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1.
BMC Health Serv Res ; 21(1): 1268, 2021 Nov 24.
Article in English | MEDLINE | ID: covidwho-1613236

ABSTRACT

BACKGROUND: Internet medical care has been advancing steadily, especially during the coronavirus disease 2019 pandemic, the development momentum of Internet medical care in China is more vigorous. This study aimed to explore the factors associated with using the Internet for medical information, to examine the popularisation and implementation of Internet medical treatment and feasible strategies, and promote the further development of Internet medical treatment. METHODS: A cross-sectional study was conducted on 408 medical patients who had used online medical services. The one-way analysis of variance or independent samples t-test was used to compare the differences in the influence of demographic characteristics on behavioural intentions of different people seeking medical care. Pearson's correlation was used to evaluate the correlation between different measurement variables. A mediation regression analysis was used to explore the mediating role of trust in Internet medical care. RESULTS: The difference in the influence of Internet medical use frequency on the behavioural intention of different participants was statistically significant (F = 3.311, P = 0.038). Among the influencing factors, personal trust propensity (r = 0.387, P < 0.01), website credibility (r = 0.662, P < 0.01), hospital credibility (r = 0.629, P < 0.01), doctor's credibility (r = 0.746, P < 0.01), and online patient trust (r = 0.874, P < 0.01) were positively correlated with patients' behavioural intentions. In the analysis of intermediary factors, the total effect of the credibility of the diagnosis and treatment website on the behavioural intention of patients was 0.344. The total effect of the credibility of the diagnosis and treatment hospital on the behavioural intention of patients was 0.312; the total effect of the service doctor's credibility on the patient's behavioural intention was 0.385; the total effect of the personal trust tendency on the patient's behavioural intention was 0.296. CONCLUSIONS: This study found defects in various factors that produce distrust in Internet medical treatment. It also reveals the positive effect of trust factors on the development and implementation of Internet medical treatment and provides some ideas for improving the use of Internet medical treatment by the masses.


Subject(s)
COVID-19 , Trust , Cross-Sectional Studies , Humans , Internet , SARS-CoV-2
2.
EBioMedicine ; 75: 103789, 2021 Dec 24.
Article in English | MEDLINE | ID: covidwho-1587925

ABSTRACT

BACKGROUND: The long-term consequences of human umbilical cord-derived mesenchymal stem cell (UC-MSC) treatment for COVID-19 patients are yet to be reported. This study assessed the 1-year outcomes in patients with severe COVID-19, who were recruited in our previous UC-MSC clinical trial. METHODS: In this prospective, longitudinal, cohort study, 100 patients enrolled in our phase 2 trial were prospectively followed up at 3-month intervals for 1 year to evaluate the long-term safety and effectiveness of UC-MSC treatment. The primary endpoint was an altered proportion of whole-lung lesion volumes measured by high-resolution CT. Other imaging outcomes, 6 min walking distance (6-MWD), lung function, plasma biomarkers, and adverse events were also recorded and analyzed. This trial was registered with ClinicalTrials.gov (NCT04288102). FINDINGS: MSC administration improved in whole-lung lesion volume compared with the placebo with a difference of -10.8% (95% CI: -20.7%, -1.5%, p = 0.030) on day 10. MSC also reduced the proportion of solid component lesion volume compared with the placebo at each follow-up point. More interestingly, 17.9% (10/56) of patients in the MSC group had normal CT images at month 12, but none in the placebo group (p = 0.013). The incidence of symptoms was lower in the MSC group than in the placebo group at each follow-up time. Neutralizing antibodies were all positive, with a similar median inhibition rate (61.6% vs. 67.6%) in both groups at month 12. No difference in adverse events at the 1-year follow-up and tumor markers at month 12 were observed between the two groups. INTERPRETATION: UC-MSC administration achieves a long-term benefit in the recovery of lung lesions and symptoms in COVID-19 patients. FUNDING: The National Key R&D Program of China, the Innovation Groups of the National Natural Science Foundation of China, and the National Science and Technology Major Project.

3.
Chemical Engineering Journal ; : 133635, 2021.
Article in English | ScienceDirect | ID: covidwho-1517081

ABSTRACT

The chloroxylenol (PCMX) has shown well virucidal efficacy against COVID-19, but the large-scale utilization of which will undoubtedly pose extra environmental threaten. In the present study, the recycled industrial phenylenediamine residue was used and an integrated strategy of “carbonization-casting-activation” using super low-dose of activator and templates was established to achieve in-situ N/O co-doping and facile synthesis of a kind of hierarchical hyperporous carbons (HHPC). The sample of HHPC-1.25-0.5 obtained with activator and template to residue of 1.25 and 0.5 respectively shows super-high specific surface area of 3602 m2/g and volume of 2.81 cm3/g and demonstrates remarkable adsorption capacity of 1475 mg/g for PCMX in batch and of 1148 mg/g in dynamic column adsorption test. In addition, the HHPC-1.25-0.5 exhibits excellent reusability and tolerance for PCMX adsorption under various ionic backgrounds and real water matrix conditions. The combined physio-chemistry characterization, kinetic study and DFT calculation reveal that the enhanced high performances originate from the hierarchical pore structure and strong electrostatic interaction between PCMX and surface rich pyridinic-N and carbonyl groups.

4.
Front Med (Lausanne) ; 8: 715519, 2021.
Article in English | MEDLINE | ID: covidwho-1477836

ABSTRACT

Background: Secondary infections pose tremendous challenges in Coronavirus disease 2019 (COVID-19) treatment and are associated with higher mortality rates. Clinicians face of the challenge of diagnosing viral infections because of low sensitivity of available laboratory tests. Case Presentation: A 66-year-old woman initially manifested fever and shortness of breath. She was diagnosed as critically ill with COVID-19 using quantitative reverse transcription PCR (RT-qPCR) and treated with antiviral therapy, ventilator and extracorporeal membrane oxygenation (ECMO). However, after the condition was relatively stabled for a few days, the patient deteriorated with fever, frequent cough, increased airway secretions, and increased exudative lesions in the lower right lung on chest X-rays, showing the possibility of a newly acquired infection, though sputum bacterial and fungal cultures and smears showed negative results. Using metagenomic next-generation sequencing (mNGS), we identified a reactivation of latent human herpes virus type 1 (HHV-1) in the respiratory tract, blood and gastrointestinal tract, resulting in a worsened clinical course in a critically ill COVID-19 patient on ECMO. Anti-HHV-1 therapy guided by these sequencing results effectively decreased HHV-1 levels, and improved the patient's clinical condition. After 49 days on ECMO and 67 days on the ventilator, the 66-year-old patient recovered and was discharged. Conclusions: This case report demonstrates the potential value of mNGS for evidence-based treatment, and suggests that potential reactivation of latent viruses should be considered in critically ill COVID-19 patients.

5.
Signal Transduct Target Ther ; 6(1): 339, 2021 09 08.
Article in English | MEDLINE | ID: covidwho-1402052

ABSTRACT

The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has placed a global public burden on health authorities. Although the virological characteristics and pathogenesis of COVID-19 has been largely clarified, there is currently no specific therapeutic measure. In severe cases, acute SARS-CoV-2 infection leads to immune disorders and damage to both the adaptive and innate immune responses. Having roles in immune regulation and regeneration, mesenchymal stem cells (MSCs) serving as a therapeutic option may regulate the over-activated inflammatory response and promote recovery of lung damage. Since the outbreak of the COVID-19 pandemic, a series of MSC-therapy clinical trials has been conducted. The findings indicate that MSC treatment not only significantly reduces lung damage, but also improves patient recovery with safety and good immune tolerance. Herein, we summarize the recent progress in MSC therapy for COVID-19 and highlight the challenges in the field.


Subject(s)
COVID-19/therapy , Lung Injury/therapy , Lung/immunology , Mesenchymal Stem Cell Transplantation , Mesenchymal Stem Cells/immunology , SARS-CoV-2/immunology , Animals , COVID-19/immunology , COVID-19/pathology , Humans , Lung/pathology , Lung/virology , Lung Injury/immunology , Lung Injury/virology , Mesenchymal Stem Cells/pathology
6.
Brief Bioinform ; 22(6)2021 11 05.
Article in English | MEDLINE | ID: covidwho-1364739

ABSTRACT

The global pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has led to a dramatic loss of human life worldwide. Despite many efforts, the development of effective drugs and vaccines for this novel virus will take considerable time. Artificial intelligence (AI) and machine learning (ML) offer promising solutions that could accelerate the discovery and optimization of new antivirals. Motivated by this, in this paper, we present an extensive survey on the application of AI and ML for combating COVID-19 based on the rapidly emerging literature. Particularly, we point out the challenges and future directions associated with state-of-the-art solutions to effectively control the COVID-19 pandemic. We hope that this review provides researchers with new insights into the ways AI and ML fight and have fought the COVID-19 outbreak.


Subject(s)
COVID-19 Vaccines/genetics , COVID-19/drug therapy , Drug Discovery , SARS-CoV-2/genetics , Artificial Intelligence , COVID-19/genetics , COVID-19/virology , COVID-19 Vaccines/chemistry , Drug Design , Humans , Machine Learning , Pandemics , SARS-CoV-2/chemistry , SARS-CoV-2/pathogenicity
7.
Magnetic Resonance Letters ; : 100009, 2021.
Article in English | ScienceDirect | ID: covidwho-1347764

ABSTRACT

The ongoing pandemic of coronavirus disease 2019 (COVID-19) has been a great burden for the healthcare system in many countries because of its high transmissibility, severity, and fatality. Chest radiography and computed tomography (CT) play a vital role in the diagnosis, detection of complications, and prognostication of COVID-19. Additionally, magnetic resonance imaging (MRI), especially multi-nuclei MRI, is another important imaging technique for disease diagnosis because of its good soft tissue contrast and the ability to conduct structural and functional imaging, which has also been used to evaluate COVID-19-related organ injuries in previous studies. Herein, we briefly reviewed the recent research on multi-nuclei MRI for evaluating injuries caused by COVID-19 and the clinical 1H MRI techniques and their applications for assessing injuries in lungs, brain, and heart. Moreover, the emerging hyperpolarized 129Xe gas MRI and its applications in the evaluation of pulmonary structures and functional abnormalities caused by COVID-19 were also reviewed.

8.
Front Immunol ; 12: 700449, 2021.
Article in English | MEDLINE | ID: covidwho-1325531

ABSTRACT

The identification of asymptomatic, non-severe presymptomatic, and severe presymptomatic coronavirus disease 2019 (COVID-19) in patients may help optimize risk-stratified clinical management and improve prognosis. This single-center case series from Wuhan Huoshenshan Hospital, China, included 2,980 patients with COVID-19 who were hospitalized between February 4, 2020 and April 10, 2020. Patients were diagnosed as asymptomatic (n = 39), presymptomatic (n = 34), and symptomatic (n = 2,907) upon admission. This study provided an overview of asymptomatic, presymptomatic, and symptomatic COVID-19 patients, including detection, demographics, clinical characteristics, and outcomes. Upon admission, there was no significant difference in clinical symptoms and CT image between asymptomatic and presymptomatic patients for diagnosis reference. The mean area under the receiver operating characteristic curve (AUC) of the differential diagnosis model to discriminate presymptomatic patients from asymptomatic patients was 0.89 (95% CI, 0.81-0.98). Importantly, the severe and non-severe presymptomatic patients can be further stratified (AUC = 0.82). In conclusion, the two-step risk-stratification model based on 10 laboratory indicators can distinguish among asymptomatic, severe presymptomatic, and non-severe presymptomatic COVID-19 patients on admission. Moreover, single-cell data analyses revealed that the CD8+T cell exhaustion correlated to the progression of COVID-19.


Subject(s)
Asymptomatic Infections , COVID-19/diagnosis , Aged , CD8-Positive T-Lymphocytes/pathology , China/epidemiology , Diagnosis, Differential , Disease Progression , Female , Humans , Male , Middle Aged , Models, Statistical , Prognosis , Risk Assessment , SARS-CoV-2
9.
Applied Sciences ; 11(14):6526, 2021.
Article in English | MDPI | ID: covidwho-1314577

ABSTRACT

During the recent pandemic of COVID-19, an increasing amount of information has been propagated on social media. This situational information is valuable for public authorities. Therefore, this study characterized the propagation scale of situational information types by harnessing the power of natural language processing techniques and machine learning algorithms. We observed that the length of the post has a positive correlation with type 1 information (announcements), and negative words were mostly used in type 5 information (criticizing the government), whereas anxiety-related words have a negative effect on the amount of retweeted type 0 (precautions) and type 2 (donations) information. This type of research study not only contributes to the situational information literature by comprehensively defining categories but also provides data-oriented practical insights into information so that management authorities can formulate response strategies after the pandemic. Our approach is one of its kind and combines Twitter content features, user features and LIWC linguistic features with machine learning algorithms to analyze the propagation scale of situational information, and it achieved 77% accuracy with SVM while classifying the information categories.

10.
BMC Pulm Med ; 21(1): 233, 2021 Jul 13.
Article in English | MEDLINE | ID: covidwho-1309908

ABSTRACT

BACKGROUND: To explore the long-term trajectories considering pneumonia volumes and lymphocyte counts with individual data in COVID-19. METHODS: A cohort of 257 convalescent COVID-19 patients (131 male and 126 females) were included. Group-based multi-trajectory modelling was applied to identify different trajectories in terms of pneumonia lesion percentage and lymphocyte counts covering the time from onset to post-discharge follow-ups. We studied the basic characteristics and disease severity associated with the trajectories. RESULTS: We characterised four distinct trajectory subgroups. (1) Group 1 (13.9%), pneumonia increased until a peak lesion percentage of 1.9% (IQR 0.7-4.4) before absorption. The slightly decreased lymphocyte rapidly recovered to the top half of the normal range. (2) Group 2 (44.7%), the peak lesion percentage was 7.2% (IQR 3.2-12.7). The abnormal lymphocyte count restored to normal soon. (3) Group 3 (26.0%), the peak lesion percentage reached 14.2% (IQR 8.5-19.8). The lymphocytes continuously dropped to 0.75 × 109/L after one day post-onset before slowly recovering. (4) Group 4 (15.4%), the peak lesion percentage reached 41.4% (IQR 34.8-47.9), much higher than other groups. Lymphopenia was aggravated until the lymphocytes declined to 0.80 × 109/L on the fourth day and slowly recovered later. Patients in the higher order groups were older and more likely to have hypertension and diabetes (all P values < 0.05), and have more severe disease. CONCLUSIONS: Our findings provide new insights to understand the heterogeneous natural courses of COVID-19 patients and the associations of distinct trajectories with disease severity, which is essential to improve the early risk assessment, patient monitoring, and follow-up schedule.


Subject(s)
COVID-19 , Convalescence , Pneumonia, Viral/blood , Pneumonia, Viral/diagnosis , Adult , Female , Humans , Lymphocyte Count , Male , Middle Aged , Retrospective Studies , Severity of Illness Index
11.
Stem Cells Dev ; 30(15): 773-781, 2021 08 01.
Article in English | MEDLINE | ID: covidwho-1303889

ABSTRACT

Previously, we demonstrated the therapeutic effects of human umbilical cord mesenchymal stromal cells (hUC-MSCs) in severe coronavirus disease 2019 (COVID-19) patients. In this 3-month follow-up study, we examined discharged patients who had received hUC-MSC therapy to assess the safety of this therapy and the health-related quality of life (HRQL) of these patients. The follow-up cohort consisted of 28 discharged severe COVID-19 patients who received either the standard treatment (the control group) or the standard treatment plus hUC-MSC therapy. We examined liver function, kidney function, pulmonary function, coagulation, tumor markers, and vision. We also conducted electrocardiography (ECG) analysis, let the patients answer the St. George's Respiratory Questionnaire (SGRQ), and performed computed tomography (CT) imaging for assessing the lung changes. No obvious adverse effects were observed in the hUC-MSC group after 3 months. Measurements of blood routine index, C-reactive protein and procalcitonin, liver and kidney function, coagulation, ECG, tumor markers, and vision were almost within the normal ranges in both the treatment and control groups. Forced expiratory volumes in 1 s (FEV1) (% of predicted) were 71.88% ± 8.46% and 59.45% ± 27.45% in the hUC-MSC and control groups (P < 0.01), respectively, and FEV1/forced vital capacity (FEV1/FVC) ratios were 79.95% ± 8.00% and 58.97% ± 19.16% in the hUC-MSC and control groups, respectively (P < 0.05). SGRQ scores were lower in the hUC-MSC group than in the control group (15.25 ± 3.69 vs. 31.9 ± 8.78, P < 0.05). The rate of wheezing in the hUC-MSC group was also significantly lower than that in the control group (37.5% vs. 75%, P < 0.05). There were no significant differences in CT scores between the two groups (0.60 ± 0.88 vs. 1.00 ± 1.31, P = 0.917). Overall, the intravenous transplantation of hUC-MSCs accelerated partial pulmonary function recovery and improved HRQL, indicating relative safety and preliminary efficacy of this treatment for patients with severe COVID-19.


Subject(s)
COVID-19/therapy , Cord Blood Stem Cell Transplantation , Mesenchymal Stem Cell Transplantation , Adult , Aged , COVID-19/epidemiology , COVID-19/pathology , Case-Control Studies , China/epidemiology , Cohort Studies , Comorbidity , Cord Blood Stem Cell Transplantation/statistics & numerical data , Female , Follow-Up Studies , Humans , Male , Mesenchymal Stem Cell Transplantation/statistics & numerical data , Middle Aged , Patient Discharge , Respiratory Function Tests , SARS-CoV-2/physiology , Severity of Illness Index , Treatment Outcome , Umbilical Cord/cytology
12.
Nat Metab ; 3(7): 909-922, 2021 07.
Article in English | MEDLINE | ID: covidwho-1279905

ABSTRACT

Exosomes represent a subtype of extracellular vesicle that is released through retrograde transport and fusion of multivesicular bodies with the plasma membrane1. Although no perfect methodologies currently exist for the high-throughput, unbiased isolation of pure plasma exosomes2,3, investigation of exosome-enriched plasma fractions of extracellular vesicles can confer a glimpse into the endocytic pathway on a systems level. Here we conduct high-coverage lipidomics with an emphasis on sterols and oxysterols, and proteomic analyses of exosome-enriched extracellular vesicles (EVs hereafter) from patients at different temporal stages of COVID-19, including the presymptomatic, hyperinflammatory, resolution and convalescent phases. Our study highlights dysregulated raft lipid metabolism that underlies changes in EV lipid membrane anisotropy that alter the exosomal localization of presenilin-1 (PS-1) in the hyperinflammatory phase. We also show in vitro that EVs from different temporal phases trigger distinct metabolic and transcriptional responses in recipient cells, including in alveolar epithelial cells, which denote the primary site of infection, and liver hepatocytes, which represent a distal secondary site. In comparison to the hyperinflammatory phase, EVs from the resolution phase induce opposing effects on eukaryotic translation and Notch signalling. Our results provide insights into cellular lipid metabolism and inter-tissue crosstalk at different stages of COVID-19 and are a resource to increase our understanding of metabolic dysregulation in COVID-19.


Subject(s)
COVID-19/metabolism , COVID-19/virology , Extracellular Vesicles/metabolism , Lipidomics , Metabolomics , SARS-CoV-2 , Biological Transport , COVID-19/epidemiology , Cell Fractionation , Cell Membrane/metabolism , Chemical Fractionation , Cluster Analysis , Computational Biology/methods , Exosomes/metabolism , Host-Pathogen Interactions , Humans , Lipidomics/methods , Metabolome , Metabolomics/methods , Retrospective Studies , SARS-CoV-2/genetics , SARS-CoV-2/immunology
13.
Virol Sin ; 35(6): 785-792, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1217481

ABSTRACT

Healthcare workers (HCWs) are at high risk of occupational exposure to the new pandemic human coronavirus, SARS-CoV-2, and are a source of nosocomial transmission in airborne infectious isolation rooms (AIIRs). Here, we performed comprehensive environmental contamination surveillance to evaluate the risk of viral transmission in AIIRs with 115 rooms in three buildings at the Shanghai Public Health Clinical Center, Shanghai, during the treatment of 334 patients infected with SARS-CoV-2. The results showed that the risk of airborne transmission of SARS-CoV-2 in AIIRs was low (1.62%, 25/1544) due to the directional airflow and strong environmental hygiene procedures. However, we detected viral RNA on the surface of foot-operated openers and bathroom sinks in AIIRs (viral load: 55.00-3154.50 copies/mL). This might be a source of contamination to connecting corridors and object surfaces through the footwear and gloves used by HCWs. The risk of infection was eliminated by the use of disposable footwear covers and the application of more effective environmental and personal hygiene measures. With the help of effective infection control procedures, none of 290 HCWs was infected when working in the AIIRs at this hospital. This study has provided information pertinent for infection control in AIIRs during the treatment of COVID-19 patients.


Subject(s)
COVID-19/transmission , Environmental Monitoring/methods , Hospitals, Isolation , SARS-CoV-2/isolation & purification , Air Microbiology , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/virology , China/epidemiology , Cross Infection/transmission , Environmental Microbiology , Health Personnel , Humans , Infection Control/instrumentation , Infection Control/methods , Pandemics/prevention & control , RNA, Viral/isolation & purification , Risk Factors , Viral Load
14.
Information Processing & Management ; 58(5):102610, 2021.
Article in English | ScienceDirect | ID: covidwho-1213294

ABSTRACT

During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news has caused serious social panic. Fake news often uses multimedia information such as text and image to mislead readers, spreading and expanding its influence. One of the most important problems in fake news detection based on multimodal data is to extract the general features as well as to fuse the intrinsic characteristics of the fake news, such as mismatch of image and text and image tampering. This paper proposes a Multimodal Consistency Neural Network (MCNN) that considers the consistency of multimodal data and captures the overall characteristics of social media information. Our method consists of five subnetworks: the text feature extraction module, the visual semantic feature extraction module, the visual tampering feature extraction module, the similarity measurement module, and the multimodal fusion module. The text feature extraction module and the visual semantic feature extraction module are responsible for extracting the semantic features of text and vision and mapping them to the same space for a common representation of cross-modal features. The visual tampering feature extraction module is responsible for extracting visual physical and tamper features. The similarity measurement module can directly measure the similarity of multimodal data for the problem of mismatching of image and text. We assess the constructed method in terms of four datasets commonly used for fake news detection. The accuracy of the detection is improved clearly compared to the best available methods.

15.
J Med Virol ; 93(9): 5635-5637, 2021 09.
Article in English | MEDLINE | ID: covidwho-1208550

ABSTRACT

An outbreak of a novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had emerged in 2019 and rapidly posed a global epidemic. Here, we report the breadth of concomitant virological features of a family cluster with COVID-19. The period of virus shedding is significantly different between upper respiratory and feces samples. Even the SARS-CoV-2 virus titers were undetectable in feces, it could be positive again soon and likely related to fluctuated inflammation levels (interleukin-6, etc.) and lowered immune responses (CD4 + T lymphocyte, etc.). Our findings expand the novel understanding of the breadth of concomitant virological features during a non-severe family cluster of COVID-19.


Subject(s)
COVID-19/physiopathology , Feces/virology , SARS-CoV-2 , Virus Shedding , Adolescent , Adult , COVID-19/virology , China , Disease Outbreaks , Family , Female , Humans , Male , Middle Aged
16.
J Med Virol ; 93(2): 1133-1140, 2021 02.
Article in English | MEDLINE | ID: covidwho-1196448

ABSTRACT

To report the clinical characteristics and potential risk factors of patients with coronavirus disease 2019 (COVID-19) in Wuhan Stadium Cabin Hospital in Hubei Province. A total of 571 patients of COVID-19 treated in the Wuhan Stadium Cabin Hospital were selected for analysis, univariable and multivariable logistic regression methods were used to explore the risk factors associated with disease aggravation. The main clinical symptoms of moderate COVID-19 were fever, cough and dyspnea, hypertension, diabetes, and coronary heart diseases were the main comorbidities both in transferred and stable patients. Twenty-six patients (4.55%) of mild and moderate patients had disease aggravation, and most of which occurred between 36 and 48 hours after admission. Multiple regression analysis showed increasing odds of disease aggravation associated with former smoker history, diabetes, dyspnea, consolidation, and interstitial abnormalities of computed tomography scanning, lymphopenia and elevated of C-reactive protein, the time points of transferred patients mainly between 36 and 48 hours (65.38%), and the average hospital stay for stable patients was 15 days.It could help clinicians to identify patients with poor prognosis at an early stage, and provide early warning role for timely intervention.


Subject(s)
COVID-19/epidemiology , COVID-19/physiopathology , Hospitalization/statistics & numerical data , Adult , Age Factors , China/epidemiology , Comorbidity , Cough/virology , Female , Fever/epidemiology , Fever/virology , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Retrospective Studies , Risk Factors
17.
J Med Virol ; 93(1): 456-462, 2021 01.
Article in English | MEDLINE | ID: covidwho-1196396

ABSTRACT

In the past several months, the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-associated infection (coronavirus disease 2019 [COVID-19]) developed rapidly and has turned into a global pandemic. Although SARS-CoV-2 mainly attacks respiratory systems, manifestations of multiple organs have been observed. A great concern was raised about whether COVID-19 may affect male reproductive functions. In this study, we collected semen specimens from 12 male COVID-19 patients for virus detection and semen characteristics analysis. No SARS-CoV-2 was found in semen specimens. Eight out of 12 patients had normal semen quality. We also compared the sex-related hormone levels between 119 reproductive-aged men with SARS-CoV-2 infection and 273 age-matched control men. A higher serum luteinizing hormone (LH) and a lower ratio of testosterone (T) to LH were observed in the COVID-19 group. Multiple regression analysis indicated that serum T: LH ratio was negatively associated with white blood cell counts and C-reactive protein levels in COVID-19 patients. It's the first report about semen assessment and sex-hormone evaluation in reproductive-aged male COVID-19 patients. Although further study is needed to clarify the reasons and underlying mechanisms, our study presents an abnormal sex hormone secretion among COVID-19 patients, suggesting that attention should be paid to reproductive function evaluation in the follow-up.


Subject(s)
COVID-19/complications , Gonadal Steroid Hormones/analysis , Gonadal Steroid Hormones/blood , Semen Analysis , Semen/chemistry , Adult , Humans , Male , Middle Aged , Testosterone/blood , Young Adult
18.
Journal of Asian Public Policy ; : 1-18, 2021.
Article in English | Taylor & Francis | ID: covidwho-1160715
19.
Drug Des Devel Ther ; 15: 983-995, 2021.
Article in English | MEDLINE | ID: covidwho-1127888

ABSTRACT

Summary: The recent outbreak of coronavirus disease 2019 (COVID-19) has become a global epidemic. Corticosteroids have been widely used in the treatment of severe acute respiratory syndrome (SARS), and the pathological findings seen in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are very similar to those observed in severe acute respiratory syndrome-related coronavirus (SARS-CoV) infection. However, the long-term use of corticosteroids (especially at high doses) is associated with potentially serious adverse events, particularly steroid-induced avascular necrosis of the femoral head (SANFH). In today's global outbreak, whether corticosteroid therapy should be used, the dosage and duration of treatment, and ways for the prevention, early detection, and timely intervention of SANFH are some important issues that need to be addressed. This review aims to provide a reference for health care providers in COVID-19 endemic countries and regions. Article Focus: Hormones are a double-edged sword. This review aims to provide a reference for health care providers in coronavirus disease 2019 (COVID-19) endemic countries and regions, especially with respect to the pros and cons of corticosteroid use in the treatment of patients with COVID-19. Key Messages: In today's global outbreak, whether corticosteroid therapy should be used, the dosage and duration of treatment, and ways for the prevention, early detection, and timely intervention of SANFH are some important issues that need to be addressed. Strengths and Limitations: Since SARS was mainly prevalent in China at that time, many evidences in this paper came from the reports of Chinese scholars. There is a bias in the selection of data, which may ignore the differences in environment, race, living habits, medical level and so on. SANFH may be the result of multiple factors. Whether the virus itself is an independent risk factor for SANFH has not been confirmed. In this paper, through literature retrieval, some reference opinions on glucocorticoid usage, diagnosis and treatment of SANFH are given. However, due to the lack of large-scale research data support, it can not be used as the gold standard for the above problems.


Subject(s)
Adrenal Cortex Hormones/adverse effects , COVID-19/drug therapy , Femur Head Necrosis/chemically induced , Adult , Aged , Animals , COVID-19/diagnosis , Clinical Decision-Making , Female , Femur Head Necrosis/diagnosis , Femur Head Necrosis/prevention & control , Humans , Male , Middle Aged , Patient Safety , Risk Assessment , Risk Factors , Treatment Outcome
20.
Emerg Microbes Infect ; 10(1): 612-618, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1127286

ABSTRACT

Phage therapy is recognized as a promising alternative to antibiotics in treating pulmonary bacterial infections, however, its use has not been reported for treating secondary bacterial infections during virus pandemics such as coronavirus disease 2019 (COVID-19). We enrolled 4 patients hospitalized with critical COVID-19 and pulmonary carbapenem-resistant Acinetobacter baumannii (CRAB) infections to compassionate phage therapy (at 2 successive doses of 109 plaque-forming unit phages). All patients in our COVID-19-specific intensive care unit (ICU) with CRAB positive in bronchoalveolar lavage fluid or sputum samples were eligible for study inclusion if antibiotic treatment failed to eradicate their CRAB infections. While phage susceptibility testing revealed an identical profile of CRAB strains from these patients, treatment with a pre-optimized 2-phage cocktail was associated with reduced CRAB burdens. Our results suggest the potential of phages on rapid responses to secondary CRAB outbreak in COVID-19 patients.


Subject(s)
Acinetobacter Infections/etiology , Acinetobacter Infections/therapy , Acinetobacter baumannii/virology , Bacteriophages/physiology , COVID-19/complications , Coinfection/therapy , Phage Therapy , Podoviridae/physiology , Acinetobacter Infections/microbiology , Acinetobacter baumannii/physiology , Aged , Aged, 80 and over , COVID-19/virology , Coinfection/microbiology , Female , Humans , Male , SARS-CoV-2/physiology
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