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1.
Sensors (Basel) ; 22(12)2022 Jun 20.
Article in English | MEDLINE | ID: covidwho-1964052

ABSTRACT

Abnormal movement of the head and neck is a typical symptom of Cervical Dystonia (CD). Accurate scoring on the severity scale is of great significance for treatment planning. The traditional scoring method is to use a protractor or contact sensors to calculate the angle of the movement, but this method is time-consuming, and it will interfere with the movement of the patient. In the recent outbreak of the coronavirus disease, the need for remote diagnosis and treatment of CD has become extremely urgent for clinical practice. To solve these problems, we propose a multi-view vision based CD severity scale scoring method, which detects the keypoint positions of the patient from the frontal and lateral images, and finally scores the severity scale by calculating head and neck motion angles. We compared the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) subscale scores calculated by our vision based method with the scores calculated by a neurologist trained in dyskinesia. An analysis of the correlation coefficient was then conducted. Intra-class correlation (ICC)(3,1) was used to measure absolute accuracy. Our multi-view vision based CD severity scale scoring method demonstrated sufficient validity and reliability. This low-cost and contactless method provides a new potential tool for remote diagnosis and treatment of CD.


Subject(s)
Torticollis , Feasibility Studies , Humans , Reproducibility of Results , Research Design , Severity of Illness Index , Torticollis/diagnosis , Treatment Outcome
2.
Atmosphere ; 13(7):1104, 2022.
Article in English | ProQuest Central | ID: covidwho-1963694

ABSTRACT

Antibacterial filtration materials have been used effectively to control biological pollutants and purify indoor air. This study aimed to assess the antibacterial capability of three fiber filter materials treated with triclosan: glass fiber (GF), non-woven fabric (NF) and chemical fiber (CF). Triclosan was loaded onto the filtration materials by the impregnation method. The triclosan-treated filter materials exhibited antibacterial zones obviously: the average antibacterial bands against E. coli were 11.8 mm (GF), 13.3 mm (NF) and 10.5 mm (CF);against S. albus, they were 25.5 mm (GF), 21.0 mm (NF) and 23.5 mm (CF). The percent reductions of bacteria for the antibacterial air fiber materials treated with triclosan against E. coli were 71.4% (CF) and 62.6% (GF), while the percent reductions against S. albus were 61.3% (NF) and 84.6% (CF). These findings could help to reduce the transmission and threat of epidemic and purify the environment through the use of environmentally friendly antibacterial filter fibers.

3.
Shanghai Journal of Preventive Medicine ; 34(1):7-11, 2022.
Article in Chinese | GIM | ID: covidwho-1924843

ABSTRACT

Shanghai is a super-large metropolis with a highly developed globalization. Since the 21st century, Shanghai has experienced several threats of emerging and imported infectious diseases. Infectious disease surveillance has been established and developed from single-disease surveillances to a comprehensive surveillance network. Integration of clinical and preventive medicine has been gradually extended, which facilitates the improvement in the monitoring and early warning system. In 2020, when the COVID-19 epidemic spread, Shanghai quickly established a prevention and control expert team and a clinical medical expert team to effectively and shortly control local COVID-19 epidemic. In order to improve Shanghai's capacity to respond to major epidemics of infectious diseases and public health emergencies, the metropolis will build and improve a three-level diagnosis and treatment system for emerging, imported, rare, and unknown infectious diseases in the next five years. Based on the big data monitoring platform of medical institutions, Shanghai will achieve the intelligence-supported diagnosis and treatment of infectious diseases, and consolidate the cooperation to implement the integration of clinical and preventive medicine.

4.
Environ Res ; 212(Pt D): 113493, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1907003

ABSTRACT

To examine the short-term association between gaseous air pollutants (CO, NO2, SO2, and O3) and all-cause respiratory disease, acute upper respiratory infections (AURIs) as well as acute lower respiratory infections (ALRIs) among children, we conducted the study from 25 major cities in China. Hospitalization records of children aged 0-18 years due to all-cause respiratory diseases (889,926), AURIs (97,858), and ALRIs (642,154) from 2016 to 2019 were extracted. Concentrations of CO, NO2, SO2, and O3 were averaged across monitoring stations. Generalized additive models were used to estimate the associations between gaseous air pollutants and daily hospitalizations for all-cause respiratory disease, AURIs, and ALRIs. The meta-analysis was used to combine the city-specific estimates. A 10 mg/m3 increase in CO at lag01, and a 10 µg/m3 increase in NO2, SO2, and O3 at lag01 were associated with 1.65% (95%CI, 0.41-2.91), 0.54% (95%CI, 0.30-0.79), 0.60% (95%CI, 0.22-0.99), and 0.23% (95%CI, 0.06-0.39) increase of hospitalizations due to all-cause respiratory disease, respectively. For the disease subtype, O3 only had adverse effects on AURIs, CO and SO2 mainly on ALRIs, and NO2 on both AURIs and ALRIs. Children aged 4-6years were more vulnerable to the effects of CO and NO2, but those aged <1year were more susceptible to SO2 and O3. Besides, the O3 effect was stronger in the warm season than in the cold season. The study indicated that short-term exposure to CO, NO2, SO2, and O3 was associated with increased hospitalization for pediatric respiratory disease, and the association may vary by position of the respiratory tract, age, and season.


Subject(s)
Air Pollutants , Air Pollution , Respiration Disorders , Respiratory Tract Infections , Air Pollutants/analysis , Air Pollutants/toxicity , Air Pollution/analysis , Child , China/epidemiology , Cities/epidemiology , Gases/analysis , Hospitalization , Humans , Nitrogen Dioxide/analysis , Nitrogen Dioxide/toxicity , Particulate Matter/analysis , Respiratory Tract Infections/chemically induced , Respiratory Tract Infections/epidemiology , Time Factors
5.
Sensors ; 22(12):4642, 2022.
Article in English | MDPI | ID: covidwho-1894323

ABSTRACT

Abnormal movement of the head and neck is a typical symptom of Cervical Dystonia (CD). Accurate scoring on the severity scale is of great significance for treatment planning. The traditional scoring method is to use a protractor or contact sensors to calculate the angle of the movement, but this method is time-consuming, and it will interfere with the movement of the patient. In the recent outbreak of the coronavirus disease, the need for remote diagnosis and treatment of CD has become extremely urgent for clinical practice. To solve these problems, we propose a multi-view vision based CD severity scale scoring method, which detects the keypoint positions of the patient from the frontal and lateral images, and finally scores the severity scale by calculating head and neck motion angles. We compared the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) subscale scores calculated by our vision based method with the scores calculated by a neurologist trained in dyskinesia. An analysis of the correlation coefficient was then conducted. Intra-class correlation (ICC)(3,1) was used to measure absolute accuracy. Our multi-view vision based CD severity scale scoring method demonstrated sufficient validity and reliability. This low-cost and contactless method provides a new potential tool for remote diagnosis and treatment of CD.

6.
Front Psychol ; 13: 765832, 2022.
Article in English | MEDLINE | ID: covidwho-1855419

ABSTRACT

Online learning resources (OLR) play an important role in teaching and learning in the process of online learning. Teachers will be satisfied with selectable and suitable online learning resources, which can promote their self-efficacy to facilitate online teaching and learning. This study proposed a model to examine the effects of the selectivity of online learning resources (SE-OLR) and the suitability of online learning resources (SU-OLR) on teachers' online teaching satisfaction, and the mediating role of technology self-efficacy (TECHN-SE) and online teaching self-efficacy (OT-SE) between them. The results indicated that SE-OLR and SU-OLR positively affected teachers' online teaching satisfaction; TECHN-SE and OT-SE positively influenced teachers' online teaching satisfaction, while TECHN-SE and OT-SE played mediating roles between SE-OLR and SU-OLR and teachers' online teaching satisfaction. The findings have implications for the design and development of online learning resources to improve teachers' satisfaction and facilitate students' learning effectiveness and teachers' online teaching.

7.
J Med Virol ; 94(9): 4071-4087, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1819373

ABSTRACT

Since the outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, global public health and the economy have suffered unprecedented damage. Based on the increasing related literature, the characteristics and pathogenic mechanisms of the virus, and epidemiological and clinical features of the disease are being rapidly discovered. The spike glycoprotein (S protein), as a key antigen of SARS-CoV-2 for developing vaccines, antibodies, and drug targets, has been shown to play an important role in viral entry, tissue tropism, and pathogenesis. In this review, we summarize the molecular mechanisms of interaction between S protein and host factors, especially receptor-mediated viral modulation of host signaling pathways, and highlight the progression of potential therapeutic targets, prophylactic and therapeutic agents for prevention and treatment of SARS-CoV-2 infection.


Subject(s)
COVID-19 , Spike Glycoprotein, Coronavirus , Angiotensin-Converting Enzyme 2 , Humans , Protein Binding , SARS-CoV-2 , Signal Transduction , Virus Internalization
8.
Front Public Health ; 10: 764203, 2022.
Article in English | MEDLINE | ID: covidwho-1775974

ABSTRACT

Background: Stigmatization and poor social support are challenges faced by individuals living with HIV or sexually transmitted disease, which can have a profound negative impact on their healthcare. Mother-to-child transmission of either HIV or syphilis can lead to adverse maternal and fetal outcomes. The aim of this study was to investigate stigmatization and social support of pregnant women with HIV or syphilis in eastern China. Methods: This was an explanatory sequential mixed-method study conducted in Zhejiang province, China in 2019. Stigmatization, social support, and the associated factors toward HIV or syphilis were evaluated using questionnaires. The social support rating scale was used to evaluate social support, where a score <25% was defined as poor social support. A logistic regression model was used to explore the association between stigmatization and poor social support. Results: A total of 448 women (HIV positive, N = 93; syphilis, N = 355) were recruited in this study. Higher stigmatization was observed in pregnant women with HIV compared to those with syphilis (53.76% vs. 24.36%, p < 0.001), and poorer social support was observed in women with HIV compared with those with syphilis (40.86% vs. 19.86%, p < 0.001), with significant distributions of the total social support scores (Z = -1.976, p = 0.048) and scores on objectivity (Z = -2.036, p = 0.042) and subjectivity (Z = -2.500, p = 0.012). Similar social support among HIV or syphilis pregnant women was observed in medical healthcare facilities. In multivariable logistic model analysis, stigmatization (OR adj = 2.927; 95%CI, 1.714-4.996; p < 0.001) and ethnic minority (OR adj = 2.373; 95%CI, 1.113-5.056; p = 0.025) were negatively associated with social support. Interestingly, employment status was associated with improved social support (OR adj = 0.345; 95%CI, 0.180-0.662; p = 0.001). Conclusion: Stigmatization among pregnant women with HIV or syphilis remains high. We demonstrated that stigmatization was a significant predictor of low social support in pregnant women with HIV or syphilis. The support shown in medical facilities was similar toward pregnant women with HIV or syphilis. Implementation of stigmatization eradication and social support strategies targeting pregnant women with HIV or syphilis may therefore improve the dual elimination of mother-to-child transmission service.


Subject(s)
HIV Infections , Pregnancy Complications, Infectious , Social Stigma , Social Support , Syphilis , China/epidemiology , Female , HIV Infections/epidemiology , HIV Infections/psychology , Humans , Infectious Disease Transmission, Vertical , Minority Groups , Pregnancy , Pregnancy Complications, Infectious/epidemiology , Pregnancy Complications, Infectious/psychology , Pregnant Women , Syphilis/epidemiology , Syphilis/psychology
9.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-323730

ABSTRACT

The unprecedented coronavirus disease 2019 (COVID-19) pandemic is still a worldwide threat to human life since its invasion into the daily lives of the public in the first several months of 2020. Predicting the size of confirmed cases is important for countries and communities to make proper prevention and control policies so as to effectively curb the spread of COVID-19. Different from the 2003 SARS epidemic and the worldwide 2009 H1N1 influenza pandemic, COVID-19 has unique epidemiological characteristics in its infectious and recovered compartments. This drives us to formulate a new infectious dynamic model for forecasting the COVID-19 pandemic within the human mobility network, named the SaucIR-model in the sense that the new compartmental model extends the benchmark SIR model by dividing the flow of people in the infected state into asymptomatic, pathologically infected but unconfirmed, and confirmed. Furthermore, we employ dynamic modeling of population flow in the model in order that spatial effects can be incorporated effectively. We forecast the spread of accumulated confirmed cases in some provinces of mainland China and other countries that experienced severe infection during the time period from late February to early May 2020. The novelty of incorporating the geographic spread of the pandemic leads to a surprisingly good agreement with published confirmed case reports. The numerical analysis validates the high degree of predictability of our proposed SaucIR model compared to existing resemblance. The proposed forecasting SaucIR model is implemented in Python. A web-based application is also developed by Dash (under construction).

10.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-318611

ABSTRACT

Background: It is important to improve vaccination strategies and immunization programs to achieve herd immunity to infectious diseases, particularly in general community-dwelling populations.Methods: To assess the acceptance of COVID-19 vaccination, we conducted face-to-face surveys and online surveys in Shanghai, Zhejiang, and Qinghai province. A fixed effects model and a random effects model were used to analyze factors associated with acceptance of COVID-19 vaccination.Findings: The results indicated that 82·6% of participants (77·0% in Shanghai and 87·3% in Zhejiang) were willing to receive vaccination when it was available in the community, and 57·2% of deliverymen, 43·3% of medical workers, 78·2% of parents of primary and secondary school children, and 72·2% of parents of preschool children were willing to receive vaccination. The models showed that participants who were male, 60 to 69 years-old, from rural areas, had less education, had good health status, and had positive attitudes and trust in vaccines approved by National Health Commission were more likely to accept vaccination. Participants also had increased vaccination acceptance if it was recommended by government sources, doctors, relatives, or friends. Most participants learned about COVID-19 vaccination from television, radio, and newspapers, followed by community or hospital campaigns and the internet. Those who did not want to receive vaccination were mainly concerned about safety (288, 59·6%) and efficacy (196, 40·6%).Interpretations: Government sources and doctors could increase acceptance of vaccination by promoting the efficacy and safety of COVID-19 vaccination by use of mass media and emphasizing the necessity of vaccination for everyone.Funding Statement: The Bill & Melinda Gates Foundation [Grant No· INV-006277].Declaration of Interests: None.Ethics Approval Statement: The Ethics Committee of the School of Public Health of Fudan University approved this study (Approval no: IRB#2020-11-0758) and all participants provided written informed consent.

11.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-313448

ABSTRACT

The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are exploring the use-case of artificial intelligence and natural language processing in order to efficiently sort through these publications. We demonstrate that clinical trial information, preclinical studies, and a general topic model can be used as text mining data intelligence tools for scientists all over the world to use as a resource for their own research. To evaluate our method, several metrics are used to measure the information extraction and clustering results. In addition, we demonstrate that our workflow not only have a use-case for COVID-19, but for other disease areas as well. Overall, our system aims to allow scientists to more efficiently research coronavirus. Our automatically updating modules are available on our information portal at https://ghddi-ailab.github.io/Targeting2019-nCoV/ for public viewing.

12.
Front Public Health ; 9: 787190, 2021.
Article in English | MEDLINE | ID: covidwho-1686566

ABSTRACT

As a major public health emergency, the COVID-19 pandemic has had a huge impact on economies all over the world. The experience of post-COVID-19 economic recovery is of great significance for achieving sustainable and high-quality economic development. Taking the economic development of China as an example, based on the theory of resilient economy and related measurement methods, this article selects five major indicators that are generally recognized as closely connected with economic resilience to construct a system of economic resilience indicators. In addition, the autoregressive integrated moving average (ARIMA) model is used to predict gross domestic product (GDP) under the scenario of no epidemic. The actual value of China's GDP is compared with the predicted value in the absence of the epidemic, verifying that strong economic resilience plays an important role in the country's economic response to major shocks. Based on the results, policy recommendations are made for countries to strengthen their economic resilience in the postepidemic era.


Subject(s)
COVID-19 , China/epidemiology , Economic Development , Humans , Pandemics , SARS-CoV-2
13.
Journal of Allergy and Clinical Immunology ; 149(2, Supplement):AB323, 2022.
Article in English | ScienceDirect | ID: covidwho-1665048
14.
Vaccines (Basel) ; 10(1)2022 Jan 08.
Article in English | MEDLINE | ID: covidwho-1614037

ABSTRACT

(1) Background: It is important to improve vaccination strategies and immunization programs to achieve herd immunity to infectious diseases. (2) Methods: To assess the acceptance of COVID-19 vaccination, we conducted face-to-face surveys and online surveys in Shanghai, Zhejiang, and Qinghai provinces. A fixed-effect model and a random effects model were used to analyze factors associated with the acceptance of COVID-19 vaccination. (3) Findings: We initially recruited 3173 participants, 3172 participants completed the full questionnaire (the response rate was nearly 100%), of which 2169 were valid questionnaires, with an effective rate of 87.3%. The results indicated that 82.6% of participants were willing to receive vaccination when it was available in the community, and 57.2% of deliverymen, 43.3% of medical workers, 78.2% of parents of primary and secondary school children, and 72.2% of parents of preschool children were willing to receive vaccination. The models showed that participants who were male (female vs. male: OR = 1.49, 95% CI (1.12, 1.98)), 60 to 69 years-old (60-69 vs. <30: OR = 0.52, 95% CI (0.29, 0.92)), had less education (medium vs. low: OR = 1.50, 95% CI (1.05, 2.23)), had good health status (good vs. low: OR = 0.36, 95% CI (0.15, 0.88)), and had positive attitudes and trust (OR = 0.14, 95% CI (0.10, 0.20)) in vaccines approved by the National Health Commission were more likely to accept vaccination. Participants also had an increased vaccination acceptance if it was recommended by government sources, doctors, relatives, or friends. Most participants learned about COVID-19 vaccination from television, radio, and newspapers, followed by community or hospital campaigns and the internet. (4) Conclusions: Government sources and doctors could increase the acceptance of vaccination by promoting the efficacy and safety of COVID-19 vaccination by the use of mass media and emphasizing the necessity of vaccination for everyone.

16.
Front Pharmacol ; 12: 698905, 2021.
Article in English | MEDLINE | ID: covidwho-1315956

ABSTRACT

Lung alveolar type-II (AT-II) cells produce pulmonary surfactant (PS), consisting of proteins and lipids. The lipids in PS are primarily responsible for reducing the air-fluid surface tension inside the alveoli of the lungs and to prevent atelectasis. The proteins are of two types: hydrophilic and hydrophobic. Hydrophilic surfactants are primarily responsible for opsonisation, thereby protecting the lungs from microbial and environmental contaminants. Hydrophobic surfactants are primarily responsible for respiratory function. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) enters the lungs through ACE-2 receptors on lungs and replicates in AT-II cells leading to the etiology of Coronavirus disease - 2019 (COVID-19). The SARS-CoV-2 virus damages the AT-II cells and results in decreased production of PS. The clinical symptoms of acute respiratory distress syndrome (ARDS) in COVID-19 patients are like those of neonatal respiratory distress syndrome (NRDS). The PS treatment is first-line treatment option for NRDS and found to be well tolerated in ARDS patients with inconclusive efficacy. Over the past 70°years, a lot of research is underway to produce natural/synthetic PS and developing systems for delivering PS directly to the lungs, in addition to finding the association between PS levels and respiratory illnesses. In the present COVID-19 pandemic situation, the scientific community all over the world is searching for the effective therapeutic options to improve the clinical outcomes. With a strong scientific and evidence-based background on role of PS in lung homeostasis and infection, few clinical trials were initiated to evaluate the functions of PS in COVID-19. Here, we connect the data on PS with reference to pulmonary physiology and infection with its possible therapeutic benefit in COVID-19 patients.

17.
Appl Psychol Health Well Being ; 14(1): 64-80, 2022 02.
Article in English | MEDLINE | ID: covidwho-1311013

ABSTRACT

China was a major hotspot during the beginning of the COVID-19 pandemic. Several studies have reported changes in residents' eating behaviors and appetite during city wide lockdowns and home confinements. However, few have investigated how neuroticism interacts with the impact of COVID-19 to influence eating behaviors during city lockdowns. Thus, the current study aims to establish a pathway model to understand social media exposure, negative affect, neuroticism, and their interaction with eating behaviors during the COVID-19 lockdowns. We present data from 1,128 participants (Mage = 24.34 ± 10.48 years) who completed an online survey between February 17 and 27, 2020. The extent of respondents' social media exposure, negative affect, eating behaviors, and desire for high-calorie food during city lockdowns, as well as the personality trait of neuroticism, were measured. Results show that city lockdowns and home confinements had a negative impact on residents' eating behaviors and appetite. Forty-eight percent of respondents showed moderate to constant emotional overeating, and respondents' desire for high-calorie food significantly increased. Correlation analysis showed that emotional overeating is positively associated with social media exposure, neuroticism, and anxiety. Then, a moderated mediation model was established, showing that heavy social media exposure could lead to emotional overeating through anxiety, and the association between social media exposure and anxiety varies depending on the extent of neuroticism. The current study provides novel insight into how the interaction of a personality trait and the stressful situation of COVID-19 influence people's negative emotions and eating behaviors.


Subject(s)
COVID-19 , Social Media , Anxiety , Communicable Disease Control , Emotions , Humans , Hyperphagia/epidemiology , Neuroticism , Pandemics , SARS-CoV-2
18.
Antiviral Res ; 193: 105127, 2021 09.
Article in English | MEDLINE | ID: covidwho-1293551

ABSTRACT

In this study, a series of 10 quinoline analogues was evaluated for their in vitro antiviral activity against a panel of alpha- and beta-coronaviruses, including the severe acute respiratory syndrome coronaviruses 1 and 2 (SARS-CoV-1 and SARS-CoV-2), as well as the human coronaviruses (HCoV) 229E and OC43. Chloroquine and hydroxychloroquine were the most potent with antiviral EC50 values in the range of 0.12-12 µM. Chloroquine displayed the most favorable selectivity index (i.e. ratio cytotoxic versus antiviral concentration), being 165 for HCoV-OC43 in HEL cells. Potent anti-coronavirus activity was also observed with amodiaquine, ferroquine and mefloquine, although this was associated with substantial cytotoxicity for mefloquine. Primaquine, quinidine, quinine and tafenoquine only blocked coronavirus replication at higher concentrations, while piperaquine completely lacked antiviral and cytotoxic effects. A time-of-addition experiment in HCoV-229E-infected HEL cells revealed that chloroquine interferes with viral entry at a post-attachment stage. Using confocal microscopy, no viral RNA synthesis could be detected upon treatment of SARS-CoV-2-infected cells with chloroquine. The inhibition of SARS-CoV-2 replication by chloroquine and hydroxychloroquine coincided with an inhibitory effect on the autophagy pathway as visualized by a dose-dependent increase in LC3-positive puncta. The latter effect was less pronounced or even absent with the other quinolines. In summary, we showed that several quinoline analogues, including chloroquine, hydroxychloroquine, amodiaquine, ferroquine and mefloquine, exhibit broad anti-coronavirus activity in vitro.


Subject(s)
Antimalarials/pharmacology , Antiviral Agents/pharmacology , Coronavirus Infections/drug therapy , Coronavirus/drug effects , Quinolines/pharmacology , Animals , COVID-19/drug therapy , Chlorocebus aethiops , Chloroquine/pharmacology , Coronavirus 229E, Human/drug effects , Coronavirus OC43, Human/drug effects , Humans , Hydroxychloroquine/pharmacology , SARS-CoV-2/drug effects , Vero Cells , Virus Internalization/drug effects , Virus Replication/drug effects
19.
Front Med (Lausanne) ; 8: 638194, 2021.
Article in English | MEDLINE | ID: covidwho-1295653

ABSTRACT

This study aimed to detect, analyze, and correlate the clinical characteristics, blood coagulation functions, blood calcium levels, and inflammatory factors in patients with mild and severe COVID-19 infections. The enrolled COVID-19 infected patients were from Wuhan Jin Yin-tan Hospital (17 cases, Wuhan, China), Suzhou Infectious Disease Hospital (87 cases, Suzhou, China), and Xuzhou Infectious Disease Hospital (14 cases, Xuzhou, China). After admission, basic information was collected; X-ray and chest CT images were obtained; and data from routine blood tests, liver and kidney function, myocardial enzymes, electrolytes, blood coagulation function, (erythrocyte sedimentation rate) ESR, C-reactive protein (CRP), IL-6, procalcitonin (PCT), calcitonin, and other laboratory tests were obtained. The patients were grouped according to the clinical classification method based on the pneumonia diagnosis and treatment plan for new coronavirus infection (trial version 7) in China. The measurements from mild (56 cases) and severe cases (51 cases) were compared and analyzed. Most COVID-19 patients presented with fever. Chest X-ray and CT images showed multiple patchy and ground glass opacities in the lungs of COVID 19 infected patients, especially in patients with severe cases. Compared with patients with mild infection, patients with severe infection were older (p = 0.023) and had a significant increase in AST and BUN. The levels of CK, LDH, CK-MB, proBNP, and Myo in patients with severe COVID-19 infection were also increased significantly compared to those in patients with mild cases. Patients with severe COVID-19 infections presented coagulation dysfunction and increased D-dimer and fibrin degradation product (FDP) levels. Severe COVID-19 patients had low serum calcium ion (Ca2+) concentrations and high calcitonin and PCT levels and exhibited serious systemic inflammation. Ca2+ in COVID-19 patients was significantly negatively correlated with PCT, calcitonin, D-dimer, PFDP, ESR, CRP and IL-6. D-dimer in COVID-19 patients was a significantly positively correlated with CRP and IL-6. In conclusion, patients with severe COVID-19 infection presented significant metabolic dysfunction and abnormal blood coagulation, a sharp increase in inflammatory factors and calcitonin and procalcitonin levels, and a significant decrease in Ca2+. Decreased Ca2+ and coagulation dysfunction in COVID-19 patients were significantly correlated with each other and with inflammatory factors.

20.
Economic Research-Ekonomska Istraživanja ; : 1-17, 2021.
Article in English | Taylor & Francis | ID: covidwho-1258631
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