Cardiovascular digital health journal最新文献

{"title":"Evaluation of an adaptive, rule-based dosing algorithm to maintain therapeutic anticoagulation during atrial fibrillation ablation","authors":"Matthew M. Kalscheur MD, FHRS ,&nbsp;Matthew R. Martini MD ,&nbsp;Marcus Mahnke BS ,&nbsp;Fauzia Osman MPH ,&nbsp;Daniel S. Modaff MD ,&nbsp;Blake E. Fleeman MD ,&nbsp;Ryan T. Kipp MD, FHRS ,&nbsp;Jennifer M. Wright MD, FHRS ,&nbsp;Joshua E. Medow MD, PhD","doi":"10.1016/j.cvdhj.2023.11.001","DOIUrl":"10.1016/j.cvdhj.2023.11.001","url":null,"abstract":"<div><h3>Background</h3><p>Cerebral thromboembolism during atrial fibrillation (AF) ablation is an infrequent (0.17%) complication in part owing to strict adherence to intraprocedural anticoagulation. Failure to maintain therapeutic anticoagulation can lead to an increase in events, including silent cerebral ischemia.</p></div><div><h3>Objective</h3><p>To evaluate a computerized, clinical decision support system (CDSS) to dose intraprocedural anticoagulation and determine if it leads to improved intraprocedural anticoagulation outcomes during AF ablation.</p></div><div><h3>Methods</h3><p>The Digital Intern dosing algorithm is an adaptive, rule-based CDSS for heparin dosing. The initial dose is calculated from the patient’s weight, baseline activated clotting time (ACT), and outpatient anticoagulant. Subsequent recommendations adapt based on individual patient ACT changes. Outcomes from 50 cases prior to algorithm introduction were compared to 139 cases using the algorithm.</p></div><div><h3>Results</h3><p>Procedures using the dosing algorithm reached goal ACT (over 300 seconds) faster (17.6 ± 11.1 minutes vs 33.3 ± 23.6 minutes pre-algorithm, <em>P</em> &lt; .001). ACTs fell below goal while in the LA (odds ratio 0.20 [0.10–0.39], <em>P</em> &lt; .001) and rose above 400 seconds less frequently (odds ratio 0.21 [0.07–0.59], <em>P</em> = .003). System Usability Scale scores were excellent (96 ± 5, n = 7, score &gt;80.3 excellent). Preprocedure anticoagulant, weight, baseline ACT, age, sex, and renal function were potential predictors of heparin dose to achieve ACT &gt;300 seconds and final infusion rate.</p></div><div><h3>Conclusion</h3><p>A heparin dosing CDSS based on rules and adaptation to individual patient response improved maintenance of therapeutic ACT during AF ablation and was rated highly by nurses for usability.</p></div>","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 6","pages":"Pages 173-182"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666693623000749/pdfft?md5=8aa219005b5980da0d4d8a24b2a7977f&pid=1-s2.0-S2666693623000749-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764124","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":"DETECTION OF MYOCARDIAL SCAR AMONG CARDIAC SARCOIDOSIS PATIENTS ON CMR IMAGING USING DEEP LEARNING ON ECG SIGNALS","authors":"Ishan Vatsaraj,&nbsp;Shane Loeffler,&nbsp;Eugene G. Kholmovski,&nbsp;Jonathan Chrispin,&nbsp;Natalia A. Trayanova","doi":"10.1016/j.cvdhj.2023.08.006","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.006","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages S2-S3"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49715907","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":"USING REMOTE MONITORING OF CPAP USE AND COMPLIANCE TO MANAGE PATIENTS WITH OBSTRUCTIVE SLEEP APNEA AND ATRIAL FIBRILLATION","authors":"Leah Sarang Park,&nbsp;Nicolle Sara Milstein,&nbsp;Kerry Limberg,&nbsp;Alexandra Musat,&nbsp;Owen Les,&nbsp;Advay G. Bhatt,&nbsp;Mohammadali Habibi,&nbsp;Mark W. Preminger,&nbsp;Tina C. Sichrovsky,&nbsp;Dan L. Musat,&nbsp;Suneet Mittal","doi":"10.1016/j.cvdhj.2023.08.009","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.009","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages S3-S4"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49716107","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":"CONTEXTUALLY TAILORED TEXT MESSAGES TO AUGMENT CARDIAC REHABILITATION: THE VIRTUAL APPLICATION-SUPPORTED ENVIRONMENT TO INCREASE EXERCISE (VALENTINE) STUDY","authors":"Kashvi Gupta,&nbsp;Jieru Shi,&nbsp;Walter Dempsey,&nbsp;Bhramar Mukherjee,&nbsp;Sachin Kheterpal,&nbsp;Predrag Klasnja,&nbsp;Brahmajee K. Nallamothu,&nbsp;Jessica Golbus","doi":"10.1016/j.cvdhj.2023.08.010","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.010","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages S4-S5"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734670","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":"Thank you Reviewers","authors":"","doi":"10.1016/S2666-6936(23)00064-6","DOIUrl":"https://doi.org/10.1016/S2666-6936(23)00064-6","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page i"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49716139","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":"ARTIFICIAL INTELLIGENCE-BASED WALL THICKNESS ANALYSIS TO PREDICT ARRHYTHMOGENIC MYOCARDIAL SUBSTRATE","authors":"Christian D. Marton,&nbsp;Christopher Villongco,&nbsp;David Krummen,&nbsp;Gordon Ho","doi":"10.1016/j.cvdhj.2023.08.008","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.008","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S3"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734667","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":"Episodes of Atrial Fibrillation and Symptoms: A Temporal Analysis","authors":"Hamid Ghanbari MD, MPH, FHRS ,&nbsp;Daniel Whibley PhD ,&nbsp;H. Immo Lehmann MD, PhD ,&nbsp;Zhi Li PhD ,&nbsp;Anna Kratz PhD ,&nbsp;Daniel J. Clauw MD ,&nbsp;Brahmajee K. Nallamothu MD, MPH","doi":"10.1016/j.cvdhj.2023.06.004","DOIUrl":"10.1016/j.cvdhj.2023.06.004","url":null,"abstract":"<div><h3>Background</h3><p>Data on the relationship between symptoms and atrial fibrillation (AF) episodes are limited.</p></div><div><h3>Objective</h3><p>The objective of this study was to determine the strength of temporal association between AF episodes and symptoms.</p></div><div><h3>Methods</h3><p>This cross-sectional ambulatory assessment study was performed in a tertiary care center between June 2018 and December 2021. Patients with paroxysmal AF (1 episode of AF, burden not exceeding 95%) who used a mobile application and continuous wearable electrocardiogram monitor for 21 days were enrolled. The primary outcome was worse symptoms (symptoms above the mean score) over the study period. The association between worse symptoms and the presence of AF was evaluated for different time epochs. Multilevel mixed-effects models were used to quantify associations after accounting for confounders.</p></div><div><h3>Results</h3><p>Worse symptoms were more likely to be associated with the presence of AF episodes 15 minutes prior to the reporting of palpitations (OR, 2.8 [95% CI, 1.6–5.0]; <em>P</em> &lt; .001), shortness of breath (OR, 2.2 [95% CI, 1.3–3.7]; <em>P</em> = .003), dizziness/lightheadedness (OR, 2.0 [95% CI, 1.0–3.7]; <em>P</em> = .04), and fatigue (OR, 1.7 [95% CI, 1.0–2.9]; <em>P</em> = .03). The correlation between the severity of symptoms and AF lessened as the time interval from AF events to symptoms increased.</p></div><div><h3>Conclusion</h3><p>There is a significant relationship between onset of AF episodes and reporting of symptoms. This association diminishes over time and varies across different symptoms. If confirmed in larger studies, these findings may inform AF interventions that target symptoms just in time prior to a clinical visit.</p></div>","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages 143-148"},"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/57/8a/main.PMC10577487.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241668","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":"TRANSFORMING OUR POST-ATRIAL FIBRILLATION ABLATION FOLLOW UP PATIENT PATHWAY USING FIBRICHECK: A SMARTPHONE DIGITAL APP USED FOR REMOTE MONITORING","authors":"Sharon Toora,&nbsp;Ajay Sharma,&nbsp;Neil T. Srinivasan,&nbsp;Paula McAuley","doi":"10.1016/j.cvdhj.2023.08.003","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.003","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Pages S1-S2"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49716140","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":"FEASIBILITY OF REMOTE MONITORING FOR FATAL CORONARY HEART DISEASE FROM SINGLE LEAD ECG","authors":"Liam Butler,&nbsp;Turgay Celik,&nbsp;Ibrahim Karabayir,&nbsp;Lokesh Chinthala,&nbsp;Mohammad Samie Tootooni,&nbsp;David D. McManus,&nbsp;David Herrington,&nbsp;Oguz Akbilgic","doi":"10.1016/j.cvdhj.2023.08.002","DOIUrl":"https://doi.org/10.1016/j.cvdhj.2023.08.002","url":null,"abstract":"","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 5","pages":"Page S1"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734728","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}