Enterovirus-Human-Rhinovirus Infection Leading to Acute Respiratory Distress Syndrome: A Case Report.

Enterovirus-human-rhinovirus (EV-HRV) is best known to cause the "common cold" and asthma exacerbations. Simple bronchitis and community-acquired pneumonia related to EV-HRV are also well documented. Scattered reports of rhinovirus causing acute respiratory distress syndrome (ARDS) have been published, yet the causality between recent SARS-CoV-2 pneumonia and severe ARDS secondary to EV-HRV has not been well defined. This case presents a 67-year-old male who was unvaccinated against SARS-CoV-2 with a past medical history of chronic obstructive pulmonary disease, who recently experienced a mild-to-moderate case of SARS-CoV-2 pneumonia, which was treated with dexamethasone and remdesivir. He was discharged to an inpatient psychiatric facility on as-needed oxygen via nasal cannula. Three weeks later, he experienced an episode of presyncope and was readmitted to the hospital. He then began to require increasing levels of supplemental oxygen via a high-flow nasal cannula. A real-time polymerase chain reaction respiratory pathogen panel was positive for EV-HRV. Computed tomography of the chest revealed extensive ground-glass opacities. Further workup for bacterial and fungal pneumonia was negative. Repeat SARS-CoV-2 testing was also negative. He required several days of supplemental oxygen via a high-flow nasal cannula. He received a short course of broad-spectrum antibiotics and a 10-day course of high-dose dexamethasone. Ultimately, he fully recovered, did not require further supplemental oxygen, and was discharged on room air.

Deployment of Wireless Sensor Network and IoT Platform to Implement an Intelligent Animal Monitoring System

This study aimed to realize Sustainable Development Goals (SDGs), i.e., no poverty, zero hunger, and sustainable cities and communities through the implementation of an intelligent cattle-monitoring system to enhance dairy production. Livestock industries in developing countries lack the technology that can directly impact meat and dairy products, where human resources are a major factor. This study proposed a novel, cost-effective, smart dairy-monitoring system by implementing intelligent wireless sensor nodes, the Internet of Things (IoT), and a Node-Micro controller Unit (Node-MCU). The proposed system comprises three modules, including an intelligent environmental parameter regularization system, a cow collar (equipped with a temperature sensor, a GPS module to locate the animal, and a stethoscope to update the heart rate), and an automatic water-filling unit for drinking water. Furthermore, a novel IoT-based front end has been developed to take data from prescribed modules and maintain a separate database for further analysis. The presented Wireless Sensor Nodes (WSNs) can intelligently determine the case of any instability in environmental parameters. Moreover, the cow collar is designed to obtain precise values of the temperature, heart rate, and accurate location of the animal. Additionally, auto-notification to the concerned party is a valuable addition developed in the cow collar design. It employed a plug-and-play design to provide ease in implementation. Moreover, automation reduces human intervention, hence labor costs are decreased when a farm has hundreds of animals. The proposed system also increases the production of dairy and meat products by improving animal health via the regularization of the environment and automated food and watering. The current study represents a comprehensive comparative analysis of the proposed implementation with the existing systems that validate the novelty of this work. This implementation can be further stretched for other applications, i.e., smart monitoring of zoo animals and poultry.

Long-term adverse events of three COVID-19 vaccines as reported by vaccinated physicians and dentists, a study from Jordan and Saudi Arabia.

Assessment of safety of COVID-19 vaccines is an ongoing process. This study aims to explore long-term adverse events reported by physicians and dentists who received at least two COVID-19 vaccine doses. A group of physicians and dentists were invited to complete a validated questionnaire that was composed of items on: socio-demographics, medical history, administered vaccines, and long-term adverse events (LTAE). Data of a total of 498 practitioners were included. Age ranged from 22 to 71 years (mean age= 35.75 ± 11.74) with a female majority (N = 348, 69.9%). The most frequently administered vaccines were Pfizer-BioNtech, Sinopharm and AstraZeneca vaccines. A total of 80 (16.0%) participants reported LTAEs which were mainly fatigue, menstrual disturbances, myalgia, arthralgia, dizziness, and headache (N = 32, 15, 8, 6, 4, and 4, respectively). There was no statistically significant association between LTAEs and: age, gender, or medical history (P > .05). The collective symptoms of fatigue, myalgia, arthralgia, dizziness, and headache were significantly associated with Sinopharm vaccine (P = .04). This was further confirmed by general linear multivariate model analysis. Less than 20% of COVID-19 vaccine recipients may complain of LTAEs that are mostly fatigue-related. It seems that factors such as age, gender, and medical status play a negligible role in development of these AEs. On the other hand, Sinopharm vaccine showed the highest significant association with these AEs followed by AstraZeneca vaccine.

WITHDRAWN: Mechanical ventilation in COVID-19: Is it due to patient or virology factors?

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