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1.
Care of Pediatric Patients with Diabetes During the Coronavirus Disease 2019 (COVID-19) Pandemic.
Buggs-Saxton, C
Pediatric clinics of North America. 2021;(5):1093-1101
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Abstract
This article summarizes clinical observations and management strategies in pediatric type 1 diabetes (T1D) during the coronavirus disease 2019 (COVID-19) pandemic. Despite initial fears that children with diabetes would, similar to adults with diabetes, be at risk for severe COVID-19, most pediatric patients with a history of T1D who developed COVID-19 had mild disease or were asymptomatic similar to their peers without diabetes. The article also summarizes the use of telemedicine to provide ongoing care for pediatric patients with T1D during the COVID-19 pandemic. Finally, the article highlights important lessons learned about management of pediatric diabetes during the COVID-19 pandemic.
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Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.
Li, JO, Liu, H, Ting, DSJ, Jeon, S, Chan, RVP, Kim, JE, Sim, DA, Thomas, PBM, Lin, H, Chen, Y, et al
Progress in retinal and eye research. 2021;:100900
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The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital innovations include artificial intelligence (AI), 5th generation (5G) telecommunication networks and the Internet of Things (IoT), creating an inter-dependent ecosystem offering opportunities to develop new models of eye care addressing the challenges of COVID-19 and beyond. Ophthalmology has thrived in some of these areas partly due to its many image-based investigations. Tele-health and AI provide synchronous solutions to challenges facing ophthalmologists and healthcare providers worldwide. This article reviews how countries across the world have utilised these digital innovations to tackle diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, glaucoma, refractive error correction, cataract and other anterior segment disorders. The review summarises the digital strategies that countries are developing and discusses technologies that may increasingly enter the clinical workflow and processes of ophthalmologists. Furthermore as countries around the world have initiated a series of escalating containment and mitigation measures during the COVID-19 pandemic, the delivery of eye care services globally has been significantly impacted. As ophthalmic services adapt and form a "new normal", the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed. Finally, challenges for validation and clinical implementation are considered, as well as recommendations on future directions.
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Management of patients with diabetes and obesity in the COVID-19 era: Experiences and learnings from South and East Europe, the Middle East, and Africa.
Giorgino, F, Bhana, S, Czupryniak, L, Dagdelen, S, Galstyan, GR, Janež, A, Lalić, N, Nouri, N, Rahelić, D, Stoian, AP, et al
Diabetes research and clinical practice. 2021;:108617
Abstract
The COVID-19 pandemic has had a major effect on healthcare during 2020. Current evidence suggests that, while individuals with diabetes and obesity are no more prone to SARS-CoV-2 infection than those without, the risk of hospitalisation if someone has diabetes or obesity and then contracts COVID-19 is three times higher - and 4.5 times higher if they have diabetes and obesity. We assembled a panel of experts from South and East Europe, the Middle East, and Africa to discuss the challenges to management of diabetes and obesity during and post the COVID-19 pandemic. The experience and learnings of this panel cover a heterogeneous patient population, wide range of clinical settings, healthcare organisations, disease management strategies, and social factors. We discuss the importance of timely and effective disease management via telemedicine, providing reassurance and guidance for patients unable or unwilling to visit healthcare settings at this time. We address the use of novel therapies and their role in managing diabetes and obesity during the pandemic, as well as the importance of controlling hypoglycaemia and preventing cardiovascular complications, particularly in vulnerable people. Finally, we consider post-COVID-19 management of diabetes and obesity, and how these learnings and experiences should impact upon future clinical guidelines.
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New technologies and Amyotrophic Lateral Sclerosis - Which step forward rushed by the COVID-19 pandemic?
Pinto, S, Quintarelli, S, Silani, V
Journal of the neurological sciences. 2020;:117081
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Amyotrophic Lateral Sclerosis (ALS) is a fast-progressive neurodegenerative disease leading to progressive physical immobility with usually normal or mild cognitive and/or behavioural involvement. Many patients are relatively young, instructed, sensitive to new technologies, and professionally active when developing the first symptoms. Older patients usually require more time, encouragement, reinforcement and a closer support but, nevertheless, selecting user-friendly devices, provided earlier in the course of the disease, and engaging motivated carers may overcome many technological barriers. ALS may be considered a model for neurodegenerative diseases to further develop and test new technologies. From multidisciplinary teleconsults to telemonitoring of the respiratory function, telemedicine has the potentiality to embrace other fields, including nutrition, physical mobility, and the interaction with the environment. Brain-computer interfaces and eye tracking expanded the field of augmentative and alternative communication in ALS but their potentialities go beyond communication, to cognition and robotics. Virtual reality and different forms of artificial intelligence present further interesting possibilities that deserve to be investigated. COVID-19 pandemic is an unprecedented opportunity to speed up the development and implementation of new technologies in clinical practice, improving the daily living of both ALS patients and carers. The present work reviews the current technologies for ALS patients already in place or being under evaluation with published publications, prompted by the COVID-19 pandemic.
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Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece.
Tragomalou, A, Moschonis, G, Manios, Y, Kassari, P, Ioakimidis, I, Diou, C, Stefanopoulos, L, Lekka, E, Maglaveras, N, Delopoulos, A, et al
Nutrients. 2020;(5)
Abstract
Obesity in childhood and adolescence represents a major health problem. Novel e-Health technologies have been developed in order to provide a comprehensive and personalized plan of action for the prevention and management of overweight and obesity in childhood and adolescence. We used information and communication technologies to develop a "National Registry for the Prevention and Management of Overweight and Obesity" in order to register online children and adolescents nationwide, and to guide pediatricians and general practitioners regarding the management of overweight or obese subjects. Furthermore, intelligent multi-level information systems and specialized artificial intelligence algorithms are being developed with a view to offering precision and personalized medical management to obese or overweight subjects. Moreover, the Big Data against Childhood Obesity platform records behavioral data objectively by using inertial sensors and Global Positioning System (GPS) and combines them with data of the environment, in order to assess the full contextual framework that is associated with increased body mass index (BMI). Finally, a computerized decision-support tool was developed to assist pediatric health care professionals in delivering personalized nutrition and lifestyle optimization advice to overweight or obese children and their families. These e-Health applications are expected to play an important role in the management of overweight and obesity in childhood and adolescence.
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A guide for urogynecologic patient care utilizing telemedicine during the COVID-19 pandemic: review of existing evidence.
Grimes, CL, Balk, EM, Crisp, CC, Antosh, DD, Murphy, M, Halder, GE, Jeppson, PC, Weber LeBrun, EE, Raman, S, Kim-Fine, S, et al
International urogynecology journal. 2020;(6):1063-1089
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INTRODUCTION AND HYPOTHESIS The COVID-19 pandemic and the desire to "flatten the curve" of transmission have significantly affected the way providers care for patients. Female Pelvic Medicine and Reconstructive Surgeons (FPMRS) must provide high quality of care through remote access such as telemedicine. No clear guidelines exist on the use of telemedicine in FPMRS. Using expedited literature review methodology, we provide guidance regarding management of common outpatient urogynecology scenarios during the pandemic. METHODS We grouped FPMRS conditions into those in which virtual management differs from direct in-person visits and conditions in which treatment would emphasize behavioral and conservative counseling but not deviate from current management paradigms. We conducted expedited literature review on four topics (telemedicine in FPMRS, pessary management, urinary tract infections, urinary retention) and addressed four other topics (urinary incontinence, prolapse, fecal incontinence, defecatory dysfunction) based on existing systematic reviews and guidelines. We further compiled expert consensus regarding management of FPMRS patients in the virtual setting, scenarios when in-person visits are necessary, symptoms that should alert providers, and specific considerations for FPMRS patients with suspected or confirmed COVID-19. RESULTS Behavioral, medical, and conservative management will be valuable as first-line virtual treatments. Certain situations will require different treatments in the virtual setting while others will require an in-person visit despite the risks of COVID-19 transmission. CONCLUSIONS We have presented guidance for treating FPMRS conditions via telemedicine based on rapid literature review and expert consensus and presented it in a format that can be actively referenced.
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The Impact of COVID-19 on Pediatric Adherence and Self-Management.
Plevinsky, JM, Young, MA, Carmody, JK, Durkin, LK, Gamwell, KL, Klages, KL, Ghosh, S, Hommel, KA
Journal of pediatric psychology. 2020;(9):977-982
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The COVID-19 pandemic has presented unique circumstances that have the potential to both positively and negatively affect pediatric adherence and self-management in youth with chronic medical conditions. The following paper discusses how these circumstances (e.g., stay-at-home orders, school closures, changes in pediatric healthcare delivery) impact disease management at the individual, family, community, and healthcare system levels. We also discuss how barriers to pediatric adherence and self-management exacerbated by the pandemic may disproportionately affect underserved and vulnerable populations, potentially resulting in greater health disparities. Given the potential for widespread challenges to pediatric disease management during the pandemic, ongoing monitoring and promotion of adherence and self-management is critical. Technology offers several opportunities for this via telemedicine, electronic monitoring, and mobile apps. Moreover, pediatric psychologists are uniquely equipped to develop and implement adherence-promotion efforts to support youth and their families in achieving and sustaining optimal disease management as the current public health situation continues to evolve. Research efforts addressing the short- and long-term impact of the pandemic on pediatric adherence and self-management are needed to identify both risk and resilience factors affecting disease management and subsequent health outcomes during this unprecedented time.
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Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.
Wong, TY, Sabanayagam, C
Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde. 2020;(1):9-20
Abstract
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with about 75% residing in low- and middle-income countries. Diabetic retinopathy (DR) affects 1 in 3 people with diabetes and remains the leading cause of blindness in working-aged adults. There are 3 broad strategic imperatives to prevent blindness caused by DR. Primary prevention requires preventing or delaying the onset of DR in those with diabetes by systems-level lifestyle modifications such as increasing physical activity or dietary modifications, pharmacological interventions for glycaemic and blood pressure control, and systematic screening for the onset of DR. Secondary prevention requires preventing the progression of DR in patients with DR by continuing systemic risk factor control, regular screening to monitor for the progression of mild DR to vision-threatening stages, and the development and implementation of evidence-based guidelines for managing DR. In this aspect, telemedicine-based DR screening incorporating artificial intelligence technology has the potential to facilitate more widespread and cost-effective screening, particularly in low- and middle-income countries. Tertiary prevention of DR blindness has been the main focus of the clinical ophthalmology community, classically based on laser photocoagulation treatment and ocular surgery but with an increasing use of anti-vascular endothelial growth factor (anti-VEGF) for vision-threatening DR. Evidence from serial epidemiological studies shows blindness due to DR has declined in high-income countries (e.g., the USA and UK) due to coordinated public health education efforts, increased awareness, early detection by DR screening, sustained systemic risk factor control, and the availability of effective tertiary level treatment. However, the progress made in reducing DR blindness in high-income countries may be overwhelmed by the increasing numbers of patients with diabetes and DR in low- and middle-income countries (e.g., China, India, Indonesia, etc.). Thus, to tackle DR at a global level, a paradigm shift in strategic focus from tertiary towards secondary and primary prevention measures with a multi-pronged whole-of-society approach at regional and national levels is urgently needed.
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Home-based or remote exercise testing in chronic respiratory disease, during the COVID-19 pandemic and beyond: A rapid review.
Holland, AE, Malaguti, C, Hoffman, M, Lahham, A, Burge, AT, Dowman, L, May, AK, Bondarenko, J, Graco, M, Tikellis, G, et al
Chronic respiratory disease. 2020;:1479973120952418
Abstract
OBJECTIVES To identify exercise tests that are suitable for home-based or remote administration in people with chronic lung disease. METHODS Rapid review of studies that reported home-based or remote administration of an exercise test in people with chronic lung disease, and studies reporting their clinimetric (measurement) properties. RESULTS 84 studies were included. Tests used at home were the 6-minute walk test (6MWT, two studies), sit-to-stand tests (STS, five studies), Timed Up and Go (TUG, 4 studies) and step tests (two studies). Exercise tests administered remotely were the 6MWT (two studies) and step test (one study). Compared to centre-based testing the 6MWT distance was similar when performed outdoors but shorter when performed at home (two studies). The STS, TUG and step tests were feasible, reliable (intra-class correlation coefficients >0.80), valid (concurrent and known groups validity) and moderately responsive to pulmonary rehabilitation (medium effect sizes). These tests elicited less desaturation than the 6MWT, and validated methods to prescribe exercise were not reported. DISCUSSION The STS, step and TUG tests can be performed at home, but do not accurately document desaturation with walking or allow exercise prescription. Patients at risk of desaturation should be prioritised for centre-based exercise testing when this is available.
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Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature.
Triantafyllidis, AK, Tsanas, A
Journal of medical Internet research. 2019;(4):e12286
Abstract
BACKGROUND Machine learning has attracted considerable research interest toward developing smart digital health interventions. These interventions have the potential to revolutionize health care and lead to substantial outcomes for patients and medical professionals. OBJECTIVE Our objective was to review the literature on applications of machine learning in real-life digital health interventions, aiming to improve the understanding of researchers, clinicians, engineers, and policy makers in developing robust and impactful data-driven interventions in the health care domain. METHODS We searched the PubMed and Scopus bibliographic databases with terms related to machine learning, to identify real-life studies of digital health interventions incorporating machine learning algorithms. We grouped those interventions according to their target (ie, target condition), study design, number of enrolled participants, follow-up duration, primary outcome and whether this had been statistically significant, machine learning algorithms used in the intervention, and outcome of the algorithms (eg, prediction). RESULTS Our literature search identified 8 interventions incorporating machine learning in a real-life research setting, of which 3 (37%) were evaluated in a randomized controlled trial and 5 (63%) in a pilot or experimental single-group study. The interventions targeted depression prediction and management, speech recognition for people with speech disabilities, self-efficacy for weight loss, detection of changes in biopsychosocial condition of patients with multiple morbidity, stress management, treatment of phantom limb pain, smoking cessation, and personalized nutrition based on glycemic response. The average number of enrolled participants in the studies was 71 (range 8-214), and the average follow-up study duration was 69 days (range 3-180). Of the 8 interventions, 6 (75%) showed statistical significance (at the P=.05 level) in health outcomes. CONCLUSIONS This review found that digital health interventions incorporating machine learning algorithms in real-life studies can be useful and effective. Given the low number of studies identified in this review and that they did not follow a rigorous machine learning evaluation methodology, we urge the research community to conduct further studies in intervention settings following evaluation principles and demonstrating the potential of machine learning in clinical practice.