preference or logistical reasons). After pathway introduction, 82 patients (19%) were treated or received advice to start treatment with positive airway pressure. Treatment decisions are pending for 9% of the cohort.

Conclusion

After the implementation of structured remote OSA screening in a well characterized cohort of consecutive patients scheduled for AF ablation, the prevalence of diagnosed OSA increased from 8% to 55%. Whether appropriate risk factor management, including treatment of OSA identified by structured screening, will improve AF outcomes needs to be tested in future studies.

Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation

Funding Acknowledgements

Type of funding sources: None.

Background

In patients with persistent atrial fibrillation (AF) it is difficult to determine the association between patient self-reported symptoms and the underlying heart rhythm (symptom-rhythm correlation [SRC]). No standardized strategy to assess SRC in AF patients is available.

Purpose

We assessed for the first time SRC in persistent AF patients using a mobile health approach of simultaneous photoplethysmography (PPG)-based rhythm monitoring and active interrogation of patient-reported symptoms, which provides a novel approach to systematically assess SRC in persistent AF.

Methods

Consecutive persistent AF patients planned for electrical cardioversion (ECV) used a mobile app to record a 60-second PPG and report symptoms once daily and in case of symptoms for four weeks prior and three weeks after ECV. Within each patient, SRC was quantified by the SRC-index defined as the sum of symptomatic AF recordings and asymptomatic non-AF recordings divided by the sum of all recordings.

Results

Of 88 patients (33% female, age 68±9 years) included, 78% reported any symptoms during recordings. The overall SRC-index was 0.61 (0.44-0.79). The study population was divided into SRC-index tertiles: low (<0.47), medium (0.47-0.73) and high (≥0.73). Patients within the low (vs high) SRC-index tertile had more often heart failure and diabetes mellitus (both 24.1% vs 6.9%). Extrasystoles occurred in 19% of all symptomatic non-AF PPG recordings. Within each patient, PPG recordings with the highest (vs lowest) tertile of pulse rates conferred an increased risk for symptomatic AF recordings (odds ratio [OR] 1.26, 95% coincidence interval [CI] 1.04-1.52) and symptomatic non-AF recordings (OR 2.93, 95% CI 2.16-3.97). Pulse variability was not associated with reported symptoms.

Conclusion

In persistent AF patients, simultaneous mobile app-based symptom and rhythm monitoring revealed a relatively low overall SRC, suggesting that the majority of patients experienced symptoms irrespective of AF. Extrasystoles can explain a minority of symptomatic non-AF PPG recordings. Pulse rate, but not pulse variability, is the main determinant of reported symptoms during AF and non-AF PPG recordings. Further studies are required to test whether mobile app-based SRC assessment can be implemented in current workflows and integrated into a personalized symptom and rhythm control AF management approach.

Impact of the RACE 7 ACWAS trial on patient behaviour, referral and treatment strategies at the emergency department: patient perspectives

Funding Acknowledgements

Type of funding sources: None.

Introduction

In the Rate Control versus Electrical Cardioversion Trial 7–Acute Cardioversion versus Wait and See (RACE 7 ACWAS) trial, a delayed cardioversion approach was compared to early cardioversion. Based on the results of this trial, the delayed cardioversion approach has been added to the European Society of Cardiology guidelines for atrial fibrillation (AF) as a strategy for the acute management of patients with recent-onset AF episodes.

Purpose

The aim of this study was to evaluate the impact of participation in the RACE 7 ACWAS trial, in combination with education on the delayed cardioversion approach, on the behaviour of patients regarding their recent-onset AF episodes.

Methods

Patients who were enrolled in the RACE 7 ACWAS trial in our centre and who gave their consent to be approached for future research projects were asked to complete a questionnaire, asking about AF recurrences and related treatment after their participation in the RACE 7 ACWAS trial.

Results

Of the 148 patients enrolled in the RACE 7 ACWAS trial in our centre, 130 patients were eligible for this study. Of these patients, 16 refused participation, 25 could not be reached and 16 did not return the questionnaire. Seventy-three patients (mean age 69, 64.4% men, 50.7% delayed cardioversion group) completed the questionnaire and were included in the current analysis. Forty-nine patients (67.1%) experienced AF recurrences after the trial. Of the patients with AF recurrences, 23 patients (46%) indicated that since their participation in the trial they have been waiting longer for spontaneous conversion to occur, i.e. 13 patients (26%) wait longer before contacting the emergency department (ED) and 10 patients (20%) wait as long as it takes for spontaneous conversion to occur. Twenty-five patients (51.0%) had been to the ED because of AF at least one time after their participation in the RACE 7 ACWAS trial. Eleven patients (45.8%) who contacted the ED were advised to wait at home a while longer before visiting the ED. In 13 patients (52%) a delayed cardioversion approach at the ED was applied at least once. Eleven patients experiencing recurrences (22.9%) indicated that ED visits had been avoided because the ED advised them telephonically to await spontaneous conversion longer (Figure 1). There were no significant differences between patients who were in the early cardioversion group compared to patients who were in the delayed cardioversion group (Table 1).

Conclusion

The RACE 7 ACWAS trial appears to have impacted the behaviour of approximately half of the included patients, who indicated that following participation in the trial they were more likely to await spontaneous conversion. Health care professionals at the ED adopted a delayed cardioversion strategy in half of all cases. In about 1 in every 4-5 patients, an ED visit was avoided because patients were telephonically advised to wait longer.

Performance of STOP-BANG questionnaire as sleep apnoea screening tool and development of a novel pre-selection model in patients with atrial fibrillation - insights from the Virtual-SAFARI study

Funding Acknowledgements

Type of funding sources: None.

Background

Sleep-disordered breathing (SDB) is highly prevalent in patients with atrial fibrillation (AF) and its screening is recommended in this population. The STOP-BANG questionnaire is widely used as SDB screening tool, but the subjective assessment of some of its parameters might limit its validity to detect SDB in AF patients.

Purpose

We assessed the performance of the STOP-BANG questionnaire to detect SDB with the use of a mobile health-based portable home sleep test given as reference in a cohort of AF patients. Moreover, we explored options to improve pre-selection for SDB screening in this cohort.

Methods

Consecutive AF patients who were referred for AF catheter ablation in two AF outpatient clinics and without previous history of SDB and/or SDB screening, were included prospectively. Patients characteristics together with STOP-BANG questionnaire were assessed at baseline visitation. STOP-BANG scores of 3-4 and 5-8 were interpreted as intermediate and high risk for SDB, respectively. All patients were digitally referred to a virtual SDB management pathway, independent of STOP-BANG score. Patients received a portable home sleep test to detect SDB, which patients used for one night at home after instructions. Sleep recordings were accessed by sleep physicians via a secured cloud and sleep reports were discussed with patients and referring physicians. Apnoea-hypopnoea-indexes (AHI) of >=15 and of >= 30 were interpreted as moderate-to-severe and severe SDB, respectively. Results of the STOP-BANG and the home sleep test were compared and performance of the STOP-BANG questionnaire was assessed. Uni- and multivariable logistic regression analyses based on patient characteristics were used to construct a nomogram to improve pre-selection for SDB screening in this cohort.

Results

A total of 156 patients (median age 65 years, 63.8% male) were included. According to results from the home sleep test, 53% of patients were diagnosed with moderate-to-severe SDB, including 16% with severe SDB. STOP-BANG questionnaire performed poorly with an area under the receiver operating characteristic curve (AUROC) of 0.661 and 0.684 in predicting moderate-to-severe and severe SDB, respectively. On multivariable logistic analysis, independent predictors for moderate-to-severe SDB were body-mass-index (BMI), age and apnoeas. A nomogram was built on this variables (Fig. 1), which performed good with an AUROC of 0.728 in predicting moderate-to-severe SDB.

Conclusion

In a cohort of AF patients scheduled for AF catheter ablation, SDB was highly prevalent. STOP-BANG questionnaire had poor value for the prediction of moderate-to-severe and severe SDB compared to a systematical SDB screening via home sleep test. Using STOP-BANG questionnaire as a pre-selection tool might lead to frequently undetected and untreated SDB. Whether the nomogram based on our analyses improves pre-selection for SDB screening in AF patients will be validated in a future cohort.

Evaluation of the feasibility and accuracy of remote mobile app-based self-reported atrial fibrillation risk factor assessment in patients with atrial fibrillation: TeleCheck-AF results

Background

Previously, we introduced the TeleCheck-AF approach, which is an on-demand mobile health (mHealth) infrastructure incorporating mobile app-based heart rate and rhythm monitoring as well as mobile app-based self-reported atrial fibrillation (AF) risk factor assessment to allow comprehensive remote AF management through teleconsultation. Herein, we evaluated the feasibility and accuracy of remote mobile app-based self-reported AF risk factor assessment in AF patients.

Methods

In our University Medical Center, 545 patients were managed within the TeleCheck-AF project by an on-demand heart rate and rhythm mHealth infrastructure through teleconsultation. Patients were asked to fill in a short mobile app-based 10-item questionnaire related to AF risk factors. A reminder to complete the questionnaire automatically popped-up after the following four heart rate and rhythm recordings. Furthermore, patient's medical history was retrieved from the electronic health records (EHRs).

Results

Out of 545 patients, 542 (99.4%) patients (217 female, age 67 (59–72) years) completed the mobile app-based 10-item questionnaire and were included in this analysis. The number of patients with diabetes mellitus was similar in the EHRs and mobile app-based questionnaire (both 11.3%, p=1.000). There was no significant difference in the number of patients who had a medical history of transient ischemic attack (TIA)/cerebrovascular accident (CVA) and artery disease (coronary artery disease and peripheral artery disease) in the EHRs and mobile app-based questionnaire (11.4% vs 12.2%, p=0.608 and 14.8% vs 13.3%, p=0.366, respectively). Heart failure was more frequently reported in the mobile app-based questionnaire compared to the EHRs (33.4% vs 14.0%, p<0.001). A total of 260 (48.0%) patients had a diagnosis of hypertension verified in EHRs and only 239 (44.1%) patients reported hypertension in the mobile app-based questionnaire (p=0.044). There was no significant difference in number of patients with CHA2DS2-VASc-score ≥2 between the EHRs and mobile app-based questionnaire (64.2% vs 66.1%, p=0.275). The accuracy of mobile app-based assessment of diabetes mellitus was 85.4%, of TIA/CVA 78.9%, of artery disease 60.9%, of heart failure 78.8%, and of hypertension 89.3%.

Conclusion

Patient self-reported AF risk factors by a remote mobile app-based assessment is feasible and may be useful for future digital trials and comprehensive remote AF management through teleconsultation.

Funding Acknowledgement

Type of funding sources: None.

The photoplethysmography dictionary: practical guidance on signal interpretation and clinical scenarios from TeleCheck-AF

Introduction

During the coronavirus disease 2019 (COVID-19) pandemic, numerous centres in Europe used on-demand photoplethysmography (PPG) technology to remotely assess heart rate and rhythm in conjunction with teleconsultations within the TeleCheck-AF project.

Purpose

To develop an educational structured stepwise practical guide on how to interpret PPG signals and to study typical clinical scenarios how on-demand PPG was used in the TeleCheck-AF project.

Methods

During an online conference, the structured stepwise practical guide on how to interpret PPG signals was discussed and further refined during an internal review process. We provide the number of respective PPG recordings and number of patients managed within a clinical scenario during the TeleCheck-AF project.

Results

To interpret PPG recordings, we introduce a structured stepwise practical guide and provide representative PPG recordings. In the TeleCheck-AF project, 2522 subjects collected 90.616 recordings. The majority of these recordings was classified by the PPG algorithm as sinus rhythm (57.6%), followed by atrial fibrillation (AF) (23.6%). In 9.7% of recordings the quality was too low to interpret. Other observed rhythms were tachycardia (1.4%), extra systoles (4.7%), bigeminy episodes (1.8%), trigeminy episodes (0.6%) and atrial flutter (0.2%). The most frequent clinical scenario where PPG technology was used in the TeleCheck-AF project was follow-up after AF ablation (1110 patients) followed by heart rate and rhythm assessment around (tele)consultation (966 patients), sometimes including remote PPG-guided adaption of rate or rhythm control. 275 patients were followed around cardioversion, either (semi-)acute or elective. Other possible scenarios are assessment of palpitations, assessment of symptom-rhythm correlation and monitoring during up-titration of heart failure medication.

Conclusion

We introduce a newly developed structured stepwise practical guide on PPG signal interpretation developed based on presented experiences from TeleCheck-AF. The present clinical scenarios for the use of on-demand PPG technology derived from the TeleCheck-AF project will help to implement PPG technology in the management of arrhythmia patients.

Funding Acknowledgement

Type of funding sources: None. TeleCheck-AF clinical scenariosClassification of PPG recordings

Virtual reality to improve patient information and reduce anxiety towards atrial fibrillation ablation in times of remote patient care (and after)

Funding Acknowledgements

Type of funding sources: None.

Background. Nowadays frequently deployed invasive catheter ablation therapy in patients with symptomatic atrial fibrillation (AF) is unfortunately associated with distress such as preoperative anxiety. Improving preoperative patient information may lower anxiety towards AF ablation procedures.

Purpose. To evaluate whether a lifelike 360˚ virtual reality (VR) patient information video decreases anxiety levels and improves patient preparation towards AF ablation as compared to standard preoperative patient information.

Methods. Consecutive patients planned for AF ablation were recruited from the outpatient AF clinic and were randomized into two groups: the control group and the intervention group (VR group). The control group received standard preoperative information through oral counselling and information leaflets, the VR group received the standard information as well as a short dedicated 360˚ VR video (via in-hospital VR headset and disposable cardboard VR glasses for home use). Online questionnaires (aimed at information provision, anxiety and procedural experience) were administered both pre- and post-ablation.

Results. A total of 103 patients (39.8% female, age 64 [58-71] years) were included in the analysis. The VR group (n = 58) reported to be clearly better informed about catheterization laboratory environment (78% vs. 73%) and the course of the procedure (82% vs. 78%), indicated fewer concerns about the procedure (47% vs. 55%) and were eager to learn even more (82% vs. 74%) as compared to controls (n = 45). However, there was no significant difference in the anxiety scores between the VR group and controls (10 [8-12] vs. 10 [8-14], p = 0.548). Home use of the video was satisfactory and resulted in discussion with relatives. Patient overall satisfaction was higher in VR group as compared to controls (84% vs. 81%).

Conclusions. This study shows that a dedicated 360˚ VR video reduces concerns but does not reduce anxiety scores. Though, it easily improves procedural knowledge, patient information and patient satisfaction. Especially in times of remote patient care, this new way of informing patients may be of added value.