scholarly journals Sleep and COVID-19. A Case Report of a Mild COVID-19 Patient Monitored by Consumer-Targeted Sleep Wearables

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7944
Author(s):  
Arnaud Metlaine ◽  
Fabien Sauvet ◽  
Mounir Chennaoui ◽  
Damien Leger ◽  
Maxime Elbaz
Keyword(s):  
Clinical Care ◽  
Sleep Onset ◽  
Original Description ◽  
Sleep Time ◽  
The Novel ◽  
Public Health Services ◽  
Sleep Monitoring ◽  
Novel Coronavirus ◽  
Monitoring Devices ◽  
Chronic Sleep

Since its first description in Wuhan, China, the novel Coronavirus (SARS-CoV-2) has spread rapidly around the world. The management of this major pandemic requires a close coordination between clinicians, scientists, and public health services in order to detect and promptly treat patients needing intensive care. The development of consumer wearable monitoring devices offers physicians new opportunities for the continuous monitoring of patients at home. This clinical case presents an original description of 55 days of SARS-CoV-2-induced physiological changes in a patient who routinely uses sleep-monitoring devices. We observed that sleep was specifically affected during COVID-19 (Total Sleep time, TST, and Wake after sleep onset, WASO), within a seemingly bidirectional manner. Sleep status prior to infection (e.g., chronic sleep deprivation or sleep disorders) may affect disease progression, and sleep could be considered as a biomarker of interest for monitoring COVID-19 progression. The use of habitual data represents an opportunity to evaluate pathologic states and improve clinical care.

scholarly journals P062 Sleep parameter validation of a home-based ballistocardiograph sleep tracker

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A41-A42
Author(s):  
M Kholghi ◽  
I Szollosi ◽  
M Hollamby ◽  
D Bradford ◽  
Q Zhang
Keyword(s):  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Daily Routine ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Sleep Monitoring ◽  
Significant Discrepancy ◽  
Home Based ◽  
Wake Detection

Abstract Introduction Consumer home sleep trackers are gaining popularity for objective sleep monitoring. Amongst them, non-wearable devices have little disruption in daily routine and need little maintenance. However, the validity of their sleep outcomes needs further investigation. In this study, the accuracy of the sleep outcomes of EMFIT Quantified Sleep (QS), an unobtrusive and non-wearable ballistocardiograph sleep tracker, was evaluated by comparing it with polysomnography (PSG). Methods 62 sleep lab patients underwent a single clinical PSG and their sleep measures were simultaneously collected through PSG and EMFIT QS. Total Sleep Time (TST), Wake After Sleep Onset (WASO), Sleep Onset Latency (SOL) and average Heart Rate (HR) were compared using paired t-tests and agreement analysed using Bland-Altman plots. Results EMFIT QS data loss occurred in 47% of participants. In the remaining 33 participants (15 females, with mean age of 53.7±16.5), EMFIT QS overestimated TST by 177.5±119.4 minutes (p<0.001) and underestimated WASO by 44.74±68.81 minutes (p<0.001). It accurately measured average resting HR and was able to distinguish SOL with some accuracy. However, the agreement between EMFIT QS and PSG on sleep-wake detection was very low (kappa=0.13, p<0.001). Discussion A consensus between PSG and EMFIT QS was found in SOL and average HR. There was a significant discrepancy and lack of consensus between the two devices in other sleep outcomes. These findings indicate that while EMFIT QS is not a credible alternative to PSG for sleep monitoring in clinical and research settings, consumers may find some benefit from longitudinal monitoring of SOL and HR.

Curating the Evidence About COVID-19 for Frontline Public Health and Clinical Care: The Novel Coronavirus Research Compendium

2021 ◽  
pp. 003335492110587
Author(s):  
Andrew D. Redd ◽  
Lauren S. Peetluk ◽  
Brooke A. Jarrett ◽  
Colleen Hanrahan ◽  
Sheree Schwartz ◽  
...  
Keyword(s):  
Public Health ◽  
Clinical Care ◽  
The United States ◽  
The Novel ◽  
Health Crisis ◽  
The Public ◽  
Successful Model ◽  
Medical Response ◽  
Public Consumption ◽  
Novel Coronavirus

The public health crisis created by the COVID-19 pandemic has spurred a deluge of scientific research aimed at informing the public health and medical response to the pandemic. However, early in the pandemic, those working in frontline public health and clinical care had insufficient time to parse the rapidly evolving evidence and use it for decision-making. Academics in public health and medicine were well-placed to translate the evidence for use by frontline clinicians and public health practitioners. The Novel Coronavirus Research Compendium (NCRC), a group of >60 faculty and trainees across the United States, formed in March 2020 with the goal to quickly triage and review the large volume of preprints and peer-reviewed publications on SARS-CoV-2 and COVID-19 and summarize the most important, novel evidence to inform pandemic response. From April 6 through December 31, 2020, NCRC teams screened 54 192 peer-reviewed articles and preprints, of which 527 were selected for review and uploaded to the NCRC website for public consumption. Most articles were peer-reviewed publications (n = 395, 75.0%), published in 102 journals; 25.1% (n = 132) of articles reviewed were preprints. The NCRC is a successful model of how academics translate scientific knowledge for practitioners and help build capacity for this work among students. This approach could be used for health problems beyond COVID-19, but the effort is resource intensive and may not be sustainable in the long term.

Shape-based Machine Learning Models for the Potential Novel COVID-19 Protease Inhibitors Assisted by Molecular Dynamics Simulation

2020 ◽  
Vol 20 (24) ◽  
pp. 2146-2167 ◽  
Author(s):  
Anuraj Nayarisseri ◽  
Ravina Khandelwal ◽  
Maddala Madhavi ◽  
Chandrabose Selvaraj ◽  
Umesh Panwar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Molecular Dynamics ◽  
Protease Inhibitors ◽  
Dynamics Simulation ◽  
The Novel ◽  
Public Health Services ◽  
Dynamic Simulations ◽  
Disease Patterns ◽  
Novel Coronavirus ◽  
Dynamics Simulations

Background: The vast geographical expansion of novel coronavirus and an increasing number of COVID-19 affected cases have overwhelmed health and public health services. Artificial Intelligence (AI) and Machine Learning (ML) algorithms have extended their major role in tracking disease patterns, and in identifying possible treatments. Objective: This study aims to identify potential COVID-19 protease inhibitors through shape-based Machine Learning assisted by Molecular Docking and Molecular Dynamics simulations. Methods: 31 Repurposed compounds have been selected targeting the main coronavirus protease (6LU7) and a machine learning approach was employed to generate shape-based molecules starting from the 3D shape to the pharmacophoric features of their seed compound. Ligand-Receptor Docking was performed with Optimized Potential for Liquid Simulations (OPLS) algorithms to identify highaffinity compounds from the list of selected candidates for 6LU7, which were subjected to Molecular Dynamic Simulations followed by ADMET studies and other analyses. Results: Shape-based Machine learning reported remdesivir, valrubicin, aprepitant, and fulvestrant as the best therapeutic agents with the highest affinity for the target protein. Among the best shape-based compounds, a novel compound identified was not indexed in any chemical databases (PubChem, Zinc, or ChEMBL). Hence, the novel compound was named 'nCorv-EMBS'. Further, toxicity analysis showed nCorv-EMBS to be suitable for further consideration as the main protease inhibitor in COVID-19. Conclusion: Effective ACE-II, GAK, AAK1, and protease 3C blockers can serve as a novel therapeutic approach to block the binding and attachment of the main COVID-19 protease (PDB ID: 6LU7) to the host cell and thus inhibit the infection at AT2 receptors in the lung. The novel compound nCorv- EMBS herein proposed stands as a promising inhibitor to be evaluated further for COVID-19 treatment.

scholarly journals Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic

2020 ◽  
Vol 27 (6) ◽  
pp. 963-966 ◽  
Author(s):  
Leslie Lenert ◽  
Brooke Yeager McSwain
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Systems Of Care ◽  
Clinical Care ◽  
The Novel ◽  
Remote Testing ◽  
Specimen Collection ◽  
Care Processes ◽  
Novel Coronavirus

Abstract The novel coronavirus disease 2019 infection poses serious challenges to the healthcare system that are being addressed through the creation of new unique and advanced systems of care with disjointed care processes (eg, telehealth screening, drive-through specimen collection, remote testing, telehealth management). However, our current regulations on the flows of information for clinical care and research are antiquated and often conflict at the state and federal levels. We discuss proposed changes to privacy regulations such as the Health Insurance Portability and Accountability Act designed to let health information seamlessly and frictionlessly flow among the health entities that need to collaborate on treatment of patients and, also, allow it to flow to researchers trying to understand how to limit its impacts.

scholarly journals Direct Measurement of Rates of Asymptomatic Infection and Clinical Care-Seeking for Seasonal Coronavirus

2020 ◽  
Author(s):  
Jeffrey Shaman ◽  
Marta Galanti
Keyword(s):  
Respiratory Infections ◽  
Clinical Care ◽  
Asymptomatic Infection ◽  
Care Seeking ◽  
The Novel ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
Viral Respiratory Infections ◽  
Human Infections ◽  
Longitudinal Sampling

AbstractThe pandemic potential of the novel coronavirus (nCoV) that emerged in Wuhan, China, during December 2019 is strongly tied to the number and contagiousness of undocumented human infections. Here we present findings from a proactive longitudinal sampling study of acute viral respiratory infections that documents rates of asymptomatic infection and clinical care seeking for seasonal coronavirus. We find that the majority of infections are asymptomatic by most symptom definitions and that only 4% of individuals experiencing a seasonal coronavirus infection episode sought medical care for their symptoms. These numbers indicate that a very high percentage of seasonal coronavirus infections are undocumented and provide a reference for understanding the spread of the emergent nCoV.

scholarly journals Ethical dilemmas faced by frontline support nurses fighting COVID-19

2021 ◽  
pp. 096973302110152
Author(s):  
Xinyi Liu ◽  
Yingying Xu ◽  
Yuanyuan Chen ◽  
Chen chen ◽  
Qiwei Wu ◽  
...  
Keyword(s):  
Interpersonal Relationships ◽  
Ethical Dilemmas ◽  
Clinical Care ◽  
Well Being ◽  
Team Approach ◽  
The Novel ◽  
Front Line ◽  
Structured Interviews ◽  
Open Communication ◽  
Novel Coronavirus

Background: In 2019, an outbreak of COVID-19 broke out in Hubei, China. Medical workers from all over the country rushed to Hubei and participated in the treatment and care of COVID-19 patients. These nurses, dedicated to their professional practice, volunteered to provide compassion and expert clinical care during the pandemic. As with other acts of heroism, the ethical dilemmas associated with working on the front line must be considered for future practice. Purpose: To explore the ethical dilemmas of frontline nurses of Jiangsu Province in China during deployment to Wuhan to fight the novel coronavirus pneumonia, and to provide a basis for developing strategies to help nursing staff address personal and practice concerns in order to work more effectively during this pandemic and other disasters in the future. Research design and method: Using the phenomenological research method and the purpose sampling method, semi-structured interviews were conducted with 10 nurses, post-deployment to Wuhan, who had worked on the front line to fight the novel coronavirus. Ethical considerations: The research proposal was approved by the Research Ethic Committee of Yangzhou University, China. Findings: From the analysis of the interviews of the 10 participants, three main themes were identified: ethical dilemmas in clinical nursing, ethical dilemmas in interpersonal relationships, and ethical dilemmas in nursing management. Conclusion: During a quick response to public health emergencies, where nurses are deployed immediately as a call to action, the issues surrounding ethical dilemmas from several perspectives must be considered. This research suggests that a team approach to proactive planning and open communication during the emergency is an efficient and productive strategy to improve the nurses’ experience and sense of well-being.

scholarly journals COVID-19 and systemic sclerosis: Rising to the challenge of a pandemic

2020 ◽  
pp. 239719832096339
Author(s):  
Christopher P Denton ◽  
Corrado Campochiaro ◽  
Cosimo Bruni ◽  
Oliver Distler ◽  
Annamaria Iagnocco ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Musculoskeletal Diseases ◽  
Clinical Care ◽  
Relevant Literature ◽  
The Novel ◽  
New Ways Of Working ◽  
European League Against Rheumatism ◽  
The World ◽  
Unanticipated Consequences ◽  
Novel Coronavirus

COVID-19, caused by infection of the novel coronavirus SARS-CoV-2, has caused a pandemic of enormous impact that has challenged healthcare and political system throughout the world. This new health emergency has occurred on top of the usual burden of diseases, including systemic sclerosis, and has led to many unanticipated consequences. An early consequence of the pandemic was postponement of the Sixth Systemic Sclerosis World Congress that was recently completed as a successful virtual congress with more than 1000 delegates. In this article, we summarise the relevance and impact of COVID-19 from the perspective of systemic sclerosis. Shared concepts of pathogenesis are considered, and the relevant literature emerging about COVID-19 and systemic sclerosis summarised. The specific impact of this pandemic on delivery of optimal scleroderma care is considered, together with the broader effect on rheumatic and musculoskeletal diseases and the activities of European League Against Rheumatism. As the World continues to struggle against this new infectious disease, it is notable that expertise and growing understanding of systemic sclerosis has been able to help tackle COVID-19. Moreover, the essential adjustments to deliver clinical care and establishment of new ways of working due to the pandemic have offered potential avenues for future improvement in systemic sclerosis care.

scholarly journals Decreased Nocturnal Awakenings in Young Adults Performing Bikram Yoga: A Low-Constraint Home Sleep Monitoring Study

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Ravi S. Kudesia ◽  
Matt T. Bianchi
Keyword(s):  
Sleep Latency ◽  
Transition Probability ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Monitoring ◽  
Work Transition ◽  
Monitoring Study ◽  
Sleep Parameters ◽  
Low Constraint ◽  
The Impact

This pilot study evaluated the impact of Bikram Yoga on subjective and objective sleep parameters. We compared subjective (diary) and objective (headband sleep monitor) sleep measures on yoga versus nonyoga days during a 14-day period. Subjects () were not constrained regarding yoga-practice days, other exercise, caffeine, alcohol, or naps. These activities did not segregate by choice of yoga days. Standard sleep metrics were unaffected by yoga, including sleep latency, total sleep time, and percentage of time spent in rapid eye movement (REM), light non-REM, deep non-REM, or wake after sleep onset (WASO). Consistent with prior work, transition probability analysis was a more sensitive index of sleep architecture changes than standard metrics. Specifically, Bikram Yoga was associated with significantly faster return to sleep after nocturnal awakenings. We conclude that objective home sleep monitoring is feasible in a low-constraint, real-world study design. Further studies on patients with insomnia will determine whether the results generalize or not.

scholarly journals Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 754 ◽  
Author(s):  
Sirinthip Roomkham ◽  
Michael Hittle ◽  
Joseph Cheung ◽  
David Lovell ◽  
Emmanuel Mignot ◽  
...  
Keyword(s):  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Clinical Settings ◽  
Sleep Monitoring ◽  
Free Living ◽  
Acceleration Data ◽  
Normal Environment ◽  
Term Performance ◽  
Free Living Conditions

Background: We investigate the feasibility of using an Apple Watch for sleep monitoring by comparing its performance to the clinically validated Philips Actiwatch Spectrum Pro (the gold standard in this study), under free-living conditions. Methods: We recorded 27 nights of sleep from 14 healthy adults (9 male, 5 female). We extracted activity counts from the Actiwatch and classified 15-second epochs into sleep/wake using the Actiware Software. We extracted triaxial acceleration data (at 50 Hz) from the Apple Watch, calculated Euclidean norm minus one (ENMO) for the same epochs, and classified them using a similar algorithm. We used a range of analyses, including Bland-Altman plots and linear correlation, to visualize and assess the agreement between Actiwatch and Apple Watch. Results: The Apple Watch had high overall accuracy (97%) and sensitivity (99%) in detecting actigraphy-defined sleep, and adequate specificity (79%) in detecting actigraphy defined wakefulness. Over the 27 nights, total sleep time was strongly linearly correlated between the two devices (r=0.85). On average, the Apple Watch over-estimated total sleep time by 6.31 minutes and under-estimated Wake After Sleep Onset by 5.74 minutes. The performance of the Apple Watch compares favorably to the clinically validated Actiwatch in a normal environment. Conclusions: This study suggests that the Apple Watch could be an acceptable alternative to the Philips Actiwatch for sleep monitoring, paving the way for larger-scale sleep studies using Apple’s consumer-grade mobile device and publicly available sleep classification algorithms. Further study is needed to assess longer-term performance in natural conditions, and against polysomnography in clinical settings.

scholarly journals Curating and translating the evidence about SARS-CoV-2 and COVID-19 for frontline public health and clinical care: The Novel Coronavirus Research Compendium (NCRC)

2021 ◽  
Author(s):  
Andrew D. Redd ◽  
Lauren Peetluk ◽  
Brooke Jarrett ◽  
Colleen Hanrahan ◽  
Sheree Schwartz ◽  
...  
Keyword(s):  
Public Health ◽  
Clinical Care ◽  
The Novel ◽  
Health Crisis ◽  
Successful Model ◽  
Medical Response ◽  
Public Consumption ◽  
Insufficient Time ◽  
Novel Coronavirus ◽  
Public Health Practitioners

AbstractThe public health crisis created by the SARS-CoV-2 pandemic has spurred a deluge of scientific research aimed at informing public health and medical response to the COVID-19 pandemic. However, those working in frontline public health and clinical care had insufficient time to parse the rapidly evolving evidence and use it for decision making. Academics in public health and medicine were well-placed to translate the evidence for use by frontline clinicians and public health practitioners. The Novel Coronavirus Research Compendium (NCRC), a group of >50 faculty and trainees, began in March 2020 with the goal to quickly triage and review the large volume of preprints and peer-reviewed publications on SARS-CoV-2 and COVID-19, and to summarize the most important, novel evidence to inform pandemic response. From April 6, 2020 through January 1, 2021, 54,192 papers and preprints were screened by NCRC teams and 527 were selected for review and uploaded to the NCRC website for public consumption. The majority of papers reviewed were peer-reviewed publications (n=395, 75%), published in 102 journals; 25% (n=132) of papers reviewed were of preprints. The NCRC is a successful model of how academics can support practitioners by translating scientific knowledge into action and help to build capacity among students for this work. This approach could be used for health problems beyond COVID-19, but the effort is resource intensive and may not be sustainable over the long term.

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