npj Cardiovascular Health最新文献

Transcriptomic analysis of circulating extracellular vesicles during the perioperative period of Fontan and Glenn surgery

npj Cardiovascular Health Pub Date : 2024-12-18 DOI: 10.1038/s44325-024-00039-1

Felipe Takaesu, Khalid Yasseen, Evan Yang, Hyun-Ji Park, John M. Kelly, Christopher K. Breuer, Michael E. Davis

{"title":"Transcriptomic analysis of circulating extracellular vesicles during the perioperative period of Fontan and Glenn surgery","authors":"Felipe Takaesu, Khalid Yasseen, Evan Yang, Hyun-Ji Park, John M. Kelly, Christopher K. Breuer, Michael E. Davis","doi":"10.1038/s44325-024-00039-1","DOIUrl":"10.1038/s44325-024-00039-1","url":null,"abstract":"Single-ventricle defects are treated with the Glenn and Fontan procedures, which offer lifesaving relief but result in lifelong complications. To address the lack of outcome predictors, we conducted an untargeted transcriptomic analysis to identify RNA biomarkers in serum and circulating sEVs from 25 Glenn or Fontan patients with three samples exclusively used for experimental assays. Unsupervised analysis revealed a distinction between pre-op and post-op samples in both surgical groups. Differential gene expression and pathway analysis showed enrichment for pro-angiogenic cargo in post-op sEVs compared to pre-op sEVs. Wound healing assays revealed post-op Fontan sEVs induce a stronger pro-angiogenic response than pre-op Fontan sEVs. A PLSR-guided approach revealed MAPK6, GLE1, hsa-miR-340-5p, and hsa-miR-199b-5p as key transcripts in the observed wound healing response. Lastly, EV-Origin revealed decreased secretion of sEV from cardiac tissue and increased secretion from brain tissue for both Fontan and Glenn samples. This work demonstrates the potential of sEV RNAs as biomarkers for patients with Fontan physiology, enabling quicker diagnosis for Fontan-associated complications.","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00039-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142845208","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}

引用次数: 0

Multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ECG from arbitrary single-lead ECG

npj Cardiovascular Health Pub Date : 2024-12-04 DOI: 10.1038/s44325-024-00036-4

Jiarong Chen, Wanqing Wu, Tong Liu, Shenda Hong

{"title":"Multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ECG from arbitrary single-lead ECG","authors":"Jiarong Chen, Wanqing Wu, Tong Liu, Shenda Hong","doi":"10.1038/s44325-024-00036-4","DOIUrl":"10.1038/s44325-024-00036-4","url":null,"abstract":"Electrocardiogram (ECG) has emerged as a widely accepted diagnostic instrument for cardiovascular diseases (CVD). The standard clinical 12-lead ECG configuration causes considerable inconvenience and discomfort, while wearable devices offers a more practical alternative. To reduce information gap between 12-lead ECG and single-lead ECG, this study proposes a multi-channel masked autoencoder (MCMA) for reconstructing 12-Lead ECG from arbitrary single-lead ECG, and a comprehensive evaluation benchmark, ECGGenEval, encompass the signal-level, feature-level, and diagnostic-level evaluations. MCMA can achieve the state-of-the-art performance. In the signal-level evaluation, the mean square errors of 0.0175 and 0.0654, Pearson correlation coefficients of 0.7772 and 0.7287. In the feature-level evaluation, the average standard deviation of the mean heart rate across the generated 12-lead ECG is 1.0481, the coefficient of variation is 1.58%, and the range is 3.2874. In the diagnostic-level evaluation, the average F1-score with two generated 12-lead ECG from different single-lead ECG are 0.8233 and 0.8410.","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00036-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762902","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}

引用次数: 0

Genetic and molecular underpinnings of atrial fibrillation

npj Cardiovascular Health Pub Date : 2024-12-04 DOI: 10.1038/s44325-024-00035-5

Mason E. Sweat, WIlliam T. Pu

引用次数: 0

Optimal facial regions for remote heart rate measurement during physical and cognitive activities 体力和认知活动中远程心率测量的最佳面部区域

npj Cardiovascular Health Pub Date : 2024-11-29 DOI: 10.1038/s44325-024-00033-7

Shuo Li, Mohamed Elgendi, Carlo Menon

{"title":"Optimal facial regions for remote heart rate measurement during physical and cognitive activities","authors":"Shuo Li, Mohamed Elgendi, Carlo Menon","doi":"10.1038/s44325-024-00033-7","DOIUrl":"10.1038/s44325-024-00033-7","url":null,"abstract":"Remote photoplethysmography (rPPG) has gained prominence as a non-contact and real-time technology for heart rate monitoring. A critical factor in rPPG’s accuracy is the selection of regions of interest (ROI), as it can significantly influence prediction outcomes. Most studies typically use the forehead and cheeks as ROIs, but little research has explored other facial regions or how stable these ROIs are during physical movement and cognitive tasks. In this study, we analyzed 28 facial regions based on anatomical definitions using two mixed datasets derived from three public databases: LGI-PPGI, UBFC-rPPG, and UBFC-Phys. We applied rPPG algorithms such as orthogonal matrix image transformation (OMIT), plane-orthogonal-to-skin (POS), chrominance-based (CHROM), and local group invariance (LGI). Our findings show that the glabella, medial forehead, lateral forehead, malars, and upper nasal dorsum consistently perform well, with the glabella achieving the highest overall evaluation score. These results offer valuable insights for advancing remote heart rate monitoring technologies.","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00033-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737663","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}

引用次数: 0

Pre-exposure immunohematologic features of heart failure associate with COVID-19 mortality 心力衰竭的暴露前免疫血液学特征与 COVID-19 死亡率有关

npj Cardiovascular Health Pub Date : 2024-11-21 DOI: 10.1038/s44325-024-00025-7

David A. Zidar, Brigid M. Wilson, Sadeer G. Al-Kindi, David Sweet, Steven Juchnowski, Lauren Huntington, Carey Shive, Jürgen Bosch, Christopher King, Jonathan Karn, Mina K. Chung, Carl B. Gillombardo, Mohammad Karnib, Varun Sundaram, Sahil A. Parikh, Mukesh Jain, Douglas D. Gunzler, Jacek Skarbinski, W. H. Wilson Tang, Donald D. Anthony, Timothy A. Chan, Jarrod E. Dalton

{"title":"Pre-exposure immunohematologic features of heart failure associate with COVID-19 mortality","authors":"David A. Zidar, Brigid M. Wilson, Sadeer G. Al-Kindi, David Sweet, Steven Juchnowski, Lauren Huntington, Carey Shive, Jürgen Bosch, Christopher King, Jonathan Karn, Mina K. Chung, Carl B. Gillombardo, Mohammad Karnib, Varun Sundaram, Sahil A. Parikh, Mukesh Jain, Douglas D. Gunzler, Jacek Skarbinski, W. H. Wilson Tang, Donald D. Anthony, Timothy A. Chan, Jarrod E. Dalton","doi":"10.1038/s44325-024-00025-7","DOIUrl":"10.1038/s44325-024-00025-7","url":null,"abstract":"Chronic heart failure, like diabetes, is a pro-inflammatory cardiometabolic condition, but its association with immunodeficiency is less well established. We conducted a retrospective cohort study of US Veterans infected during the first wave of COVID-19 (n = 92,533) to identify relationships between comorbidities, pre-infection immunohematologic (IH) features (based on complete blood cell count parameters), and 60-day mortality. A biomarker sub-analysis of anti-SARS CoV2 antibodies and cytokine levels was also performed (n = 44). Heart failure was independently associated with higher COVID-19 mortality and with the specific IH alterations (especially relative anemia, anisocytosis, and lymphopenia) which themselves predicted non-survival or protracted inflammation. Over half the risk conferred by heart failure was mediated by its anticipatory IH features whereas diabetes risk was unrelated to its associated IH profile. These findings indicate that heart failure is associated with a COVID-19 immunodeficiency distinct from that of diabetes which correlates with antecedent erythrocyte and lymphocyte dyshomeostasis.","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00025-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679986","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}

引用次数: 0

Atrial cardiomyopathy in endurance athletes 耐力运动员的心房心肌病

npj Cardiovascular Health Pub Date : 2024-11-21 DOI: 10.1038/s44325-024-00032-8

L. W. Spencer, P. D’Ambrosio, M. Ohanian, S. J. Rowe, K. Janssens, G. Claessen, D. Fatkin, A. La Gerche

{"title":"Atrial cardiomyopathy in endurance athletes","authors":"L. W. Spencer, P. D’Ambrosio, M. Ohanian, S. J. Rowe, K. Janssens, G. Claessen, D. Fatkin, A. La Gerche","doi":"10.1038/s44325-024-00032-8","DOIUrl":"10.1038/s44325-024-00032-8","url":null,"abstract":"Atrial cardiomyopathy is characterized by electrical and structural remodeling of the atria, which can predispose to arrhythmias and thromboembolic stroke. Changes in atrial size and function are frequently observed in athletes engaged in endurance sports, a phenomenon known as “athlete’s heart.” Common left atrial observations in athletes may include larger left atrial volumes but lower left atrioventricular volume ratios, mildly reduced left atrial strain, possible mild left atrial fibrosis, longer P-wave duration, and greater atrial ectopic activity. However, it remains unclear whether these changes represent physiological adaptations to endurance exercise or disease-promoting pathology. While the athlete’s heart is considered a benign physiological phenomenon, endurance athletes have an established risk of atrial fibrillation. Therefore, atrial cardiomyopathy represents a significant consideration in disease prognostication and the development of management strategies for athletes. This review examines current literature with respect to the clinical features, causes, and consequences of atrial cardiomyopathy in athletes.","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00032-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679945","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}

引用次数: 0

Artificial intelligence bias in the prediction and detection of cardiovascular disease 人工智能在预测和检测心血管疾病方面的偏差

npj Cardiovascular Health Pub Date : 2024-11-21 DOI: 10.1038/s44325-024-00031-9

Ariana Mihan, Ambarish Pandey, Harriette G. C. Van Spall

引用次数: 0

Pragmatic online obesity treatment in primary care: a hybrid randomized clinical trial of implementation strategies 初级保健中的实用在线肥胖症治疗：实施策略的混合随机临床试验

npj Cardiovascular Health Pub Date : 2024-11-06 DOI: 10.1038/s44325-024-00030-w

Carly M. Goldstein, Emily Panza, Jacqueline F. Hayes, J. Graham Thomas, Kevin O’Leary, Rena R. Wing

{"title":"Pragmatic online obesity treatment in primary care: a hybrid randomized clinical trial of implementation strategies","authors":"Carly M. Goldstein, Emily Panza, Jacqueline F. Hayes, J. Graham Thomas, Kevin O’Leary, Rena R. Wing","doi":"10.1038/s44325-024-00030-w","DOIUrl":"10.1038/s44325-024-00030-w","url":null,"abstract":"Online behavioral weight loss (BWL) in primary care is effective and disseminable. This trial compared two implementation approaches on program uptake, use, and weight loss via a pragmatic hybrid type 2 implementation-effectiveness design to evaluate online BWL implementation (Rx Weight Loss [RxWL]) and effectiveness. This manuscript presents the implementation results. RxWL was implemented across a state-wide network of primary care clinics using lower- and higher-intensity implementation strategies (Basic [base program] and Enhanced [base plus enhanced training and dashboard], respectively) between 2018 and 2022. Nurse care managers (NCMs; N = 23) were recruited and block-randomized to implementation condition. Adult primary care patients (body mass index [BMI] > 25 kg/m2, internet-connected device access) were referred and enrolled by their NCMs. Outcomes were the proportion of eligible patients who enrolled in and completed RxWL by NCM condition, initial weight loss and regain over 12 and 24 months by NCM condition, and clinician acceptability and feasibility. NCMs (N = 12 Enhanced, N = 11 Basic) in Enhanced enrolled more patients (N = 490) than in Basic (N = 164). Although the proportion of patients who completed RxWL and mean weight loss did not differ by condition, different enrollment rates resulted in the Enhanced condition engaging more patients. NCMs rated RxWL as acceptable and feasible with no difference by condition. Findings support connecting primary care patients with technology-based health behavior change programs. Clinical trial registration number: ClinicalTrials.Gov identifier NCT03488212: https://clinicaltrials.gov/ct2/show/NCT03488212 . Trial registration: clinicaltrials.gov Identifier: https://clinicaltrials.gov/study/NCT03488212 .","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00030-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595686","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}

引用次数: 0

Deep learning to predict cardiovascular mortality from aortic disease in heavy smokers 利用深度学习预测重度吸烟者因主动脉疾病导致的心血管疾病死亡率

npj Cardiovascular Health Pub Date : 2024-11-06 DOI: 10.1038/s44325-024-00029-3

Alexander Rau, Lea Michel, Ben Wilhelm, Vineet K. Raghu, Marco Reisert, Matthias Jung, Elias Kellner, Christopher L. Schlett, Hugo J. W. L. Aerts, Michael T. Lu, Fabian Bamberg, Jakob Weiss

{"title":"Deep learning to predict cardiovascular mortality from aortic disease in heavy smokers","authors":"Alexander Rau, Lea Michel, Ben Wilhelm, Vineet K. Raghu, Marco Reisert, Matthias Jung, Elias Kellner, Christopher L. Schlett, Hugo J. W. L. Aerts, Michael T. Lu, Fabian Bamberg, Jakob Weiss","doi":"10.1038/s44325-024-00029-3","DOIUrl":"10.1038/s44325-024-00029-3","url":null,"abstract":"Aortic angiopathy is a common manifestation of cardiovascular disease (CVD) and may serve as a surrogate marker of CVD burden. While the maximum aortic diameter is the primary prognostic measure, the potential of other features to improve risk prediction remains uncertain. This study developed a deep learning framework to automatically quantify thoracic aortic disease features and assessed their prognostic value in predicting CVD mortality among heavy smokers. Using non-contrast chest CTs from the National Lung Screening Trial (NLST), aortic features quantified included maximum diameter, volume, and calcification burden. Among 24,770 participants, 440 CVD deaths occurred over a mean 6.3-year follow-up. Aortic calcifications and volume were independently associated with CVD mortality, even after adjusting for traditional risk factors and coronary artery calcifications. These findings suggest that deep learning-derived aortic features could improve CVD risk prediction in high-risk populations, enabling more personalized prevention strategies.","PeriodicalId":501706,"journal":{"name":"npj Cardiovascular Health","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44325-024-00029-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595692","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}

引用次数: 0

Consistency of HFrEF treatment effect in underrepresented groups in randomized clinical trials 随机临床试验中代表性不足群体的 HFrEF 治疗效果的一致性

npj Cardiovascular Health Pub Date : 2024-11-06 DOI: 10.1038/s44325-024-00028-4

Guillaume Baudry, Luca Monzo, Mark C. Petrie, Nicolas Girerd, Ileana L. Piña, Alexandre Mebazaa, Javed Butler, Leila Abid, Faiez Zannad, Harriette G. C. Van Spall

引用次数: 0