European Journal of Heart Failure最新文献

{"title":"Survival benefit after successful tricuspid valve transcatheter edge-to-edge repair in patients with high TRI-SCORE-insights from the EuroTR registry.","authors":"Matthias Gröger,Jörg Hausleiter,Dominik Felbel,Wolfgang Rottbauer,Karl-Patrik Kresoja,Jennifer von Stein,Vera Fortmeier,Christoph Pauschinger,Mohammad Kassar,Bjoern Goebel,Paolo Denti,Paul Achouh,Tienush Rassaf,Manuel Barreiro-Perez,Peter Boekstegers,Andreas Rück,Monika Zdanyte,Marianna Adamo,Flavien Vincent,Philipp Schlegel,Sebastian Rosch,Mirjam G Wild,Christian Besler,Stefan Toggweiler,Stephanie Brunner,Julia Grapsa,Tiffany Patterson,Holger Thiele,Tobias Kister,Giuseppe Tarantini,Giulia Masiero,Marco De Carlo,Alessandro Sticchi,Fabian Voss,Amin Polzin,Antonio Popolo Rubbio,Francesco Bedogni,Mathias H Konstandin,Eric Van Belle,Marco Metra,Tobias Geisler,Rodrigo Estévez-Loureiro,Amir A Mahabadi,Nicole Karam,Francesco Maisano,Philipp Lauten,Fabien Praz,Daniel Kalbacher,Volker Rudolph,Christos Iliadis,Philipp Lurz,Lukas Stolz,Mirjam Kessler","doi":"10.1093/ejhf/xuag064","DOIUrl":"https://doi.org/10.1093/ejhf/xuag064","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"13 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Illusion of Improvement in ATTR-CM: Re-evaluating Informative Missingness and Discordant Endpoints in ATTRibute-CM.","authors":"Zhang Liu,Weiqin Huang","doi":"10.1093/ejhf/xuag089","DOIUrl":"https://doi.org/10.1093/ejhf/xuag089","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"34 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147489968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning to reveal hidden HFpEF: promise, pitfalls, and next steps.","authors":"Friedrich Koehler,Kieran Docherty,Stefan Störk","doi":"10.1093/ejhf/xuag081","DOIUrl":"https://doi.org/10.1093/ejhf/xuag081","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"20 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147490007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pancreatic Involvement During Acute Heart Failure: Insights from the AVANTI trial.","authors":"Marlene A T Vijver,Olivier C Dams,Geert H D Voordes,Robert C Verdonk,Adriaan A Voors,Steven R Goldsmith,Luca Monzo,Nicolas Girerd,Robert Frost,Daniel Burkhoff,Finn Gustafsson,Kevin Duarte,Faiez Zannad,James E Udelson,Dirk J van Veldhuisen","doi":"10.1093/ejhf/xuag086","DOIUrl":"https://doi.org/10.1093/ejhf/xuag086","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"147 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147490045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative diagnostic performance of machine learning models and traditional scores for HFpEF in older adults.","authors":"Luca Monzo,Olivier Huttin,Emmanuel Bresso,Kevin Duarte,Cecilia Linde,Lars H Lund,Camilla Hage,Erwan Donal,Martin Magnusson,Peter Nilsson,Margret Leosdottir,Erwan Bozec,Guillaume Baudry,Faiez Zannad,Nicolas Girerd","doi":"10.1093/ejhf/xuag039","DOIUrl":"https://doi.org/10.1093/ejhf/xuag039","url":null,"abstract":"AIMSDiagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging, particularly in older individuals. We hypothesized that machine learning (ML) approaches could improve diagnostic accuracy compared with HFpEF scores.METHODSWe evaluated the diagnostic performance of four supervised ML algorithms (random forest [RF], extreme gradient boosting [XGBoost], support vector machines, and decision trees) to identify HFpEF in individuals aged 60 to 80 years. The models were trained on three derivation cohorts (N = 1474; HFpEF: KaRen, MEDIA cohorts; community-based without HF: Malmö Preventive Project) and validated in two independent cohorts (N = 542; HFpEF: HF-Nancy cohort; community-based without HF: STANISLAS cohort). Performance metrics included accuracy, F-measure, area under the receiver operating characteristic curve (AUC), and C-index. ML models were also compared with HFA-PEFF, H2FPEF, and HFpEF-ABA scores.RESULTSAmong 2017 participants, RF and XGBoost demonstrated the highest diagnostic value, outperforming traditional HFpEF scores (AUC: RF, 0.98; XGBoost, 0.96; HFA-PEFF, 0.86; H2FPEF, 0.79). RF and XGBoost also showed the greatest gain in discriminative capacity among ML algorithms when compared with H2FPEF (ΔC-index: RF +0.20, XGBoost +0.18), HFA-PEFF (ΔC-index: RF +0.12, XGBoost +0.10), and HFpEF-ABA score (ΔC-index: RF +0.17, XGBoost +0.15). Elevated natriuretic peptides were by far the most influential feature in both RF and XGBoost models (36% of model explainability).CONCLUSIONSMachine learning algorithms, particularly RF and XGBoost, demonstrated superior diagnostic accuracy compared to established HFpEF scoring systems. These findings support the potential integration of ML-based tools into clinical workflows to facilitate earlier identification of HFpEF and prompt initiation of guideline-recommended therapies.","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"80 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147483389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The β-blockers dilemma in HFpEF: Indicated, inert, or harmful?","authors":"Luca Monzo,Birgit Assmus,Johann Bauersachs,Nicolas Girerd","doi":"10.1093/ejhf/xuag087","DOIUrl":"https://doi.org/10.1093/ejhf/xuag087","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"10 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147478535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term Safety and Performance of an Implantable IVC Sensor for Congestion-Guided Management in Heart Failure: 12-Month Results from the FUTURE-HF Trial Portfolio.","authors":"Kevin Damman,Nir Uriel,Mandeep R Mehra,Jeffrey Testani,Marat Fudim,Kunjan Bhatt,Rami Kahwash,Trejeeve Martyn,Scott Feitell,George Khabeishvili,Petr Neuzil,Gabriel Sayer,Irakli Gogorishvili,Chris Critoph,Faisal Sharif,Ian Loke,Roy S Gardner,Ondrej Toman,Andrew Flett,Jasper J Brugts,Ali Vazir,Teresa Buxo,Alastair Gray,Barry R Greene,Paul R Kalra","doi":"10.1093/ejhf/xuag080","DOIUrl":"https://doi.org/10.1093/ejhf/xuag080","url":null,"abstract":"AIMSCongestion signals heart failure progression and drives decompensation. Reliable management strategies remain poorly developed. We evaluated 12-months of congestion-guided clinical management following implantation of an inferior vena cava (IVC) sensor.METHODS AND RESULTSData were combined from two prospective studies (FUTURE-HF and FUTURE-HFII) (N=65, mean age 65.7±9.5 years; 75.4% NYHA III; 90.8% HFrEF). Patients recorded daily IVC parameters. Adjudicated safety outcomes, sensor-derived IVC area measurement versus CT imaging, medication adjustments, and clinical outcomes at 12-months were analysed.No adjudicated device or procedure-related serious adverse events occurred. Excellent correlation was observed between sensor-derived and CT-derived IVC area (n=44; R2=0.97; mean relative error <5%). Patient adherence was 93% and a sustained, significant reduction in IVC area was observed (8.1%, p<0.005), correlated with clinical improvements (p<0.001), despite no significant change in body weight. Improvements were observed in NYHA functional class (Class III: 74.5% improved to 40.0%; p<0.01) and NT-proBNP (median 1697 reduced to 998 ng/L; p<0.001). HF events (HFEs) were lower post-implant (0.31/year, 1.67/year pre-implant; 84.5% relative reduction; rate ratio: 0.18; 95% CI: 0.08-0.29). Medication adjustments (n=415) included diuretic titration (57%) and increased use of guideline directed medical therapy from baseline to 12-months (28%).CONCLUSIONSCongestion management through ambulatory IVC monitoring demonstrated excellent safety, sustained accuracy, and high levels of patient adherence at 12-months after sensor implantation. This was associated with improved HF congestion status and a lower observed rate of HFEs, supporting investigation of congestion-guided management using IVC monitoring in a pivotal randomized clinical trial.","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"37 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"We Fixed the Valve. It Is Time to Treat the Disease.","authors":"Antoni Bayes-Genis,Bernhard Haring","doi":"10.1093/ejhf/xuag085","DOIUrl":"https://doi.org/10.1093/ejhf/xuag085","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"28 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147471369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Loop diuretics in decompensated HF - a good start is half the battle?","authors":"Lara E E C Zonneveld,Jan Biegus,Jozine M Ter Maaten","doi":"10.1093/ejhf/xuag068","DOIUrl":"https://doi.org/10.1093/ejhf/xuag068","url":null,"abstract":"","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"82 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Sauna bathing on Exercise Capacity and Muscle Function in HFpEF.","authors":"Tarek Bekfani,Ammar Abo Hwach,Ricarda Moebert,Sophia Seibel,Alina Burger,Thilo Kaehne,Mohamed M Bekhite,Kris G Vargas,Mariam Janashia,Thomas Groscheck,Alaa Daboul,Thomas Rauwolf,Tom Behrendt,Michael Lichtenauer,Vera Paar,Peter Lemmer,Tim Friede,Lutz Schega,Tor Biering-Sorensen,P Christian Schulze,Stefan D Anker,Stephan von Haehling,Alexander Schmeisser,Ruediger C Braun-Dullaeus","doi":"10.1093/ejhf/xuag082","DOIUrl":"https://doi.org/10.1093/ejhf/xuag082","url":null,"abstract":"BACKGROUND AND AIMSTreatment options to improve exercise capacity in heart failure with preserved ejection fraction (HFpEF) are limited. We hypothesized that sauna bathing enhances exercise performance, skeletal muscle function, body composition, and quality of life (QoL) in HFpEF. However, benefits may decline after discontinuation. SAUNA-HFpEF is the first prospective mechanistic, translational pilot study investigating feasibility, safety, and efficacy of supervised sauna bathing in stable HFpEF outpatients.METHODSParticipants completed 10 weeks of sauna sessions (60°C, twice weekly), with duration progressively increased from 8 to 15 minutes. Blood pressure and heart rate were monitored three times per session. Assessments were performed at baseline, end of study (after 10 weeks intervention), and 3 months after sauna withdrawal (follow-up), including echocardiography, cardiopulmonary exercise testing, 6-minute walk test (6MWT), quadriceps strength testing, QoL questionnaires (SF-36, HADS, EQ-5D), laboratory testing, and body composition. Skeletal muscle biopsies were collected at baseline and at end of study to explore structural and metabolic mechanisms.RESULTSEighteen patients completed the study with 97% adherence and no adverse events. Peak VO2 and 6MWT improved [(18.2±5.1 to 20.6±5.7 ml/min/kg, p<0.001), 494±95 to 527±111m (p=0.006)], as did anaerobic threshold, quadriceps strength, diastolic function (E/e´), HADS-depression-score, and SF-36 social functioning; p<0.05). At follow-up, peak VO2 and anaerobic threshold declined compared to end of study (p<0.01). Body fat mass decreased continuously. Muscle biopsies showed anabolic/metabolic upregulation and catabolism downregulation.CONCLUSIONSauna bathing was safe, feasible, and improved exercise capacity, body composition, muscle function, and QoL in HFpEF. Benefits diminished after withdrawal. A large multicentre controlled randomized trial is currently being planned.","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"55 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2026-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147454589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}