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1.
Front Psychol ; 12: 644801, 2021.
Article in English | MEDLINE | ID: covidwho-2254720
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J Tradit Complement Med ; 11(2): 180-187, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1032412

ABSTRACT

BACKGROUND AND AIM: Huashi Baidu Decoction (HSBD) is a novel complex prescription which has positive effects on severe COVID-19. This study was aimed to discover key Chinese materia medica, main active compounds, hub therapeutic target proteins and core signal pathways in the potential therapeutic mechanism of HSBD on severe COVID-19 through integrating network pharmacological methods. EXPERIMENTAL PROCEDURE: TCMSP, TCMID and STITCH databases were used to screen out active compounds and target proteins of HSBD. GeneCards database was used to screen out disease genes of severe COVID-19. The potential therapeutic targets of HSBD on severe COVID-19 were used to construct protein-protein interaction network through STRING database and the hub target proteins were discovered. Next, GO and KEGG enrichment analysis were carried out to discover core signal pathways. Finally, the network diagram of "Chinese materia medica-active compounds-therapeutic target proteins" was built, then key Chinese materia medica and main active compounds were selected. RESULTS AND CONCLUSION: HSBD might treat severe COVID-19 through 45 potential target genes, among them, there were 13 hub target genes: RELA, TNF, IL6, IL1B, MAPK14, TP53, CXCL8, MAPK3, MAPK1, IL4, MAPK8, CASP8, STAT1. Meanswhile, GO_BiologicalProcess and KEGG signaling pathways analysis results showed that the core signal pathways were inflammation and immune regulation pathways. Finally, 4 key Chinese materia medica and 11 main active compounds were discovered in the HSBD. In conclusion, the therapeutic mechanism of HSBD on severe COVID-19 might involve its pharmacological effects of anti-inflammation and immune regulation via acting on 45 disease-related proteins of severe COVID-19. TAXONOMY CLASSIFICATION BY EVISE: Viral Pneumonia, COVID-19, Acute Respiratory Distress Syndrome, Septic Shock, Chinese Herbal Medicine.

4.
Pediatr Infect Dis J ; 39(10): e315-e317, 2020 10.
Article in English | MEDLINE | ID: covidwho-766878

ABSTRACT

In the current study, we report on 4 children with confirmed SARS-CoV-2 infection, of which 3 of them were asymptomatic. These patients had both pharyngeal swabs and anal swabs testing during hospital or after discharge. All the 4 children showed long-time positive viral RNA in the stool specimens after pharyngeal swabs turned negative during the follow-up stage, especially in the asymptomatic children. The positive RNA in stool specimens of asymptomatic children last for more than 54 days after admission or 30 days after discharge.


Subject(s)
Asymptomatic Infections , Betacoronavirus/isolation & purification , Coronavirus Infections/virology , Feces/virology , Pneumonia, Viral/virology , Betacoronavirus/genetics , COVID-19 , Child , Child, Preschool , Coronavirus Infections/pathology , Female , Follow-Up Studies , Humans , Male , Pandemics , Pharynx/virology , Pneumonia, Viral/pathology , RNA, Viral/genetics , RNA, Viral/isolation & purification , SARS-CoV-2
5.
Open Med (Wars) ; 15(1): 805-814, 2020.
Article in English | MEDLINE | ID: covidwho-760726

ABSTRACT

AIM: Early diagnosis and treatment are crucial for the survival of severe Coronavirus Disease 2019 (COVID-19) patients, but data with regard to risk factors for disease progression from milder COVID-19 to severe COVID-19 remain scarce. METHODS: We conducted a retrospective analysis on 116 patients. RESULTS: Three factors were observed to be independently associated with progression to severe COVID-19 during 14 days after admission: (a) age 65 years or older (hazard ratio [HR] = 8.456; 95% CI: 2.706-26.426); (b) creatine kinase (CK) ≥ 180 U/L (HR = 3.667; 95% CI: 1.253-10.733); and (c) CD4+ T-cell counts <300 cells/µL (HR = 4.695; 95% CI: 1.483-14.856). The difference in rates of severe COVID-19 development was found to be statistically significant between patients aged 65 years or older (46.2%) and those younger than 65 years (90.2%), between patients with CK ≥ 180 U/L (55.6%) and those with CK < 180 U/L (91.5%), and between patients with CD4+ T-cell counts <300 cells/µL (53.8%) and those with CD4+ cell counts ≥300 cells/µL (83.2%). CONCLUSIONS: Age ≥ 65 years, CK ≥ 180 U/L, and CD4+ T-cell counts <300 cells/µL at admission were risk factors independently associated with disease progression to severe COVID-19 during 14 days after admission and are therefore potential markers for disease progression in patients with milder COVID-19.

6.
Ann Transl Med ; 8(10): 623, 2020 May.
Article in English | MEDLINE | ID: covidwho-609905

ABSTRACT

BACKGROUND: To clarify the characteristic and the duration of positive nucleic acid in children infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including asymptomatic children. METHODS: A total of 32 children confirmed with SARS-CoV-2 infection between January 24 and February 12, 2020 from four provinces in western China were enrolled in this study and followed up until discharge and quarantine 14 days later. RESULTS: Eleven children (34%) were asymptomatic, among whom six children had normal computed tomographic (CT) scan images. Age and gender were not associated with clinical symptoms or the results of CT scan in children infected with SARS-CoV-2. The concentrations of white blood cells and neutrophils were higher in children with asymptomatic infection than in children with clinical symptoms or CT abnormalities. Patients who presented with CT abnormalities had lower D-dimer or lower total bilirubin than those who had normal CT scan but clinical symptoms. All children recovered and no one died or was admitted to the pediatric intensive care unit (PICU). The mean duration of positive SARS-CoV-2 nucleic acid was 15.4 (SD =7.2) days and similar for both asymptomatic children and children with symptoms or CT abnormalities. We found a significant negative correlation between the lymphocyte count and the duration of positive nucleic acid test. CONCLUSIONS: Children with asymptomatic infection should be quarantined for the same duration as symptomatic patients infected with SARS-CoV-2. The clinical significance and mechanism behind the negative correlation between the number of lymphocytes and the duration of positive SARS-CoV-2 needs further study.

7.
J Med Virol ; 92(11): 2616-2622, 2020 11.
Article in English | MEDLINE | ID: covidwho-420512

ABSTRACT

Mortality is high among severe patients with 2019 novel coronavirus-infected disease (COVID-19). Early prediction of progression to severe cases is needed. We retrospectively collected patients with COVID-19 in two hospital of Chongqing from 1st January to 29th February 2020. At admission, we collected the demographics and laboratory tests to predict whether the patient would progress to severe cases in hospitalization. Severe case was confirmed when one of the following criteria occurred: (a) dyspnea, respiratory rate ≥30 breaths/min, (b) blood oxygen saturation ≤93%, and (c) PaO2 /FiO2 ≤ 300 mm Hg. At admission, 348 mild cases were enrolled in this study. Of them, 20 (5.7%) patients progressed to severe cases after median 4.0 days (interquartile range: 2.3-6.0). Pulmonary inflammation index, platelet counts, sodium, C-reactive protein, prealbumin, and PaCO2 showed good distinguishing power to predict progression to severe cases (each area under the curve of receiver operating characteristics [AUC] ≥ 0.8). Age, heart rate, chlorine, alanine aminotransferase, aspartate aminotransferase, procalcitonin, creatine kinase, pH, CD3 counts, and CD4 counts showed moderate distinguishing power (each AUC between 0.7-0.8). And potassium, creatinine, temperature, and D-dimer showed mild distinguishing power (each AUC between 0.6-0.7). In addition, higher C-reactive protein was associated with shorter time to progress to severe cases (r = -0.62). Several easily obtained variables at admission are associated with progression to severe cases during hospitalization. These variables provide a reference for the medical staffs when they manage the patients with COVID-19.


Subject(s)
COVID-19/diagnosis , Hospitalization/statistics & numerical data , Severity of Illness Index , Adult , Aged , C-Reactive Protein/analysis , COVID-19/mortality , China/epidemiology , Comorbidity , Disease Progression , Female , Humans , Male , Middle Aged , Platelet Count/statistics & numerical data , ROC Curve , Retrospective Studies , Risk Factors
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