1,522 research outputs found

    Use of m-Health Technology for Preventive Interventions to Tackle Cardiometabolic Conditions and Other Non-Communicable Diseases in Latin America- Challenges and Opportunities

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    In Latin America, cardiovascular disease (CVD) mortality rates will increase by an estimated 145% from 1990 to 2020. Several challenges related to social strains, inadequate public health infrastructure, and underfinanced healthcare systems make cardiometabolic conditions and non-communicable diseases (NCDs) difficult to prevent and control. On the other hand, the region has high mobile phone coverage, making mobile health (mHealth) particularly attractive to complement and improve strategies toward prevention and control of these conditions in low- and middle-income countries. In this article, we describe the experiences of three Centers of Excellence for prevention and control of NCDs sponsored by the National Heart, Lung, and Blood Institute with mHealth interventions to address cardiometabolic conditions and other NCDs in Argentina, Guatemala, and Peru. The nine studies described involved the design and implementation of complex interventions targeting providers, patients and the public. The rationale, design of the interventions, and evaluation of processes and outcomes of each of these studies are described, together with barriers and enabling factors associated with their implementation.Fil: Beratarrechea, Andrea Gabriela. Instituto de Efectividad ClĂ­nica y Sanitaria; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Diez Canseco, Francisco. Universidad Peruana Cayetano Heredia; PerĂșFil: Irazola, Vilma. Instituto de Efectividad ClĂ­nica y Sanitaria; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Miranda, Jaime. Universidad Peruana Cayetano Heredia; PerĂșFil: Ramirez Zea, Manuel. Institute of Nutrition of Central America and Panama; GuatemalaFil: Rubinstein, Adolfo Luis. Instituto de Efectividad ClĂ­nica y Sanitaria; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentin

    Med-e-Tel 2017

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    The management of acute venous thromboembolism in clinical practice. Results from the European PREFER in VTE Registry

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    Venous thromboembolism (VTE) is a significant cause of morbidity and mortality in Europe. Data from real-world registries are necessary, as clinical trials do not represent the full spectrum of VTE patients seen in clinical practice. We aimed to document the epidemiology, management and outcomes of VTE using data from a large, observational database. PREFER in VTE was an international, non-interventional disease registry conducted between January 2013 and July 2015 in primary and secondary care across seven European countries. Consecutive patients with acute VTE were documented and followed up over 12 months. PREFER in VTE included 3,455 patients with a mean age of 60.8 ± 17.0 years. Overall, 53.0 % were male. The majority of patients were assessed in the hospital setting as inpatients or outpatients (78.5 %). The diagnosis was deep-vein thrombosis (DVT) in 59.5 % and pulmonary embolism (PE) in 40.5 %. The most common comorbidities were the various types of cardiovascular disease (excluding hypertension; 45.5 %), hypertension (42.3 %) and dyslipidaemia (21.1 %). Following the index VTE, a large proportion of patients received initial therapy with heparin (73.2 %), almost half received a vitamin K antagonist (48.7 %) and nearly a quarter received a DOAC (24.5 %). Almost a quarter of all presentations were for recurrent VTE, with >80 % of previous episodes having occurred more than 12 months prior to baseline. In conclusion, PREFER in VTE has provided contemporary insights into VTE patients and their real-world management, including their baseline characteristics, risk factors, disease history, symptoms and signs, initial therapy and outcomes

    Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review

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    The prevalence of cardiovascular diseases is increasing around the world. However, the technology is evolving and can be monitored with low-cost sensors anywhere at any time. This subject is being researched, and different methods can automatically identify these diseases, helping patients and healthcare professionals with the treatments. This paper presents a systematic review of disease identification, classification, and recognition with ECG sensors. The review was focused on studies published between 2017 and 2022 in different scientific databases, including PubMed Central, Springer, Elsevier, Multidisciplinary Digital Publishing Institute (MDPI), IEEE Xplore, and Frontiers. It results in the quantitative and qualitative analysis of 103 scientific papers. The study demonstrated that different datasets are available online with data related to various diseases. Several ML/DP-based models were identified in the research, where Convolutional Neural Network and Support Vector Machine were the most applied algorithms. This review can allow us to identify the techniques that can be used in a system that promotes the patient’s autonomy.N/

    The Application of Computer Techniques to ECG Interpretation

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    This book presents some of the latest available information on automated ECG analysis written by many of the leading researchers in the field. It contains a historical introduction, an outline of the latest international standards for signal processing and communications and then an exciting variety of studies on electrophysiological modelling, ECG Imaging, artificial intelligence applied to resting and ambulatory ECGs, body surface mapping, big data in ECG based prediction, enhanced reliability of patient monitoring, and atrial abnormalities on the ECG. It provides an extremely valuable contribution to the field

    It\u27s my iPad! Protecting Critical Data on Personal Mobile Devices in the Medical Setting

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    The pervasiveness of mobile devices has forced many organizations to support connectivity of corporate and private devices. Corporate devices are highly configurable regarding authentication, encryption, and remote wiping. BlackBerry devices can be fully deployed and managed using a centralized Blackberry Enterprise Server, however when a user owned device connects to enterprise servers, data security becomes a concern. Introduce a litany of complex legislative rulings and laws concerning protected data across various business domains and now personal mobile devices become security risks. This paper will discuss current issues in securing personal mobile devices in the healthcare environment and present possible solutions

    Creating a multivariable model to predict primary graft dysfunction after heart transplantation in the United Kingdom using the 2014 International Society of Heart and Lung Transplantation consensus definition

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    Heart failure places a global strain on healthcare provision. It has an increasing incidence and represents the endpoint of a variety of cardiovascular diseases. The preceding decades have carved out a clear management algorithm for the use of pharmacotherapies (neurohormonal antagonists), device-based therapies (Implantable Cardioverting Defibrillator (ICD) and Cardiac Resynchronisation Therapy (CRT)) and mechanical therapies including left ventricular assist devices and heart transplantation. While heart transplantation remains the gold standard for the suitable few, the advancement of healthcare systems and improved working conditions and safety regulations have changed the demographics of the typical organ donor which traditionally were young brainstem death donors (DBD) with minimal other comorbidities. Nevertheless, transplantation confers a substantial survival benefit for selected patients with advanced heart failure, achieving a 1-year survival rate of ≄80%. The primary cause for early mortality in recipients remains primary graft dysfunction (PGD). The incidence of PGD throughout the UK and the world are variable due to the lack of a standardised definition until 2014. My research explored the true incidence of PGD throughout the UK using data collected from each of the 6 transplant centres alongside the National Health Service Blood and Transplant database. I then looked at risk factors for PGD which culminated in the largest PGD study recorded at the time of writing. I also looked into the role of mechanical circulatory support to bridge patients in cardiogenic shock post-myocardial infarction in Scotland. I finally developed 2 scoring systems, 1 for Primary Graft Dysfunction (PREDICTA) and 1 using the modified Delphi Method of a consensus agreement (GTS) to factor in elements of frailty which had been garnering increasing interest at conferences I had attended
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