Cardiometabolic and psychocognitive features of the post-COVID period in patients with atrial fibrillation.

The number of people with long-term consequences of COVID-19 is increasing worldwide. The long-term prognosis for patients remains poorly understood. Objective. To study cardiometabolic and psychocognitive features in comorbid elderly patients with atrial fibrillation (AF), de-pending on the presence of post-COVID syndrome (PCS). Material and methods. The observational analytical cohort study included 223 patients with AF and comorbidity (coronary artery disease, hypertension, obesity, type 2 diabetes mellitus) aged 60-74, who were divided into two groups: group 1 included 123 patients without COVID-19 and group 2 included 110 patients with a history of COVID-19 and the presence of PCS. The study evaluated laboratory and instrumental tests, and a general clinical study assessing psychocognitive disorders using the SPMSQ and HADS questionnaires was conducted. Results and discussion. In COVID-19 survivors, compared with patients of group 1, there were more pronounced atherogenic changes in total cholesterol (TC) (p=0.003), low-density lipoprotein cholesterol (p<0.001), and triglycerides (p=0.011). Lower dia-stolic blood pressure was found in COVID-19 survivors (p<0.001). In addition, patients in group 2 had higher median pulse pressure (p<0.001) and heart rate (p<0.001). In group 2 patients, a larger ascending aorta diameter was observed (p<0.001). The anx-iety-depressive syndrome was more common in COVID-19 survivors with comorbidities, and a statistically significant difference was found in clinical anxiety (24%, p=0.041) and subclinical depression (21%, p=0.015). When assessing cognitive function, mod-erate cognitive impairment was detected in 22% (p=0.005) of patients with PCS and severe cognitive impairment in 2% (p=0.007). Conclusion. In comorbid elderly patients with the post-COVID syndrome, a high prevalence of psychocognitive disorders and adverse cardiometabolic changes were observed, supporting the need for long-term monitoring of the general clinical condition and psychocognitive status of COVID-19 survivors.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.

Pre-hospital Management of COVID-19: Looking for a Future Perspective

Acute severe symptoms and long-term sequelae caused by the novel coronavirus disease (COVID-19) are still major concerns for public health. In particular, it is an emerging need to prevent the overburn of health workers as well as the collapse of health care systems. To reach this purpose, it should be necessary to evaluate a standardized pre-hospital management for COVID-19 patients, but data about it are lacking. Thus, the aim of the present chapter is to analyze the in-hospital gesture hypothesizing its reproducibility at bedside.Meta-analyses and randomized clinical trials assessed were focused on the following topics: (1) early diagnosis through viral demonstration and serological testing;(2) home setting evaluation;(3) standardized multidimensional assessment of COVID-19 patients, including an early identification of specific clinical symptoms as well as a prognostic stratification through laboratory biomarkers and portable imaging techniques;(4) safe and easily administrable drugs, considering both new medications and repurposed molecules;(5) protocols regarding bedside oxygen therapy, prone positioning, and pulmonary rehabilitation.To date, several procedures for the in-hospital management of COVID-19 patients could be easily and safely applied in the outpatients' care. The institution of dedicated international open-access data banks could be useful to realize standardized pre-hospital protocols, and the implementation of remote approaches could provide the possibility to guarantee a continuous follow-up for these patients. Global efforts focused on this goal could represent the only way to decrease the pressure on health care systems and to restore their essential function, still allowing an effective management of mild-to-moderate COVID-19 stages. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Rapid, sensitive detection of intact SARS-CoV-2 using DNA nets and a smartphone-linked fluorimeter

We report a single-step, room-temperature, 5-10 minute SARS-CoV-2 saliva self-monitoring method that overcomes the limitations of existing approaches through the use of fluorophore-releasing Designer DNA Nanostructures (DDNs) that bind with the multivalent pattern of spike proteins on the exterior intact virions and an inexpensive smartphone-linked, pocket-size fluorimeter, called a "V-Pod” for its resemblance to an Apple AirPod™ headphone case. We characterize the V-Pod fluorimeter performance and the DDN-based assay to demonstrate a clinically relevant detection limit of 104 virus particles/mL for pseudo-typed WT SARS-CoV-2 and 105 virus particles/mL for real pathogenic variants, including Delta, Omicron, and D614g. © 2023 SPIE.

Technological Devices and Digital Competences: A Look into the Digital Divides for University Continuity during the COVID-19 Pandemic

Virtual education has gained great relevance in recent years, due to the pandemic. The access to electronic devices and services represents an urgent necessity and thus the concern for acquiring digital competences, which allow a proper interaction within the teaching–learning process. Recent studies have demonstrated the importance of having digital resources and the adaptability of their use from the university students' homes during the pandemic crisis. This research intends to identify the relevant challenges regarding the accessibility to technological devices and digital competences that university students had to face to obtain suitable learning during the lockdown, due to the pandemic. The sample information consisted of 9326 Peruvian university students. The data was obtained from the National Homes Survey from the Statistics and Information National Institute, and it was distributed in twenty-five regions (in groups of five macro-regions) over a period of three years (2019–2021). The results showed significant differences in the number of students with internet access from home: between 40% and 60% access classes with a desktop or laptop, and digital competences have improved in the last year. This is evidence that digital divides set limits on the opportunities for a quality education.

Assessing the effectiveness of portable HEPA air cleaners for reducing particulate matter exposure in King County, Washington homeless shelters: Implications for community congregate settings.

Over four thousand portable air cleaners (PACs) with high-efficiency particulate air (HEPA) filters were distributed by Public Health - Seattle & King County to homeless shelters during the COVID-19 pandemic. This study aimed to evaluate the real-world effectiveness of these HEPA PACs in reducing indoor particles and understand the factors that affect their use in homeless shelters. Four rooms across three homeless shelters with varying geographic locations and operating conditions were enrolled in this study. At each shelter, multiple PACs were deployed based on the room volume and PAC's clean air delivery rate rating. The energy consumption of these PACs was measured using energy data loggers at 1-min intervals to allow tracking of their use and fan speed for three two-week sampling rounds, separated by single-week gaps, between February and April 2022. Total optical particle number concentration (OPNC) was measured at 2-min intervals at multiple indoor locations and an outdoor ambient location. The empirical indoor and outdoor total OPNC were compared for each site. Additionally, linear mixed-effects regression models (LMERs) were used to assess the relationship between PAC use time and indoor/outdoor total OPNC ratios (I/OOPNC). Based on the LMER models, a 10 % increase in the hourly, daily, and total time PACs were used significantly reduced I/OOPNC by 0.034 [95 % CI: 0.028, 0.040; p < 0.001], 0.051 [95 % CI: 0.020, 0.078; p < 0.001], and 0.252 [95 % CI: 0.150, 0.328; p < 0.001], respectively, indicating that keeping PACs on resulted in significantly lower I/OOPNC. The survey suggested that keeping PACs on and running was the main challenge when operating them in shelters. These findings suggested that HEPA PACs were an effective short-term strategy to reduce indoor particle levels in community congregate living settings during non-wildfire seasons and the need for formulating practical guidance for using them in such an environment.

Presence of SARS-CoV-2 in HEPA Filters of Portable Air Cleaners

A method for determining the presence of SARS-CoV-2 RNA in HEPA filters from portable air cleaners (PACs) have been developed and validated. Herein, a monitoring survey was conducted for 13 weeks in three indoor environments, school, nursery and a household of a socio-sanitary center in Ciudad Real, Spain. In this study, we employed environmental monitoring by RT-PCR of the presence of SARS-CoV-2 in HEPA filters and other surfaces of these indoor spaces for a selective screening in asymptomatic population groups. The aim was to limit outbreaks in an early stage. Only one HEPA filter tested positive in the socio-sanitary center. After analysis by RT-PCR of SARS-CoV-2 in residents and healthcare workers, one worker tested positive. Therefore, this study provides direct evidence of virus-containing aerosols trapped in HEPA filters and the possibility of using these PACs for environmental monitoring of SARS-CoV-2 while they remove airborne aerosols and trap the virus. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

Cardiometabolic and psychocognitive features of the post-COVID period in patients with atrial fibrillation

The number of people with long-term consequences of COVID-19 is increasing worldwide. The long-term prognosis for patients remains poorly understood. Objective. To study cardiometabolic and psychocognitive features in comorbid elderly patients with atrial fibrillation (AF), de-pending on the presence of post-COVID syndrome (PCS). Material and methods. The observational analytical cohort study included 223 patients with AF and comorbidity (coronary artery disease, hypertension, obesity, type 2 diabetes mellitus) aged 60-74, who were divided into two groups: group 1 included 123 patients without COVID-19 and group 2 included 110 patients with a history of COVID-19 and the presence of PCS. The study evaluated laboratory and instrumental tests, and a general clinical study assessing psychocognitive disorders using the SPMSQ and HADS questionnaires was conducted. Results and discussion. In COVID-19 survivors, compared with patients of group 1, there were more pronounced atherogenic changes in total cholesterol (TC) (p=0.003), low-density lipoprotein cholesterol (p<0.001), and triglycerides (p=0.011). Lower dia-stolic blood pressure was found in COVID-19 survivors (p<0.001). In addition, patients in group 2 had higher median pulse pressure (p<0.001) and heart rate (p<0.001). In group 2 patients, a larger ascending aorta diameter was observed (p<0.001). The anx-iety-depressive syndrome was more common in COVID-19 survivors with comorbidities, and a statistically significant difference was found in clinical anxiety (24%, p=0.041) and subclinical depression (21%, p=0.015). When assessing cognitive function, mod-erate cognitive impairment was detected in 22% (p=0.005) of patients with PCS and severe cognitive impairment in 2% (p=0.007). Conclusion. In comorbid elderly patients with the post-COVID syndrome, a high prevalence of psychocognitive disorders and adverse cardiometabolic changes were observed, supporting the need for long-term monitoring of the general clinical condition and psychocognitive status of COVID-19 survivors.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.

Managing indoor air quality in nursery and primary schools with low-cost solutions

This study aimed to evaluate the feasibility of using low-cost solutions to monitor and mitigate PM2.5 and PM10 concentrations in nursery and primary schools in Porto (Portugal). Three periods were considered: i) early 2020 (before COVID-19 pandemic), ii) early 2021 (during COVID-19 pandemic, with mitigation measures to prevent SARS-CoV-2 spread);and iii) in the middle of 2021 (additionally using a low-cost portable air cleaner). PM2.5 and PM10 were continuously monitored with a low-cost sensing device for at least two consecutive days in five classrooms. In general, the lowest PM concentrations were observed in the third period. Concentrations reduced up to 63% from the second to the third period. The application of low-cost solutions for monitoring and mitigating PM levels seems to be an effective tool for managing indoor air in schools. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

"Cardioxy" - A Novel and Portable Instrumentation Amplifier based and IoT enabled ECG device

During the COVID-19 pandemic the healthcare facilities all over world collapsed due to shortage of essential biomedical devices. ECG devices are one of those crucial instruments required for tracing electrical activities of heart. Due to the high cost of gold standard ECG devices used in the medical industries, the availability of on-demand ECG devices was not accessible to everyone. Thus, the need of portable, low cost, on-demand ECG device was needful at the earliest. In this paper we propose a novel, versatile, 3-lead, IoT enabled, LM324/LM741 operational amplifiers in instrumentation amplifier configuration Electrocardiogram machine that is aimed towards providing accurate information about the electrical activity of our heart in real time. In this attempt, we have come up with an analogue circuit design consisting of multiple operational amplifier IC based fundamental circuit blocks. The prototype is designed in such a way that the output of ECG can be visualised worldwide using IoT. © 2023 IEEE.

Recent advances on CRISPR/Cas system-enabled portable detection devices for on-site agri-food safety assay

Agri-food safety has been considered as one of the most important public concerns worldwide. From farm to table, food crops and foods are extremely vulnerable to the contamination by a variety of pollutants from their growth and processing. Moreover, the SARS-CoV-2 detected in the food supply chain during COVID-19 pandemic has posed a greater challenge for rapid and on-site detection of agri-food contaminants in complex and volatile environments. Therefore, the development of rapid, accurate, and on-site detection technologies and portable detection devices is of great importance to ensure the agri-food security. This review comprehensively summarized the recent advances on the construction of CRISPR/Cas systems-based biosensing technologies and their portable detection devices, as well as their promising applications in the field of agri-food safety. First of all, the classification and working principles of CRISPR/Cas systems were introduced. Then, the latest advances on the CRISPR/Cas system-based on-site detection technologies and portable detection devices were also systematically summarized. Most importantly, the state-of-the-art applications of CRISPR/Cas systems-based on-site detection technologies and portable detection devices in the fields of agri-food safety were comprehensively summarized. Impressively, the future opportunities and challenges in this emerging and promising field were proposed. Emerging CRISPR/Cas system-based on-site detection technologies have showed a great potential in the detection of agri-food safety. Impressively, the integration of CRISPR/Cas systems-based biosensing technologies with portable detection devices (e.g., nanopore-based detection devices, lateral flow assay, smartphone-based detection devices, and microfluidic devices) is very promising for the on-site detection of agri-food contaminants. Additionally, CRISPR/Cas system-based biosensing technologies can be further integrated with much more innovative technologies for the development of novel detection platforms to realize the more reliable on-site detection of agri-food safety.

Sustainability of Heritage Villages through Eco-Tourism Investment (Case Study: Al-Khabra Village, Saudi Arabia)

This study explores the reasons for the failure to sustain the rehabilitation of Al-Khabra as a heritage village for tourism. Despite the rehabilitation activities since 2007 and the comprehensive plans for the development, protection, and operation of the village, tourism activities are limited due to the restricted availability of qualified buildings, infrastructure, and services. This has made the investment in the village economically unviable. This study aims to propose sustainability strategies for heritage villages by investing in eco-tourism. This study used a qualitative descriptive approach by analyzing the rehabilitation experience through available reports and studies, field observations, and interviews. A holistic and environmental approach was proposed based on the integration of cultural and environmental elements to promote eco-tourism in the village. This study recommends the development of national policies that regulate the preservation of local resources and biodiversity within an integrated framework that enhances the unique environmental advantages of the village and encourages investment in it.

Use of artificial intelligence for point-of-care echocardiographic assessment of left ventricular ejection fraction among COVID-19 patients

Background: The association between COVID-19 infection and the cardiovascular system has been well described. Isolation precautions limit the use of formal echocardiography in this setting. Artificial intelligence (AI) utilization using a hand-held device in these patients can be a reliable tool for left ventricular ejection fraction (LVEF) assessment. Aim(s): To prospectively investigate the accuracy of AI-base tool for LVEF assessment using a hand-held echocardiogram in patients with COVID-19. Method(s): From April-28 through July-26, 2020, consecutive patients with COVID-19 underwent a real-time LVEF assessment within 48-h of admission using a hand-held echocardiogram evaluation (Vscan Extend) equipped with LVivoEF, an AI-based tool that automatically evaluates LVEF. The examinations were further analyzed off-line by a blinded fellowshiptrained echocardiographer for LVEF as a gold standard. Result(s): Among 42 patients, 21 (50%) were male (aged 53.3+/-17.8 years, mean BMI 27.6+/-5.1 kg/m2). Seven (16.7%) patients couldn't turn on their left side and three (7.1%) couldn't maintain effective communication. The mean length of each echocardiogram study was 6.8+/-2.2 minutes, battery usage was 13.4+/-4.9%, and mean operator-to-patient proximity was 64.5+/-9.3 cm. A fair to good correlation was demonstrated between the AI and the echocardiographer LVEF assessment (Pearson's correlation of 0.691, p<0.001). An almost perfect agreement was demonstrated between the AI and the echocardiographer for LVEF using a threshold of 45% (kappa=0.806, p<0.001). The sensitivity of focused echocardiogram for 45% LVEF threshold is 85.7%, specificity is 97.1% with a PPV of 85.7% and NPV of 97.1%. Conclusion(s): An AI-based algorithm incorporated into an existing handheld echocardiogram device can be reliably utilized as a decision support tool for automatic real-time LVEF assessment among COVID-19 patients.

Mobile Technology as an Alternative Teaching Strategy Amidst COVID-19 Hiatus: Exploring Pedagogical Possibilities and Implications for Teacher Development

Amidst the COVID-19 pandemic, the education sector worldwide had to adapt rapidly from in-person to virtual modes of teaching and learning to mitigate the spread of the virus. In a short period of time, teachers were forced to find new and innovative ways of delivering education to their students to ensure the continuation of education. In this context, this paper investigates how teachers in Pakistan leveraged mobile technology as an alternative teaching strategy to provide access to and to ensure the continuation of education. Through in-depth interviews with 13 selected teachers, this study explores the potential of mobile technology to offer alternative teaching and learning arenas. The findings underscore the importance of embracing new pedagogical possibilities offered by mobile technology and the significance of effective teacher professional development in the post-pandemic era. This study provides valuable insights into the utilization of mobile technology in the education sector, even in the most challenging circumstances, and highlights the potential for mobile learning to contribute to education reform.

Improving ransomware detection based on portable executable header using xception convolutional neural network

All malware are harmful to computer systems;however, crypto-ransomware specifically leads to irreparable data loss and causes substantial economic prejudice. Ransomware attacks increased significantly during the COVID-19 pandemic, and because of its high profitability, this growth will likely persist. To respond to these attacks, we apply static analysis to detect ransomware by converting Portable Executable (PE) header files into color images in a sequential vector pattern and classifying these via Xception Convolutional Neural Network (CNN) model without transfer learning, which we call Xception ColSeq. This approach simplifies feature extraction, reduces processing load, and is more resilient against evasion techniques and ransomware evolution. The proposed method was evaluated using two datasets. The first contains 1000 ransomware and 1000 benign applications, on which the model achieved an accuracy of 93.73%, precision of 92.95%, recall of 94.64%, and F-measure of 93.75%. The second dataset, which we created and have made available, contains 1023 ransomware, grouped in 25 still active and relevant families, and 1134 benign applications, on which the proposed method achieved an accuracy of 98.20%, precision of 97.50%, recall of 98.76%, and F-measure of 98.12%. Furthermore, we refined a testing methodology for a particular case of zero-day ransomware attacks detection—the detection of new ransomware families—by adding an adequate amount of randomly selected benign applications to the test set, providing representative evaluation performance metrics. These results represent an improvement over the performance of the current methods reported in the literature. Our advantageous approach can be applied as a technique for ransomware detection to protect computer systems from cyber threats. © 2023 Elsevier Ltd

Real world evidence from a Breast Screening pilot for the underprivileged: Experiences from Bruhat Bengaluru Mahanagara Palike hospitals

Background: In India, less than 5% of women get routine screening for breast cancer due to lack of awareness and the absence of a coordinated national breast cancer screening programme. A community health initiative was launched by Niramai in collaboration with City Health officials in Bangalore as a pilot to increase awareness and make breast health screening available to all. Free breast cancer screening using AI powered Thermalytix test is being offered to all the underprivileged women walking into Bruhat Bengaluru Mahanagara Palike (BBMP) government hospitals from November 14, 2017 till today (after a break for 15 months during COVID). Material(s) and Method(s): This observational study was conducted in 22 BBMP-affiliated primary health centers where outpatient women over the age of 18 years and not pregnant were enrolled. The procedure included a briefing on camp procedures, taking patient consent, identification of eligible candidates, general health education, and conducting the Thermalytix test by a healthcare worker who was trained to use the Thermalytix software tool. Women were triaged using the output generated by Thermalytix 180. Those triaged as red were referred for further detailed imaging investigation in a district hospital using mammography, ultrasound and FNAC/biopsy. Result(s): A total of 6935 women underwent Thermalytix screening in 22 BBMP hospitals during Nov 2017 to July 2022. A total of 1687 participants were excluded from the analysis as they did not meet the eligibility criteria. The median age of the 5248 eligible participants was 42 years (range 18-86). Among them, 90 women (1.71%) had previously noticed a lump in their breast, 431 women (8.12%) had breast pain, 16 women had complained of nipple discharge, and 5 women had noticed skin discoloration. When screened, 62 (1.2%) women were detected with abnormalities and triaged positive by Thermalytix. Among them 11 women have so far gone through diagnostic investigations, of which 8 were radiologically positive and were recommended for histopathology correlation. The overall test positivity rate of Thermalytix in this cohort was 1.2% and positive predictive value with radiological positivity as reference was found to be 9/11 = 81.81%. Furhter histological analysis reported 1 DCIS and 8 benign fibroadenoma. The tests were conducted in screening camps and the average cost of conducting the test in the field came to around 6.5 USD per person. Conclusion(s): Thermalytix could be a potential automated screening tool for population-level screening in resource constrained settings. The portable equipment enabled easy movement across different PHCs. Since it is a privacy-aware test, there was less refusal to participate in the test. Community mobilization with the help of the local government health officials was crucial to ensure walk-ins. Conflict of interest: Ownership: yes Board of Directors: yes Corporate-sponsored Research: yesCopyright © 2022 Elsevier Ltd. All rights reserved

Factors of persistent limited exercise tolerance in patients after COVID-19 with normal left ventricular ejection fraction

Background: Exercise intolerance de novo is one of the most common reported symptoms in patients (pts) recovering from COVID-19. Purpose(s): The present study determines etiological and pathophysiological factors influencing the mechanism of exercise intolerance in the COVID-19 survivors. Therefore, the factors affecting percent predicted oxygen uptake at peak exercise VO2 (%VO2pred) in pts after COVID-19 with normal left ventricular ejection fraction were assessed. Methods and Results: The 120 consecutive patients from the Department of Cardiology recovering from COVID-19 at three to six months after confirmed diagnosis were included. The clinical examinations, laboratory test results, echocardiography using Vivid E95 - GE Healthcare, non-invasive body mass analysis using Body Composition Analyzer (Tanita Pro), and spiroergometry using The MetaSoft Studio application were analysed. The subjects were divided into the two following groups: Study i.e. pts with worse oxygen uptake (%VO2pred <80%;N=47) and control including these cases with %VO2pred >=80% (N=73) - Table 1. Pts with %VO2pred <80% presented significantly lower global peak systolic strain (GLPS) [p=0.03], tricuspid annular plane systolic excursion (TAPSE) [p=0.002] and late diastolic filling velocity (A) [p=0.004] compared to controls - Figure 1. The male gender (p=0.007) and the percent of total body water content (TBW %) (p=0.02) were significantly higher in study in comparison to the control group. The results of multiple logistic regression model independently associated with %VO2pred were as follows: A (OR 0.4, 95% CI: 0.17-0.95;p=0.03) and gender (OR 2.52, 95% CI: 1.07-5.91;p=0.03). Conclusion(s): Males have over twice risk of persistent limited exercise tolerance after COVID-19 infection than females. The lower late diastolic filling velocity, tricuspid annular plane systolic excursion, worse global peak systolic strain, and hydration status are connected with limited exercise tolerance after COVID-19 in patients with normal left ventricular ejection fraction.

Multi-objective optimization of mechanical ventilation with the aid of purifiers in two scenarios: Regular operation and mitigating the spread of respiratory infectious diseases.

COVID-19 and its impact on society have raised concerns about scaling up mechanical ventilation (MV) systems and the energy consequences. This paper attempted to combine MV and portable air cleaners (PACs) to achieve acceptable indoor air quality (IAQ) and energy reduction in two scenarios: regular operation and mitigating the spread of respiratory infectious diseases (RIDs). We proposed a multi-objective optimization method that combined the NSGA-II and TOPSIS techniques to determine the total equivalent ventilation rate of the MV-PAC system in both scenarios. The concentrations of PM2.5 and CO2 were primary indicators for IAQ. The modified Wells-Riley equation was adopted to predict RID transmissions. An open office with an MV-PAC system was used to demonstrate the method's applicability. Meanwhile, a field study was conducted to validate the method and evaluate occupants' perceptions of the MV-PAC system. Results showed that optimal solutions of the combined system can be obtained based on various IAQ requirements, seasons, outdoor conditions, etc. For regular operation, PACs were generally prioritized to maintain IAQ while reducing energy consumption even when outdoor PM2.5 concentration was high. MV can remain constant or be reduced at low occupancies. In RID scenarios, it is possible to mitigate transmissions when the quanta were < 48 h-1. No significant difference was found in the subjective perception of the MV and PACs. Moreover, the effects of infiltration on the optimal solution can be substantial. Nonetheless, our results suggested that an MV-PAC system can replace the MV system for offices for daily use and RID mitigation. Electronic Supplementary Material ESM: The Appendix is available in the online version of this article at 10.1007/s12273-023-0999-z.

Portable Surface Plasmon Resonance Detector for COVID-19 Infection.

Methods based on nucleic acid detection are currently the most commonly used technique in COVID-19 diagnostics. Although generally considered adequate, these methods are characterised by quite a long time-to-result and the necessity to prepare the material taken from the examined person-RNA isolation. For this reason, new detection methods are being sought, especially those characterised by the high speed of the analysis process from the moment of sampling to the result. Currently, serological methods of detecting antibodies against the virus in the patient's blood plasma have attracted much attention. Although they are less precise in determining the current infection, such methods shorten the analysis time to several minutes, making it possible to consider them a promising method for screening tests in people with suspected infection. The described study investigated the feasibility of a surface plasmon resonance (SPR)-based detection system for on-site COVID-19 diagnostics. A simple-to-use portable device was proposed for the fast detection of anti-SARS-CoV-2 antibodies in human plasma. SARS-CoV-2-positive and -negative patient blood plasma samples were investigated and compared with the ELISA test. The receptor-binding domain (RBD) of spike protein from SARS-CoV-2 was selected as a binding molecule for the study. Then, the process of antibody detection using this peptide was examined under laboratory conditions on a commercially available SPR device. The portable device was prepared and tested on plasma samples from humans. The results were compared with those obtained in the same patients using the reference diagnostic method. The detection system is effective in the detection of anti-SARS-CoV-2 with the detection limit of 40 ng/mL. It was shown that it is a portable device that can correctly examine human plasma samples within a 10 min timeframe.

Portable Chest Radiograph: A Boon for Critically Ill Patients With COVID-19 Pneumonia.

OBJECTIVE: In the present study, we evaluated the role of portable chest radiographs in critically ill patients with COVID-19 pneumonia in whom computed tomography (CT) of the chest was not feasible. METHODS: A retrospective chest X-ray study of patients under investigation for COVID-19 was performed in our dedicated COVID hospital (DCH) during the exponential growth phase of the COVID-19 outbreak (August-October, 2020). A total of 562 on-bed chest radiographs were examined comprising 289 patients (critically ill who couldn't be mobilized for CT) along with positive reverse transcription-polymerase chain reaction (RT-PCR) tests. We categorized each chest radiograph as progressive, with changes, or improvement in appearance for COVID-19, utilizing well-documented COVID-19 imaging patterns. RESULTS:  In our study, portable radiographs provided optimum image quality for diagnosing pneumonia, in critically ill patients. Although less informative than CT, nevertheless radiographs detected serious complications like pneumothorax or lung cavitation and estimated the evolution of pneumonia. CONCLUSION: A portable chest X-ray is a simple but reliable alternative for critically ill SARS-CoV-2 patients who could not undergo chest CT. With the help of portable chest radiographs, we could monitor the severity of the disease as well as different complications with minimal radiation exposure which would help in identifying the prognosis of the patient and thus help in medical management.

Smart and Portable IoT Drug Dispensing System for Elderly and Disabled Person

The necessity of modern intensive care units (ICU) based on IoT is becoming obvious as a result of the population boom and, most notably, coronavirus disease (COVID-19). The continual monitoring of patients' vital indicators (Blood Pressure, ECG, Heart Rate, Blood Saturation, Body Temperature) is one of the most important aspects of an ICU. Existing improvements in informatics, signal processing, or engineering, which potentially reduce the pressure on ICUs, have yet to be implemented. It's possible due to a lack of user participation in research and development. This manuscript focuses on the improvement of a completely integrated system where the doctors can directly connect to patients through the Smart Portable ICU, and physicians can access the patients. Thus, the crucial boundaries of a patient to the concerned specialist at a far-off position have been resolved simply and helpfully. Thus, the specialist can attend to the patient remotely and infuse lifesaving drugs from the distant area if necessary. © 2022 IEEE.