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1.
Int J Infect Dis ; 120: 1-11, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1838874

ABSTRACT

OBJECTIVES: This study aimed to explore the role of CD4+ T cells in the mechanisms of COVID-19 related diarrhea. METHODS: We analyzed lymphocyte subsets in patients with COVID-19 and the expression of angiotensin-converting enzyme 2 (ACE2), the transmembrane protease serine 2, and CD4+ T cell-related indicators in the colon were compared between patients with and without diarrhea. Correlation analyses were performed for ACE2 and other indicators to identify the relationship between SARS-CoV-2 infection and CD4+ mediated inflammation. The expression and distribution of CD4+ T cell-associated chemokines and their receptors were detected to determine the possibility of migration of CD4+ T cells to inflammation sites. RESULTS: The CD4+ T cell counts and percentages and CD4/CD8 ratio showed the most significant differences between the 2 groups. The diarrhea group expressed higher levels of ACE2, T-box expressed in T cells (Tbet), and tumor necrosis factor-alpha (TNFα) at both the mRNA and protein levels, with no difference from the nondiarrhea group for the percentage of ACE2+TNFα+ cells, indicating an indirect association between ACE2 and TNFα. The mRNA expression of CXCL10, CXCL11, and CXCR3 and the number of CD4+CXCR3+T cells were increased in the diarrhea group. CONCLUSIONS: CD4+ T cell-mediated inflammation may contribute to COVID-19 related diarrhea. CXCR3+ mediated migration of CD4+ T cells into the gut may perpetuate inflammation.


Subject(s)
Angiotensin-Converting Enzyme 2 , COVID-19 , CD4-Positive T-Lymphocytes , COVID-19/complications , Diarrhea , Humans , Inflammation , RNA, Messenger , SARS-CoV-2 , Tumor Necrosis Factor-alpha/genetics
2.
Front Med (Lausanne) ; 9: 809033, 2022.
Article in English | MEDLINE | ID: covidwho-1834441

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) can result in an endothelial dysfunction in acute phase. However, information on the late vascular consequences of COVID-19 is limited. METHODS: Brachial artery flow-mediated dilation (FMD) examination were performed, and inflammatory biomarkers were assessed in 86 survivors of COVID-19 for 327 days (IQR 318-337 days) after recovery. Comparisons were made with 28 age-matched and sex-matched healthy controls and 30 risk factor-matched patients. RESULTS: Brachial artery FMD was significantly lower in the survivors of COVID-19 than in the healthy controls and risk factor-matched controls [median (IQR) 7.7 (5.1-10.7)% for healthy controls, 6.9 (5.5-9.4)% for risk factor-matched controls, and 3.5(2.2-4.6)% for COVID-19, respectively, p < 0.001]. The FMD was lower in 25 patients with elevated tumor necrosis factor (TNF)-α [2.7(1.2-3.9)] than in 61 patients without elevated TNF-α [3.8(2.6-5.3), p = 0.012]. Furthermore, FMD was inversely correlated with serum concentration of TNF-α (r = -0.237, p = 0.007). CONCLUSION: Survivors of COVID-19 have a reduced brachial artery FMD, which is inversely correlated with increased serum concentration of TNF-α. Prospective studies on the association of endothelial dysfunction with long-term cardiovascular outcomes, especially the early onset of atherosclerosis, are warranted in survivors of COVID-19.

3.
Fractal and Fractional ; 6(4):197, 2022.
Article in English | MDPI | ID: covidwho-1776180

ABSTRACT

The large proportion of asymptomatic patients is the major cause leading to the COVID-19 pandemic which is still a significant threat to the whole world. A six-dimensional ODE system (SEIAQR epidemical model) is established to study the dynamics of COVID-19 spreading considering infection by exposed, infected, and asymptomatic cases. The basic reproduction number derived from the model is more comprehensive including the contribution from the exposed, infected, and asymptomatic patients. For this more complex six-dimensional ODE system, we investigate the global and local stability of disease-free equilibrium, as well as the endemic equilibrium, whereas most studies overlooked asymptomatic infection or some other virus transmission features. In the sensitivity analysis, the parameters related to the asymptomatic play a significant role not only in the basic reproduction number R0. It is also found that the asymptomatic infection greatly affected the endemic equilibrium. Either in completely eradicating the disease or achieving a more realistic goal to reduce the COVID-19 cases in an endemic equilibrium, the importance of controlling the asymptomatic infection should be emphasized. The three-dimensional phase diagrams demonstrate the convergence point of the COVID-19 spreading under different initial conditions. In particular, massive infections will occur as shown in the phase diagram quantitatively in the case R0>1. Moreover, two four-dimensional contour maps of Rt are given varying with different parameters, which can offer better intuitive instructions on the control of the pandemic by adjusting policy-related parameters.

4.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-331565

ABSTRACT

The E3 ligase TRIM7 has emerged as a critical player in viral infection and pathogenesis. A recent study found that TRIM7 inhibits human enteroviruses through ubiquitination and proteasomal degradation of viral 2BC protein by targeting the 2C moiety of 2BC protein. Here, we report the crystal structures of TRIM7 in complex with 2C, where the C-terminal region of 2C is inserted into a positively charged groove of the TRIM7 PRY-SPRY domain. Structure-guided biochemical studies revealed the C-terminus glutamine residue of 2C as the primary determinant for TRIM7 binding. Such a glutamine-end motif binding mechanism can be successfully extended to other substrates of TRIM7. More importantly, leveraged by this finding, we were able to identify norovirus and SARS-CoV-2 proteins, and physiological proteins, as new TRIM7 substrates. We further show that TRIM7 may function as a restriction factor to promote the degradation of the viral proteins of norovirus and SARS-CoV-2, thereby restoring the Type I interferon immune response and inhibiting viral infection. Several crystal structures of TRIM7 in complex with SARS-CoV-2 proteins are also determined, and a conserved C-terminus glutamine-specific interaction is observed. These findings unveil a common recognition mode by TRIM7, providing the foundation for further mechanistic characterization of antiviral and cellular functions of TRIM7.

5.
BMC Psychiatry ; 22(1): 180, 2022 03 14.
Article in English | MEDLINE | ID: covidwho-1741936

ABSTRACT

BACKGROUND: The World Health Organization (WHO) proposed COVID-19 vaccination as an emergent and important method to end the COVID-19 pandemic. Since China started vaccination programs in December 2020, vaccination has spread to provinces and municipalities nationwide. Previous research has focused on people's vaccination willingness and its influencing factors but has not examined vaccination behavior. We examine the effectiveness of psychosocial factors in predicting vaccination behavior. METHODS: A cross-sectional online survey was performed among Chinese adults on 8 May and 4 June 2021. The statistical analysis of the data included univariate analysis, receiver operator characteristics (ROC) analysis and ordinal multiclassification logistic regression model analysis. RESULTS: Of the 1300 respondents, 761 (58.5%) were vaccinated. Univariate analysis showed that a high education level and good subjective health status were protective factors for vaccination behavior, while suffering from chronic diseases was a risk factor. ROC analysis showed that subjective health status (AUC = 0.625, 95% CI: 0.594-0.656, P < 0.001) was the best predictor of vaccination behavior. Logistic regression analysis with subjective health status as a dependent variable indicated that older age, female sex, depression, neurasthenia, obsession, hypochondriasis and chronic disease were significant risk factors, while positive coping tendencies were a significant protective factor. CONCLUSION: Our study found a simple and effective marker, subjective health status, that can predict vaccination behavior. This finding can guide future epidemic prevention work.


Subject(s)
COVID-19 , Diagnostic Self Evaluation , Adult , COVID-19 Vaccines , China/epidemiology , Cross-Sectional Studies , Female , Humans , Pandemics/prevention & control , Prometaphase , Vaccination/psychology
6.
J Affect Disord ; 297: 301-308, 2022 01 15.
Article in English | MEDLINE | ID: covidwho-1720186

ABSTRACT

BACKGROUND: The coronavirus disease (COVID-19) pandemic has been a continuous global threat since the first identification of the disease in December 2019. COVID-19 vaccination is a crucial preventive approach that can halt this pandemic. However, many factors affect the willingness of the public to be vaccinated against COVID-19 at the early stage of the vaccination programme. We used network analysis to investigate the interrelation of vaccination willingness and its associated factors. METHODS: A population-representative sample of 539 Chinese adults completed a battery of online self-assessments, including those on vaccination willingness, health status, attitude towards vaccines, COVID-19-related psychological elements and other variables. Network analysis was performed using the R qgraph package. RESULTS: In total, 445 (82.6%) participants scored high on their willingness to vaccinate. Attitude towards vaccines, the influence of people around an individual and health status were directly significantly related to vaccination willingness. The betweenness of age was the highest and, the emotional states had the strongest centrality. LIMITATIONS: Network analysis is not sufficient to determine the causal relationships of the links between nodes. In addition, there are other latent essential elements that were not evaluated. Finally, the sample size was relatively small. CONCLUSION: Network analysis showed that attitude toward vaccines and emotional states are the most critical factors affecting vaccination willingness, which indicates that we should pay attention to the impact of the dissemination of Internet information on vaccination willingness and public emotional states during a pandemic which is very important for promoting vaccination programs.


Subject(s)
COVID-19 Vaccines , COVID-19 , China , Cross-Sectional Studies , Humans , SARS-CoV-2 , Vaccination
7.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-313437

ABSTRACT

Background: Coronavirus disease 2019 (COVID-19) has spread globally. However, the association between COVID-19 and disseminated intravascular coagulation (DIC) has been scarcely addressed. We aimed to systematically characterize the clinical features and examine risk factors for DIC development in COVID-19 patients. Methods: : In this single-centered, retrospective, and observational study, all patients with DIC (N=59) and 270 patients without DIC were matched by propensity score matching based on age, sex, and comorbidities. Demographic data, symptoms, radiological, laboratory examinations, and clinical outcomes were compared between patients with and without DIC. Furthermore, univariable and multivariable logistic regression were used to explore the risk factors associated with DIC development in COVID-19 patients. Results: : Higher proportion of patients with DIC and COVID-19 (54 of 59 [91·53%]) developed into death than non DIC patients (58 of 270 [21·48%]). Patients with DIC presented aggravated inflammation responses, liver damage, and especially coagulation dysfunction. Moreover, in addition to previously reported coagulation-related markers, such as FDP, D-dimer, and platelet, we also identified several novel risk factors associated with DIC development, including decreased fibrinogen (OR=0·476, 95%CI=0·380-0·596, P <0·0001) and ALB (0·901, 0·845- 0·961, P =0·0015), and elevated IL-6 (1·010, 1·005-1·015, P =0·00017) and TNF-α (1·053, 1·016-1·091, P =0·0045). Conclusions: : Patients with DIC and COVID-19 were predisposed to poor clinical outcomes. These risk factors identified may be helpful for early surveillance of disease progression and making standardized treatment strategies.

8.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-313435

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) has caused global pandemic, resulting in considerable mortality. The risk factors, clinical treatments and especially comprehensive risk models for COVID-19 death are urgently warranted. Methods In this retrospective study, 281 non-survivors and 712 survivors with propensity score matching by age, sex and comorbidities were enrolled from January 13, 2020 to March 31, 2020. Results Higher SOFA, qSOFA, APACHE II and SIRS scores, hypoxia, elevated inflammatory cytokines, multi-organ dysfunction, decreased immune cells subsets and complications were significantly associated with the higher COVID-19 death risk. In addition to traditional predictors for death risk, including APACHE II (AUC = 0.83), SIRS (AUC = 0.75), SOFA (AUC = 0.70) and qSOFA scores (AUC = 0.61), another four prediction models that included immune cells subsets (AUC = 0.90), multiple organ damage biomarkers (AUC = 0.89), complications (AUC = 0.88) and inflammatory-related indexes (AUC = 0.75) were established. Additionally, the predictive accuracy of combining these risk factors (AUC = 0.950) was also significantly higher than that of each risk group alone, outperforming previous risk models, which was significant for early clinical management for COVID-19. Conclusions The potential risk factors could help to predict the clinical prognosis of COVID-19 patients at an early stage. The combined model might be more suitable for the death risk evaluation of COVID-19.

9.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-313408

ABSTRACT

The authors have withdrawn this preprint due to author disagreement.

10.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-325389

ABSTRACT

Background: Recent evidences have shown that gut microbiome of patients with COVID-19 significantly changes and can reflect the severity of the disease. And gut microbiota richness was not restored to normal levels after 6-month recovery. However, SARS-CoV-2 primarily infects the respiratory tract, few studies investigate whether the alterations of oropharyngeal microbiome is associated with disease severity in patients with COVID-19, and whether interferences in microbiome composition, if any, eliminate with clearance of the SARS-CoV-2 virus. We employed metatranscriptomic sequencing to analyse oropharyngeal swabs collected within a week of diagnosis COVID-19 (period of disease group: PDG) and two months after clearance of the SARS-CoV-2 virus (convalescent group: CG) from 47 patients with COVID-19. Meanwhile, oropharyngeal swabs from 40 healthy subjects were analyzed as healthy control group (HCG). Results: : Oropharyngeal microbial composition was significantly altered in patients with COVID-19 compared with healthy controls even two months after clearance of the SARS-CoV-2 virus. Little changes in α-diversity among HCG, PDG and CG ( P >0.05), but obviously changes in β-diversity among them. Notably, Prevotella increased significantly in PDG than that in HCG (Wilcoxon rank-sum test, P <0.001) and increased gradually along with the severity of patients with COVID-19 aggravated. There was a positive correlation between Prevotella and the elevation of Neutrophil percentage (R = 0.301, P = 0.040). Similarly, SARS-CoV-2 and Aspergillus increased remarkably in critical Patients with COVID-19. There was a negative correlation between SARS-CoV-2 viral load and platelet counts (R = −0.330, P = 0.022). Conclusions: : The oropharyngeal microbiome in patients with COVID-19 present persistent dysbiosis even two months after clearance of the SARS-CoV-2 virus. Furthermore, alterations in oropharyngeal microbial composition reflected the severity of disease in patients with COVID-19. Our findings underscore that there is an urgent need to understand the specific roles of oropharyngeal microorganisms in COVID-19 disease progression and rehabilitation.

11.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325050

ABSTRACT

Backgrounds: : The outbreak of COVID-19 caused by a novel coronavirus, SARS-CoV-2, has been listed as a public health emergency of international concern by WHO. Most COVID-19 patients presented with a mild infection, but many challenges exist in therapy of severe and critical severe patients. This paper systematically reviewed clinical features, treatments and outcomes of severe and critical severe patients infected COVID-19. Methods: The clinical, laboratory, imaging features, treatment and outcomes of COVID-19 were collected. The data were analyzed by using STATA 15 statistical software to estimate the prevalence and 95% CI in severe and critical severe patients with COVID-19. A random or fixed effect model was used to estimate the prevalence and 95% CI. Results: After screening, 8 studies including a total of 275 patients were included in this meta-analysis. The percentage of severe and critical severe patients in confirmed COVID-19 cases was 25% (95% CI 16-36%). Fever, cough, dyspnea, lymphopenia and bilateral distribution of patchy shadows were the most prevalent findings in these patients. Utilization rate of antiviral drugs, corticosteroid, non-invasive ventilation, invasive mechanical ventilation was high in therapy strategies. The most prevalent complications were ARDS, shock, and acute cardiac injury. Discussion: Severe and critical severe COVID-19 patients usually had complications even a fatal outcome. As vaccines and anti-coronaviral drugs are under development, the principles of treatment for these patients should be focused on improving oxygenation, lung protective and function support of multiple organs.

12.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325034

ABSTRACT

Background: A large-scale global outbreak of coronavirus disease-19 (COVID-19) out of Wuhan, from China, occurred in January 2020. Objective: To examine the clinical characteristics of COVID-19in infected patients out of Wuhan, from China. Patients and Methods: Thirteen patients were confirmed to be infected with novel coronavirus-2019 (2019-nCoV) between January 27andFebruary 8, 2020, in Baoji city, Shanxi, northwestern China. Epidemiological and clinical information, and computed to morphology imaging data from all COVID-19 patients were collected;cases were divided into two groups according to the severity of infection (mild or severe). Results: : Nine (9/13) COVID-19patientsexhibitedmild disease severity, and defined as second-generation, human-to-human transmission cases. Most patients (11/13) had a history of travel to or from Wuhan. There were no differences in sex and age between the mild and severe cases (all P >0.05). A moderate degree of fever (11/13), cough (13/13), and fatigue (8/13) were common symptoms;however, there was no statistical difference between mild and severe cases in this regard (all P >0.05). Oxyhemoglobin saturation and oxygenation index decreased, and C-reactive protein (CRP) and serum amyloid A (SAA) levels were elevated in all patients with COVID-19infection, with statistically significant differences between those with severe disease and mild infection (all P <0.05).Twelve of 13COVID-19patients exhibited changes in chest CT imaging features, and time course changes were different between mild and severe cases (all P <0.05). Conclusion: Most cases of COVID-19infection were second-generation human-to-human transmissions from Wuhan and were mild in severity. The clinical characteristics of COVID-19varied.Oxyhemoglobin saturation, oxygenation index, CRP and SAA levels, and CT features were reliable parameters to evaluate the severity of COVID-19 infection. However, a few patients with mild COVID-19diseaselackedtypicalcharacteristics such as fever and changes in CT imaging features.

13.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-323928

ABSTRACT

Background: In December 2019, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei, China. Moreover, it has become a global pandemic. This is of great value in describing the clinical symptoms of COVID-19 patients in detail and looking for markers which are significant to predict the prognosis of COVID-19 patients. Methods: In this multicenter, retrospective study, 476 patients with COVID-19 were enrolled from a consecutive series. After screening, a total of 395 patients were included in this study. All-cause death was the primary endpoint. All patients were followed up from admission till discharge or death. Results: The main symptoms observed in the study included fever on admission, cough, fatigue, and shortness of breath. The most common comorbidities were hypertension and diabetes mellitus. Patients with lower CD4 + T cell level were older and more often male compared to those with higher CD4 + T cell level. Reduced CD8 + T cell level was an indicator of the severity of COVID-19. Both decreased CD4 + T [HR:13.659;95%CI: 3.235-57.671] and CD8 + T [HR: 10.883;95%CI: 3.277-36.145] cell levels were associated with in-hospital death in COVID-19 patients, but only the decrease of CD4 + T cell level was an independent predictor of in-hospital death in COVID-19 patients. Conclusions: Reductions in lymphocytes and lymphocyte subsets were common in COVID-19 patients, especially in severe cases of COVID-19. It was the CD8 + T cell level, not the CD4 + T cell level, that reflected the severity of the patient’s disease. Only reduced CD4 + T cell level was independently associated with increased in-hospital death in COVID-19 patients. Trial registration: Prognostic Factors of Patients With COVID-19, NCT04292964. Registered 03 March 2020. https://clinicaltrials.gov/ct2/show/NCT04292964. Retrospectively registered.

14.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-323568

ABSTRACT

Background: There is limited information on the difference in epidemiology, clinical characteristics and outcomes of the initial outbreak of the coronavirus disease (COVID-19) in Wuhan (the epicenter) and Sichuan (the peripheral area) in the early phase of the COVID-19 pandemic. This study was conducted to investigate the differences in the epidemiological and clinical characteristics of patients with COVID-19 between the epicenter and peripheral areas of pandemic and thereby generate information that would be potentially helpful in formulating clinical practice recommendations to tackle the COVID-19 pandemic. Methods: The Sichuan & Wuhan Collaboration Research Group for COVID-19 established two retrospective cohorts that separately reflect the epicenter and peripheral area during the early pandemic. The epidemiology, clinical characteristics and outcomes of patients in the two groups were compared. Multivariate regression analyses were used to estimate the adjusted odds ratios (aOR) with regard to the outcomes. Results: The Wuhan (epicenter) cohort included 710 randomly selected patients, and the peripheral (Sichuan) cohort included 474 consecutive patients. A higher proportion of patients from the periphery had upper airway symptoms, whereas a lower proportion of patients in the epicenter had lower airway symptoms and comorbidities. Patients in the epicenter had a higher risk of death (aOR=7.64), intensive care unit (ICU) admission (aOR=1.66), delayed time from illness onset to hospital and ICU admission (aOR=6.29 and aOR=8.03, respectively), and prolonged duration of viral shedding (aOR=1.64). Conclusions: The worse outcomes in the epicenter could be explained by the prolonged time from illness onset to hospital and ICU admission. This could potentially have been associated with elevated systemic inflammation secondary to organ dysfunction and prolonged duration of virus shedding independent of age and comorbidities. Thus, early supportive care could achieve better clinical outcomes.

15.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-323545

ABSTRACT

Accurate lung nodules segmentation from Computed Tomography (CT) images is crucial to the analysis and diagnosis of lung diseases such as COVID-19 and lung cancer. However, due to the smallness and variety of lung nodules and the lack of high-quality labeling, accurate lung nodule segmentation is still a challenging problem. To address these issues, we propose a complete paradigm for accurate lung nodules segmentation. First, we introduce a new segmentation mask named Soft Mask which has richer and more accurate edge details description and better visualization. Correspondingly, we develop a universal semi-automatic Soft Mask annotation pipeline to deal with different datasets. Second, a novel Network with Detailed representation transfer and Soft Mask supervision (DSNet) is proposed to process the input low-resolution images of lung nodules into high-quality segmentation results. In our DSNet, we design a novel Selective Detailed Representation Fusion Module to reconstruct the detailed representation to alleviate the small size of lung nodules images. In addition, the adversarial training framework with Soft Mask is proposed to further improve the accuracy of segmentation. Extensive experiments validate that our DSNet outperforms the state-of-the-art methods for accurate lung nodules segmentation. And our method also demonstrates competitive results in other accurate medical segmentation tasks. Besides, we provide a new challenging lung nodules segmentation dataset for further studies.

16.
Interfaces ; 52(1):42, 2022.
Article in English | ProQuest Central | ID: covidwho-1686056

ABSTRACT

JD.com pioneered same-day delivery as a standard service in China's business-to-consumer e-commerce sector in 2010. To balance the urgent need to meet growing demands while maintaining high-quality logistics services, the company built intelligent warehouses that use analytics to significantly improve warehouse efficiency. The brain of the intelligent warehouse system is the dispatching algorithm for storage rack-moving robots, which makes real-time dispatching decisions among robots, racks, and workstations after solving large-scale integer programs in seconds. The intelligent warehouse technology has helped the company decrease its fulfillment expense ratio to a world-leading level of 6.5%. The construction of intelligent warehouses has led to estimated annual savings of hundreds of millions of dollars. In 2020, JD.com delivered 90% of its first-party-owned retail orders on the same day or on the day after the order was placed. The agility of such intelligent warehouses has allowed JD.com to handle 10 times the normal volume of orders during peak sales seasons and has also helped the company respond quickly to COVID-19 and ensure the rapid recovery of production capabilities.

17.
Nat Med ; 26(6): 845-848, 2020 06.
Article in English | MEDLINE | ID: covidwho-1641979

ABSTRACT

We report acute antibody responses to SARS-CoV-2 in 285 patients with COVID-19. Within 19 days after symptom onset, 100% of patients tested positive for antiviral immunoglobulin-G (IgG). Seroconversion for IgG and IgM occurred simultaneously or sequentially. Both IgG and IgM titers plateaued within 6 days after seroconversion. Serological testing may be helpful for the diagnosis of suspected patients with negative RT-PCR results and for the identification of asymptomatic infections.


Subject(s)
Antibodies, Viral/blood , Antibody Formation/drug effects , Betacoronavirus/pathogenicity , Coronavirus Infections/drug therapy , Pneumonia, Viral/drug therapy , Adult , Aged , Antibody Formation/immunology , Antiviral Agents/therapeutic use , Betacoronavirus/genetics , COVID-19 , Coronavirus Infections/blood , Coronavirus Infections/immunology , Coronavirus Infections/virology , Female , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , Male , Middle Aged , Pandemics/prevention & control , Pneumonia, Viral/blood , Pneumonia, Viral/immunology , Pneumonia, Viral/virology , SARS-CoV-2
19.
World J Emerg Med ; 12(4): 287-292, 2021.
Article in English | MEDLINE | ID: covidwho-1579977

ABSTRACT

BACKGROUND: This study aims to compare the epidemiological, clinical and laboratory characteristics between patients with coronavirus disease (COVID-19) and influenza A (H1N1), and to develop a differentiating model and a simple scoring system. METHODS: We retrospectively analyzed the data from patients with COVID-19 and H1N1. The logistic regression model based on clinical and laboratory characteristics was constructed to distinguish COVID-19 from H1N1. Scores were assigned to each of independent discrimination factors based on their odds ratios. The performance of the prediction model and scoring system was assessed. RESULTS: A total of 236 patients were recruited, including 20 COVID-19 patients and 216 H1N1 patients. Logistic regression revealed that age >34 years, temperature ≤37.5 °C, no sputum or myalgia, lymphocyte ratio ≥20% and creatine kinase-myocardial band isoenzyme (CK-MB) >9.7 U/L were independent differentiating factors for COVID-19. The area under curves (AUCs) of the prediction model and scoring system in differentiating COVID-19 from H1N1 were 0.988 and 0.962, respectively. CONCLUSIONS: There are certain differences in clinical and laboratory features between patients with COVID-19 and H1N1. The simple scoring system may be a useful tool for the early identification of COVID-19 patients from H1N1 patients.

20.
Front Cardiovasc Med ; 8: 756790, 2021.
Article in English | MEDLINE | ID: covidwho-1574359

ABSTRACT

Background: Coronavirus disease 2019 can result in myocardial injury in the acute phase. However, information on the late cardiac consequences of coronavirus disease 2019 (COVID-19) is limited. Methods: We conducted a prospective observational cohort study to investigate the late cardiac consequences of COVID-19. Standard echocardiography and myocardial strain assessment were performed, and cardiac blood biomarkers were tested in 86 COVID-19 survivors 327 days (IQR 318-337 days) after recovery. Comparisons were made with 28 age-matched and sex-matched healthy controls and 30 risk factor-matched patients. Results: There were no significant differences in all echocardiographic structural and functional parameters, including left ventricular (LV) global longitudinal strain, right ventricular (RV) longitudinal strain, LV end-diastolic volume, RV dimension, and the ratio of peak early velocity in mitral inflow to peak early diastolic velocity in the septal mitral annulus (E/e') among COVID-19 survivors, healthy controls and risk factor-matched controls. Even 26 patients with myocardial injury at admission did not have any echocardiographic structural and functional abnormalities. There were no significant differences among the three groups with respect to serum concentrations of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin I (cTnI). Conclusion: This study showed that COVID-19 survivors, including those with myocardial injury at admission and those with severe and critical types of illness, do not have any echocardiographic evidence of cardiac structural and functional abnormalities 327 days after diagnosis.

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