Emotional disturbance and risk factors among COVID-19 confirmed cases in isolation hotels.

Patients with coronavirus disease 2019 (COVID-19) has been isolated in hospital-managed isolation hotels under a policy of the Taiwan government. Centrally isolation patients are more likely to experience psychological symptoms. The purpose of the study was to investigate emotional disturbance during their isolation period and then pinpoint the factors during their isolation period associated with the emotional disturbance. We retrospectively analysed the medical charts of the patients confined to a Banqiao isolation hotel between May 28 and July 3, 2021. The 5-item brief symptom rating scale (BSRS-5) was used to evaluate emotional disturbance levels. Descriptive and logistic regression was used for the data analysis. In total, 197 complete medical records were reviewed, and of these 84 (42.6%) showed emotional disturbance. The majority of them reported only minor disturbance (n = 49, 58.3%). After controlling for confounding factors, being satisfied about medical information was the only protective factor associated with emotional disturbance (OR = 0.2, P = 0.018). Being a male patient (OR = 3.0, P = 0.005), worrying about stigmatization (OR = 2.2, P = 0.041) and being unable to contact family members (OR = 2.9, P = 0.018) increased the risk of experiencing emotional disturbance. Patients with clinical symptoms, namely sore throat (OR = 3.4, P = 0.013) and muscle aches (OR = 6.3, P = 0.005), were also found to be more likely to report emotional disturbance. Mental disturbance commonly occurs among patient with COVID-19 who are isolated in a hospital-managed hotel. Being a male patient, having symptoms, namely a sore throat and muscle pain, being unable to contact family and/or a failure to receive sufficient medical information were found to be associated with emotional disturbance. In order to help isolated patients, government officials should provide a clear rationale for isolation and recognize the patients' efforts to follow the government's policy, which will help to minimize social stigma.

G Protein-Coupled Purinergic P2Y Receptor Oligomerization: Pharmacological Changes and Dynamic Regulation (preprint)

P2Y receptors (P2YRs), a δ group of rhodopsin-like G protein-coupled receptors (GPCRs), have many essential functions in physiology and pathology, such as platelet aggregation, immune responses, neuroprotective effects, inflammation, and cellular proliferation; thus, they are among the most researched therapeutic targets for use in the clinical treatment of diseases (e.g., clopidogrel, an antithrombotic drug, and Prolacria, a treatment for dry eye). Over the past two decades, GPCRs have been revealed to transmit signals as dimers to increase the diversity of signalling pathways or pharmacological activities. Many studies have frequently confirmed dimerization between P2YRs and other GPCRs due to their functions in cardiovascular and cerebrovascular processes in vivo and in vitro. Recently, some P2YR dimers that dynamically balance physiological functions in the body were shown to be involved in effective signal transduction and exert pathological pharmacological effects. In this review, we summarize the types, pharmacological changes, and active regulators of P2YR-related dimerization. In summary, our review delineates that P2YR-related dimers have new functions and pharmacological activities and maybe a novel direction to improve the effectiveness of medications such as thrombotic events associated with COVID-19.

Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo (preprint)

With the rapid development of COVID-19 around the world, people are requested to maintain "social distance" and "stay at home". In this scenario, extensive social interactions transfer to cyberspace, especially on social media platforms like Twitter and Sina Weibo. People generate posts to share information, express opinions and seek help during the pandemic outbreak, and these kinds of data on social media are valuable for studies to prevent COVID-19 transmissions, such as early warning and outbreaks detection. Therefore, in this paper, we release a novel and fine-grained large-scale COVID-19 social media dataset collected from Sina Weibo, named Weibo-COV, contains more than 40 million posts ranging from December 1, 2019 to April 30, 2020. Moreover, this dataset includes comprehensive information nuggets like post-level information, interactive information, location information, and repost network. We hope this dataset can promote studies of COVID-19 from multiple perspectives and enable better and rapid researches to suppress the spread of this pandemic.

COVID-19 with acute cerebral infarction: one case report / 中华神经科杂志

COVID-19 is caused by the 2019 novel coronavirus, which is characterized by hidden onset, long incubation period, and high contagion. The study found that the COVID-19 not only attacks the respiratory system, but also affects other systems such as the heart, kidney, and digestive tract, and could be combined with multiple system diseases such as acute cerebrovascular disease. If doctors, especially non-infective or respiratory doctors, do not pay great attention to the patient when they are receiving patients, and take good care of them, they may easily cause their own infection. This article summarizes the case of a concealed onset COVID-19 patient with cerebral infarction, which caused a medical staff infection after intravenous thrombolytic therapy, explores its clinical characteristics, treatment process and analyzes its prevention and control links to help the epidemic situation. In the prevention and control, the first-time doctor should pay attention to identification, reduce missed diagnosis, and scientific investigation to reduce occupational infection.

Neurological Manifestations of Hospitalized Patients with COVID-19 in Wuhan, China: a retrospective case series study (preprint)

OBJECTIVE: To study the neurological manifestations of patients with coronavirus disease 2019 (COVID-19). DESIGN: Retrospective case series SETTING: Three designated COVID-19 care hospitals of the Union Hospital of Huazhong University of Science and Technology in Wuhan, China. PARTICIPANTS: Two hundred fourteen hospitalized patients with laboratory confirmed diagnosis of severe acute respiratory syndrome from coronavirus 2 (SARS-CoV-2) infection. Data were collected from 16 January 2020 to 19 February 2020. MAIN OUTCOME MEASURES: Clinical data were extracted from electronic medical records and reviewed by a trained team of physicians. Neurological symptoms fall into three categories: central nervous system (CNS) symptoms or diseases (headache, dizziness, impaired consciousness, ataxia, acute cerebrovascular disease, and epilepsy), peripheral nervous system (PNS) symptoms (hypogeusia, hyposmia, hypopsia, and neuralgia), and skeletal muscular symptoms. Data of all neurological symptoms were checked by two trained neurologists. RESULTS: Of 214 patients studied, 88 (41.1%) were severe and 126 (58.9%) were non-severe patients. Compared with non-severe patients, severe patients were older (58.7 {+/-} 15.0 years vs 48.9 {+/-} 14.7 years), had more underlying disorders (42 [47.7%] vs 41 [32.5%]), especially hypertension (32 [36.4%] vs 19 [15.1%]), and showed less typical symptoms such as fever (40 [45.5%] vs 92 [73%]) and cough (30 [34.1%] vs 77 [61.1%]). Seventy-eight (36.4%) patients had neurologic manifestations. More severe patients were likely to have neurologic symptoms (40 [45.5%] vs 38 [30.2%]), such as acute cerebrovascular diseases (5 [5.7%] vs 1 [0.8%]), impaired consciousness (13 [14.8%] vs 3 [2.4%]) and skeletal muscle injury (17 [19.3%] vs 6 [4.8%]). CONCLUSION: Compared with non-severe patients with COVID-19, severe patients commonly had neurologic symptoms manifested as acute cerebrovascular diseases, consciousness impairment and skeletal muscle symptoms.