Search

Objective: Approximately 20% of strokes are embolic strokes of undetermined source (ESUS). Undetected atrial fibrillation (AF) remains an important cause. Yet, oral anticoagulation in unselected ESUS patients failed in secondary stroke prevention. Guidance on effective AF detection is lacking. Here, we introduce a novel, non-invasive AF risk assessment after ESUS., Methods: Catch-Up ESUS is an investigator-initiated, observational cohort study conducted between 2018 and 2019 at the Munich University Hospital. Besides clinical characteristics, patients received ≥72 h digital electrocardiogram recordings to generate the rhythm irregularity burden. Uni- and multivariable regression models predicted the primary endpoint of incident AF, ascertained by standardized follow-up including implantable cardiac monitors. Predictors included the novel rhythm irregularity burden constructed from digital electrocardiogram recordings. We independently validated our model in ESUS patients from the University Hospital Tübingen, Germany., Results: A total of 297 ESUS patients were followed for 15.6 ± 7.6 months. Incident AF (46 patients, 15.4%) occurred after a median of 105 days (25th to 75th percentile 31-33 days). Secondary outcomes were recurrent stroke in 7.7% and death in 6.1%. Multivariable-adjusted analyses identified the rhythm irregularity burden as the strongest AF-predictor (hazard ratio 3.12, 95% confidence interval 1.62-5.80, p < 0001) while accounting for the known risk factors age, CHA 2 DS 2 -VASc-Score, and NT-proBNP. Independent validation confirmed the rhythm irregularity burden as the most significant AF-predictor (hazard ratio 2.20, 95% confidence interval 1.45-3.33, p < 0001)., Interpretation: The novel, non-invasive, electrocardiogram-based rhythm irregularity burden may help adjudicating AF risk after ESUS, and subsequently guide AF-detection after ESUS. Clinical trials need to clarify if high-AF risk patients benefit from tailored secondary stroke prevention. ANN NEUROL 2023;93:479-488., (© 2022 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)

Digital smart devices have the capability of detecting atrial fibrillation (AF), but the efficacy of this type of digital screening has not been directly compared to usual care for detection of treatment-relevant AF. In the eBRAVE-AF trial ( NCT04250220 ), we randomly assigned 5,551 policyholders of a German health insurance company who were free of AF at baseline (age 65 years (median; interquartile range (11) years, 31% females)) to digital screening (n = 2,860) or usual care (n = 2,691). In this siteless trial, for digital screening, participants used a certified app on their own smartphones to screen for irregularities in their pulse waves. Abnormal findings were evaluated by 14-day external electrocardiogram (ECG) loop recorders. The primary endpoint was newly diagnosed AF within 6 months treated with oral anti-coagulation by an independent physician not involved in the study. After 6 months, participants were invited to cross-over for a second study phase with reverse assignment for secondary analyses. The primary endpoint of the trial was met, as digital screening more than doubled the detection rate of treatment-relevant AF in both phases of the trial, with odds ratios of 2.12 (95% confidence interval (CI), 1.19-3.76; P = 0.010) and 2.75 (95% CI, 1.42-5.34; P = 0.003) in the first and second phases, respectively. This digital screening technology provides substantial benefits in detecting AF compared to usual care and has the potential for broad applicability due to its wide availability on ordinary smartphones. Future studies are needed to test whether digital screening for AF leads to better treatment outcomes., (© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Background: Cardiac autonomic dysfunction after myocardial infarction identifies patients at high risk despite only moderately reduced left ventricular ejection fraction. We aimed to show that telemedical monitoring with implantable cardiac monitors in these patients can improve early detection of subclinical but prognostically relevant arrhythmic events., Methods: We did a prospective investigator-initiated, randomised, multicentre, open-label, diagnostic trial at 33 centres in Germany and Austria. Survivors of acute myocardial infarction with left ventricular ejection fraction of 36-50% had biosignal analysis for assessment of cardiac autonomic function. Patients with abnormal periodic repolarisation dynamics (≥5·75 deg 2 ) or abnormal deceleration capacity (≤2·5 ms) were randomly assigned (1:1) to telemedical monitoring with implantable cardiac monitors or conventional follow-up. Primary endpoint was time to detection of serious arrhythmic events defined by atrial fibrillation 6 min or longer, atrioventricular block class IIb or higher and fast non-sustained (>187 beats per min; ≥40 beats) or sustained ventricular tachycardia or fibrillation. This study is registered with ClinicalTrials.gov, NCT02594488., Findings: Between May 12, 2016, and July 20, 2020, 1305 individuals were screened and 400 patients at high risk were randomly assigned (median age 64 years [IQR 57-73]); left ventricular ejection fraction 45% [40-48]) to telemedical monitoring with implantable cardiac monitors (implantable cardiac monitor group; n=201) or conventional follow-up (control group; n=199). During median follow-up of 21 months, serious arrhythmic events were detected in 60 (30%) patients of the implantable cardiac monitor group and 12 (6%) patients of the control group (hazard ratio 6·33 [IQR 3·40-11·78]; p<0·001). An improved detection rate by implantable cardiac monitors was observed for all types of serious arrhythmic events: atrial fibrillation 6 min or longer (47 [23%] patients vs 11 [6%] patients; p<0·001), atrioventricular block class IIb or higher (14 [7%] vs 0; p<0·001) and ventricular tachycardia or ventricular fibrillation (nine [4%] patients vs two [1%] patients; p=0·054)., Interpretation: In patients at high risk after myocardial infarction and cardiac autonomic dysfunction but only moderately reduced left ventricular ejection fraction, telemedical monitoring with implantable cardiac monitors was highly effective in early detection of subclinical, prognostically relevant serious arrhythmic events., Funding: German Centre for Cardiovascular Research (DZHK) and Medtronic Bakken Research Center., Competing Interests: Declaration of interests AB received funding from Medtronic Bakken Research Center as co-funding for the SMART-MI trial (providing implantable cardiac monitors and staff cost for implantable cardiac monitors core lab); and speaker honoraria from Bayer, Boerhinger Ingelheim, Edwards, Medtronic, and Novartis. MSt received consulting fees, speaker honoraria, and travel expenses from Medtronic. RW received grants from German Centre for Cardiovascular Research, Bristol Myers Squibb–Pfizer, and Grant Boston Scientific; speaker honoraria from Biotronik, Boston Scientific, Medtronic, Abiomed, Bristol Myers Squibb–Pfizer, Boehringer Ingelheim, Daiichi Sankyo, Bayer, and Novartis; and travel expenses from Boston Scientific, Bristol Myers Squibb–Pfizer, Boehringer Ingelheim, Daiichi Sankyo, and Bayer. RW participated on advisory boards for Biotronik, Philips, Boehringer Ingelheim, and Daiichi Sankyo. ALu received grants and consulting fees from Boston Scientific and Biosense Webster; speaker honoraria from Boston Scientific, Biosense Webster, and Medtronic; travel expenses from Boston Scientific; and participated on data safety monitoring boards and societies for Boston Scientific. NG received grants from Boston Scientific and Medtronic and travel expenses from Bayer Vital. PC received research grants from Philips. LSM received grants from the German Research Foundation and the EU; speaker honoraria from Bayer, Astra Zeneca, Pfizer, Bristol Myers Squibb, Daiichi Sankyo, and Boehringer Ingelheim; travel expenses from Servier, Boehringer Ingelheim, and Vifor; and participated on data safety monitoring boards for Else Kröner-Fresenius-Stiftung. LSM is stock holder of Bayer and Fresenius Medical Care. MCB received consulting fees from Medtronic and Boston Scientific; speaker honoraria from Medtronic, Boston Scientific, and St Jude Medical; travel expenses from Medtronic, Jonhson & Johnson, Boston Scientific, and St Jude Medical; and participated on advisory boards for Medtronic. CL is member of the Expert Panel for medical devices for the European Commission. CU received consulting fees and speaker honoraria from Medtronic. JRE received consulting fees and speaker honoraria from Medtronic, Abbott, and Boston Scientific. UM received grants from German Centre for Cardiovascular Research (DZHK). All other authors declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Current guidelines recommend opportunistic screening for subclinical atrial fibrillation (AF) taking advantage of e-health-based technologies. However, the efficacy of a fully scalable e-health-based strategy for AF detection in a head-to-head comparison with routine symptom-based screening is unknown. eBRAVE-AF is an investigator-initiated, digital, prospective, randomized, siteless, open-label, cross-over study to evaluate an e-health-based strategy for detection of AF in a real-world setting. 67,488 policyholders of a large German health insurance company (Versicherungskammer Bayern, Germany) selected by age ≥ 50 years and a CHA 2 DS 2 -VASc score ≥ 1 (females ≥2) are invited to participate. Subjects with known AF or on treatment with oral anticoagulation are excluded. After obtaining electronic informed consent, at least 4,400 participants will be randomly assigned to an e-health-based screening strategy or routine symptom-based screening. The e-health-based strategy consists of repetitive one-minute photoplethysmographic (PPG) pulse wave assessments using a certified smartphone app (Preventicus Heartbeats, Preventicus, Jena, Germany), followed by a confirmatory 14-day ECG patch (CardioMem CM 100 XT, Getemed, Teltow, Germany) in case of abnormal findings. After 6 months, participants are crossed over to the other study arm. Primary endpoint is the incidence of newly diagnosed AF leading to oral anticoagulation indicated by an independent physician. Clinical follow-up will be at least 12 months. In both groups, follow-up is performed by 4-week app-based questionnaires, personal contact in case of abnormal findings, and matching with claim-based insurance data and medical reports. At time of writing enrollment is completed. First results are expected to be available in mid-2021., (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Few studies have explored the influence of preschoolers' behavioural problems on obesity treatment., Objectives: To assess emotional and behavioural problems before and after an obesity intervention and examine relationships between changes in child behaviour and changes in weight status., Method: The study included 77 children (4-6 years old, 53% girls, mean body mass index [BMI] z-score of 3.0 [SD 0.6]) who participated in the More and Less Study, a randomized controlled trial. Families were randomized to a parenting program or to standard treatment. The children's heights and weights (BMI z-score, primary outcome) were measured at baseline and 12 months post baseline. Parents rated their children's behaviours (secondary outcome) on the Child Behavior Checklist (CBCL) for ages 1.5 to 5 years, a questionnaire that measures psychosocial health and functioning, encompassing emotional and behavioural problems. Changes in child behaviour during treatment were examined through paired samples t tests; the influence of child behaviour on treatment effects was examined through linear regressions., Results: Child emotional and behavioural problems significantly improved after obesity treatment. Lower scores were found for Emotional Reactivity, Sleep Problems, Affective Problems, Aggressive Behaviour, Externalizing Behaviours, Oppositional Defiant Problems, and Total Problems. Child behaviour significantly affected obesity treatment results: Attention Problems and attention deficit hyperactivity disorder (ADHD) at baseline contributed to increasing BMI z-scores, whereas Oppositional Defiant Problems, Externalizing Behaviours, and a higher number of behavioural problems predicted decreasing BMI z-scores., Conclusions: Child behaviours at baseline influenced treatment results. Child emotional and behavioural problems improved post treatment. The results suggest that obesity treatment may help in reducing emotional distress among preschoolers., (© 2019 World Obesity Federation.)