BNT162b2 mRNA SARS-CoV- 2 vaccination does not cause upregulation of endothelial activation markers or hypercoagulability: A prospective, single-arm, longitudinal study

Background: Reports of thrombosis post COVID-19 mRNA vaccination have sparked concerns about safety. Aim(s): We prospectively evaluated blood samples of 18 participants who had received 2 doses of the BNT162b2 mRNA vaccine to determine if vaccination results in endothelial activation or hypercoagulability. Method(s): 18 participants who received the BNT162b2 vaccine were enrolled. Participants completed a questionnaire on their cardiovascular and thrombotic risk factors. Blood samples were collected at three time points: Pre-vaccination (day of vaccination), a median of 17 (IQR 16-18) days after the first dose and a median of 9 (IQR 7.5-14.5) days after the second dose of BNT162b2 vaccine. Endothelial markers included ICAM-1, VCAM-1 and P-selectin. Coagulation tests included PT and aPTT with clot waveform analysis, von Willebrand factor levels, Factor VIII and D-dimer levels. Statistical tests of association between endothelial and coagulation parameters were performed with repeated measures ANOVA and Mauchly's test of sphericity. Result(s): The median age of the participants was 35 years (IQR 31 -44), and 14 (78%) were female. 15 did not have any cardiovascular risk factors. There was a statistically significant increase in median ICAM levels post first (66.1ng/ml) and second dose of vaccination (69.5ng/ml)(p = 0.04), although this remained within the normal limit of ICAM levels. A statistically significant decrease in median PT (p = 0.005) and aPTT (p = 0.03) was observed post vaccination, with a corresponding statistically significant increase in aPTT clot waveform analysis (CWA) for maximum acceleration (max2)(p = 0.03) and maximum deceleration (max2)(p = 0.04) post first and second dose of vaccination. However, all evaluated endothelial and coagulation parameters remain within the reference ranges (Table 1). Conclusion(s): Our findings provide reassuring preliminary data that BNT162b2 vaccination does not result in endothelial activation or hypercoagulability. Mild variations in endothelial markers and coagulation parameters, though statistically significant, remain within the reference ranges and may be related to an inflammatory immune response to vaccination. (Table Presented).

Hemorrhagic, coagulopathic, and thrombotic (HECTOR) complications among critically-ill patients with COVID-19: An International COVID-19 critical care consortium study

Background: Hemorrhage, coagulopathy and thrombosis (HECTOR) are reported complications of coronavirus disease 2019 (COVID-19) however, more information is needed on the prevalence of these complications and their associated outcomes in intensive care unit (ICU) settings. Aim(s): To determine the prevalence and outcomes of HECTOR complications in ICU patients with COVID-19. Method(s): Observational cohort study spanning 229 ICUs across 32 countries. Patients >=16 years admitted for severe COVID-19 from 1st January 2020, through 31st December 2021 were included. Patient characteristics and clinical data were collected. Survival analysis estimated the instantaneous impact of HECTOR complications on ICU-mortality and discharge. Result(s): HECTOR complications occurred in 1,735 (14%) of 11,972 study-eligible patients. Acute thrombosis occurred in 1,249 (10%) patients, including 712 (57%) with pulmonary embolism, 413 (33%) with myocardial infarction, 93 (7.4%) with deep vein thrombosis, and 49 (3.9%) with ischemic stroke. Hemorrhagic complications were reported in 582 (4.9%) patients, including 276 (48%) with gastrointestinal hemorrhage, 83 (14%) with hemorrhagic stroke, and 77 (13%) with pulmonary hemorrhage. Disseminated intravascular coagulation occurred in 11 (0.09%) patients. Univariate analysis identified diabetes, hypertension, cardiac and kidney disease and ECMO as statistically-significant risk factors for HECTOR complications. Patients with versus without HECTOR complications suffered higher ICU-mortality at 28 days (25%vs.13%, p < 0.001), 90 days (32%vs.15%, p < 0.0001) and overall (44%vs.36%, p < 0.001). Among ICU survivors, the ICU stay was longer (median days 19vs.12, p < 0.001). ICU mortality was similar between patients with and without HECTOR complications (HR = 1.01, 95%CI 0.92-1.12, p = 0.783) where an increased hazard of ICU mortality with hemorrhage (HR = 1.26, 1.09-1.45, p = 0.002) was balanced by a reduced hazard of thrombosis (HR = 0.88, 0.79-0.99, p = 0.03). Kaplan-Meier curves are presented in the Figure. Conclusion(s): HECTOR events are frequent complications of severe COVID-19 in ICU patients. Hemorrhagic, but not thrombotic complications are associated with increased ICU-mortality.

Sustainable Development Path of Agriculture, Culture and Tourism Industry Under the Background of Rural Revitalization Strategy - Taking Jiangxi Province as an Example

Realizing the sustainable development of agriculture, culture and tourism industry is an important part of promoting comprehensive rural revitalization of China. Based on the investigation of Jiangxi Province, this paper analyzes the development status of agricultural, cultural and tourism industry and the main difficulties of sustainable development. It is considered that China has initially established an attractive and competitive agricultural, cultural and tourism industry system. However, the lack of characteristic development, insufficient industrial integration and brand marketing system have become the main shortcomings restricting the sustainable development of agriculture, culture and tourism industry. Facing the normalization of COVID-19 and huge market potential, the industry needs to closely follow the development goal of rural comprehensive revitalization, and take 'specialization', 'integration' and 'digitalization' as the path to truly achieve sustainable and rapid development. © 2022 The authors and IOS Press.

A Six-degree-of-freedom Face Tracking Method for Non-contact Physiological Detection Robot

Due to the COVID-19 epidemic, there has been a high demand for non-contact diagnostic equipment that can reduce exposure and cross-infection. A non-contact medical detection robot is a type of diagnostic equipment and medical service robot with a wide application prospect. However, few non-contact medical detection robots have been designed to collect patients' physiological parameters when they are in inconvenient situations, such as bedridden, during clinical usage. A six-degree-of-freedom (six-DOF) face tracking method based on a six-DOF robot is proposed in this paper. In the proposed system, a face detector equipped with a camera attached to the robot's wrist is used to obtain the real-time face depth and attitude information. The optimal target attitude of the camera is calculated according to the constraints in the base coordinate system. A closed-loop controller is designed to control the robot to reach the target position and posture smoothly. The experiment with a six-DOF robot has verified that the proposed system can achieve the real-time tracking of human faces by a camera. The proposed method can also be used in many other scenarios where six-DOF face tracking is required by robots.

[Epidemiological characteristics of COVID-19 epidemic in Ejina banner, Inner Mongolia Autonomous Region, October 2021].

Objective: To understand the epidemiological characteristics of COVID-19 epidemic in Ejina banner, Inner Mongolia, in October 2021 and provide evidence for the improvement of COVID-19 prevention and control. Methods: The information about the time, area and population distributions of COVID-19 cases in Ejina before November 13, 2021 and the gene sequencing result of the isolates were collected for a statistical descriptive analysis. Results: The first COVID-19 case in Ejina occurred on 7 October, 2021. A total of 164 COVID-19 cases were reported from October 19 to November 12. Most cases were distributed in 6 communities in Darahub (156 cases, 95.12%). The result of full gene sequencing of the isolates indicted that the pathogen was Delta variant (B.1.617.2). The male to female ratio of the cases was 1.3∶1. The age of cases ranged from 1 to 85 years, and the cases aged 20-59 years accounted for 78.66%. The main clinical symptoms were sore throat (91 cases, 91.92%), cough (49 cases, 49.49%) and fever (23 cases, 23.23%). Most cases were ordinary ones (81 cases, 49.39%) and mild ones (68 cases, 41.46%). The cases were mainly detected at the isolation points (84 cases, 51.22%) and through population based nucleic acid testing (62 cases, 37.80%). The basic reproduction number (R0) of COVID-19 was 5.3, the average incubation period was 3.9 days. The local government rapidly started Ⅳ level emergency response and conducted 10 rounds of nucleic acid tests. The transferring of travelers reduced the risk for the further spread of COVID-19 in Ejina. Conclusions: The epidemic of COVID-19 in Ejina characterized by strong transmission, short incubation period, herd susceptibility and case clustering. Delta variant (B.1.617.2) was the pathogen, which might be imported from Zeke port. Comprehensive prevention and control measures, such as closed-loop management and vaccination, should be continued. The successful transferring of the patients and travelers provided evidence for the effective and precise prevention and control of COVID-19 in a routine manner.

Global haemostatic tests demonstrate the absence of hypercoagulability in non-supplemental oxygen dependent COVID-19 patients

Background : Critically-ill COVID-19 patients demonstrate a hypercoagulable state, hence necessitating thromboprophylaxis. However, in non-critically ill COVID-19 patients, the haemostatic profile is unknown. Aims : A prospective, observational study was performed to evaluate coagulation parameters, and thrombotic outcomes in critically and non-critically ill COVID-19 patients. Methods : Informed consent was obtained from 10 critically ill (oxygen dependent, PaO2/FiO2 ratio<300) PCR positive COVID-19 patients matched for age and gender with 10 non-critically ill patients (nonoxygen dependent). On recruitment, laboratory (FBC/LDH/CRP/ procalcitonin) and coagulation tests (PT/APTT/D-Dimer/Fibrinogen/ TCT/Factors II,V,VII,VIII,IX,X,XI/vWF/anti-thrombinIII/ProteinC/ ProteinS/antiphospholipid antibodies), Thromboelastography(TEG), Clot Waveform Analysis(CWA) were performed, with repeat TEG/ CWA every 3 days, till 21 days of admission or discharge. This study was DSRB approved and supported by an NHG-NCID grant. Results : The median age was 60 years(49.5, 64.5) with 16 males and 4 females. Median Padua score of critically ill patients was 5 with PaO2/FiO2 ratio 194.5 (174, 241). Hypercoagulability was present in critically ill patients with elevated median levels of Fibrinogen 5.6 g/L(4.9, 6.6), D-dimer 1.0 μg/ml(0.6, 1.4), Factor VIII 206%(171, 230), von Willebrand Factor 265%(206, 321) as compared with lower levels in non-critically ill patients. Hypercoagulability was shown in TEG with increased CRT Angle 78.9°(78.3, 80.0), CFF MA 34.6 mm(27.4, 38.6) and CFF A10 30.9 s (25.5, 34.0);and CWA had increased clot velocity, aPTT Min1 7.7%/s(6.4, 8.3). CK K, CK Angle, CK MA, CRT MA were higher in critically ill patients (Table 1). In noncritically ill patients, D-dimer levels were normal, 0.3 μg/mL(0.3, 0.4) while Factor VIII levels of 176%(157, 192) and vWF levels of 225%(158, 237) were mildly elevated, with TEG and CWA demonstrating no hypercoagulability. 2 critically-ill patients developed thromboembolism(stroke, DVT) while no non-critically ill patients (not on thromboprophylaxis) had thrombosis. Conclusions : Critically ill COVID-19 patients demonstrate a hypercoagulable state with raised fibrinogen and Factor VIII levels correlating with raised CK, CRT, CFF maximal amplitude and increased CWA clot velocity(min1), while non-critical patients showed an absence of hypercoagulability in global tests of haemostasis.

ST-segment elevation myocardial infarction in post-COVID-19 patients: A case series

Coronavirus disease 2019 (COVID-19) is associated with an increased risk of thromboembolic events in the acute setting. However, the abnormal thrombotic diathesis is not known to persist into the recovery phase of COVID-19 infection. We described 3 cases of ST-segment elevation myocardial infarction in healthy male patients who recovered from COVID-19 with no prior cardiovascular risk factors. They shared features of elevated von Willebrand factor antigen, factor VIII and D-dimer level. One patient had a borderline positive lupus anticoagulant. Intravascular ultrasound of culprit vessels revealed predominantly fibrotic plaque with minimal necrotic core. Clot waveform analysis showed parameters of hypercoagulability. They were treated with dual antiplatelet therapy, angiotensin-converting-enzyme inhibitor, beta blocker and statin. These cases highlight the strong thrombogenic nature of COVID-19 that persisted among patients who recovered from infection. Several suspected mechanisms could explain the association between vascular thrombosis in the convalescent period (endothelial dysfunction, hypercoagulability, systemic inflammatory response and vasculopathy). Additional studies on "long COVID" are essential for identifying endotheliopathy and thrombotic sequalae.

The impact of COVID-19 on subthreshold depressive symptoms: a longitudinal study.

AIMS: The coronavirus disease 2019 (COVID-19) pandemic represents an unprecedented threat to mental health. Herein, we assessed the impact of COVID-19 on subthreshold depressive symptoms and identified potential mitigating factors. METHODS: Participants were from Depression Cohort in China (ChiCTR registry number 1900022145). Adults (n = 1722) with subthreshold depressive symptoms were enrolled between March and October 2019 in a 6-month, community-based interventional study that aimed to prevent clinical depression using psychoeducation. A total of 1506 participants completed the study in Shenzhen, China: 726 participants, who completed the study between March 2019 and January 2020 (i.e. before COVID-19), comprised the 'wave 1' group; 780 participants, who were enrolled before COVID-19 and completed the 6-month endpoint assessment during COVID-19, comprised 'wave 2'. Symptoms of depression, anxiety and insomnia were assessed at baseline and endpoint (i.e. 6-month follow-up) using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7) and Insomnia Severity Index (ISI), respectively. Measures of resilience and regular exercise were assessed at baseline. We compared the mental health outcomes between wave 1 and wave 2 groups. We additionally investigated how mental health outcomes changed across disparate stages of the COVID-19 pandemic in China, i.e. peak (7-13 February), post-peak (14-27 February), remission plateau (28 February-present). RESULTS: COVID-19 increased the risk for three mental outcomes: (1) depression (odds ratio [OR] = 1.30, 95% confidence interval [CI]: 1.04-1.62); (2) anxiety (OR = 1.47, 95% CI: 1.16-1.88) and (3) insomnia (OR = 1.37, 95% CI: 1.07-1.77). The highest proportion of probable depression and anxiety was observed post-peak, with 52.9% and 41.4%, respectively. Greater baseline resilience scores had a protective effect on the three main outcomes (depression: OR = 0.26, 95% CI: 0.19-0.37; anxiety: OR = 1.22, 95% CI: 0.14-0.33 and insomnia: OR = 0.18, 95% CI: 0.11-0.28). Furthermore, regular physical activity mitigated the risk for depression (OR = 0.79, 95% CI: 0.79-0.99). CONCLUSIONS: The COVID-19 pandemic exerted a highly significant and negative impact on symptoms of depression, anxiety and insomnia. Mental health outcomes fluctuated as a function of the duration of the pandemic and were alleviated to some extent with the observed decline in community-based transmission. Augmenting resiliency and regular exercise provide an opportunity to mitigate the risk for mental health symptoms during this severe public health crisis.

Analysis of identifying COVID-19 with deep learning model

Coronary Virus Disease 2019 swept the world and caused serious impact on human society. Doctors usually use CT scan pictures and chest X-ray images to determine whether a patient is infected. Many researchers try to use deep learning methods to test COVID-19 of patients. However, there are many problems when using deep learning methods for feature extraction, such as: fewer data samples, unclear pictures, and pictures containing special marks. This article uses deep learning methods for COVID-19 detection and visual analysis of popular deep learning methods. Experiments verify that when using deep learning in the public small sample COVID-19 dataset, a small part of the test results are not reliable. We propose solutions to the problems of deep learning during COVID-19 detection. © 2020 Institute of Physics Publishing. All rights reserved.