scholarly journals An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases

2021 ◽  
Vol 12 ◽  
Author(s):  
Chenxi Yang ◽  
Foli Fan ◽  
Nicole Aranoff ◽  
Philip Green ◽  
Yuwen Li ◽  
...  

This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the United States, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG, and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure.

Author(s):  
Enoch Agunanne ◽  
Aamer Abbas ◽  
Debabrata Mukherjee

Background: The lifetime risk of developing Heart Failure (HF) is 20% for Americans ≥40 years of age. In the United States, greater than 650,000 new HF cases are diagnosed annually. About 5.1 million persons in the United States have clinically manifest HF. Additionally, HF has high absolute mortality rates of approximately 50% within 5 years of diagnosis. HF carries substantial health and economic burden. It is the primary diagnosis in >1 million hospitalizations annually. Patients hospitalized for HF are at high risk for all-cause re hospitalization. The total cost of HF care in the United States exceeds $30 billion annually. Objective: The study objective was to investigate the prevalence of valvular heart disease among patients hospitalized for HF in a largely Hispanic population. Methods: This is a retrospective study with aims inclusive of: analyzing the hospitalization and 4 months, 6 months, 2 year- re-hospitalization rates of HF in University Medical Center between Oct 2010 and Oct 2013; evaluating the association between valvular heart disease and hospitalizations for HF. Inclusion criteria were: admission/re hospitalizations with HF (with reduced, preserved and borderline EF). Echocardiographic determination of at least moderate valvular disease was utilized in this study as significant. Exclusion criteria were: patients lost to follow-up, death in hospital, transfer to another acute care facility, and discharge against medical advice. Demographics were also collected. Results: Hospitalizations involving 195 patients (120 men and 75 women) were randomly analyzed. The racial spread showed 77.4% (151 of 195) Hispanics and 22.6% (44 of 195) non-Hispanics. Out of the 195 index hospitalizations, the 4 month, 6 months and 2 years rehospitalization visits were 17.4% (34 of 195), 22.5% (44 of 195) and 38.5% (75 of 195) respectively. The prevalence of significant valvular heart disease was 45.9% (90 of 195), while the prevalence of no valvular heart disease was 54.1% (105 of 195) (p < 0.05). Conclusion: Multiple, prior studies have shown that valvular heart diseases have a comparatively low association with clinical Heart Failure. This study raises a valid point that in some population groups (the Hispanic), the burden of valvular heart disease may be greater than has been published in other groups. This calls for more studies, and has lots of potential implications in Heart Failure management.


2013 ◽  
Vol 17 (6) ◽  
pp. 632-648 ◽  
Author(s):  
C. Tobon-Gomez ◽  
M. De Craene ◽  
K. McLeod ◽  
L. Tautz ◽  
W. Shi ◽  
...  

2021 ◽  
Author(s):  
Jürgen Barth ◽  
Jiani Wang ◽  
Jesus Lopez-Alcade ◽  
Christoph Kramm ◽  
Daniel Pach ◽  
...  

BACKGROUND Chronic conditions have a big impact on disability, morbidity, and mortality worldwide. Smartphone health applications (apps) have the potential to improve the health of patients with chronic conditions and to enhance the quality and efficiency of healthcare. The number of randomized controlled trials (RCTs) of smartphone health apps is increasing but a collection of the available evidence in one database is still missing. OBJECTIVE To describe Smartphone-RCCT, which is a database of randomized controlled clinical trials (RCTs) of smartphone apps for chronic conditions. METHODS Smartphone-RCCT is an open-access database collecting bibliographic references and important characteristics of RCTs. For a study to be included, the following criteria had to be met: a) RCT published in a peer-reviewed journal; b) adult study participants with one or several chronic conditions that represent the main health problem addressed by the study intervention. c) Intervention: smartphone health app used by the patient. d) Comparator: any control condition. e) Outcomes: any patient-reported health outcome (studies exclusively measuring the patients’ knowledge about the chronic conditions or their satisfaction with the smartphone app were excluded). f) Sample size: at least 15 participants per study arm. We searched in electronic databases and other resources to identify relevant studies. Two reviewers selected the studies and extracted data independently. RESULTS The database is available in Open Science Framework (OSF): https://osf.io/nxerf/. Annual updates are planned. CONCLUSIONS Smartphone-RCCT is the first systematic open-access database collecting peer-reviewed publications of RCTs of smartphone apps for patients with chronic conditions. The database accelerates the delivery of evidence-based information in a dynamic research field. It represents an essential resource for different stakeholders, such as professionals working in evidence synthesis, meta-epidemiological studies, or planning a RCT. CLINICALTRIAL https://osf.io/nxerf/


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Aymeric Hermann ◽  
Robert Forkel ◽  
Andrew McAlister ◽  
Arden Cruickshank ◽  
Mark Golitko ◽  
...  

2019 ◽  
Vol 45 (10) ◽  
pp. 806-814 ◽  
Author(s):  
Simon Stephan ◽  
Martin T. Horsch ◽  
Jadran Vrabec ◽  
Hans Hasse

Pain ◽  
2014 ◽  
Vol 155 (7) ◽  
pp. 1313-1317 ◽  
Author(s):  
Troels Munch ◽  
Faustine L. Dufka ◽  
Kaitlin Greene ◽  
Shannon M. Smith ◽  
Robert H. Dworkin ◽  
...  

2018 ◽  
Vol 8 (7) ◽  
pp. 1368-1373 ◽  
Author(s):  
Feifei Liu ◽  
Chengyu Liu ◽  
Lina Zhao ◽  
Xiangyu Zhang ◽  
Xiaoling Wu ◽  
...  

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