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Objectives: Our aim was to identify shortcomings in the management of patients with both atrial fibrillation (AF) and heart failure (HF)., Background: AF and HF often coincide in cardiology practice, and they are known to worsen each other's prognosis, but little is known about the quality of care of this combination., Methods: In the observational Euro Heart Survey on AF, 5,333 AF patients were enrolled in 182 centers across 35 European Society of Cardiology member countries in 2003 and 2004. A follow-up survey was performed after 1 year., Results: At baseline, 1,816 patients (34%) had HF. Recommended therapy for HF with left ventricular systolic dysfunction (LVSD) with a beta-blocker and either an angiotensin-converting enzyme inhibitor (ACEI) or angiotensin II receptor blocker was prescribed in 40% of HF patients, while 29% received the recommended drug therapy for both LVSD-HF and AF, consisting of the combination of a beta-blocker, either ACEI or angiotensin II receptor blocker, and oral anticoagulation. Rate control was insufficient with 40% of all HF patients with permanent AF having a heart rate < or =80 beats/min. In the total cohort, HF patients had a higher risk for mortality (9.5% vs. 3.3%; p < 0.001), (progression of) HF (24.8% vs. 5.0%; p < 0.001), and AF progression (35% vs. 19%; p < 0.001) during 1-year follow-up. Of all recommended drugs for AF and LVSD-HF, only ACEI prescription was associated with improved survival during 1-year follow-up (odds ratio: 0.51 [95% confidence interval: 0.31 to 0.85]; p = 0.011)., Conclusions: The prescription rate of guideline-recommended drug therapy for AF and LVSD-HF is low. Randomized controlled trials targeting this highly prevalent subgroup with AF and HF are warranted.

Purpose: A 2D image navigator (iNAV) based 3D whole-heart sequence has been used to perform MRI and PET non-rigid respiratory motion correction for hybrid PET/MRI. However, only the PET data acquired during the acquisition of the 3D whole-heart MRI is corrected for respiratory motion. This study introduces and evaluates an MRI-based respiratory motion correction method of the complete PET data. Methods: Twelve oncology patients scheduled for an additional cardiac 18F-Fluorodeoxyglucose (18F-FDG) PET/MRI and 15 patients with coronary artery disease (CAD) scheduled for cardiac 18F-Choline (18F-FCH) PET/MRI were included. A 2D iNAV recorded the respiratory motion of the myocardium during the 3D whole-heart coronary MR angiography (CMRA) acquisition (~ 10 min). A respiratory belt was used to record the respiratory motion throughout the entire PET/MRI examination (~ 30–90 min). The simultaneously acquired iNAV and respiratory belt signal were used to divide the acquired PET data into 4 bins. The binning was then extended for the complete respiratory belt signal. Data acquired at each bin was reconstructed and combined using iNAV-based motion fields to create a respiratory motion-corrected PET image. Motion-corrected (MC) and non-motion-corrected (NMC) datasets were compared. Gating was also performed to correct cardiac motion. The SUVmax and TBRmax values were calculated for the myocardial wall or a vulnerable coronary plaque for the 18F-FDG and 18F-FCH datasets, respectively. Results: A pair-wise comparison showed that the SUVmax and TBRmax values of the motion corrected (MC) datasets were significantly higher than those for the non-motion-corrected (NMC) datasets (8.2 ± 1.0 vs 7.5 ± 1.0, p < 0.01 and 1.9 ± 0.2 vs 1.2 ± 0.2, p < 0.01, respectively). In addition, the SUVmax and TBRmax of the motion corrected and gated (MC_G) reconstructions were also higher than that of the non-motion-corrected but gated (NMC_G) datasets, although for the TBRmax this difference was not statistically significant (9.6 ± 1.3 vs 9.1 ± 1.2, p = 0.02 and 2.6 ± 0.3 vs 2.4 ± 0.3, p = 0.16, respectively). The respiratory motion-correction did not lead to a change in the signal to noise ratio. Conclusion: The proposed respiratory motion correction method for hybrid PET/MRI improved the image quality of cardiovascular PET scans by increased SUVmax and TBRmax values while maintaining the signal-to-noise ratio. Trial registration METC162043 registered 01/03/2017. [ABSTRACT FROM AUTHOR]