Atrial fibrillation prevalence and predictors in patients with diabetes: a cross-sectional screening study.

Prevalence of atrial fibrillation (AF) and diabetes is increasing worldwide. Diabetes is a risk factor for AF and both increase stroke risk. Previous AF screening studies have recruited highrisk patient groups, but not with diabetes as the target group. This study aims to determine whether people with diabetes have a higher prevalence of AF than the general population and investigate whether determinants, such as diabetes duration or diabetes control, add to AF risk. In a cross-sectional screening study, patients with diabetes were recruited via their GP surgeries or a diabetes centre. A 30-second single-lead electrocardiogram (ECG) was recorded using the Kardia® device, along with physiological measurements and details relating to risk factor variables. There were 300 participants recruited and 16 patients identified with AF (5.3% prevalence). This demonstrated a significantly greater likelihood of AF than the background population (p=0.043). People with diabetes and AF were significantly older than those who only had diabetes. More people with type 2 diabetes had AF than people with type 1. Prediction of AF diagnosis by age, sex, diabetes type, diabetes duration and level of control revealed only age as a significant predictor. In conclusion, these findings add to existing data around the association of these chronic conditions, supporting AF screening in this high-risk group, particularly in those of older age. This can contribute to appropriate management of both conditions in combination, not least with regards to stroke prevention.

Virtual reality device to improve the tolerability of lumbar puncture.

Background: Virtual reality is increasingly being used as an adjunct or replacement to pharmacological analgesia and sedation during medical procedures. Methods and results: We report the successful use of a virtual reality device in a highly anxious patient undergoing lumbar puncture. Conclusion: The case demonstrates how virtual reality technology may benefit patients undergoing invasive procedures such as lumbar puncture. Virtual reality may, therefore, offer an alternative or adjunct to sedation and analgesia and may reduce the amount of pharmacological therapy required.

Should we be screening people with diabetes for atrial fibrillation? Exploring patients' views.

Atrial fibrillation (AF) and diabetes are increasingly prevalent worldwide, both increasing stroke risk. AF can be detected by patient-led electrocardiogram (ECG) screening applications. Understanding patients' views around AF screening is important when considering recommendations, and this study explores these views where there is an existing diagnosis of diabetes. Nine semi-structured qualitative interviews were conducted with participants from a previous screening study (using a mobile ECG device), who were identified with AF. Thematic analysis was completed using NVivo 12 Plus software and themes were identified within each research question for clarity. Themes were identified in four groups: 1. patients' understanding of AF - the 'concept of irregularity' and 'consideration of consequence'; 2. views on screening - 'screening as a resource-intensive initiative', 'fear of outcomes from screening' and 'expectations of screening reliability'; 3. views on incorporating screening into routine care - 'importance of screening convenience'; and 4. views on the screening tool - 'technology as a barrier' and 'feasibility of the mobile ECG recording device for screening'. In conclusion, eliciting patients' views has demonstrated the need for clear and concise information around the delivery of an AF diagnosis. Screening initiatives should factor in location, convenience, personnel, and cost, all of which were important for promoting screening inclusion.

Effectiveness of a single lead AliveCor electrocardiogram application for the screening of atrial fibrillation: A systematic review.

BACKGROUND: Increasing prevalence of atrial fibrillation has a significant impact on health, society, and healthcare resource utilization, due to increased morbidity, mortality, risk of stroke, and reduction in quality of life. Early diagnosis allows for treatment initiation, a reduction in complications and associated costs, and so innovation to improve screening and enable easy access are needed Developments in digital technology have significantly contributed to the availability of screening tools. The single-lead electrocardiogram AliveCor (Mountainview, CA) device offers the opportunity to provide heart rhythm screening and has been used extensively in clinical practice and research studies. METHODS: This review investigates the feasibility, validity, and utility of the AliveCor device as a tool for atrial fibrillation detection in clinical practice and in wider research. Databases searched included PUBMED, CINAHL, MEDLINE, and World of Science, plus grey literature search. Search terms related to atrial fibrillation, screening, and AliveCor with adults >18 years. Feasibility metrics were applied including process, resource, management, and scientific outcomes. Studies not written in the English language were excluded. Validity of AliveCor was explored by extracting sensitivity and specificity data from eligible studies and overall effectiveness analyzed by incorporating the above, with wider issues surrounding screening approaches, cost effectiveness and appropriateness of AliveCor as a screening tool. RESULTS: The AliveCor device screening was reviewed in 11 studies matching inclusion criteria. Atrial fibrillation detection rates ranged from 0.8% to 36% and this largely correlated to the study population, where wider age inclusion and mass/population screening represented lower atrial fibrillation detection. Recruitment from higher-risk groups (older age, targeted localities, chronic disease) identified higher numbers with atrial fibrillation. Feasibility metrics demonstrated AliveCor as an effective tool of choice in terms of process, resources, and management. Duration of screening time had an impact on rates of atrial fibrillation detection. There was however significant heterogeneity between studies reviewed. CONCLUSION: The AliveCor device offers a convenient, valid, and feasible means of monitoring for atrial fibrillation. Further analysis of electrocardiograms produced by AliveCor may be necessary in some circumstances. The AliveCor electrocardiogram device can be successfully implemented into both opportunistic and systematic screening strategies for atrial fibrillation.

Myocardial injury, neurohormonal activation and inflammation after internal atrial defibrillation.

BACKGROUND: The effects of patient-activated atrial defibrillation on subclinical myocardial injury are unknown. Using biochemical markers, this study assessed the effect of a single internal atrial shock delivered by the implantable atrial defibrillator on myocardial damage, neurohormonal activation and inflammation. METHODS: Twelve patients were implanted with a dual chamber defibrillator for the sole indication of drug refractory symptomatic persistent atrial fibrillation (AF). All had maximum defibrillation energy programmed to maximise the first shock success rate. Creatine kinase isoenzyme, troponin T, cortisol, catecholamines, C-reactive protein and brain natriuretic peptide were measured (i) during sinus rhythm, (ii) 8 h after onset of spontaneously occurring AF (before cardioversion) and (iii) 8 h following successful patient activated cardioversion. RESULTS: There was no change in creatine kinase, troponin T, cortisol or C-reactive protein during AF or following internal cardioversion. Brain natriuretic peptide levels rose from a median value of 56 pg/ml during sinus rhythm (inter-quartile range 14-92 pg/ml) to 133 pg/ml during AF (30-262 pg/ml), p=0.002. There was a decrease 8 h after cardioversion to baseline (52 and 40-189 pg/ml), p=0.01. There were increases in serum adrenaline and noradrenaline levels during AF from 0.43 (0.12-0.61) to 0.58 pg/ml (0.39-0.80 pg/ml), p=0.002 and from 2.06 (1.61-2.59) to 2.83 nmol/l (2.43-3.46 nmol/l), p=0.02, respectively. These figures reverted to baseline levels 8 h post-cardioversion. CONCLUSIONS: Internal atrial defibrillation does not result in myocardial injury. The onset of AF results in sympathetic activation and increased brain natriuretic peptide levels, which resolve following restoration of sinus rhythm.

Long-term care of the patient with the atrial defibrillator.

With an aging population, atrial fibrillation is becoming an increasingly common cause of hospital admission. Patients with recurrent, symptomatic persistent atrial fibrillation often require repeated admissions to the hospital for cardioversion. The development of the atrial defibrillator has empowered such patients to take charge of their condition and perform cardioversion on themselves at home. This liberates them from the worry of hospitalization and can increase patient confidence. The implantation of an atrial defibrillator, however, has some disadvantages, and long-term use of the device exposes patients to some of the psychological adaptations that occur in recipients of implantable devices. This article discusses in depth the patient selection process, the implantation procedure, the use of the atrial defibrillator, and problems that can arise during long-term follow-up.

The circadian variation of atrial defibrillation thresholds.

BACKGROUND: A circadian variation exists for ventricular defibrillation thresholds (DFTs) with a morning peak and a corresponding decrease in therapy success rates from implantable cardioverter defibrillators. Such a variation in atrial DFTs may have implications for the timing of internal cardioversion of atrial arrhythmias. The aim of this study was therefore to determine the circadian variation of atrial DFTs in patents with recurrent atrial fibrillation (AF). METHODS AND RESULTS: Data were collected as part of the worldwide Jewel AF-only study. Patients had recurrent persistent AF and no history of ventricular arrhythmias. The atrial DFT was assessed at device implantation using a step-up protocol and was recorded for 100 patients (age 63.0 +/- 11.7, 74% male, ejection fraction 49.6 +/- 17.8%, left atrial diameter 46 +/- 9 mm). The mean atrial DFT was 6.3 +/- 4.3 J. For the most commonly tested lead configuration (right atrium to coronary sinus in 56 patients), the atrial DFT for patients implanted in the morning (3.3 +/- 1.5 J) was significantly lower than for both the DFT measured in the afternoon (5.8 +/- 3.4 J, p < 0.01) and the DFT measured in the evening (7.4 +/- 5.9 J, p < 0.01). CONCLUSION: There may be a significant variation in measured atrial DFT for the right atrium to coronary sinus configuration, with a nadir in the morning. This is the converse to measurements of ventricular DFTs suggesting different regulatory electrophysiological mechanisms. Further investigation of this possible variation is warranted.

Circadian variation of arrhythmia onset patterns in patients with persistent atrial fibrillation.

BACKGROUND: The circadian onset patterns and cycle lengths of atrial tachyarrhythmias (AT) were determined in a group of patients with persistent atrial fibrillation. METHODS: Fifteen patients, mean age 63 +/- 14 years and 80% male, were implanted with the Jewel AF atrial defibrillator (Medtronic, Minneapolis, Minn) for persistent atrial fibrillation only. Onset times of AT and median onset atrial cycle lengths were determined from device memory. RESULTS: Over a follow-up period of 23.3 +/- 7 months, 227 episodes of persistent AT were treated by patient-activated atrial defibrillation. The peak onset of persistent AT was nocturnal, with 74% of episodes initiating between 8 pm and 8 am. Eighty-seven percent of the patients experienced an additional 403 paroxysmal AT episodes. These episodes showed a "double-peaked" pattern with the least number of episodes occurring between midnight and 8 am. The mean onset atrial cycle length of persistent AT was significantly shorter than the paroxysmal AT episodes (200 +/- 37 ms vs 240 +/- 39 ms, P <.005). The atrial cycle lengths at arrhythmia onset of both paroxysmal and persistent AT episodes also demonstrated circadian variation. CONCLUSION: There is a circadian distribution of onsets for persistent AT with predominance at night. Patients with persistent AF have >1 type of atrial arrhythmia with differences in the onset patterns and atrial cycle lengths, suggesting different triggers and onset mechanisms.