Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 43
Filter
Add filters

Year range
1.
J Ethnopharmacol ; 285: 114905, 2022 Mar 01.
Article in English | MEDLINE | ID: covidwho-1611829

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Tongue coating has been used as an effective signature of health in traditional Chinese medicine (TCM). The level of greasy coating closely relates to the strength of dampness or pathogenic qi in TCM theory. Previous empirical studies and our systematic review have shown the relation between greasy coating and various diseases, including gastroenteropathy, coronary heart disease, and coronavirus disease 2019 (COVID-19). However, the objective and intelligent greasy coating and related diseases recognition methods are still lacking. The construction of the artificial intelligent tongue recognition models may provide important syndrome diagnosis and efficacy evaluation methods, and contribute to the understanding of ethnopharmacological mechanisms based on TCM theory. AIM OF THE STUDY: The present study aimed to develop an artificial intelligent model for greasy tongue coating recognition and explore its application in COVID-19. MATERIALS AND METHODS: Herein, we developed greasy tongue coating recognition networks (GreasyCoatNet) using convolutional neural network technique and a relatively large (N = 1486) set of tongue images from standard devices. Tests were performed using both cross-validation procedures and a new dataset (N = 50) captured by common cameras. Besides, the accuracy and time efficiency comparisons between the GreasyCoatNet and doctors were also conducted. Finally, the model was transferred to recognize the greasy coating level of COVID-19. RESULTS: The overall accuracy in 3-level greasy coating classification with cross-validation was 88.8% and accuracy on new dataset was 82.0%, indicating that GreasyCoatNet can obtain robust greasy coating estimates from diverse datasets. In addition, we conducted user study to confirm that our GreasyCoatNet outperforms TCM practitioners, yet only consuming roughly 1% of doctors' examination time. Critically, we demonstrated that GreasyCoatNet, along with transfer learning, can construct more proper classifier of COVID-19, compared to directly training classifier on patient versus control datasets. We, therefore, derived a disease-specific deep learning network by finetuning the generic GreasyCoatNet. CONCLUSIONS: Our framework may provide an important research paradigm for differentiating tongue characteristics, diagnosing TCM syndrome, tracking disease progression, and evaluating intervention efficacy, exhibiting its unique potential in clinical applications.


Subject(s)
COVID-19 , Diagnostic Techniques and Procedures , Ethnopharmacology/methods , Medicine, Chinese Traditional/methods , Tongue , Artificial Intelligence , COVID-19/diagnosis , COVID-19/therapy , Humans , Neural Networks, Computer , Outcome Assessment, Health Care/methods , Qi , SARS-CoV-2 , Tongue/microbiology , Tongue/pathology
3.
Biomater Sci ; 10(2): 549-559, 2022 Jan 18.
Article in English | MEDLINE | ID: covidwho-1569287

ABSTRACT

Lipid nanoparticles (LNPs) have been established as an essential platform for nucleic acid delivery. Efforts have led to the development of vaccines that protect against SARS-CoV-2 infection using LNPs to deliver messenger RNA (mRNA) coding for the viral spike protein. Out of the four essential components that comprise LNPs, phospholipids represent an underappreciated opportunity for fundamental and translational study. We investigated this avenue by systematically modulating the identity of the phospholipid in LNPs with the goal of identifying specific moieties that directly enhance or hinder delivery efficacy. Results indicate that phospholipid chemistry can enhance mRNA delivery by increasing membrane fusion and enhancing endosomal escape. Phospholipids containing phosphoethanolamine (PE) head groups likely increase endosomal escape due to their fusogenic properties. Additionally, it was found that zwitterionic phospholipids mainly aided liver delivery, whereas negatively charged phospholipids changed the tropism of the LNPs from liver to spleen. These results demonstrate that the choice of phospholipid plays a role intracellularly by enhancing endosomal escape, while also driving organ tropism in vivo. These findings were then applied to Selective Organ Targeting (SORT) LNPs to manipulate and control spleen-specific delivery. Overall, selection of the phospholipid in LNPs provides an important handle to design and optimize LNPs for improved mRNA delivery and more effective therapeutics.


Subject(s)
COVID-19 , Nanoparticles , Humans , Liposomes , Phospholipids , RNA, Messenger/genetics , RNA, Small Interfering , SARS-CoV-2
4.
Pharmaceutics ; 13(11)2021 Nov 12.
Article in English | MEDLINE | ID: covidwho-1538442

ABSTRACT

Messenger RNA (mRNA) has generated great attention due to its broad potential therapeutic applications, including vaccines, protein replacement therapy, and immunotherapy. Compared to other nucleic acids (e.g., siRNA and pDNA), there are more opportunities to improve the delivery efficacy of mRNA through systematic optimization. In this report, we studied a high-throughput library of 1200 functional polyesters for systemic mRNA delivery. We focused on the chemical investigation of hydrophobic optimization as a method to adjust mRNA polyplex stability, diameter, pKa, and efficacy. Focusing on a region of the library heatmap (PE4K-A17), we further explored the delivery of luciferase mRNA to IGROV1 ovarian cancer cells in vitro and to C57BL/6 mice in vivo following intravenous administration. PE4K-A17-0.2C8 was identified as an efficacious carrier for delivering mRNA to mouse lungs. The delivery selectivity between organs (lungs versus spleen) was found to be tunable through chemical modification of polyesters (both alkyl chain length and molar ratio in the formulation). Cre recombinase mRNA was delivered to the Lox-stop-lox tdTomato mouse model to study potential application in gene editing. Overall, we identified a series of polymer-mRNA polyplexes stabilized with Pluronic F-127 for safe and effective delivery to mouse lungs and spleens. Structure-activity relationships between alkyl side chains and in vivo delivery were elucidated, which may be informative for the continued development of polymer-based mRNA delivery.

5.
Front Public Health ; 9: 725980, 2021.
Article in English | MEDLINE | ID: covidwho-1518567

ABSTRACT

Background: Information on the intention of parents of children with special diseases to vaccinate their children against coronavirus disease 2019 (COVID-19) is scarce. Methods: In this survey, all participants (n = 914) were enrolled from a tertiary children's hospital between September 2020 and April 2021. A face-to-face questionnaire interview was conducted to collect information on the special diseases of children and parental attitudes about the COVID-19 vaccine. We compared the demographic and disease factors between the group of parents who were willing to vaccinate their children against COVID-19 and the group who were unwilling to vaccinate. Results: Among 941 children, 58.1% (n = 547) were boys. The Mean age was 1.4 (SD 1.9) years. If the COVID-19 vaccine becomes available for the child, 470 (49.9%) of parents were willing to provide vaccination for their children. The less the education levels of the father or mother, the more likely they were to vaccinate their children (P = 0.003, P = 0.007). However, more intentions to vaccinate were provided in parents of children with COVID-19 prevention and control education (P < 0.001). Conclusion: Our findings provided evidence that some parents are willing to vaccinate their children with special diseases against COVID-19. Professional knowledge about COVID-19 prevention and control may contribute to increased parental intention.


Subject(s)
COVID-19 , Intention , COVID-19 Vaccines , Child , China , Female , Humans , Infant , Male , Mothers , Parents , SARS-CoV-2 , Vaccination
6.
Materials (Basel) ; 14(22)2021 Nov 11.
Article in English | MEDLINE | ID: covidwho-1512479

ABSTRACT

Presently, in the context of the novel coronavirus pneumonia epidemic, several antibiotics are overused in hospitals, causing heavy pressure on the hospital's wastewater treatment process. Therefore, developing stable, safe, and efficient hospital wastewater treatment equipment is crucial. Herein, a bench-scale electrooxidation equipment for hospital wastewater was used to evaluate the removal effect of the main antibiotic levofloxacin (LVX) in hospital wastewater using response surface methodology (RSM). During the degradation process, the influence of the following five factors on total organic carbon (TOC) removal was discussed and the best reaction condition was obtained: current density, initial pH, flow rate, chloride ion concentration, and reaction time of 39.6 A/m2, 6.5, 50 mL/min, 4‱, and 120 min, respectively. The TOC removal could reach 41% after a reaction time of 120 min, which was consistent with the result predicted by the response surface (40.48%). Moreover, the morphology and properties of the electrode were analyzed. The degradation pathway of LVX was analyzed using high-performance liquid chromatography-mass spectrometry (LC-MS). Subsequently, the bench-scale electrooxidation equipment was changed into onboard-scale electrooxidation equipment, and the onboard-scale equipment was promoted to several hospitals in Dalian.

7.
IEEE Trans Neural Netw Learn Syst ; 32(11): 4781-4792, 2021 11.
Article in English | MEDLINE | ID: covidwho-1455468

ABSTRACT

Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role in large-scale screening and epidemic prevention. Unfortunately, identifying COVID-19 from the CXR images is challenging as its radiographic features have a variety of complex appearances, such as widespread ground-glass opacities and diffuse reticular-nodular opacities. To solve this problem, we propose an adaptive attention network (AANet), which can adaptively extract the characteristic radiographic findings of COVID-19 from the infected regions with various scales and appearances. It contains two main components: an adaptive deformable ResNet and an attention-based encoder. First, the adaptive deformable ResNet, which adaptively adjusts the receptive fields to learn feature representations according to the shape and scale of infected regions, is designed to handle the diversity of COVID-19 radiographic features. Then, the attention-based encoder is developed to model nonlocal interactions by self-attention mechanism, which learns rich context information to detect the lesion regions with complex shapes. Extensive experiments on several public datasets show that the proposed AANet outperforms state-of-the-art methods.


Subject(s)
COVID-19/diagnostic imaging , Neural Networks, Computer , Tomography, X-Ray Computed/classification , Tomography, X-Ray Computed/standards , COVID-19/epidemiology , Databases, Factual/standards , Humans , Tomography, X-Ray Computed/methods , X-Rays
8.
International Journal of Infectious Diseases ; 94:107-109, 2020.
Article in English | CAB Abstracts | ID: covidwho-1409671

ABSTRACT

Background: Since the outbreak of coronavirus disease (COVID-19) in Wuhan in December 2019, by March 10, 2020, a total of 80,932 confirmed cases have been reported in China. Two consecutively negative RT-PCR test results in respiratory tract specimens is required for the evaluation of discharge from hospital, and oropharyngeal swabs were the most common sample. However, false negative results occurred in the late stage of hospitalization, and avoiding false negative result is critical essential.

9.
Cell Biosci ; 11(1): 168, 2021 Aug 30.
Article in English | MEDLINE | ID: covidwho-1379800

ABSTRACT

BACKGROUND: As the COVID-19 pandemic rages on, the new SARS-CoV-2 variants have emerged in the different regions of the world. These newly emerged variants have mutations in their spike (S) protein that may confer resistance to vaccine-elicited immunity and existing neutralizing antibody therapeutics. Therefore, there is still an urgent need of safe, effective, and affordable agents for prevention/treatment of SARS-CoV-2 and its variant infection. RESULTS: We demonstrated that green tea beverage (GTB) or its major ingredient, epigallocatechin gallate (EGCG), were highly effective in inhibiting infection of live SARS-CoV-2 and human coronavirus (HCoV OC43). In addition, infection of the pseudoviruses with spikes of the new variants (UK-B.1.1.7, SA-B.1.351, and CA-B.1.429) was efficiently blocked by GTB or EGCG. Among the 4 active green tea catechins at noncytotoxic doses, EGCG was the most potent in the action against the viruses. The highest inhibitory activity was observed when the viruses or the cells were pre-incubated with EGCG prior to the infection. Mechanistic studies revealed that EGCG blocked infection at the entry step through interfering with the engagement of the receptor binding domain (RBD) of the viral spikes to angiotensin-converting enzyme 2 (ACE2) receptor of the host cells. CONCLUSIONS: These data support further clinical evaluation and development of EGCG as a novel, safe, and cost-effective natural product for prevention/treatment of SARS-CoV-2 transmission and infection.

10.
Mobile Networks & Applications ; : 1-14, 2021.
Article in English | Academic Search Complete | ID: covidwho-1375668

ABSTRACT

Following the basic law of epidemic spread, with the COVID-19 pandemic as an example, and using the partial least squares regression method, this study conducts an empirical analysis of the structural elements of epidemic transmission under conditions of inter-provincial openness in China by establishing an inter-provincial openness index system. This system comprises natural and social factors as transmission elements of COVID-19. It finds that aside from temperature and relative humidity, the rate of Wuhan’s inflow is directly related to a province’s COVID-19 incidence. Inter-provincial distance, daily passenger transport, and the proportion of equity investments reflect the proportion of Wuhan’s inflow into the provinces. These four elements reflect the scope of the epidemic. The urbanization rate, per capita GDP, business environment index, passenger density, and population density indirectly reflect the degree of population mobility in the province, which constitutes the transmission route of the epidemic. The theoretical framework of the structural elements of epidemic transmission under conditions of inter-provincial openness is constructed based on the analysis. In the process of preventing and controlling the spread of the virus, isolation of infectious sources is the most important factor. Under conditions of inter-provincial openness, limiting inter-provincial openness is the key to mitigating the spread of COVID-19. [ABSTRACT FROM AUTHOR] Copyright of Mobile Networks & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

11.
Biology (Basel) ; 10(7)2021 Jul 13.
Article in English | MEDLINE | ID: covidwho-1323102

ABSTRACT

The Toll-like receptor (TLR) 7 is a viral sensor for detecting single-stranded ribonucleic acid (ssRNA), the activation of which can induce intracellular innate immunity against viral infections. Imiquimod, a synthetic ligand for TLR7, has been successfully used for the topical treatment of genital/perianal warts in immunocompetent individuals. We studied the effect of imiquimod on the human immunodeficiency virus (HIV) infection of primary human macrophages and demonstrated that the treatment of cells with imiquimod effectively inhibited infection with multiple strains (Bal, YU2, and Jago) of HIV. This anti-HIV activity of imiquimod was the most potent when macrophages were treated prior to infection. Infection of macrophages with pseudotyped HIV NL4-3-ΔEnv-eGFP-Bal showed that imiquimod could block the viral entry. Further mechanistic studies revealed that while imiquimod had little effect on the interferons (IFNs) expression, its treatment of macrophages resulted in the increased production of the CC chemokines (human macrophage inflammatory protein-1 alpha (MIP-1α), MIP-1ß, and upon activation regulated normal T cells expressed and secreted (RANTES)), the natural ligands of HIV entry co-receptor CCR5, and decreased the expression of CD4 and CCR5. The addition of the antibodies against the CC chemokines to macrophage cultures could block imiquimod-mediated HIV inhibition. These findings provide experimental evidence to support the notion that TLR7 participates in the intracellular immunity against HIV in macrophages, suggesting the further clinical evaluation of imiquimod for its additional benefit of treating genital/perianal warts in people infected with HIV.

12.
Front Med (Lausanne) ; 8: 591372, 2021.
Article in English | MEDLINE | ID: covidwho-1304597

ABSTRACT

Background: Novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), is now sweeping across the world. A substantial proportion of infections only lead to mild symptoms or are asymptomatic, but the proportion and infectivity of asymptomatic infections remains unknown. In this paper, we proposed a model to estimate the proportion and infectivity of asymptomatic cases, using COVID-19 in Henan Province, China, as an example. Methods: We extended the conventional susceptible-exposed-infectious-recovered model by including asymptomatic, unconfirmed symptomatic, and quarantined cases. Based on this model, we used daily reported COVID-19 cases from January 21 to February 26, 2020, in Henan Province to estimate the proportion and infectivity of asymptomatic cases, as well as the change of effective reproductive number, R t . Results: The proportion of asymptomatic cases among COVID-19 infected individuals was 42% and the infectivity was 10% that of symptomatic ones. The basic reproductive number R 0 = 2.73, and R t dropped below 1 on January 31 under a series of measures. Conclusion: The spread of the COVID-19 epidemic was rapid in the early stage, with a large number of asymptomatic infected individuals having relatively low infectivity. However, it was quickly brought under control with national measures.

13.
Front Cell Neurosci ; 15: 682272, 2021.
Article in English | MEDLINE | ID: covidwho-1295666

ABSTRACT

Human cerebral organoid (CO) is a three-dimensional (3D) cell culture system that recapitulates the developing human brain. While CO has proved an invaluable tool for studying neurological disorders in a more clinically relevant matter, there have still been several shortcomings including CO variability and reproducibility as well as lack of or underrepresentation of certain cell types typically found in the brain. As the technology to generate COs has continued to improve, more efficient and streamlined protocols have addressed some of these issues. Here we present a novel scalable and simplified system to generate microglia-containing CO (MCO). We characterize the cell types and dynamic development of MCOs and validate that these MCOs harbor microglia, astrocytes, neurons, and neural stem/progenitor cells, maturing in a manner that reflects human brain development. We introduce a novel technique for the generation of embryoid bodies (EBs) directly from induced pluripotent stem cells (iPSCs) that involves simplified steps of transitioning directly from 3D cultures as well as orbital shaking culture in a standard 6-well culture plate. This allows for the generation of MCOs with an easy-to-use system that is affordable and accessible by any general lab.

14.
Breast ; 59: 102-109, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1283953

ABSTRACT

BACKGROUND: The COVID-19 pandemic is a significant worldwide health crisis. Breast cancer patients with COVID-19 are fragile and require particular clinical care. This study aimed to identify the clinical characteristics of breast cancer patients with COVID-19 and the risks associated with anti-cancer treatment. METHODS: The medical records of breast cancer patients with laboratory-confirmed COVID-19 were collected among 9559 COVID-19 patients from seven designated hospitals from 13th January to 18th March 2020 in Hubei, China. Univariate and multivariate analyses were performed to assess risk factors for COVID-19 severity. RESULTS: Of the 45 breast cancer patients with COVID-19, 33 (73.3%) developed non-severe COVID-19, while 12 (26.7%) developed severe COVID-19, of which 3 (6.7%) patients died. The median age was 62 years, and 3 (6.7%) patients had stage IV breast cancer. Univariate analysis showed that age over 75 and the Eastern Cooperative Oncology Group (ECOG) score were associated with COVID-19 disease severity (P < 0.05). Multivariate analysis showed that patients who received chemotherapy within 7 days had a significantly higher risk for severe COVID-19 (logistic regression model: RR = 13.886, 95% CI 1.014-190.243, P = 0.049; Cox proportional hazards model: HR = 13.909, 95% CI 1.086-178.150, P = 0.043), with more pronounced neutropenia and higher LDH, CRP and procalcitonin levels than other patients (P < 0.05). CONCLUSIONS: In our breast cancer cohort, the severity of COVID-19 could be associated with baseline factors such as age over 75 and ECOG scores. Chemotherapy within 7 days before symptom onset could be a risk factor for severe COVID-19, reflected by neutropenia and elevated LDH, CRP and procalcitonin levels.


Subject(s)
Antineoplastic Agents/therapeutic use , Breast Neoplasms/drug therapy , COVID-19/diagnosis , Neutropenia/etiology , SARS-CoV-2/isolation & purification , Aged , Aged, 80 and over , Breast Neoplasms/complications , Breast Neoplasms/mortality , C-Reactive Protein , China/epidemiology , Female , Humans , L-Lactate Dehydrogenase/blood , Middle Aged , Neutropenia/epidemiology , Pandemics , Procalcitonin/blood , Retrospective Studies , Risk Factors , Treatment Outcome
15.
Infect Genet Evol ; 93: 104923, 2021 09.
Article in English | MEDLINE | ID: covidwho-1230673

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging and highly pathogenic coronavirus that causes coronavirus disease (COVID-19), and might even lead to death. Circular RNAs (circRNAs), a new type of RNAs, are implicated in viral pathogenesis and host immune responses. However, their dynamic expression patterns and functions during SARS-CoV-2 infection remain to be unclear. We herein performed genome-wide dynamic analysis of circRNAs in human lung epithelial cells infected with SARS-CoV-2 at four time points. A total of 6118 circRNAs were identified at different genomic locations, including 5641 known and 477 novel circRNAs. Notably, a total of 42 circRNAs were significantly dysregulated, wherein 17 were up-regulated and 25 were down-regulated following infection at multiple phases. The gene ontology and KEGG enrichment analyses revealed that the parental genes of circRNAs were mainly involved in immune and inflammatory responses. Further, the RNA binding protein (RBP) prediction analysis indicated that the dysregulated circRNAs could regulate mRNA stability, immunity, cell death by binding specific proteins. Additionally, the circRNA-miRNA-gene network analysis showed that circRNAs indirectly regulated gene expression by absorbing their targeted miRNAs. Collectively, these results shed light on the roles of circRNAs in virus-host interactions, facilitating future studies on SARS-CoV-2 infection and pathogenesis.


Subject(s)
COVID-19/genetics , Host-Pathogen Interactions/genetics , Lung/cytology , RNA, Circular/genetics , COVID-19/pathology , Epithelial Cells , Gene Expression Regulation , Gene Ontology , Humans , Lung/virology , MicroRNAs/genetics , RNA-Binding Proteins/genetics , Reproducibility of Results
17.
Int J Clin Pract ; 75(6): e14123, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1112248

ABSTRACT

BACKGROUND: Coronavirus Disease 19 (COVID-19) is a global health concern that has become a pandemic over the past few months. This study aims at understanding the clinical manifestations of COVID-19 patients with pleural effusion. METHODS: COVID-19 patients were retrospectively enrolled from the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. Pharyngeal swabs from patients were tested using real-time polymerase chain reaction. Patients with COVID-19 were divided into two groups based on their computed tomography (CT) scans for the presence of pleural effusion at admission. We compared the clinical features, laboratory findings, scans and clinical outcomes between the two groups. RESULTS: Pleural effusion was observed in 9.19% of the patients. Patients with pleural effusion were more likely to be severe or critical cases. Moreover, patients with pleural effusion were associated with increased mortality. Of the 799 discharged patients, patients with pleural effusion had longer hospital stays and duration of viral shedding since the onset of symptoms as compared with that for patients without pleural effusion. After discharge, 217 patients visited for a follow-up CT re-examination at the Union Hospital. The CT scans showed that patients with pleural effusion required a longer time to resolve the lung inflammation after the onset of COVID-19 as compared with the time required by patients without pleural effusion. CONCLUSION: This population of patients requires special attention and pleural effusion may be an indicator of poor prognosis in COVID-19 patients.


Subject(s)
COVID-19 , Pleural Effusion , Humans , Lung , Pleural Effusion/etiology , Prognosis , Retrospective Studies , SARS-CoV-2
18.
FASEB J ; 35(3): e21392, 2021 03.
Article in English | MEDLINE | ID: covidwho-1084723

ABSTRACT

The variations and dynamics of essential and toxic metal(loid)s in patients with COVID-19 may associate with the progression and fatal outcome of the disease, which still remains to investigate. In the present study, a retrospective analysis was performed in a cohort of 306 confirmed COVID-19 patients admitted to Tongji hospital (Wuhan, China) from February 10 to March 15, 2020. Whole blood levels of essential and/or toxic metal(loid)s were analyzed, including magnesium, calcium, chromium, manganese, iron, copper, zinc, arsenic, cadmium, mercury, thallium, and lead according to the disease severity and outcome. Compared to the non-severe COVID-19 patients, severe cases showed significant higher levels of whole blood calcium, chromium, and copper, but lower levels of magnesium, manganese, iron, zinc, arsenic, thallium, and lead. These differences were further found consistently across the clinical course since the disease onset by longitudinal analysis. Among the severe patients, chromium and cadmium were higher in the deceased group compared to the recovered group, while arsenic was lower. Whole blood iron, age, and sex were determined to be independent factors associated with the disease severity, while chromium, cadmium, and the comorbidity of cardiovascular disease were determined to be independent factors associated with the mortality. These results suggest that variations of whole blood metal(loid)s may be associated with the severe illness and fatal outcome of COVID-19, which could be persistently monitored and would be helpful in the evaluation of the dynamic changes in patients with COVID-19.


Subject(s)
COVID-19/blood , COVID-19/mortality , Metalloids/blood , Metals/blood , Aged , COVID-19/pathology , China , Female , Humans , Male , Middle Aged , Retrospective Studies , Severity of Illness Index
19.
Journal of Modern Laboratory Medicine ; 35(5):93-98, 2020.
Article in Chinese | GIM | ID: covidwho-1073554

ABSTRACT

The aim of the article was to analyze the characteristics of early peripheral blood laboratory examination results of patients with new coronavirus pneumonia (coronavirus disease 2019, COVID-19), and provide references for early clinical identification. From January 11, 2020 to February 18, 2020, all 626 patients who attended the fever clinic of Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology and tested positive for the new coronavirus (SARS-CoV-2) nucleic acid were selected as the research group In addition, 254 suspected patients who visited the fever clinic during the same period and the SARS-CoV-2 nucleic acid test was negative for two or more consecutive times were selected as the control group, and analyzed the blood cell test, biochemical routine, and inflammation markers of the two groups of patients at the fever clinic for the first time. The characteristics of 31 hematological indicators. Compared with the control group, the white blood cell (WBC), lymphocyte (LYMPH), platelet (PLT), serum calcium (serum calcium, Ca) of the study group were significantly reduced, and the hypersensitive C-reactive protein (hypersensitive C-reactive protein, hsCRP) significantly increased, the difference was statistically significant, and there was a difference in the distribution of results. In the study group, WBC was mostly normal or decreased. WBC was normal in 85.3%, decreased in 9.4%, LYMPH decreased in 43.1%, PLT decreased in 12.8%, Ca decreased in 61.8%, hsCRP was higher than 10mg/L accounted for 66.2%. The remaining 26 hematological indicators (Cl, Na, K, HCO3, Urea, UA, Cr, TBA, CHE, ALB, ALT, ALP, LDH, TP, PCT, DBIL, GLB, IBIL, TBIL, P-GGT, TCHOL, AST, Hb, RBC, NEUT, MON) There was no statistically significant difference between the two groups. WBC, LYMPH, PLT, Ca and hsCRP have significant changes in the early stage of COVID-19 patients. Joint detection and observation of the above indicators can provide important references for early clinical identification.

20.
BMC Infect Dis ; 21(1): 156, 2021 Feb 08.
Article in English | MEDLINE | ID: covidwho-1069547

ABSTRACT

BACKGROUND: Due to the rapid spread of coronavirus disease 2019 (COVID-19) worldwide, it is necessary to ascertain essential immune inflammatory parameters that describe the severity of the disease and provide guidance for treatment. We performed network meta-analyses to determine differences in blood cells, lymphocyte subsets, and cytokines in COVID-19 patients with different clinical stages. METHODS: Databases were systematically searched to May 2, 2020, and updated on June 1, 2020. Network meta-analyses were conducted via Stata 15.0, and the mean difference (MD) and its 95% CI were used as the effect values of the pooled analysis. RESULTS: Seventy-one studies were included involving 8647 COVID-19 patients, White blood cell (WBC), neutrophil (NEUT), IL-6, and IL-10 counts increased significantly with worsening of the COVID-19, while lymphocyte (LYM) counts decreased. The levels of platelet (PLT), CD3+, CD4+, CD8+, and CD19+ cells in severe and critical patients were significantly lower than those in mild patients. IL-1ß count was significantly elevated in critical patients. CONCLUSIONS: Immune suppression and inflammatory injury play crucial roles in the progression of COVID-19, and the identification of susceptible cells and cytokines provide guidance for the early and accurate treatment of COVID-19 patients.


Subject(s)
Blood Cells , COVID-19/blood , COVID-19/immunology , Cytokines/blood , Lymphocyte Subsets , Adult , Aged , Female , Humans , Inflammation , Interleukin-10/blood , Interleukin-1beta/blood , Lymphocyte Count , Male , Middle Aged , Network Meta-Analysis , Neutrophils , Severity of Illness Index
SELECTION OF CITATIONS
SEARCH DETAIL
...