Prevalence and Assessment of Sleep-Disordered Breathing in Patients With Atrial Fibrillation: A Systematic Review and Meta-analysis.

BACKGROUND: In this study, we sought to estimate the prevalence of concomitant sleep-disordered breathing (SDB) in patients with atrial fibrillation (AF) and to systematically evaluate how SDB is assessed in this population. METHODS: We searched Medline, Embase and Cinahl databases through August 2020 for studies reporting on SDB in a minimum 100 patients with AF. For quantitative analysis, studies were required to have systematically assessed for SDB in consecutive AF patients. Pooled prevalence estimates were calculated with the use of the random effects model. Weighted mean differences and odds ratios were calculated when possible to assess the strength of association between baseline characteristics and SDB. RESULTS: The search yielded 2758 records, of which 33 studies (n = 23,894 patients) met the inclusion criteria for qualitative synthesis and 13 studies (n = 2660 patients) met the meta-analysis criteria. The pooled SDB prevalence based on an SDB diagnosis cutoff of apnea-hypopnea index (AHI) ≥ 5/h was 78% (95% confidence interval [CI] 70%-86%; P < 0.001). For moderate-to-severe SDB (AHI ≥ 15/h), the pooled SDB prevalence was 40% (95% CI 32%-48%; P < 0.001). High degrees of heterogeneity were observed (I2 = 96% and 94%, respectively; P < 0.001). Sleep testing with the use of poly(somno)graphy or oximetry was the most common assessment tool used (in 22 studies, 66%) but inconsistent diagnostic thresholds were used. CONCLUSIONS: SDB is highly prevalent in patients with AF. Wide variation exists in the diagnostic tools and thresholds used to detect concomitant SDB in AF. Prospective systematic testing for SDB in unselected cohorts of AF patients may be required to define the true prevalence of SDB in this population.

Trends in the use, complications, and costs of permanent pacemakers in Australia: A nationwide study from 2008 to 2017.

OBJECTIVE: To characterize contemporary pacemaker procedure trends. METHODS: Nationwide analysis of pacemaker procedures and costs between 2008 and 2017 in Australia. The main outcome measures were total, age- and gender-specific implant, replacement, and complication rates, and costs. RESULTS: Pacemaker implants increased from 12,153 to 17,862. Implantation rates rose from 55.3 to 72.6 per 100,000, a 2.8% annual increase (incidence rate ratio [IRR] 1.028; 95% CI, 1.02-1.04; p < .001). Pacemaker implants in the 80+ age group were 17.37-times higher than the < 50 group (95% CI 16.24-18.59; p < .001), and in males were 1.48-times higher than in females (95% CI 1.42-1.55; p < .001). However, there were similar increases according to age (p = .10) and gender (p = .68) over the study period. Left ventricular lead rates were stable (IRR 0.995; 95% CI 0.98-1.01; p = .53). Generator replacements decreased from 20.5 to 18.3 per 100,000 (IRR 0.975; 95% CI 0.97-0.98; p < .001). Although procedures for generator-related complications were stable (IRR 0.995; 95% CI 0.98-1.01; p = .54), those for lead-related complications decreased (IRR 0.985; 95% CI 0.98-0.99; p < .001). Rates for all pacemaker procedures were consistently greater in males (p < .001). Although annual costs of all pacemaker procedures increased from $178 million to $329 million, inflation-adjusted costs were more stable, rising from $294 million to $329 million. CONCLUSIONS: Increasing demand for pacemaker implants is driven by the ageing population and rising rates across all ages, while replacement and complication procedure rates appeared more stable. Males have consistently greater pacemaker procedure rates than females. Our findings have significant clinical and public health implications for healthcare resource planning.

Increasing trends in hospitalisations due to atrial fibrillation in Australia from 1993 to 2013.

OBJECTIVE: The aim of this study is to characterise hospitalisations due to atrial fibrillation (AF) compared with two other common cardiovascular conditions, myocardial infarction (MI) and heart failure (HF), in addition to the associated economic burden of these hospitalisations and contribution of AF-related procedures. METHODS: The primary outcome measure was the rate of increase of AF, MI and HF hospitalisations from 1993 to 2013. The rate of increase of AF-related procedures including cardioversion and ablation were also collected, in addition to direct costs associated with hospitalisations for each of these three conditions. RESULTS: AF hospitalisations increased 295% over the 21-year period to a total of 61 424 in 2013. In comparison, MI and HF hospitalisations increased by only 73% and 39%, respectively, over the same period. Considering population changes, there was an annual increase in AF hospitalisations of 5.2% (incidence rate ratio [IRR] 1.052; 95% CI 1.046 to 1.059; p<0.001). In contrast, there was a 2.2% increase per annum for MI (IRR 1.022; 95% CI 1.017 to 1.027; p<0.001) and negligible annual change for HF hospitalisations (IRR 1.000; 95% CI 0.997 to 1.002; p=0.78). Cardioversion and AF ablation increased by 10% and 26% annually, respectively. AF hospitalisation costs rose by 479% over the 21-year period, an increase that was more than double that of MI and HF. CONCLUSIONS: The burden of AF hospitalisations continues to rise unabated. AF has now surpassed both MI and HF hospitalisations and represents a growing cost burden. New models of healthcare delivery are required to stem this growing healthcare burden.

Cost-Effectiveness and Clinical Effectiveness of the Risk Factor Management Clinic in Atrial Fibrillation: The CENT Study.

BACKGROUND: Atrial fibrillation (AF) imposes a substantial cost burden on the healthcare system. Weight and risk factor management (RFM) reduces AF burden and improves the outcomes of AF ablation. OBJECTIVES: This study sought to evaluate the cost and clinical effectiveness of integrating RFM into the overall management of AF. METHODS: Of 1,415 consecutive patients with symptomatic AF, 825 patients had body mass index ≥27 kg/m2. After screening for exclusion criteria, the final cohort comprised 355 patients: 208 patients who opted for RFM and 147 control subjects and were followed by 3 to 6 monthly clinic review, 7-day Holter monitoring, and AF Symptom Score. A decision analytical model calculated the incremental cost-effectiveness ratios of cost per unit of global well-being gained and unit of AF burden reduced. RESULTS: There were no differences in baseline characteristics or follow-up duration (p = NS). Arrhythmia-free survival was better in the RFM compared with control subjects (Kaplan-Meier: 79% vs. 44%; p < 0.001). At follow-up, RFM group had less unplanned specialist visits (0.19 ± 0.40 vs. 1.94 ± 2.00; p < 0.001), hospitalizations (0.74 ± 1.3 vs. 1.05 ± 1.60; p = 0.03), cardioversions (0.89 ± 1.50 vs. 1.51 ± 2.30; p = 0.002), emergency presentations (0.18 ± 0.50 vs. 0.76 ± 1.20; p < 0.001), and ablation procedures (0.60 ± 0.69 vs. 0.72 ± 0.86; p = 0.03). Antihypertensive (0.53 ± 0.70 vs. 0.78 ± 0.60; p = 0.04) and antiarrhythmic (0.26 ± 0.50 vs. 0.91 ± 0.60; p = 0.003) use declined in RFM. The RFM group had an increase of 0.1930 quality-adjusted life years and a cost saving of $12,094 (incremental cost-effectiveness ratios of $62,653 saved per quality-adjusted life years gained). CONCLUSIONS: A structured physician-directed RFM program is clinically effective and cost saving.

Ten-year trends in the use of catheter ablation for treatment of atrial fibrillation vs. the use of coronary intervention for the treatment of ischaemic heart disease in Australia.

AIMS: Percutaneous coronary intervention (PCI) and catheter ablation are well-accepted therapeutic interventions for treatment of coronary artery disease and atrial fibrillation (AF), respectively. We sought to examine temporal trends in the provision of these services over the past decade in Australia. METHODS AND RESULTS: A retrospective review of the numbers of PCIs and AF ablations from 2000/01 to 2009/10 was performed on data from three sources: the Australian Institute of Health, Welfare and Aging (AIHW), Medicare Australia database (MA), and local records at a high volume tertiary referral centre (RMH) for AF ablation. Linear regression models were fitted comparing trends in population-adjusted procedural numbers over the 10-year period. There was a 5% per year population-adjusted increment in PCIs over 10 years from both the AIHW and MA sources, respectively (P < 0.001). This was similar to the growth rate of all cardiovascular procedures (AIHW: 5.1 vs. 3.8%/year, P = 0.27). Atrial fibrillation ablations showed a 30.9, 23.2, and 39.8% per year population-adjusted increment over 10 years from the AIHW, MA, and RMH sources respectively (P < 0.001 for all). Growth of AF ablations was significantly higher than PCIs (P < 0.001 for AIHW and MA sources) and all cardiovascular procedures (AIHW: 30.9 vs. 3.8%/year, P < 0.001). CONCLUSION: The provision of catheter-based AF ablation services in Australia has increased exponentially over the past decade. Its annual growth rate exceeded that of PCIs and all cardiovascular procedures. Given the increasing epidemic of AF, these data have critical implications for public health policy assessing the adequacy of infrastructure, training, and funding for AF ablation services.

Assessment of endothelial function in atrial fibrillation: utility of peripheral arterial tonometry.

Endothelial function is an independent predictor of adverse cardiovascular outcomes. The evaluation of endothelial function via changes in vessel diameter or blood flow may be inaccurate during atrial fibrillation (AF) because of non-uniform stroke volumes. Using peripheral arterial tonometry, 50 patients with AF (25 in AF, 25 in sinus rhythm) had digital pulse amplitudes assessed at baseline and during reactive hyperaemia. Hyperaemic responses were compared over varying measurement durations (5, 10 and 15beats; 30s; and 1-10min) to determine optimal measurement duration. Endothelial responses were significantly decreased (indicating endothelial dysfunction) in patients in AF compared with patients in sinus rhythm (1.48±0.60 vs 2.05±1.13, respectively; P=0.03). Beat-to-beat pulse amplitude was highly variable during AF; although coefficients of variation (CV) for short measurement durations were large, these decreased with longer measurement durations. Bland-Altman plots revealed that limits of agreement for short measurement durations were poor. Limits of agreement became consistently narrower when measurement durations of at least 1min were used. In contrast, limits of agreement and CV for short measurement durations during sinus rhythm were significantly narrower and smaller, respectively, than during AF over similar measurement durations. Pulse amplitudes are highly variable owing to the non-uniform stroke volumes in AF. Our results suggest that methods of determining endothelial function via vessel diameters or blood flow during reactive hyperaemia should use measurement durations of at least 1min to ensure accurate and reproducible results.