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Journal articles on the topic 'Regular Symptom Tracking'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Barbieri, Giulia, Massimo Pizzato, Martin Gögele, et al. "Trends and symptoms of SARS-CoV-2 infection: a longitudinal study on an Alpine population representative sample." BMJ Open 13, no. 6 (2023): e072650. http://dx.doi.org/10.1136/bmjopen-2023-072650.

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ObjectivesThe continuous monitoring of SARS-CoV-2 infection waves and the emergence of novel pathogens pose a challenge for effective public health surveillance strategies based on diagnostics. Longitudinal population representative studies on incident events and symptoms of SARS-CoV-2 infection are scarce. We aimed at describing the evolution of the COVID-19 pandemic during 2020 and 2021 through regular monitoring of self-reported symptoms in an Alpine community sample.DesignTo this purpose, we designed a longitudinal population representative study, the Cooperative Health Research in South T

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Greshake Tzovaras, Bastian, Enric Senabre Hidalgo, Karolina Alexiou, et al. "Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study." Journal of Medical Internet Research 23, no. 9 (2021): e28116. http://dx.doi.org/10.2196/28116.

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Background Wearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices. Objective This study aims to explore how a cocreation process involving a heterogeneous community of personal science

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Janvrin, Miranda Lynn, Jessica Korona-Bailey, and Tracey Pérez Koehlmoos. "Re-examining COVID-19 Self-Reported Symptom Tracking Programs in the United States: Updated Framework Synthesis." JMIR Formative Research 5, no. 12 (2021): e31271. http://dx.doi.org/10.2196/31271.

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Background Early in the pandemic, in 2020, Koehlmoos et al completed a framework synthesis of currently available self-reported symptom tracking programs for COVID-19. This framework described relevant programs, partners and affiliates, funding, responses, platform, and intended audience, among other considerations. Objective This study seeks to update the existing framework with the aim of identifying developments in the landscape and highlighting how programs have adapted to changes in pandemic response. Methods Our team developed a framework to collate information on current COVID-19 self-r

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Chen, Yao, Yuehua Zhang, Qianlian Zheng, and Lei Sun. "Lived experiences and insights of Chinese patients with symptomatic osteoporosis on a patient-reported outcome (PRO) programme: a qualitative phenomenological study in Southwest China." BMJ Open 15, no. 4 (2025): e087480. https://doi.org/10.1136/bmjopen-2024-087480.

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ObjectivesTo explore the lived experiences of patients with symptomatic osteoporosis on a patient-reported outcomes (PROs) programme for symptom management and quality of life (QoL) improvement.DesignThis is a qualitative phenomenological study.SettingParticipants14 active participants in the PROs programme were recruited and interviewed through semi-structured face-to-face interviews. Colaizzi’s seven-step method was employed for thematic analysis.ResultsFour overarching themes and two sub-themes emerged, including (1) varied perceptions of the PROs programme, where some participants found it

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Ankit, Baghel. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health (IJPMH) 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.D1071.05040525.

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<strong>Abstract: </strong>This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes, as well as exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and

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Ankit, Baghel. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health (IJPMH) 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.D1071.05040525/.

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<strong>Abstract:</strong> This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providi

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Zhang, Connie, Amanda Healey, Hiba Anwar, and Nell Meosky Luo. "Exploring Factors Linked to Home-Reported Acute Pain Events and Pain Crises in Sickle Cell Disease (SCD) through Flare Tracking in the Ascend Study." Blood 142, Supplement 1 (2023): 2372. http://dx.doi.org/10.1182/blood-2023-189198.

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Introduction: Pain is a prominent symptom in sickle cell disease (SCD) and often broadly categorized as persistent chronic pain or more intense acute pain episodes compared to regular chronic pain experiences. Many research studies focus solely on pain events requiring healthcare utilization, neglecting those experienced at home, which may cloud the understanding of an individual's daily experience in managing their symptoms. Capturing home-reported evidence is crucial for comprehending SCD's impact on patients and potential effects of medical interventions. Objective: The objective of the Asc

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Gandrup, Julie, Syed Mustafa Ali, John McBeth, Sabine N. van der Veer, and William G. Dixon. "Remote symptom monitoring integrated into electronic health records: A systematic review." Journal of the American Medical Informatics Association 27, no. 11 (2020): 1752–63. http://dx.doi.org/10.1093/jamia/ocaa177.

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Abstract Objective People with long-term conditions require serial clinical assessments. Digital patient-reported symptoms collected between visits can inform these, especially if integrated into electronic health records (EHRs) and clinical workflows. This systematic review identified and summarized EHR-integrated systems to remotely collect patient-reported symptoms and examined their anticipated and realized benefits in long-term conditions. Materials and Methods We searched Medline, Web of Science, and Embase. Inclusion criteria were symptom reporting systems in adults with long-term condi

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Mountford, Steffeni, Maria Kahn, Preetha Balakrishnan, et al. "Correlation and differences of patient-reported outcomes vs. Likert-Rating of MS symptoms in a real-world cohort using a digital patient app." DIGITAL HEALTH 9 (January 2023): 205520762311735. http://dx.doi.org/10.1177/20552076231173520.

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Background Multiple Sclerosis (MS) is a chronic and progressive neurological autoimmune disease currently affecting 250,000 individuals in Germany. Patients suffering from the disease can be severely impaired in their day-to-day activities. BRISA is a digital app specifically designed to help MS patients monitor their disease by regularly tracking symptoms. Lengthy and time-consuming questionnaires for patient-reported outcomes (PRO) are the standard method to assess the patients’ current condition. Here, we examine whether simplified versions of these questionnaires can provide comparable inf

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Matias, Pedro, Sílvia Rêgo, Francisco Nunes, et al. "Self-Monitoring Practices and Use of Self-Monitoring Technologies by People with Rheumatic and Musculoskeletal Diseases: An International Survey Study." Healthcare 12, no. 19 (2024): 1960. http://dx.doi.org/10.3390/healthcare12191960.

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Background/Objectives: Digital health applications (DHAs) promise to improve disease self-management, but adherence remains suboptimal. We aimed to explore self-monitoring practices of rheumatic and musculoskeletal diseases (RMD) patients. A web-survey was conducted over 7 months including RMD patients to study their self-monitoring practices and the potential of DHAs. Methods: Health, sociodemographic, and technology adherence indicators were retrieved for comparison. Regression analyses and unsupervised profiling were performed to investigate multiple patient profiles. Results: From 228 resp

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Baghel, Ankit, Akansha Pawar, Janvi Hatwar, Devansh Shrivastav, and Dr Shruti Thakur. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.d1071.05040525.

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This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providing coping strategies, empha

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Bangerter, Abigail, Nikolay V. Manyakov, David Lewin, et al. "Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps." JMIR Mental Health 6, no. 3 (2019): e11365. http://dx.doi.org/10.2196/11365.

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Background Currently, no medications are approved to treat core symptoms of autism spectrum disorder (ASD). One barrier to ASD medication development is the lack of validated outcome measures able to detect symptom change. Current ASD interventions are often evaluated using retrospective caregiver reports that describe general clinical presentation but often require recall of specific behaviors weeks after they occur, potentially reducing accuracy of the ratings. My JAKE, a mobile and Web-based mobile health (mHealth) app that is part of the Janssen Autism Knowledge Engine—a dynamically update

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Morse, Robert S., Kaley Lambden, Erin Quinn, et al. "A Mobile App to Improve Symptom Control and Information Exchange Among Specialists and Local Health Workers Treating Tanzanian Cancer Patients: Human-Centered Design Approach." JMIR Cancer 7, no. 1 (2021): e24062. http://dx.doi.org/10.2196/24062.

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Background Improving access to end-of-life symptom control interventions among cancer patients is a public health priority in Tanzania, and innovative community-based solutions are needed. Mobile health technology holds promise; however, existing resources are limited, and outpatient access to palliative care specialists is poor. A mobile platform that extends palliative care specialist access via shared care with community-based local health workers (LHWs) and provides remote support for pain and other symptom management can address this care gap. Objective The aim of this study is to design

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Palacholla, Ramya sita, Ali Soltani, Josep A. Pous, Monika Dutkiewicz-piasecka, Debra Carter, and Elisabeth Piault-Louis. "Abstract 3663: A digital health solution for monitoring skin toxicities in cancer treatment." Cancer Research 85, no. 8_Supplement_1 (2025): 3663. https://doi.org/10.1158/1538-7445.am2025-3663.

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Abstract Introduction: Skin toxicities such as maculo-papular rash, xerosis, or pruritis, can hinder the optimal dosing of immunotherapy, chemotherapy, and targeted therapies1-4. Their management is primarily palliative and prompted by patients’ report of skin symptoms or impact on their activities of daily living (ADL). A digital product for the collection, transfer and visualization of data relevant to skin toxicities could contribute to early identification and palliative management and ultimately decreased morbidity for patients between clinic visits. Methods: A review of the published lit

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Pratap, Abhishek, Daniel Grant, Ashok Vegesna, et al. "Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study." JMIR mHealth and uHealth 8, no. 10 (2020): e22108. http://dx.doi.org/10.2196/22108.

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Background Multiple sclerosis (MS) is a chronic neurodegenerative disease. Current monitoring practices predominantly rely on brief and infrequent assessments, which may not be representative of the real-world patient experience. Smartphone technology provides an opportunity to assess people’s daily-lived experience of MS on a frequent, regular basis outside of episodic clinical evaluations. Objective The objectives of this study were to evaluate the feasibility and utility of capturing real-world MS-related health data remotely using a smartphone app, “elevateMS,” to investigate the associati

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Reynen, Emily A., Julie Grabell, and Paula D. James. "Let's Talk Period: Preliminary Results of an Online Bleeding Awareness Knowledge Translation Project and Bleeding Assessment Tool Promoted on Social Media." Blood 128, no. 22 (2016): 3775. http://dx.doi.org/10.1182/blood.v128.22.3775.3775.

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Abstract Background: Undiagnosed bleeding disorders can pose significant health risks, especially for women. As many as 1 in 1000 individuals have a bleeding disorder, many of whom are undiagnosed. Lack of understanding about the difference between normal and abnormal bleeding, particularly menstrual bleeding, is a barrier to diagnosis. Recently, a self-administered bleeding assessment tool (Self-BAT) was validated as a screening tool for von Willebrand disease (VWD). Objective: Our objective was to increase awareness of undiagnosed bleeding disorders through the use of an informational websit

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Tonn, Peter, Yoav Degani, Shani Hershko, Amit Klein, Lea Seule, and Nina Schulze. "Development of a Digital Content-Free Speech Analysis Tool for the Measurement of Mental Health and Follow-Up for Mental Disorders: Protocol for a Case-Control Study." JMIR Research Protocols 9, no. 5 (2020): e13852. http://dx.doi.org/10.2196/13852.

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Background The prevalence of mental disorders worldwide is very high. The guideline-oriented care of patients depends on early diagnosis and regular and valid evaluation of their treatment to be able to quickly intervene should the patient’s mental health deteriorate. To ensure effective treatment, the level of experience of the physician or therapist is of importance, both in the initial diagnosis and in the treatment of mental illnesses. Nevertheless, experienced physicians and psychotherapists are not available in enough numbers everywhere, especially in rural areas or in less developed cou

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Lee, JuHee, Yujin Suh, and Yielin Kim. "A mobile app for tracking non-motor symptoms of people with Parkinson’s disease: A usability study." Innovation in Aging 4, Supplement_1 (2020): 890. http://dx.doi.org/10.1093/geroni/igaa057.3284.

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Abstract Smart phone-based technology for people with Parkinson’s disease has been developed worldwide. Unmonitored non-motor symptoms decrease quality of life of people with Parkinson’s disease, so the needs for technology to manage non-motor symptoms are increasing. The technology is needed to detect subtle changes in non-motor symptoms by healthcare professional. There is no mobile app which manage comprehensive symptoms of Parkinson’s disease including non-motor symptoms. It is necessary to develop a new tracking system that can effectively manage non-motor symptoms as well as motor sympto

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Aida Yasmin Zainal Abidin and Tajul Rosli Razak. "Forecasting of Menstruation using a Calendar-based Method based on a Web Application." Applied Mathematics and Computational Intelligence (AMCI) 13, no. 4 (2024): 103–12. http://dx.doi.org/10.58915/amci.v13i4.1485.

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Accurately predicting menstrual dates is valuable for women, yet it poses a significant challenge, particularly for those with irregular cycles. This study introduces a web application that utilises a calendar-based method to predict upcoming menstrual dates while offering additional features such as tracking past periods, logging symptoms, and providing personalised health advice. Using the software development life cycle approach, the critical contribution of this work is the development of a user-friendly tool that not only aids in menstrual tracking but also highlights the limitations of c

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Jones, C. Jessie, Carter Rakovski, Dana Rutledge, and Angela Gutierrez. "A Comparison of Women With Fibromyalgia Syndrome to Criterion Fitness Standards: A Pilot Study." Journal of Aging and Physical Activity 23, no. 1 (2015): 103–11. http://dx.doi.org/10.1123/japa.2013-0159.

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Purpose:To compare fitness of women with fibromyalgia syndrome (FMS) aged 50+ with performance standards associated with functional independence in late life.Methods:Data came from a longitudinal study tracking physical and cognitive function of 93 women with FMS and included the most recent symptoms, activity levels, and fitness assessments.Results:Most women performed below criterion-referenced fitness standards for all measures. Nearly 90% percent of those < 70 years scored below the standard for lower body strength. Only ~20% of respondents < 70 years old met the criteria for aerobic

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M.S., Josephine, Lakshmanan L., Resmi R. Nair, Visu P., Ganesan R., and R. Jothikumar. "Monitoring and sensing COVID-19 symptoms as a precaution using electronic wearable devices." International Journal of Pervasive Computing and Communications 16, no. 4 (2020): 341–50. http://dx.doi.org/10.1108/ijpcc-06-2020-0067.

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Purpose The purpose fo this paper is to Monitor and sense the sysmptoms of COVID-19 as a preliminary measure using electronic wearable devices. This variability is sensed by electrocardiograms observed from a multi-parameter monitor and electronic wearable. This field of interest has evolved into a wide area of investigation with today’s advancement in technology of internet of things for immediate sensing and processing information about profound pain. A window span is estimated and reports of profound pain data are used for monitoring heart rate variability (HRV). A median heart rate is cons

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Vettese, Lisa Christine, Tony Toneatto, Jonathan N. Stea, Linda Nguyen, and Jenny Jing Wang. "Do Mindfulness Meditation Participants Do Their Homework? And Does It Make a Difference? A Review of the Empirical Evidence." Journal of Cognitive Psychotherapy 23, no. 3 (2009): 198–225. http://dx.doi.org/10.1891/0889-8391.23.3.198.

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Mindfulness-based interventions have been shown to alleviate symptoms of a wide range of physical and mental health conditions. Regular between-session practice of mindfulness meditation is among the key factors proposed to produce the therapeutic benefits of mindfulness-based programs. This article reviews the mindfulness intervention literature with a focus on the status of home practice research and the relationship of practice to mindfulness program outcomes. Of 98 studies reviewed, nearly one-quarter (N = 24) evaluated the associations between home practice and measures of clinical functi

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Lin, Chia-Chin, and Wen-Pei Chang. "Changes in the sleep-wake rhythm, sleep quality, mood, and quality of life of patients receiving treatment for lung cancer: A longitudinal study." Journal of Clinical Oncology 35, no. 15_suppl (2017): e21657-e21657. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e21657.

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e21657 Background: Studies on the diurnal sleep–wake rhythm of patients with lung cancer have mostly examined patients cross-sectionally, whereas the effects of lung cancer treatment over time have rarely been considered. Through long-term longitudinal tracking of patients with lung cancer, this study examined changes in their sleep–wake rhythm, sleep quality, anxiety, depressive symptoms, fatigue, and quality of life (QoL) at various treatment stages. In addition, factors affecting their QoL were explored. Methods: Hierarchical linear modelling was adopted to analyze a convenience sample of 8

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Nowell, William Benjamin, Jeffrey R. Curtis, Sandra K. Nolot, et al. "Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study." JMIR Research Protocols 8, no. 9 (2019): e14665. http://dx.doi.org/10.2196/14665.

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Background Rheumatoid arthritis (RA) is a condition with symptoms that vary over time. The typical 3- to 6-month interval between physician visits may lead to patients failing to recall or underreporting symptoms experienced during the interim. Wearable digital technology enables the regular passive collection of patients’ biometric and activity data. If it is shown to be strongly related to data captured by patient-reported outcome (PRO) measures, information collected passively from wearable digital technology could serve as an objective proxy or be complementary to patients’ subjective expe

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Abdulghafor, Rawad, Abdelrahman Abdelmohsen, Sherzod Turaev, Mohammed A. H. Ali, and Sharyar Wani. "An Analysis of Body Language of Patients Using Artificial Intelligence." Healthcare 10, no. 12 (2022): 2504. http://dx.doi.org/10.3390/healthcare10122504.

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In recent decades, epidemic and pandemic illnesses have grown prevalent and are a regular source of concern throughout the world. The extent to which the globe has been affected by the COVID-19 epidemic is well documented. Smart technology is now widely used in medical applications, with the automated detection of status and feelings becoming a significant study area. As a result, a variety of studies have begun to focus on the automated detection of symptoms in individuals infected with a pandemic or epidemic disease by studying their body language. The recognition and interpretation of arm a

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Williams, Austin M., Daniel J. Phaneuf, Meredith A. Barrett, and Jason G. Su. "Short-term impact of PM2.5on contemporaneous asthma medication use: Behavior and the value of pollution reductions." Proceedings of the National Academy of Sciences 116, no. 12 (2018): 5246–53. http://dx.doi.org/10.1073/pnas.1805647115.

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Asthma ranks among the most costly of chronic diseases, accounting for over $50 billion annually in direct medical expenditures in the United States. At the same time, evidence has accumulated that fine particulate matter pollution can exacerbate asthma symptoms and generate substantial economic costs. To measure these costs, we use a unique nationwide panel dataset tracking asthmatic individuals’ use of rescue medication and their exposure to PM2.5(particulate matter with an aerodynamic diameter of <2.5 μm) concentration between 2012 and 2017, to estimate the causal relationship between po

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Chernbumroong, Suepphong, Pradorn Sureephong, Pakinee Ariya, and Kitti Puritat. "Design and development of a mobile application for emergency medical assistance for running-related injuries in a marathon event." International Journal of ADVANCED AND APPLIED SCIENCES 10, no. 10 (2023): 146–54. http://dx.doi.org/10.21833/ijaas.2023.10.017.

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This research was dedicated to the creation and refinement of a mobile application, specifically crafted for providing Emergency Medical Assistance at marathon events in Thailand. As the popularity of marathons surges, propelled by a growing health consciousness and a rising trend in regular exercise among Thais, the demand for efficient medical support in these settings has intensified. This study explored the necessity of instant access to runners' medical data to facilitate clinical decision-making and potential hospital admissions for specific symptoms. Key aspects investigated included es

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Arya, Rakesh, A. K. M. Ariful Haque, Hemlata Shakya, et al. "Parkinson’s Disease: Biomarkers for Diagnosis and Disease Progression." International Journal of Molecular Sciences 25, no. 22 (2024): 12379. http://dx.doi.org/10.3390/ijms252212379.

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Parkinson’s disease (PD) is a progressive neurological disease that causes both motor and nonmotor symptoms. While our understanding of putative mechanisms has advanced significantly, it remains challenging to verify biomarkers with sufficient evidence for regular clinical use. Clinical symptoms are the primary basis for diagnosing the disease, which can be mild in the early stages and overlap with other neurological disorders. As a result, clinical testing and medical records are mostly relied upon for diagnosis, posing substantial challenges during both the initial diagnosis and the continuo

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Kanade, Prakash, Monis Akhtar, and Fortune David. "Remote Monitoring Technology for COVID-19 Patients." European Journal of Electrical Engineering and Computer Science 5, no. 1 (2021): 44–47. http://dx.doi.org/10.24018/ejece.2021.5.1.273.

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Human beings have adapted to a new way of life, from an open society to a closed world. Covid19 has brought many changes to the way people live, social distance and minimal to no contact are our goals. This could have been impossible if we were not surrounded by technology. This Perspective offers a context for the implementation of Remote Technologies, demonstrating the forms in which pandemic preparation, monitoring, research, tracking, and Health Care Technologies are effectively implemented. Our research is focused on providing a solution for handling patients at health facilities with the

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Somantri, Somantri, Anggun Fergina, and Yosep Maulana. "Rancang Bangun Aplikasi Pemantauan Detak Jantung dan Pelacakan Lokasi bagi Penderita Lemah Jantung Berbasis IoT dan Android." Jurnal Teknologi Sistem Informasi dan Aplikasi 6, no. 3 (2023): 343–56. http://dx.doi.org/10.32493/jtsi.v6i3.30525.

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Weak heart is a medical condition that reduces the heart's ability to heat blood throughout the body with optimal efficiency. People with weak heart need regular monitoring regarding their heart condition. Under normal conditions, they should measure the heart rate regularly otherwise a weak heart can lead to serious complications such as acute heart failure or arrhythmias. By using the application, people with heart failure can monitor early signs and symptoms that might indicate complications. The data collected by the application can assist in detecting early changes that are potentially ha

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Usman, Shaheryar, Muhammad Cheema, and Zoha Ghuman. "Ocrelizumab-induced organizing pneumonia in multiple sclerosis: case report and literature review." Archive of Clinical Cases 11, no. 2 (2024): 69–72. http://dx.doi.org/10.22551/2024.43.1102.10291.

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Patients with relapsing-remitting multiple sclerosis should be offered disease-modifying therapies as part of their management. Recommended options include integrin antagonist therapy including natalizumab as well as anti-CD20 monoclonal antibodies like, ocrelizumab, rituximab, ofatumumab, ublituximab. These therapies reduce relapse rates and slow brain lesion accumulation. Disease-modifying therapies selection may depend on patient preferences, potential fetal harm, and specific drug risks, requiring continuous monitoring via tracking clinical relapses and new MRI brain lesions. Natalizumab c

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Ferrua, Marie, FATIMA YATIM, Aude Fourcade, Marilène Guillet Lacaze, Etienne Minvielle, and Olivier Mir. "Patient experience of an intervention combining nurse navigators and e-Health technologies for use of oral anticancer agents." Journal of Clinical Oncology 37, no. 15_suppl (2019): e23149-e23149. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e23149.

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e23149 Background: An intervention (named CAPRI) combining Nurse Navigators (NN) and a mobile application dedicated to patients treated with oral anticancer agents was implemented in 2016 at Gustave Roussy (Villejuif, France). NN provide regular telephone follow-ups to manage patients' symptoms and assess toxicities, adherence to treatment and supportive care needs. Patients can have access to a mobile application to record tracking data, contact NN via secure messaging, view therapy and side effect information or store documents. Methods: A questionnaire was addressed to patients after using

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Dr. C Kiranmai, B Srivalli, CH Komali, G Apurva, and B. Sneha Yesshaswi. "Visual Fall Detection Analysis Through Computer Vision and Deep Learning – Technology Proposition." International Journal of Recent Technology and Engineering (IJRTE) 13, no. 1 (2024): 1–4. http://dx.doi.org/10.35940/ijrte.a8029.13010524.

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Advances in modern medicine has increased humans’ life span. Orderly adults face mobility problems while aging. They feel less fit to continue any activity for short intervals too. This is due to declining fitness levels or muscle strength, diminished dexterity, and loss of balance. These symptoms lead to the fall of the individual and sometimes fatal too, if immediately not attended to. It’s an alarming issue for people staying alone. They may pose significant health risks and need immediate assistance. Fall detection technologies are majorly categorised as wearable sensors and ambient sensor

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B, Srivalli. "Visual Fall Detection Analysis Through Computer Vision and Deep Learning – Technology Proposition." International Journal of Recent Technology and Engineering (IJRTE) 13, no. 1 (2024): 1–4. https://doi.org/10.35940/ijrte.A8029.13010524.

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<strong>Abstract</strong> – Advances in modern medicine has increased humans’ life span. Olderly adults face mobility problems while aging. They feel less fit to continue any activity for short intervals too. This is due to declining fitness levels or muscle strength, diminished dexterity, and loss of balance. These symptoms lead to the fall of the individual and sometimes fatal too, if immediately not attended to. It’s an alarming issue for people staying alone. They may pose significant health risks and need immediate assistance. Fall detection technologies are majorly cate

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Mir, Olivier, Marie Ferrua, Aude Fourcade, et al. "Intervention combining nurse navigators (NNs) and a mobile application versus standard of care (SOC) in cancer patients (pts) treated with oral anticancer agents (OAA): Results of CapRI, a single-center, randomized phase III trial." Journal of Clinical Oncology 38, no. 15_suppl (2020): 2000. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.2000.

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2000 Background: Various interventions aiming to improve a safe use of oral anti-cancer agents have previously been reported. These retrospective studies involved nurse-led follow-up and use of health technologies. However, the potential impact of these combined strategies is limited by a lack of rigorous methodology. Methods: We performed a randomized phase 3 trial comparing an intervention combining NNs and a mobile application vs. SOC in cancer pts treated with OAA (excluding hormonal therapy) in our tertiary cancer center. Pts initiating OAA (all types of cancer, PS < 3, life expectancy

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Abdulbaki, Arif, Jörn Kaufmann, Imke Galazky, Lars Buentjen, and Jürgen Voges. "Neuromodulation of the subthalamic nucleus in Parkinson’s disease: the effect of fiber tract stimulation on tremor control." Acta Neurochirurgica 163, no. 1 (2020): 185–95. http://dx.doi.org/10.1007/s00701-020-04495-3.

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Abstract Background Therapeutic effects of deep brain stimulation (DBS) of the subthalamic nucleus (STN) in Parkinson’s disease (PD) may in parts be attributed to the stimulation of white matter near the targeted structure. The dentato-rubro-thalamic (DRT) tract supposed to improve tremor control in patients with essential tremor could be one candidate structure. The aim of this study was to investigate the effect of stimulation proximity to the DRT on tremor control in PD patients treated with STN-DBS. Methods For this retrospective analysis, we included 36 consecutive patients (median age 65

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Jonathan, Geneva K., Cynthia A. Dopke, Tania Michaels, et al. "A Smartphone-Based Self-management Intervention for Bipolar Disorder (LiveWell): User-Centered Development Approach." JMIR Mental Health 8, no. 4 (2021): e20424. http://dx.doi.org/10.2196/20424.

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Background Bipolar disorder is a serious mental illness that results in significant morbidity and mortality. Pharmacotherapy is the primary treatment for bipolar disorder; however, adjunctive psychotherapy can help individuals use self-management strategies to improve outcomes. Yet access to this therapy is limited. Smartphones and other technologies have the potential to increase access to therapeutic strategies that enhance self-management while simultaneously providing real-time user feedback and provider alerts to augment care. Objective This paper describes the user-centered development o

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Mukhopadhaya, John, Arvind Gupta, Amit K. Sinha, and Janki S. Bhadani. "Chronic patellofemoral instability and pain treated effectively by anteromedial tibial tubercle transfer (Fulkerson osteotomy) with or without medial patellofemoral ligament reconstruction." International Journal of Research in Orthopaedics 7, no. 5 (2021): 1026. http://dx.doi.org/10.18203/issn.2455-4510.intjresorthop20213163.

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<p><strong>Background</strong>-Chronic patellar instability (subluxation and dislocation) and pain is a debilitating knee condition that frequently involves young, active patients. Bony malalignment and soft tissue injury (torn or stretched MPFL) is considered as a surgical indication for distal realignment in the form of Anteromedial tibial tubercle transfer(Fulkerson osteotomy) with or without MPFL reconstruction that effectively prevents the patella from tracking laterally and thus unloads the lateral patella while making the patellofemoral joint more congruous , stable an

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I., A. Skoryatina, and Yu Zavalishina S. "Impact of Experimental Development of Arterial Hypertension and Dyslipidemia on Intravascular Activity of Rats' Platelets." Annual Research & Review in Biology 14, no. 5 (2017): 1–9. https://doi.org/10.9734/ARRB/2017/33758.

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Great interest is shown by researchers to functional and rheological features of basic regular blood elements. Platelets are among them and take the most active part in hemostasis at rather wide-spread nowadays cardio-vascular and metabolic diseases. The aim is to analyze dynamics’ strengthening of platelets' intravascular activity of rats in conditions of experimental consequent development of arterial hypertension and dyslipidemia. The study used 68 male-rats of Vistar line at the age of 2.5-3 months. Control group was composed of 33 animals. Experimental animals (35 rats) were developed at

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Brassil, Kelly J., Alexi Wright, Elizabeth Arthur, et al. "Abstract 742: Trial in progress: Comprehensive outcomes for after cancer health (COACH), a randomized trial assessing health outcomes following primary cancer therapy." Cancer Research 83, no. 7_Supplement (2023): 742. http://dx.doi.org/10.1158/1538-7445.am2023-742.

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Abstract Purpose: This study evaluates feasibility and acceptability of a digital health coaching intervention for individuals who are within one year of completing primary cancer treatment of any modality, as well as its effect on health self-efficacy. Secondary endpoints evaluate trends in patient-reported outcomes (PRO), including financial toxicity, for which the Economic StraiN and Resilience in Cancer (ENRICh) tool is being validated. Additional endpoints explore associations between patient-reported symptoms, wearable, biomarker, and clinical data. This study seeks to fill a critical kn

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Patra, Shinjan, and Ayan Roy. "ODP498 Myocardial Ischemia precipitating thyroid storm diagnosed during recovery through Wellen's wave: An ECG for an eye." Journal of the Endocrine Society 6, Supplement_1 (2022): A773—A774. http://dx.doi.org/10.1210/jendso/bvac150.1598.

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Abstract Introduction Thyroid storm is a major life-threatening condition in a patient of thyrotoxicosis which can accelerate the cardiovascular morbidity in forms of tachycardia, arrythmia and congestive heart failure. It can be precipitated by acute coronary syndrome. Most literatures have reported acute coronary syndromes during the presentation itself but here we shall describe an intriguing case where the diagnosis was possible after the resolution of the thyroid storm. Clinical case: A 55-year-old graves’ disease patient had presented with classical features of thyroid storm which was pr

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Leon, Nicole F., David Baliu-Rodriguez, Deepa K. Murugesh, Aimy Sebastian, Gabriela G. Loots, and Nicholas R. Hum. "Abstract 9: Histological characterization of two genetically engineered mouse models of non-small cell lung cancer." Cancer Research 83, no. 7_Supplement (2023): 9. http://dx.doi.org/10.1158/1538-7445.am2023-9.

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Abstract Non-small cell lung cancer (NSCLC) patients exhibit minimal symptoms until late-stage disease, resulting in approximately 80% of patients being diagnosed at advanced stages when the response to therapy is low. Effective pre-clinical models are needed to accurately reflect NSCLC disease progression and improve basic NSCLC research. This work characterizes two genetically engineered mouse models (GEMM) that reflect human NSCLC. These mouse lines utilize a cre recombinase system to induce the expression of two oncogenic mutations (KrasG12D, Trp53fl) in club cells or alveolar epithelial c

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Yao, Weitao, Xin Wei, Qiang Jing, Xiaobin Yuan, Fan liu, and Xuhui Zhang. "Epidemiological trends of urolithiasis in working-age populations: Findings from the global burden of disease study 1990–2021." PLOS One 20, no. 7 (2025): e0327343. https://doi.org/10.1371/journal.pone.0327343.

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Background One of the most prevalent urinary disorders worldwide, urolithiasis has symptoms and a high rate of recurrence. It has placed a significant strain on the global economy and health care system, particularly among those aged 20–54. Comprehensive research on the global burden and evolving trends of urinary calculi in the 20–54 age range is lacking. Methods Three important urolithiasis indicators—prevalence, incidence, and Disability-Adjusted Life Years (DALYs)—were used from the Global Burden of Disease (GBD) database between 1990 and 2021 for this study.Point estimates were provided,

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Moffitt, Andrea B., Jude Kendall, Joan Alexander, et al. "Abstract 5890: Personalized detection of circulating cell-free tumor DNA in gynecologic cancer." Cancer Research 85, no. 8_Supplement_1 (2025): 5890. https://doi.org/10.1158/1538-7445.am2025-5890.

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Abstract Endometrial and ovarian cancers are among the most common gynecologic malignancies in the U.S., with 5-year overall survival rates of 81% and 50% respectively. Ovarian cancer often presents late due to asymptomatic early stages and nonspecific symptoms in advanced stages. Few markers exist for early detection, and they lack the sensitivity and specificity needed for high-risk screening. Given the absence of informative protein blood biomarkers, cell-free DNA analysis has become a promising tool for early detection, treatment evaluation, and monitoring. However, previous studies of cir

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Nandakumar, Subhiksha, Christoph Kreitzer, Charli Ann Hertz, et al. "Abstract 1053: Circulating tumor DNA from cerebrospinal fluid (CSF) allows for characterization and monitoring of glioma patients." Cancer Research 83, no. 7_Supplement (2023): 1053. http://dx.doi.org/10.1158/1538-7445.am2023-1053.

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Abstract Intro: High-Grade Gliomas (HGGs) are the most common and aggressive primary brain tumors in adults and are almost always fatal. Liquid biopsy provides a noninvasive window into the cancer genome and the underlying biology of the tumor. Circulating-tumor DNA (ctDNA) is a versatile analyte for tumor diagnosis, monitoring treatment response, detecting resistance, and tracking tumor evolution. The central hypothesis of our work is that detection of cerebrospinal fluid (CSF) ctDNA correlates with clinically significant events and can be used as a surrogate for tissue biopsy to guide treatm

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Hoa Nguyen, Huyen Thi, Linh Khanh Bui, Tran Ngoc Tran, et al. "The i-CanManage program to improve exercise and symptom management for Vietnamese women after cancer: A pilot randomized controlled trial protocol." DIGITAL HEALTH 10 (January 2024). http://dx.doi.org/10.1177/20552076241293974.

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Background Women dealing with cancer often face a myriad of physical and psychological challenges. Regular physical activity and mobile applications offering healthcare consultation, information, and health tracking have shown promise in aiding this demographic. Therefore, this study aims to examine the effectiveness of the i-CanManage program in improving physical activity, self-efficacy in symptom management, and the quality of life (QoL) among Vietnamese women after completion of cancer treatment. Methods A two-arm pilot randomized controlled trial will be conducted. Eligible participants w

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S.M., Udhaya Sankar, Ganesan R., Jeevaa Katiravan, Ramakrishnan M., and Ruhin Kouser R. "Mobile application based speech and voice analysis for COVID-19 detection using computational audit techniques." International Journal of Pervasive Computing and Communications ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/ijpcc-09-2020-0150.

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Purpose It has been six months from the time the first case was registered, and nations are still working on counter steering regulations. The proposed model in the paper encompasses a novel methodology to equip systems with artificial intelligence and computational audition techniques over voice recognition for detecting the symptoms. Regular and irregular speech/voice patterns are recognized using in-built tools and devices on a hand-held device. Phenomenal patterns can be contextually varied among normal and presence of asymptotic symptoms. Design/methodology/approach The lives of patients

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Heudel, Pierre Etienne, Myriam Ait Ichou, Bertrand Favier, Hugo Crochet, and Jean-Yves Blay. "Can Digital Health Improve Therapeutic Compliance in Oncology?" JCO Clinical Cancer Informatics, no. 8 (October 2024). http://dx.doi.org/10.1200/cci-24-00205.

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PURPOSE Therapeutic compliance, or adherence, is critical in oncology because of the complexity and duration of cancer treatment regimens. Nonadherence can lead to suboptimal therapeutic outcomes, increased disease progression, higher mortality rates, and elevated health care costs. Traditional methods to enhance compliance, such as patient education and regular follow-ups, have shown limited success. MATERIALS AND METHODS This review examines the potential of digital health technologies to improve adherence in oncology. Various studies and trials are analyzed to assess the effectiveness of th

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Qi, Wan-Yi, Yan Sun, Yun Guo, and Lan Tan. "Associations of sleep disorders with serum neurofilament light chain levels in Parkinson’s disease." BMC Neurology 24, no. 1 (2024). http://dx.doi.org/10.1186/s12883-024-03642-y.

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Abstract Background Sleep disorders are a prevalent non-motor symptom of Parkinson’s disease (PD), although reliable biological markers are presently lacking. Objectives To explore the associations between sleep disorders and serum neurofilament light chain (NfL) levels in individuals with prodromal and early PD. Methods The study contained 1113 participants, including 585 early PD individuals, 353 prodromal PD individuals, and 175 healthy controls (HCs). The correlations between sleep disorders (including rapid eye movement sleep behavior disorder (RBD) and excessive daytime sleepiness (EDS))

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Hesham Tarek, H. T., H. D. Hayam Mohamed El Damnhoury, H. B. Haitham Abdelfattah Badran, A. G. Ahmed Gamal Eldin Mohammed Elewa, M. M. Mohamed Ahmed Ali Kotb Moussa, and J. K. John Kamel Zarif. "Efficacy of catheter ablation of frequent asymptomatic idiopathic PVCs in treating latent left ventricular systolic dysfunction as being assessed by speckle tracking of LV global longitudinal strain." Europace 27, Supplement_1 (2025). https://doi.org/10.1093/europace/euaf085.722.

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Abstract Background Throughout the past decade there were no straightforward recommendations regarding management of asymptomatic PVCs in structurally normal heart. The recent ESC guidelines for management of ventricular arrhythmias and prevention of sudden cardiac death published in 2022 declared overtly that there is a gap of evidence regarding management of asymptomatic high burden PVCs in structurally normal heart. Fear of progression to cardiomyopathy along with high success rates with catheter ablation (CA) brought to our insight the idea of applying the other comprehensive imaging modal

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