Cyber-Physical Healthcare System with Blood Test Module on Broadcast Television Network for Remote Cardiovascular Disease (CVD) Management

Author(s):  
Jiuchuan Guo ◽  
Shulin Tian ◽  
Hong Xian ◽  
Lingyun Gao ◽  
Jinhua Xiang ◽  
...  
2021 ◽  
Vol 13 (11) ◽  
pp. 5985
Author(s):  
Bryan Weichelt ◽  
Jeffrey VanWormer ◽  
Yin Xu ◽  
Chris Kadolph ◽  
Simon Lin

Cardiovascular disease (CVD) is a major public health concern in the United States. In response to the federally sponsored Million Hearts Risk Check Challenge, a team of programmers, software developers, health-information technologists, and clinicians in an integrated healthcare system in Wisconsin collaborated to develop Heart Health MobileTM (HHM), designed to improve awareness of cardiovascular disease risk and promote risk factor control among users. This paper outlines the development processes and highlights key lessons learned for mobile health applications. An agile project management methodology was used to dedicate adequate resources and employ adaptive planning and iterative development processes with a self-organized, cross-functional team. The initial HHM iOS app was developed and tested, and after additional modifications, gamified and HTML 5 versions of the app were released. The development of an iOS app is low in cost and sustainable by a healthcare system. Future app modifications to enhance data security and link self-reported cardiovascular risk assessment data to patient medical records may improve performance, patient relevance, and clinician acceptance of HHM in the primary-care setting. Legal and institutional barriers regarding the capture and analyses of protected health information must be mitigated to fully capture, analyze, and report patient health outcomes for future studies.


2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Christopher Fronczek ◽  
Nicholas Piccicacco ◽  
William Braun ◽  
Joanna Caranante ◽  
Jennifer Moeller ◽  
...  

2020 ◽  
Author(s):  
Shasha Yu ◽  
Xiaofan Guo ◽  
GuangXiao Li ◽  
Hongmei Yang ◽  
Liqiang Zheng ◽  
...  

Abstract Background Metabolic healthy obesity (MHO), as one phenotype of obesity, seems associate with lower risk of cardiovascular disease. However, MHO has close relationship with higher incidence of metabolic syndrome and diabetes. This study aims to investigate the prevalence of MHO at baseline, changes of obese metabolic phenotype at follow-up and its relationship with incidence of mildly reduced estimated glomerular filtration rate (eGFR) in rural Northeast Chinese. Methods The Chronic Kidney Disease Epidemiology (CKD-EPI) equation was used to calculate eGFR. 4903 participants aged ≥ 35 years with eGFR > 90 ml/min/1.73 m2 at baseline were enrolled and successfully followed up. All participants completed the questionnaires, anthropometric measurements, and blood test during baseline and follow-up. Mild renal dysfunction defined as mildly reduced eGFR between 60–90 ml/min/1.73 m2. Results The prevalence of MHO was 20.04% in baseline (18.97% for women and 21.11% for men) which was secondary to metabolic abnormal obesity (MAO) (24.4%, 27.2% for women and 21.5% for men). 38.4% of women and 38.90% of men experienced phenotype changes during follow-up. The cumulative incidence of mildly reduced eGFR in MHO was 20.1% (17.7% for women and 22.3% for men) which was also secondary to MAO (20.8%, 18.6% for women and 23.5% for men). After adjusted possible confounders, MHO was associated with higher incidence of mildly reduced eGFR among women [OR (95%CI) = 1.64 (1.18, 2.25)] and men [OR (95%CI) = 1.62 (1.24, 2.11)] whereas MAO was related with higher incidence of mildly reduced eGFR among men only [OR (95%CI) = 1.74 (1.32, 2.29)]. Conclusion MHO was associated with higher incidence of mildly reduced eGFR in both gender; however, there was a specific relationship between MAO and mildly reduced eGFR in men only. Therefore, it is necessary to monitoring kidney function among both MHO and MAO subjects.


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