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Background: Telemedicine based on wearable intelligent health devices becomes increasingly promissing for the elderly due to the accelerated aging population. Especially during COVID-19 pandemic, more elderly coronary heart disease patients with chronic comorbidities are in less secondary prevention management at home. Objective(s): To explore the prevention effect on main cardiovascular risk factors and repeated hospitalization in elderly comorbidities patients by telemedicine intervention based on multi-parameter wearable monitoring devices. Method(s): Total of 337 patients with comorbidities of coronary heart disease, hypertension and diabetes, with age more than 65 years old were recruited in the study from October 2019 to January 2021. They were randomly divided into control group and telemedcine intervention group. The latter used remote multi-parameter wearable devices to measure blood pressure, glycemic and electrocardiograph at home every day. A real-time monitoring platform would alarm any abnormal data to the doctors. Both doctors and patients can read the measurement results on a real-time mobile phone APP and interact with each other remotely twice a week routinely. A medical team remotely indicated the medications, while offering guidance on lifestyle. In contrast, the control group adopted traditional outpatient medical strategy to manage diseases. Result(s): A total of 306 patients were enrolled in the follow-up experiment finally: 153 in the intervention group and 153 in the control group. Patient characteristics at baseline were balanced between two groups. After 12 months, compared with the control group, the intervention group saw the following metrics significantly reduced: Systolic blood pressure (SBP) (131.66+/-9.43 vs 137.20+/-12.02 mmHg, P=0.000), total cholesterol (TC) (3.65+/-0.79 vs 4.08+/-0.82 mmol/L, P=0.001), low density lipoprotein cholesterol (LDL-C) (2.06+/-0.53 vs 2.38+/-0.61 mmol/L, P=0.002), and fasting blood glucose (FBG) (6.26+/-0.75 vs 6.81+/-0.97 mmol/L, P=0.000), while the following metrics went up significantly: Blood pressure control rate (77.3% vs 59.1%, P=0.039), blood lipid control rate(39.4% vs 21.2%, P=0.037), glycemic control rate (71.2% vs 51.5%, P=0.031), and medication adherence score (7.10+/-0.77 vs 6.80+/-0.73, P=0.020). Linear regression model analysis indicates that when interaction frequency >=1.53, 2.47 and 1.15 times/week, the SBP, LDL-C and FBG levels would be controlled, respectively. Cox survival analysis finds that the hospitalization rate of intervention group is significantly lower than that of the control group (24.18% vs 35.29%, P=0.031). Conclusion(s): The telemedicine interactive intervention based on multiparameter wearable devices provides effectively improvement of cardiovascular risk controlling, medication adherence, while reducing the hospitalization rate of patients. A frequency of doctor-patient interactions more than 2 times/week is beneficial for disease management the elderly at home. (Figure Presented) .
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Background: Telemedicine based on wearable intelligent health devices becomes increasingly promissing for the elderly due to the accelerated aging population. Especially during COVID-19 pandemic, more elderly coronary heart disease patients with chronic comorbidities are in less secondary prevention management at home. Objective: To explore the prevention effect on main cardiovascular risk factors and repeated hospitalization in elderly comorbidities patients by telemedicine intervention based on multi-parameter wearable monitoring devices. Methods: Total of 337 patients with comorbidities of coronary heart disease, hypertension and diabetes, with age more than 65 years old were recruited in the study from October 2019 to January 2021. They were randomly divided into control group and telemedcine intervention group. The latter used remote multi-parameter wearable devices to measure blood pressure, glycemic and electrocardiograph at home every day. A real-time monitoring platform would alarm any abnormal data to the doctors. Both doctors and patients can read the measurement results on a real-time mobile phone APP and interact with each other remotely twice a week routinely. A medical team remotely indicated the medications, while offering guidance on lifestyle. In contrast, the control group adopted traditional outpatient medical strategy to manage diseases. Results: A total of 306 patients were enrolled in the follow-up experiment finally: 153 in the intervention group and 153 in the control group. Patient characteristics at baseline were balanced between two groups. After 12 months, compared with the control group, the intervention group saw the following metrics significantly reduced: systolic blood pressure (SBP) (131.66±9.43 vs 137.20±12.02 mmHg, P=0.000), total cholesterol (TC) (3.65±0.79 vs 4.08±0.82 mmol/L, P=0.001), low density lipoprotein cholesterol (LDL-C) (2.06±0.53 vs 2.38±0.61 mmol/L, P=0.002), and fasting blood glucose (FBG) (6.26±0.75 vs 6.81±0.97 mmol/L, P=0.000), while the following metrics went up significantly: blood pressure control rate (77.3% vs 59.1%, P=0.039), blood lipid control rate(39.4% vs 21.2%, P=0.037), glycemic control rate (71.2% vs 51.5%, P=0.031), and medication adherence score (7.10±0.77 vs 6.80±0.73, P=0.020). Linear regression model analysis indicates that when interaction frequency ≥1.53, 2.47 and 1.15 times/week, the SBP, LDL-C and FBG levels would be controlled, respectively. Cox survival analysis finds that the hospitalization rate of intervention group is significantly lower than that of the control group (24.18% vs 35.29%, P=0.031). Conclusion: The telemedicine interactive intervention based on multi-parameter wearable devices provides effectively improvement of cardiovascular risk controlling, medication adherence, while reducing the hospitalization rate of patients. A frequency of doctor-patient interactions more than 2 times/week is beneficial for disease management the elderly at home. Funding Acknowledgement: Type of funding sources: Foundation. Main funding source(s): Key scientific research project of Health CommissionFigure 1. ResultsFigure 2. Flowchart and intervention strategy
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Background. Cytokines play a major role in the immune response to viral infections, contributing to viral clearance but also mediating immunopathology following infection. We sought to define and compare systemic cytokine responses in infants hospitalized with COVID-19 versus RSV infection (RSVi). Methods. Prospective study of convenience cohort of infants hospitalized with PCR confirmed SARS-CoV-2 or RSVi, as well as pre-pandemic healthy controls (HC). Blood samples were obtained at enrollment and cytokine analysis performed using a 92-cytokine inflammation panel (Olink platform). Statistical analyses were performed in R environment. Results. We enrolled 26 infants with COVID-19, 77 with RSVi, and 18 healthy infants as a comparator control group. Oxygen requirement was significantly more frequent in infants with RSVi (p=0.02), while presence of comorbidities was significantly more common in infants with COVID-19 (p=0.01). No statistical differences were identified in terms of length of stay, admission to pediatric intensive care unit, need for mechanical ventilation, and lymphocyte counts (Table 1). Principal component analysis (PCA) revealed clustering of the global cytokine profiles differentiating HC from infants with COVID-19 and RSVi (Figure 1A). Multiple comparison analysis among the three groups yielded 49 significantly different cytokines clustered in three groups. A first cluster that included cytokines such as CCL11, CCL19 and TNFSF12 were lower in both COVID-19 and RSVi compared to HC;a second cluster with CCL8, CXCL8 and CASP8 that were mildly increased in both COVID-19 and RSVi;and a third cluster that included IL6, IL17C and IFN-gamma were markedly increased in both viral groups compared with HC (ANOVA padj< 0.05) (Figure 1B). Direct comparison between COVID-19 and RSVi (padj< 0.05 and FC >1.5) identified 7 statistically different cytokines. CCL8, CXCL1, CCL20 concentrations were increased in COVID-19, while SIRT2, STAMBP, MMP10 and EIF4EBP1 concentrations were increased in RSVi (Figure 1C-D). Conclusion. Analysis of systemic cytokine profiles identified shared but also distinct cytokine responses in infants with SARS-CoV-2 and RSVi suggesting important differences in the pathogenesis of these viral infections. (Figure Presented).
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Infections by the Covid-19 coronavirus have proliferated since the end of 2019, and many privacy-protective contact tracing systems have been proposed to limit infections from spreading. However, the existing Bluetooth-based contact tracking systems lack accuracy and flexibility. In addition, it is desirable to have a contact tracing system that, in the future, can contribute to limiting the proliferation of new coronaviruses and as yet unknown viruses. In this study, we propose a method to extend a contact tracing system to be more flexible, accurate, and capable of dealing with unknown viruses by using trajectory data and infection factor information while protecting privacy. We also implemented the proposed extension method and measured its execution time and confirmed its practicality. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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On the basis of the recent research on the optimization of passenger boarding process at civil airports, the research status and achievements in this area was analyzed from the aspects of passenger, aircraft, methodology, and COVID-19 pandemic, the methods and measures to optimize the passenger boarding process at civil airports were discussed, and the directions of future studies were explored according to the deficiency in current research. Research results show that in the passenger-oriented optimization studies, the group passengers are considered a significant factor. The minimum boarding time and boarding interference are used as the objective functions to build relevant models, and the passengers with different priorities and latecomers are often considered in groups. WilMA and RP are two boarding strategies with excellent comprehensive performance, and the new Side-Slip seat has the most significant influence on boarding time. The solution of passenger boarding optimization include model methods and simulation methods, in which models mainly include statistical physical model and mathematical model, and simulations include cellular automata and agents. In terms of the COVID-19 pandemic-oriented boarding studies, the health of passengers is the main consideration, where boarding time and health risks are the two primary indicators to evaluate the quality of passenger boarding. In future studies, the advantages of different boarding strategies should be combined to overcome the shortcomings of different individual strategies. The agent-based simulation with strong independence should be combined with the cellular automata simulation that does not highlight the individual heterogeneity. More factors should be considered in optimization models, and better heuristic algorithms should be explored to solve optimization models. Moreover, the impacts of the factors such as the safe social distance, the number of passengers wearing masks, and the number of group boarding passengers on the process of boarding should be attached more importance. It is also an important research direction to explore how to maximize passenger safety and boarding efficiency under the regular COVID-19 epidemic control. 11 tabs, 4 figs, 142 refs. © 2022 Chang'an University. All rights reserved.
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Objective To explore the application pattern and mechanism of medicine and food homologous traditional Chinese medicine (TCM) against modern viral diseases. Methods The method of literature mining was applied based on the characteristics of modern viral diseases, combining with ancient books and modern prescriptions for the prevention and treatment of viral diseases to build a relevant prescription database. Then SPSS and R language were used to analyze the high-frequency medicine and food homologous TCM and high confidence medicine and food homologous prescriptions in these prescriptions, and cluster analysis was carried out. The antiviral characteristic active ingredients of high-frequency medicinal and food homologous TCN were identified and analyzed, and the action mechanism of active ingredients against modern viral diseases was evaluate by network pharmacology. Results In the prevention and treatment of modern viral diseases, Gancao (Glycyrrhizae Radix et Rhizoma)-Chenpi (Citri Reticulatae Pericarpium)-Fuling (Poria) had the highest confidence, Glycyrrhizae Radix et Rhizoma-Jiegeng (Platycodonis Radix) had the highest support. At the same time, the prescriptions were clustered and analyzed to obtain Jinyinhua (Lonicerae Japonicae Flos)-Huangqi (Astragali Radix)-Huoxiang (Agastache rugosa), Glycyrrhizae Radix et Rhizoma-Xingren (Armeniacae Semen Amarum)-Poria-Platycodonis Radix-Citri Reticulatae Pericarpium, Ganjiang (Zingiberis Rhizoma)-Renshen (Ginseng Radix et Rhizoma), Zisu (Perilla frutescens)-Gegen (Puerariae Lobatae Radix), Lugen (Phragmitis Rhizoma)-Sangye (Mori Folium), Shengjiang (Zingiberis Rhizoma Recens)-Dazao (Jujubae Fructus) clustering new prescription. The core action targets of EGFR, CASP3, VEGFA, STAT3, MMP9, HSP90AA1, mTOR, PTGS2, MMP2, TLR4, MAPK14, etc were identified. The action mechanism involved human cytomegalovirus infection, coronavirus disease-coronavirus disease 2019 (COVID-19), etc. The core action pathway were phosphatidylinositol-3/kinase protein kinase B (PI3K/Akt) signal pathway, mitogen activated protein kinase (MAPK) signal pathway, interleukin-17 (IL-17) signal pathway, Janus kinase/signal transducer and activator of transcription (JAK/STAT) signal pathway, etc. Conclusion Through data mining, six new prescriptions for preventing and controlling modern viral diseases were obtained, and the mechanism of action was preliminarily discussed, which provided some reference for the research and development of medicine and food homologous TCM prescriptions for the prevention and treatment of viral epidemics and related health products.
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The COVID-19 pandemic fully exposed the vulnerability of the global agri-food system to shocks and stresses, highlighting the need for transformation and action to make it more resilient and inclusive. This paper offers a unique insight into the global nature of the COVID-19 pandemic by examining impacts and responses in the agri-food sector within three very distinct contexts, namely the United States, Norway, and China. Focusing on small, diversified farms, the study builds on prior research with the same farmers and support organizations from an on-going collaboration. Firstly, we conducted a short review of policy adaptations to understand how governments, the private sector, non-profit organizations, and communities "stepped up" to provide emergency relief, specialized training, and recovery support for farmers, support that was instrumental in preventing more devastating impacts in all three countries. Secondly, drawing from in-depth interviews with farmers (23) and government and non-governmental support organizations (19), we mapped the vulnerability and resiliency of selected farmers to shocks that severely disrupted traditional supply chains during the COVID-19 pandemic. Data were collected on both the negative and positive impacts of the pandemic to farmer inputs, including labor, operations, and markets, how these changed from the initial lockdowns in early 2020 and through 2021, and on farmer adaptive responses to these impacts. In some contexts, innovation and adaptive responses counteracted negative impacts. We saw diversifying markets, catering to consumer safety concerns, switching to direct and e-markets, hiring in more labor or relying on family labor, and switching to high demand crops and products as the most prominent adaptive responses. Farmers who lacked access to information and government programs, in large part because of language, technology and institutional barriers, missed out on pandemic related opportunities and suffered the most. As we enter the post-pandemic new normal it is important to take stock of lessons learned, and to continue to support those initiatives and innovations that were pivotal not only for weathering the storm, but for building a more inclusive and resilient agri-food system in the long-run.
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Alcoholic beverages play an important role in social gatherings and the consumption of alcohol drinks keep increasing worldwide in recent years, especially during the COVID-19 pandemic months. The authentication of alcoholic beverage is usually evaluated by trained panels or chromatography analysis. Over the last few decades, intelligent sensory technology (IST) that imitate the human sensory organs have been developed for quality control and authentication of alcoholic beverages. The artificial sensing system consist of arrays of sensors with cross-sensitivity and various pattern recognition methods, which can be used to discriminate or classify the samples based on the detection requirements. Application of IST on wine authenticity have been extensively studied, however, application of IST in authentication of other alcoholic beverages lacks of systemic study. This paper firstly describes the basic mechanism of current IST instruments and then summarizes the applications of IST in alcoholic beverages authenticity assessments, including discrimination of varietal and geographical origins, detection of frauds and adulterations, discrimination of years of aging, distinction of brands and types, aroma analysis, detection of spoilage and off-flavors, and monitoring of the production process. The potential applications and future development of IST in the brewing industry are also discussed.
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Objective: To explore the effect of remote "Internet+" interactive management strategy on blood pressure control in patients with hypertension during normalized epidemic prevention and control of COVID-19. Methods: This is a randomized controlled study. A total of 394 patients with hypertension who were treated in Chinese People's Liberation Army General Hospital from October 2019 to December 2020 were randomly divided into experimental group (197 cases) and control group (197 cases). The experimental group adopted remote "Internet+" interaction mode to carry out remote blood pressure intervention, and the control group received traditional blood pressure control mode, and the intervention time was 6 months. Evaluation indicators included blood pressure level, blood pressure lowering speed, time to target blood pressure, blood pressure measurement times, communication times with doctors, medication compliance, blood pressure measurement compliance and disease awareness after 6 months of intervention. The evaluation indexes of the two groups were compared, and the bivariate Pearson correlation analysis was used to explore the relationship between the speed of blood pressure reduction and the times of blood pressure measurement and doctor communication in all patients. Results: A total of 394 patients with hypertension were included in this study, including 209 males, aged (67.6±2.8) years old. After 6 months of intervention, the systolic and diastolic blood pressure of the two groups were both lower than the baseline blood pressure before intervention (both P<0.05), the systolic blood pressure ((125.7±11.7) mmHg (1 mmHg=0.133 kPa) vs. (132.6±12.9) mmHg, P<0.001) and diastolic blood pressure ((72.4±10.7) mmHg vs. (79.8±11.6) mmHg, P<0.001) in the experimental group were lower than those in the control group. The blood pressure reduction speed of the experimental group was faster than that of the control group ((18.63±1.59) mmHg/d vs. (13.26±2.85) mmHg/d, P<0.001), and the time to reach the target blood pressure in the experimental group was shorter than that in the control group ((23.69±2.93) d vs. (47.12±5.81) d, P<0.001). Compared with the control group, the blood pressure measurement times ((0.98±0.13) times/d vs. (0.20±0.40) times/d, P<0.05) and the number of communications with doctors ((0.97±0.16) times/week vs. (0.12±0.32) times/week, P<0.05) were significantly higher in the experimental group. Correlation analysis showed that the speed of blood pressure reduction was positively correlated with the number of blood pressure measurements (r=0.419, P<0.01) and the number of communications with doctors (r=0.857, P<0.01). The proportion of standardized medication (93.91% (185/197) vs. 51.78% (102/197), P<0.001), timely measurement (97.46% (192/197) vs. 47.21% (93/197), P<0.001) and high-degree disease awareness (94.42% (186/197) vs. 49.24% (97/197), P<0.001) were significantly higher in the experimental group than those in the control group. Conclusions: The remote "Internet+" interactive management strategy can effectively improve patients' blood pressure control. The doctor-patient interaction can improve medication compliance and measurement compliance of patients, and help shorten the time to reach the target blood pressure.
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COVID-19 , Epidemics , Hypertension , Aged , Blood Pressure , Humans , Hypertension/prevention & control , Internet , Male , Middle Aged , SARS-CoV-2ABSTRACT
Effective in preventing the spread of Covid-19 though, a long period of home quarantine would also impose a negative impact on the public emotion. Therefore, this study aimed to explore the emotional regulation effect of home exercises. The social media data during Wuhan's lockdown was used to analysis the emotional orientation of the masses. This thesis has conducted data on the subjective emotional status of subjects before and after home exercise from an one-week online experiment, when the regulating effect on emotion from various types of home exercise was quantitatively evaluated in accordance with different emotional weights. The experimental results showed that generally home exercise imposed a positive impact on the regulation of emotion during the epidemic period, while different exercise forms saw their impacts varying. Based on the results and analysis, we suggest that people should embark on the exercise of the second maximum intensity/duration within 10 to 60 minutes/moderate energy consumption for emotion regulation. The experimental results of this study have shown a significance for picking up proper home exercise forms during the epidemic period, as well as the practice of intelligent exercise during home quarantine in the future. © 2021 IEEE.
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Transmissible gastroenteritis virus (TGEV) is a porcine intestinal coronavirus that causes fatal severe watery diarrhea in piglets. The neonatal Fc receptor (FcRn) is the only IgG transport receptor, its expression on mucosal surfaces is triggered upon viral stimulation, which significantly enhances mucosal immunity. We utilized TGEV as a model pathogen to explore the role of FcRn in resisting viral invasion in overall intestinal mucosal immunity. TGEV induced FcRn expression by activating NF-kappaB signaling in porcine small intestinal epithelial (IPEC-J2) cells, however, the underlying mechanisms are unclear. First, using small interfering RNAs, we found that TGEV up-regulated FcRn expression via TLR3, TLR9 and RIG-I. Moreover, TGEV induced IL-1beta, IL-6, IL-8, TGF-beta, and TNF-alpha production. TGF-beta-stimulated IPEC-J2 cells highly up-regulated FcRn expression, while treatment with a JNK-specific inhibitor down-regulated the expression. TGEV nucleocapsid (N) protein also enhanced FcRn promoter activity via the NF-kappaB signaling pathway and its central region (aa 128-252) was essential for FcRn activation. Additionally, N protein-mediated FcRn up-regulation promotes IgG transcytosis. Thus, TGEV N protein and TGF-beta up-regulated FcRn expression, further clarifying the molecular mechanism of up-regulation of FcRn expression by TGEV. © Copyright © 2020 Qian, Gao, Cao, Yang, Cui, Li, Meng, He and Li.
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AIM: To explore the health beliefs of clinical and academic nurses from Japan, Australia and China regarding wearing paper masks to protect themselves and others, and to identify differences in participants' health beliefs regarding masks. BACKGROUND: The correct use of face masks and consensus among health professionals across the globe is essential for containing pandemics, and nurses need to act according to policy to protect themselves, educate the public and preserve resources for frontline health workers. Paper masks are worn by health professionals and the general public to avoid the transmission of respiratory infections, such as COVID-19, but there appear to be differences in health beliefs of nurses within and between countries regarding these. METHODS: This qualitative descriptive study used content analysis with a framework approach. FINDINGS: There were major differences in nurse participants' beliefs between and within countries, including how nurses use paper masks and their understanding of their efficacy. In addition, there were cultural differences in the way that nurses use masks in their daily lives and nursing practice contexts. CONCLUSION: Nurses from different working environments, countries and areas of practice hold a variety of health beliefs about mask wearing at the personal and professional level. IMPLICATIONS FOR NURSING POLICY AND HEALTH POLICY: The COVID-19 pandemic has sparked much discussion about the critical importance of masks for the safety of health professionals, and there has been considerable discussion and disagreement about health policies regarding mask use by the general public. Improper use of masks may have a role in creating mask shortages or transmitting infections. An evidence-based global policy on mask use for respiratory illnesses for health professionals, including nurses, and the general public needs to be adopted and supported by a wide-reaching education campaign.