Coronavirus Disease 2019 In Wuhan Research Articles

Effects of Metformin on COVID-19 Patients with Type 2 Diabetes: A Retrospective Study.

The pandemic of coronavirus disease 2019 (COVID-19) has highlighted the intricate relationship between underlying conditions and death. We designed this study to determine whether metformin therapy for type 2 diabetes mellitus (T2D) is associated with low in-hospital mortality in patients hospitalized for COVID-19. This was a retrospective study including patients with COVID-19 and T2D in Wuhan, from February 4th to April 11th, 2020. Patients were divided into two groups according to metformin exposure. The hazard ratio (HR) of COVID-19-related mortality and invasive mechanical ventilation was estimated using Cox regression. There were 571 T2D patients among the 4330 confirmed COVID-19 patients. Of those patients, 241 received metformin therapy. The in-hospital mortality and invasive mechanical ventilation of metformin group was lower than non-metformin group. In the multivariate model, metformin use was linked to a decreased in-hospital mortality and invasive mechanical ventilation when compared with that of the control group (HR: 0.376 [95% CI 0.154-0.922]; P = 0.033). Our study indicated that metformin therapy was associated with decreased death risk in COVID-19 patients with T2D.

Pre-coronavirus disease 2019 brain structure might be associated with social anxiety alterations during the pandemic.

Pre-coronavirus disease 2019 brain structure might be associated with social anxiety alterations during the pandemic.

Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model.

The coronavirus disease 2019 (COVID-19) pandemic has greatly damaged human society, but the origins and early transmission patterns of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen remain unclear. Here, we reconstructed the transmission networks of SARS-CoV-2 during the first three and six months since its first report based on ancestor-offspring relationships using BANAL-52-referenced mutations. We explored the position (i.e., root, middle, or tip) of early detected samples in the evolutionary tree of SARS-CoV-2. In total, 6 799 transmission chains and 1 766 transmission networks were reconstructed, with chain lengths ranging from 1-9 nodes. The root node samples of the 1 766 transmission networks were from 58 countries or regions and showed no common ancestor, indicating the occurrence of many independent or parallel transmissions of SARS-CoV-2 when first detected (i.e., all samples were located at the tip position of the evolutionary tree). No root node sample was found in any sample ( n=31, all from the Chinese mainland) collected in the first 15 days from 24 December 2019. Results using six-month data or RaTG13-referenced mutation data were similar. The reconstruction method was verified using a simulation approach. Our results suggest that SARS-CoV-2 may have already been spreading independently worldwide before the outbreak of COVID-19 in Wuhan, China. Thus, a comprehensive global survey of human and animal samples is essential to explore the origins of SARS-CoV-2 and its natural reservoirs and hosts.

Clinical features of elderly patients with COVID-19 in Wuhan, China.

Elderly patients with coronavirus disease 2019 (COVID-19) who have comorbidities, frailty or profound disabilities experience poor outcomes. We analyzed the clinical characteristics of elderly patients from Wuhan who had COVID-19 during the early stages of the pandemic. To identify factors affecting the early mortality of elderly patients with COVID-19. The records of 234 patients who were 65-years-old or more and were hospitalized in Wuhan Huoshenshan Hospital from February 4 to March 4, 2020 were reviewed. All patients had confirmed COVID-19 and the final date of follow-up was April 4, 2020. There were 163 cases of mild disease (69.66%), 39 cases of severe disease (16.67%) and 32 cases of critical disease (13.68%). Twenty-nine patients died within 1 mo (12.40%), all of whom had critical disease. Surviving patients and deceased patients had no significant differences in age or chronic diseases. Overall, the most common symptoms were fever (65.4%), dry cough (57.3%), fatigue (47.4%) and shortness of breath (41%). The deceased patients had higher levels of multiple disease markers (C-reactive protein, D-dimer, lactate dehydrogenase, alanine amino transferase, aspartate aminotransferase, creatinine kinase and creatinine kinase-MB) and higher incidences of lymphocytopenia and hypoproteinemia. This single-center study of elderly patients from Wuhan, China who were hospitalized with COVID-19 indicated that age and chronic diseases were not associated with mortality. Hypertension, diabetes and cardiovascular disease were the most common comorbidities and the most common symptoms were fever, dry cough, fatigue and shortness of breath. Lymphocytopenia, increased levels of D-dimer and other markers indicative of damage to the heart, kidneys or liver were associated with an increased risk of death.

Infection control management strategy for operating room during COVID-19 pandemic

Coronavirus disease 2019 (COVID-19) outbreaks have occurred in many countries around the world. The numbers of confirmed cases and deaths continue to increase. It is increasingly likely that COVID-19 patients will require emergency surgeries in the operating room (OR). As COVID-19 can easily be transmitted to healthcare workers and other patients during surgery, it is important to establish a set of infection prevent and control management strategy to prevent COVID-19 from spreading in the OR. Based on our experience in COVID-19 prevention and control in the OR, we introduce this COVID-19 prevention and control management strategy for preventing COVID-19 from spreading in the OR. This management strategy includes a number of COVID-19 prevention and control procedures including (I) conduct COVID-19 knowledge training at the early stage of outbreak, (II) formulate the surgery arrangement procedures and suspend the elective surgery if the patient confirmed to COVID-19, (III) divide an isolated OR area for COVID-19 surgery, (IV) preoperative preparation procedures, (V) procedures for wearing and removing personal protective equipment, (VI) anesthesia management, intraoperative management, (VII) post-operative disposable waste management and disinfection. This management strategy has worked very effectively since the outbreak of COVID-19 in Wuhan at the end of 2019. We have performed emergency surgeries on several COVID-19 confirmed patient and dozens of COVID-19 suspected patients under this COVID-19 prevention and control management strategy, and have achieved an excellent result of zero COVID-19 infection in the OR.

Uncertainty Modeling of a Modified SEIR Epidemic Model for COVID-19.

Simple SummaryThis paper proposes a modified SEIR model to study COVID-19 in Wuhan. The modified model is calibrated by the public number of COVID-19 hospitalization cases in Wuhan. The paper further uses this model to estimate the earliest date of COVID-19 infection in Wuhan, which is in agreement with some existing results.Based on SEIR (susceptible–exposed–infectious–removed) epidemic model, we propose a modified epidemic mathematical model to describe the spread of the coronavirus disease 2019 (COVID-19) epidemic in Wuhan, China. Using public data, the uncertainty parameters of the proposed model for COVID-19 in Wuhan were calibrated. The uncertainty of the control basic reproduction number was studied with the posterior probability density function of the uncertainty model parameters. The mathematical model was used to inverse deduce the earliest start date of COVID-19 infection in Wuhan with consideration of the lack of information for the initial conditions of the model. The result of the uncertainty analysis of the model is in line with the observed data for COVID-19 in Wuhan, China. The numerical results show that the modified mathematical model could model the spread of COVID-19 epidemics.

Anticoagulation as secondary prevention of massive lung thromboses in hospitalized patients with COVID-19

Anticoagulation as secondary prevention of massive lung thromboses in hospitalized patients with COVID-19

Weight excess association with severity in children and adolescents with COVID-19: A systematic review.

Background & aimsConcomitantly to the coronavirus disease 2019 (COVID-19), in the child population there was already another pandemic wave in progress: childhood obesity. Numerous studies in adults have been carried out and describe obesity as an independent risk and prognostic factor for the severity of COVID-19. This study aims to systematically review the literature on the relation between weight excess and the severity of COVID-19 in children and adolescents.MethodsThis systematic review was developed following the PRISMA standards (Preferred Reporting Items for Systematic Review and Meta-Analysis). The literature search was performed in September 2020, in the following databases: MEDLINE (via PubMed), Embase, Scopus, The Cochrane Library (Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials (CENTRAL)), Web of Science, BVS/LILACS and SciELO. Registration on the PROSPERO platform (International Prospective Registry of Systematic Reviews) can be found under the registration number: CRD42021230686.ResultsOf the 667 selected articles, 11 were included according to all agreed criteria, most of them being unicentric and American. In assessing the risk of bias and quality, following the criteria of the Newcastle–Ottawa Scale, eight studies achieved scores higher than 7. Only 5 studies sought to assess obesity and its relation with worse outcomes (such as need for pediatric intensive care unit (PICU), mechanical ventilation (MV), tracheostomy, hospital readmission and mortality), and out of these, only one article demonstrated this comorbidity as a prognostic factor for worse evolution of the COVID picture.ConclusionsFew studies in the literature seek to assess excess weight and its relation with worse outcomes of COVID-19 in children and adolescents. Taking into account that there is already scientific evidence on this subject in adult patients, it is necessary to carry out more research in the pediatric age group.

Cross-sectional study of traumatic stress disorder in frontline nurses 6 mo after the outbreak of the COVID-19 in Wuhan.

BACKGROUNDFrontline nurses in Wuhan directly fighting severe acute respiratory syndrome coronavirus-2 diseases are at a high risk of infection and are extremely susceptible to psychological stress, especially due to the global coronavirus disease 2019 (COVID-19) pandemic. The psychological after-effects of this public health emergency on frontline nurses will last for years.AIMTo assess factors influencing post-traumatic stress disorder (PTSD) among frontline nurses in Wuhan 6 mo after the COVID-19 pandemic began.METHODSA total of 757 frontline nurses from five hospitals in Wuhan, China, participated in an online survey from July 27 to August 13, 2020. This cross-sectional online study used a demographic information questionnaire, the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders, the Connor-Davidson Resilience Scale, and the Patient Health Questionnaire-4. The chi-square test and logistic regression were used to analyze the association of demographics, COVID-19-related variables, and PTSD. Logistic regression was also conducted to investigate which variables were associated with PTSD outcomes.RESULTSA total of 13.5%, 24.3%, and 21.4% of the frontline nurses showed symptoms of PTSD, depression, and anxiety, respectively. The multivariate logistic regression analysis showed that the following factors were strongly associated with PTSD: Having a relative, friend, or colleague who died of COVID-19; experiencing stigma; or having psychological assistance needs, depressive symptoms or anxiety. Showing resilience and receiving praise after the COVID-19 outbreak were protective factors.CONCLUSIONFrontline nurses still experienced PTSD (13.5%) six months after the COVID-19 outbreak began. Peer support, social support, official recognition, reward mechanisms, exercise, better sleep, and timely provision of information (such as vaccine research progress) by the government via social media, and adequate protective supplies could mitigate the level of PTSD among nurses responding to COVID-19. Stigmatization, depression, and anxiety might be associated with a greater risk of PTSD among nurses.

Complex network-based research on organization collaboration and cooperation governance responding to COVID-19

PurposeWith multiple-related organizations, worldwide infections, deep economic recession and public disorder, and large consumption amount of anti-epidemic resources, the coronavirus disease 2019 (COVID-19) has been defined as a public health emergency of international concern (PHEIC). Nowadays, Wuhan has recovered from the pandemic disaster and reentered normalization. The purposes of this study are to (1) summarize organization collaboration patterns, successful experience and latent defects under across-stage evolution of Wuhan's cooperation governance mode against the pandemic, and on the basis, (2) reveal how the COVID-19 development trends and organizations' collaborative behaviors affected each other.Design/methodology/approachDetailed content analysis of online news reports covering COVID-19 prevention and control measures on the website of Wuhan Municipal Government was adopted to identify organizations and their mutual collaborative interrelationships. Four complex network (CN) models of organization collaboration representing the outbreak, preliminary control, recession and normalization stages, respectively, were established then. Time-span-based dynamic parameter analyses of the proposed networks, comprising network cohesiveness analysis and node centrality analysis, were undertaken to indicate changes of global and local characteristics in networks.FindingsFirst, the definite collaborative status of Wuhan Headquarters for Pandemic Prevention and Control (WHPPC) has persisted throughout the period. Medical institutions and some other administrations were the most crucial participants collaborating with the WHPPC. Construction-industry organizations altered pandemic development trends twice to make the situation controllable. Media, large-scale enterprises, etc. set about underscoring themselves contributions since the third stage. Grassroots cadres and healthcare force, small and medium-sized enterprises (SMEs), financial institutions, etc. were essential collaborated objects. Second, four evolution mechanisms of organization collaboration responding to the COVID-19 in Wuhan has been proposed.Research limitations/implicationsFirst, universality of Wuhan-style governance experience may be affected. Second, the stage-dividing process may not be the most appropriate. Then, data source was single and link characteristics were not considered when modeling.Practical implicationsThis study may offer beneficial action guidelines to governmental agencies, the society force, media, construction-industry organizations and the market in other countries or regions suffering from COVID-19. Other organizations involved could also learn from the concluded organizations' contributions and four evolution mechanisms to find improvement directions.Originality/valueThis study adds to the current theoretical knowledge body by verifying the feasibility and effectiveness of investigating cooperation governance in public emergencies from the perspectives of analyzing the across-stage organization collaboration CNs.

Free Papers Compiled

Free Papers Compiled

Olfactory and gustatory dysfunctions in patients with COVID-19 in Wuhan, China

The coronavirus disease 2019 (COVID-19) is spreading all over the world. The main symptoms of COVID-19 include fever, cough, fatigue, and myalgia. However, there are few reports on olfactory and gustatory dysfunctions in patients with COVID-19. Our objective was to investigate the incidence of olfactory and gustatory dysfunctions in patients with COVID-19 infection in Wuhan, China. In this retrospective study, we collected 81 confirmed cases of COVID-19 from the Renmin Hospital of Wuhan University from February 2020 to March 2020, and analyzed the demographic characteristics, clinical manifestations (including olfactory and gustatory dysfunctions), laboratory findings, and comorbidities. In total, 81 confirmed COVID-19 patients were enrolled in this study (38 males and 43 females). The study showed that the most prevalent symptoms included cough, myalgia, and loss of appetite. On admission, 25 (30.9%) of all patients reported either olfactory dysfunction (OD) or gustatory dysfunction (GD), and 7 (8.6%) reported both OD and GD. Overall, 13.6% and 25.9% of all patients reported OD and GD, respectively. OD and GD were not associated with disease severity. Pearson correlation analysis identified some factors that are correlated with OD and GD, including headache or dizziness (r = 0.342, P = 0.002), dark urine (r = 0.256, P = 0.021), IgM titer (r = 0.305, P = 0.01), and diabetes (r = 0.275, P = 0.013). Multivariate adjusted logistic analysis showed that patients with headache or dizziness (OR = 7.382, 95%CI: 1.028-53.022) and diabetics (OR = 6.871, 95%CI: 1.096-43.086) were at higher risk of developing OD. In addition, patients with high IgM titers (OR = 1.006, 95%CI: 1.000-1.006) and diabetes (OR = 4.335, 95%CI: 1.098-17.287) were at high risk of developing GD. In 81.8% of the cases with OD and 28.6% of the cases with GD, the symptoms lasted for at least one month after discharge. In addition, 3.6% of inpatients without OD developed OD after discharge. These findings suggest that OD and GD are common in COVID-19. These symptoms appear early during the course of the disease and may last for one month. The incidence of OD and GD is related to neurological manifestations, diabetics, and IgM titers.

Symptoms of Dry Eye Disease in Hospitalized Patients with Coronavirus Disease 2019 (COVID-19).

Background We aimed to investigate the symptoms of the dry eye disease (DED) of hospitalized patients with coronavirus disease 2019 (COVID-19). Methods This cross-sectional, observational study analysis included 91 hospitalized patients with confirmed COVID-19 in Wuhan, China. The Ocular Surface Disease Index (OSDI) and the five-item Dry Eye Questionnaire (DEQ-5) were used to assess the severity of DED symptoms in the patients, and the analysis of variance was used to determine the factors associated with DED. Results A total of 42 patients consented to complete the investigation (response rate 46.15%). There were 26 (61.90%) patients who were diagnosed with DED symptoms by OSDI, and there were 28 (66.67%) patients with DED symptoms who were diagnosed by DEQ-5 score. For the biochemical tests, the patients with DED symptoms had lower aspartate aminotransferase (AST) levels compared to those with no DED symptoms (20.86 vs. 42.14, p=0.04). Further analysis showed that a previous history of cardiac or stroke disease (p=0.02) and typical symptoms of muscle soreness (p=0.03) were significantly different among the four DED symptoms groups on the basis of OSDI scores. The contributing factors of OSDI were mainly focused on visual function and environmental triggers. Conclusion The incidence of DED symptoms is higher in hospitalized patients with COVID-19. The serum AST levels, history of cardiac or stroke disease, and the typical symptoms of muscle soreness may be the main impact factors on DED symptoms. We also need to pay more attention to the visual function and environmental triggers of hospitalized patients with COVID-19.

Investigating the effectiveness of re-opening policies before vaccination during a pandemic: SD modelling research based on COVID-19 in Wuhan

BackgroundLockdown policies were widely adopted during the coronavirus disease 2019 (COVID-19) pandemic to control the spread of the virus before vaccines became available. These policies had significant economic impacts and caused social disruptions. Early re-opening is preferable, but it introduces the risk of a resurgence of the epidemic. Although the World Health Organization has outlined criteria for re-opening, decisions on re-opening are mainly based on epidemiologic criteria. To date, the effectiveness of re-opening policies remains unclear.MethodsA system dynamics COVID-19 model, SEIHR(Q), was constructed by integrating infection prevention and control measures implemented in Wuhan into the classic SEIR epidemiological model and was validated with real-world data. The input data were obtained from official websites and the published literature.ResultsThe simulation results showed that track-and-trace measures had significant effects on the level of risk associated with re-opening. In the case of Wuhan, where comprehensive contact tracing was implemented, there would have been almost no risk associated with re-opening. With partial contact tracing, re-opening would have led to a minor second wave of the epidemic. However, if only limited contact tracing had been implemented, a more severe second outbreak of the epidemic would have occurred, overwhelming the available medical resources. If the ability to implement a track-trace-quarantine policy is fixed, the epidemiological criteria need to be further taken into account. The model simulation revealed different levels of risk associated with re-opening under different levels of track-and-trace ability and various epidemiological criteria. A matrix was developed to evaluate the effectiveness of the re-opening policies.ConclusionsThe SEIHR(Q) model designed in this study can quantify the impact of various re-opening policies on the spread of COVID-19. Integrating epidemiologic criteria, the contact tracing policy, and medical resources, the model simulation predicts whether the re-opening policy is likely to lead to a further outbreak of the epidemic and provides evidence-based support for decisions regarding safe re-opening during an ongoing epidemic.KeyordsCOVID-19; Risk of re-opening; Effectiveness of re-opening policies; IPC measures; SD modelling.

Association of diabetes with severity and mortality in hospitalized patients with COVID-19 in Wuhan, China: a single-centered, retrospective study.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread worldwide. The aim this study was to investigate the association of diabetes with severity and mortality among hospitalized patients with COVID-19 in Wuhan, China. This retrospective, single-center case study enrolled a total of 564 patients diagnosed with COVID-19 at the Seventh Hospital of Wuhan City, between January 20 and March 15, 2020. Among the 564 patients with confirmed COVID-19, 509 (85.1%) were discharged and 55 (9.8%) died. The median age was 59 years (range, 10-93 years). A total of 85 (15.1%) patients were diagnosed with diabetes on admission (median age, 65.0 [range, 34-91] years). Patients with diabetes had significantly higher proportions of critical cases (24 [28.2%] vs. 66 [13.8%]) and in-hospital mortality (17 [20%] vs. 38 [7.9%]). Moreover, patients with diabetes presented abnormal levels of multiple indicators concerning lymphopenia, inflammation, heart, liver, kidney, and lung function on admission, while diabetic patient group still display higher troponin T (TnT) levels when approaching discharge. The Kaplan-Meier survival curve indicated a trend toward poorer survival in diabetic patients compared to non-diabetic patients, also evidenced by abnormal laboratory biomarker changes regarding multiple system impairments among COVID-19 patients with diabetes with in-hospital death. The detailed clinical investigation of 564 hospitalized patients with COVID-19 indicated a considerable association between diabetes and COVID-19 severity or mortality. Thus, more intensive treatment may be considered for COVID-19 patients with diabetes, especially regarding to cardiac injury.

Regional Differences in Epidemiological and Clinical Characteristics, Treatment, and Clinical Outcomes of COVID-19 in Wuhan and Remote Areas of Hubei Province.

Background: The Coronavirus disease 2019 (COVID-19) pandemic has been a major threat to global health. Regional differences in epidemiological and clinical characteristics, treatment and outcomes of patients have not yet been investigated. This study was conducted to investigate these differences amongCOVID-19 patients in Hubei Province, China.Methods: This retrospective cross-sectional study analyzed data on 289 COVID-19 patients from designated hospitals in three regions:Urban (Wuhan Union West Hospital), Suburban areas of Wuhan (Hannan Hospital) and Enshi city, between February 8 and 20, 2020. The final date of follow-up was December 14th, 2020. The outcomes were case fatality rate and epidemiological and clinical data.Results: Urban Wuhan experienced a significantly higher case fatality rate (21.5%) than suburban Wuhan (5.23%) and rural area of Enshi (3.51%). Urban Wuhan had a higher proportion of patients on mechanical ventilation (24.05%) than suburban Wuhan (0%) and rural Enshi (3.57%). Treatment with glucocorticoids was equivalent in urban and suburban Wuhan (46.84 and 45.75%, respectively) and higher than Enshi (25.00%). Urban Wuhan had a higher proportion of patients with abnormal tests including liver function and serum electrolytes and a higher rate of pneumonia (p < 0.01 for all). Urban Wuhan also had a higher incidence of respiratory failure, heart disease, liver disease and shock, compared with the other two regions (all p < 0.05).Conclusions: Our findings revealed that there are regional differences in COVID-19. These findings provide novel insights into the distribution of appropriate resources for the prevention, control and treatment of COVID-19 for the global community.

Efficacy and safety of Xuanfei Baidu granules for treating COVID-19: A protocol for systematic review and meta-analysis.

Background:Corona Virus Disease 2019 (COVID-19) is currently prevalent in most countries around the world. It has become a common threat to global human health because there is no specific cure and no targeted treatment for this disease at this stage. Xuanfei Baidu granule (XFBD) included the traditional Chinese medicine prescription in COVID-19 diagnosis and treatment Plan (trial eighth Edition) released in August 2020, which has played a great role in the diagnosis and treatment of COVID-19 in Wuhan, China. This paper intends to evaluate the efficacy and safety of Xuanfei Baidu granule in the treatment of COVID-19.Methods:The search strategies of different websites were searched on Cochrane Central controlled Trials Registry, PubMed, excerpt database, Web of science, China National knowledge Infrastructure, Chinese Science and Technology Journal Database, WanFang and other websites. All qualified studies were confirmed to include randomized controlled trials. The search time range was from January 1, 2019 to February 28, 2021. In the meanwhile, the list of references and related reviews was checked. Two evaluators were responsible for the extraction and management of the data independently. The literature quality was evaluated according to Cochrane manual 4.2.2. Heterogeneity test and Meta analysis were carried out by Review Manager V.5.3 software. The bias risk included in the study was evaluated by Cochrane “bias risk” tool, and the relevant statistical data were evaluated by GRADE3.6 evidence quality grading system.Results:This study intends to evaluate the efficacy and safety of XFBD in the treatment of COVID-19 from 4 aspects, including nucleic acid negative conversion time, average hospital stay, clinical symptom improvement rate and lung computed tomography improvement rate.Conclusion:The conclusion of this scheme intends to provide evidence for judging whether the intervention of XFBD on COVID-19 patients is effective or not.PROSPERO registration number:CRD42021245640

A retrospective analysis of 12,400 SARS-CoV-2 RNA tests in patients with COVID-19 in Wuhan.

The outbreak and widely spread of coronavirus disease 2019 (COVID-19) has become a global public health concern. COVID-19 has caused an unprecedented and profound impact on the whole world, and the prevention and control of COVID-19 is a global public health challenge remains to be solved. The retrospective analysis of the large scale tests of SARS-CoV-2 RNA may indicate some important information of this pandemic. We selected 12400 SARS-CoV-2 tests detected in Wuhan in the first semester of 2020 and made a systematic analysis of them, in order to find some beneficial clue for the consistent prevention and control of COVID-19.SARS-CoV-2 RNA was detected in suspected COVID-19 patients with real-time fluorescence quantitative PCR (RT-qPCR). The patients’ features including gender, age, type of specimen, source of patients, and the dynamic changes of the clinical symptoms were recorded and statistically analyzed. Quantitative and qualitive statistical analysis were carried out after laboratory detection.The positive rate of SARS-CoV-2 was 33.02% in 12,400 suspected patients’ specimens in Wuhan at the first months of COVID-19 epidemics. SARS-CoV-2 RT-qPCR test of nasopharyngeal swabs might produce 4.79% (594/12400) presumptive results. The positive rate of SARS-CoV-2 RNA was significantly different between gender, age, type of specimen, source of patients, respectively (P < .05). The median window period from the occurrence of clinical symptom or close contact with COVID-19 patient to the first detection of positive PCR was 2 days (interquartile range, 1–4 days). The median interval time from the first SARS-CoV-2 positive to the turning negative was 14 days (interquartile range, 8–19.25 days).This study reveals the comprehensive characteristics of the SARS-CoV-2 RNA detection from multiple perspectives, and it provides important clues and may also supply useful suggestions for future work of the prevention and treatment of COVID-19.

Vascular mechanisms and manifestations of COVID-19

Vascular mechanisms and manifestations of COVID-19

Development of multiple organ dysfunction syndrome in patients with Coronavirus Disease 2019: clinical characteristics and risk factors

Objective: To explore the clinical characteristics and risk factors of patients with Coronavirus Disease 2019 (COVID-19) when developing multiple organ dysfunction syndrome (MODS). Methods: Data from 458 inpatients of confirmed COVID-19 in Wuhan, Shanghai and Tongling from December 29, 2019 to March 24, 2020 were retrospectively collected. COVID-19 was confirmed by real-time RT-PCR of throat swab samples. Data of demographics, clinical presentation, laboratory tests, imaging findings, treatment and prognosis were obtained from medical record and compared between COVID-19 patients with and without MODS. Risk factors for the development of MODS were analyzed by univariate and multivariate logistic regression analysis. Results: Of the 458 COVID-19 patients (266 from Wuhan, 208 from Shanghai, and 24 from Tongling), 103 developed transient or persistent MODS in the course. More male patients were found in those with MODS (72.8% vs 54.6%, P=0.001). And MODS patients were of older age (72.8% vs 54.6%, P=0.001), more chronic comorbidities (68.0% vs 43.4%, P<0.001), and longer onset-to-admission interval (9.0 vs 7.0 d, P<0.001). In addition, patients with MODS had more expectoration (45.6% vs 29.9%, P=0.003) and shortness of breath (52.4% vs 19.4%, P<0.001), dysfunction of various systems, decreased cellular immunity and elevated IL-6 (9.6 vs 7.6 g/L, P=0.015) in laboratory tests, isolation of other pathogens (18.4% vs 5.6%, P<0.001), and infiltration of all five lobes (75.3% vs 57.6%, P=0.003). During hospitalization, patients with MODS needed a higher proportion of comprehensive treatment and reached a mortality rate of 66.0%. Independents risk factors for development of MODS in COVID-19 patients were: onset-to-admission interval>7 days (OR=2.17, 95%CI: 1.11-4.22, P=0.023), shortness of breath (OR=3.19, 95%CI: 1.60-6.37, P=0.001), lymphocyte count<1×109/L (OR=2.67, 95%CI: 1.31-5.46, P=0.007), blood urea nitrogen>7mol/L (OR=6.27, 95%CI: 2.80-14.08, P<0.001), procalcitonin>0.1 ng/mL (OR=2.48, 95%CI: 1.20-5.13, P=0.014), and C-reactive protein>10 mg/L (OR=3.92, 95%CI: 1.41-10.89, P=0.009). Conclusions: COVID-19 patients with MODS were of higher severity and mortality. Early identification of high-risk groups with MODS according to risk factors may be helpful for early treatment.