Cardiovascular digital health journal最新文献

{"title":"HOME HEART HOSPITAL (H3): A NEW HIGH-NEED AND COST CARE MODEL, FEASIBILITY & INITIAL 3-YEAR EXPERIENCE","authors":"Kareem Osman, Kaelin DeMuth, Yi Xing Liu, Ahmed F. Osman, Michael Shen","doi":"10.1016/j.cvdhj.2023.08.016","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.016","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S8"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness","authors":"Mikkel T. Hansen MSc ,&nbsp;Tue Rømer MSc ,&nbsp;Amalie Højgaard BM ,&nbsp;Karina Husted PhD ,&nbsp;Kasper Sørensen PhD ,&nbsp;Samuel E. Schmidt PhD, AP ,&nbsp;Flemming Dela MD ,&nbsp;Jørn W. Helge PhD","doi":"10.1016/j.cvdhj.2023.08.020","DOIUrl":"10.1016/j.cvdhj.2023.08.020","url":null,"abstract":"<div><h3>Background</h3><p>Low cardiorespiratory fitness (ie, peak oxygen consumption [<span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak]) is associated with cardiovascular disease and all-cause mortality and is recognized as an important clinical tool in the assessment of patients. Cardiopulmonary exercise test (CPET) is the gold standard procedure for determination of <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak but has methodological challenges as it is time-consuming and requires specialized equipment and trained professionals. Seismofit is a chest-mounted medical device for estimating <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak at rest using seismocardiography.</p></div><div><h3>Objective</h3><p>The purpose of this study was to investigate the validity and reliability of Seismofit <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak estimation in a healthy population.</p></div><div><h3>Methods</h3><p>On 3 separate days, 20 participants (10 women) underwent estimations of <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak with Seismofit (×2) and Polar Fitness Test (PFT) in randomized order and performed a graded CPET on a cycle ergometer with continuous pulmonary gas exchange measurements.</p></div><div><h3>Results</h3><p>Seismofit <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak showed a significant bias of –3.1 ± 2.4 mL·min^–1·kg^–1 (mean ± 95% confidence interval) and 95% limits of agreement (LoA) of ±10.8 mL·min^–1·kg^–1 compared to CPET. The mean absolute percentage error (MAPE) was 12.0%. Seismofit <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak had a coefficient of variation of 4.5% ± 1.3% and an intraclass correlation coefficient of 0.95 between test days and a bias of 0.0 ± 0.4 mL·min^–1·kg^–1 with 95% LoA of ±1.6 mL·min^–1·kg^–1 in test–retest. In addition, Seismofit showed a 2.4 mL·min^–1·kg^–1 smaller difference in 95% LoA than PFT compared to CPET.</p></div><div><h3>Conclusion</h3><p>The Seismofit is highly reliable in its estimation of <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak. However, based on the measurement error and MAPE &gt;10%, the Seismofit <span><math><mrow><mover><mi>V</mi><mo>.</mo></mover></mrow></math></span>O₂peak estimation model needs further improvement to be considered for use in clinical settings.</p></div>","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages 155-163"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/90/bf/main.PMC10577491.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ECG-DERIVED METRICS FOR CONTINUOUS STRESS MONITORING IN VULNERABLE GROUPS: A PROSPECTIVE STUDY ON INFORMAL COMMUNITY-BASED CAREGIVERS","authors":"Stacey McKenna,&nbsp;Andrew Miller,&nbsp;Naomi McCord,&nbsp;Holly Easlea,&nbsp;Austin Gibbs","doi":"10.1016/j.cvdhj.2023.08.005","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.005","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S2"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49715905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"POINT OF CARE AI DRIVEN ER2EP REFERRALS FOR NON-VALVULAR ATRIAL FIBRILLATION PATIENTS IN THE EMERGENCY DEPARTMENT","authors":"Kim Schwab","doi":"10.1016/j.cvdhj.2023.08.004","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.004","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S2"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49716141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-ASSISTED SHORT-TERM FORECASTING OF IMPENDING ATRIAL FIBRILLATION EPISODES USING A WEARABLE ECG PATCH","authors":"Soonil Kwon,&nbsp;Jangwon Suh,&nbsp;Jungmin Ko,&nbsp;Hyo-Jeong Ahn,&nbsp;So-Ryoung Lee,&nbsp;Wonjong Rhee,&nbsp;Eue-Keun Choi,&nbsp;Seil Oh","doi":"10.1016/j.cvdhj.2023.08.012","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.012","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S6"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49715729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A MULTI-MODAL WORKFLOW FOR INTEGRATING AI-BASED CT SCAR IMAGING AND COMPUTATIONAL ECG MAPPING TARGETS FOR VENTRICULAR TACHYCARDIA ABLATION","authors":"Christopher Villongco,&nbsp;Christian D. Marton,&nbsp;Tony Moyeda,&nbsp;David E. Krummen,&nbsp;Gordon Ho","doi":"10.1016/j.cvdhj.2023.08.018","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.018","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S9"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"INTEGRATED ACTIVITY AND RHYTHM DATA FOR PERSONALIZED ATRIAL FIBRILLATION MANAGEMENT FOLLOWING CATHETER ABLATION: A WEARABLE DEVICE APPROACH","authors":"Nikhil Ahluwalia,&nbsp;Hakam Abbass,&nbsp;Richard J. Schilling","doi":"10.1016/j.cvdhj.2023.08.014","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.014","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages S6-S7"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"12-LEAD MEDIAN BEAT IS ALL YOU NEED FOR STRUCTURAL HEART DISEASE SCREENING","authors":"Kathryn Mangold,&nbsp;Rickey Carter,&nbsp;Francisco Lopez-Jimenez,&nbsp;Paul A. Friedman,&nbsp;Zachi I. Attia","doi":"10.1016/j.cvdhj.2023.08.015","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.015","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S7"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Filtering of remote monitoring alerts transmitted by cardiac implantable electronic devices and reclassification of atrial fibrillation events by a new algorithm","authors":"Arnaud Lazarus MD ,&nbsp;Marika Gentils MS ,&nbsp;Stefan Klaes PhD ,&nbsp;Issam Ibnouhsein PhD ,&nbsp;Arnaud Rosier MD, PhD ,&nbsp;Ghassan Moubarak MD ,&nbsp;Jean-Luc Bonnet PhD ,&nbsp;Jagmeet P. Singh MD, PhD, FHRS ,&nbsp;Pascal Defaye MD, PhD","doi":"10.1016/j.cvdhj.2023.08.019","DOIUrl":"10.1016/j.cvdhj.2023.08.019","url":null,"abstract":"<div><h3>Background</h3><p>Cardiac implantable electronic devices (CIEDs) are an important means of atrial fibrillation (AF) detection. However, the AF burden measurements and notifications transmitted by CIEDs are not directly related to the clinical classification of paroxysmal, persistent, or permanent AF. Moreover, AF alerts are the most frequent form of notification, imposing a time-consuming review on caregivers.</p></div><div><h3>Objective</h3><p>The purpose of this study was to compare the incidence of standard AF burden-related notifications in remotely monitored (RM) patients with the incidence of events detected after filtering by a new proprietary algorithm implementing the standard European Society of Cardiology classification of AF.</p></div><div><h3>Methods</h3><p>Between 2017 and 2022, all RM patients with daily AF burden measurements available for ≥30 days and ≥1 AF burden-related alerts were enrolled at 68 medical centers. The incidence of CIED-transmitted alerts was compared to that of AF episodes detected by a new proprietary algorithm and classified as “first recorded episode of AF”, “paroxysmal AF”, “increased paroxysmal AF”, “persistent AF”, or “end of persistent AF back to paroxysmal AF or back to sinus rhythm.”</p></div><div><h3>Results</h3><p>Between January 2017 and September 2022, this retrospective study analyzed data from 4162 recipients of an Abbott, Biotronik, Boston Scientific, or Medtronic CIED, RM over mean follow-up of 605 ± 386 days. The algorithm broke down 67,883 AF burden-related alerts into 9728 (14.3%) clinically relevant AF events.</p></div><div><h3>Conclusion</h3><p>A new AF alert algorithm successfully identified clinically significant AF events in RM CIED recipients and would markedly limit the total number of transmitted alerts that require review by caregivers.</p></div>","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages 149-154"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/94/a9/main.PMC10577488.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ARTIFICIAL INTELLIGENCE-ENABLED ELECTROCARDIOGRAM ALGORITHM FOR SIMULTANEOUS ASSESSMENT OF LEFT VENTRICULAR SYSTOLIC AND DIASTOLIC DYSFUNCTION","authors":"Eunjung Lee,&nbsp;Rahul Dhawan,&nbsp;Zachi Itzhak Attia,&nbsp;Francisco Lopez-Jimenez,&nbsp;Paul A. Friedman,&nbsp;Horng H. Chen,&nbsp;Jae K. Oh","doi":"10.1016/j.cvdhj.2023.08.011","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.011","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages S5-S6"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}