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Objective We aimed to review the data available to explore prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection in the real world. Methods We searched observational cohort studies and case-control studies that described the SARS-CoV-2 reinfections in PubMed, Embase, Web of Science, CNKI and WanFang Data from inception to 11 Dec 2022. Studies, data extracted and quality assessed were selected according to strict inclusion exclusion criteria. All analyses were using Stata version 16.0. Results A total of 24 studies were included, involving 78 635 cases of SARS-CoV-2 reinfection and 6 616 869 cases of SARS-CoV-2 primary infection. In cases after the primary SARS-CoV-2 infection, the pooled prevalence of reinfection was 2.06% (95% CI: 1.73% - 2.40%). Compared with other age groups, the secondary infection rate was higher in those aged 40 - < 50 years 2.97% (95% CI: -1. 20%-7 14%) and 50-<60 years 2. 32% (95% CI: -0.74%-5.38%). In vaccination status group, the pooled prevalence was 5.47% (95% CI: 1.99%-8.95%) in unvaccinated cases, 1.85% (95% CI: 1.63%-2.08%) for those received partial COVID-19 vaccination, and 1.11% (95% CI: 0.34%-1.89%) for those received fully vaccination. In addition, the pooled prevalence of SARS-CoV-2 reinfection was 6.02% (95% CI: 5.67%-6. 37%) in the health care workers. Conclusions There is a risk of SARS-CoV-2 reinfection, but the results of this global real-world meta-analysis showed that the rate of reinfection is not high. It is recommended to scientifically understand the risk of SARS-CoV-2 reinfection, strengthen public health education, maintain healthy habits, and reduce the risk of SARS-CoV-2 reinfection.Copyright © 2023, Publication Centre of Anhui Medical University. All rights reserved.
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OBJECTIVE To summarize the basic information, mechanism of action, pharmacokinetics, efficacy, safety, interactions, and precautions of azvudine, to provide references for its clinical use. METHODS Literatures related to azvudine from the official website of Chinese clinical trial regi stry, clinicaltrials.gov, Pubmed, CNKI and Wanfang were systematically searched and summarized. RESULTS Azvudine is an oral small-molecule corona virus disease(COVID-19) treatment drug independently developed by China. As a nucleoside analogue targeting to viral RNA-dependent RNA polymerases (RdRp), it can inhibit RNA virus reverse transcription process and replication process. The results of phase III clinical trials showed that azvudine could significantly shorten the time of nucleic acid conversion in patients with mild to moderate corona virus disease (COVID-19). Compared with the control group, the azvudine group can significantly shorten the improvement time of pneumonia. For moderate and severe patients, azvudine treatment also showed significant therapeutic effects in the time of nucleic acid conversion, discharge, and rehabilitation. CONCLUSION The drug possesses good safety and tolerability in patients, which provide a choice for the clinical treatment of COVID-19.Copyright © 2022 Chinese Pharmaceutical Association. All rights reserved.
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OBJECTIVE To summarize the basic information, mechanism of action, pharmacokinetics, efficacy, safety, interactions, and precautions of azvudine, to provide references for its clinical use. METHODS Literatures related to azvudine from the official website of Chinese clinical trial regi stry, clinicaltrials.gov, Pubmed, CNKI and Wanfang were systematically searched and summarized. RESULTS Azvudine is an oral small-molecule corona virus disease(COVID-19) treatment drug independently developed by China. As a nucleoside analogue targeting to viral RNA-dependent RNA polymerases (RdRp), it can inhibit RNA virus reverse transcription process and replication process. The results of phase III clinical trials showed that azvudine could significantly shorten the time of nucleic acid conversion in patients with mild to moderate corona virus disease (COVID-19). Compared with the control group, the azvudine group can significantly shorten the improvement time of pneumonia. For moderate and severe patients, azvudine treatment also showed significant therapeutic effects in the time of nucleic acid conversion, discharge, and rehabilitation. CONCLUSION The drug possesses good safety and tolerability in patients, which provide a choice for the clinical treatment of COVID-19.
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Objective To systematically review the efficacy and safety of glucocorticoids for severe COVID-19 and to provide references for the treatment strategy of severe COVID-19 patients. Methods PubMed, EMbase, The Cochrane Library, Web of Science, ClinicalTrials.gov, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials (RCTs) that reported glucocorticoid therapy for severe COVID-19 patients from inception to August 26th, 2021. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.3 software. Results A total of 7 RCTs involving 6 236 patients were included. The meta-analysis results showed that compared with usual care, glucocorticoids significantly reduced the all-cause mortality of severe COVID-19 (RR=0.84, 95%CI 0.77 to 0.91, P<0.000 1), whereas no significant difference was found in the progression of complex diseases between the two groups (RR=0.84, 95%CI 0.69 to 1.01, P=0.06). Glucocorticoids did not increase adverse effects in severe COVID-19 compared with usual care (general adverse events: RR=1.15, 95%CI 0.66 to 2.03, P=0.62;serious adverse events: RR=1.13, 95%CI 0.54 to 2.38, P=0.75). Conclusion Current evidence suggests that glucocorticoids are effective in treating severe COVID-19 without significantly increasing adverse events. However, due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the conclusion.
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Objective To assess the methodological quality of pediatric COVID-19 guidelines using the AGREE Ⅱ. Methods Domestic and foreign pediatric COVID-19 guidelines from inception to 1st Oct 2021 were electronically searched in PubMed, CBM, CNKI, VIP, WanFang Data, Medlive, NGC, GIN, and NICE databases and relevant websites. Two researchers independently assessed the methodological quality of the guidelines by using AGREE Ⅱ. Results A total of 21 guidelines were included. The AGREE Ⅱ results revealed that the average scores of included guidelines in 6 domains (scope and purpose, stakeholder involvement, rigor of development, clarity of presentation, applicability, and editorial independence) were 62.70%, 36.24%, 20.34%, 50.42%, 22.12% and 53.17%, respectively. Conclusion The methodological quality of pediatric COVID-19 guidelines is poor. Guideline developers should follow the requirements of AGREE Ⅱ in guideline development.
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Objective To systematically review the impact of ACEI/ARB (angiotensin converting enzyme inhibitor/angiotensin receptor antagonist) treatment on the clinical outcomes of Chinese patients with COVID-19 infections. Methods PubMed, EMbase, Web of Science, The Cochrane Library, CNKI, WanFang Data, and VIP databases were electronically searched to collect cohort studies on the impact of the treatment with ACEI/ARB on the clinical outcomes of Chinese patients with COVID-19 infections from January 2020 to January 2022. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Then, meta-analysis was performed using RevMan 5.3 software. Results A total of 17 cohort studies involving 4 912 subjects were included. The results of meta-analysis showed that patients who were prescribed ACEI/ARB had shorter hospital stays (SMD=-0.28, 95%CI -0.46 to -0.11, P=0.002) and a lower mortality rate (OR=0.47, 95%CI 0.36 to 0.62, P<0.000 01) than patients who did not take ACEI/ARB. Conclusion Current evidence shows that the use of ACEI/ARB drugs can improve the clinical prognosis of Chinese patients with COVID-19 infections. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
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Objective: To summarize the rules of acupoint selection of acupoint application to prevent and treat lung diseases under the background the post-epidemic era using data-mining technology. Method: The CNKI, Wanfang database, and VIP database were searched for clinical study articles on lung diseases treated by acupoint application published in the past 5 years. Data-eligible papers were extracted to establish a database of acupoint application for lung disease using Microsoft Excel 2019, with the goal of analyzing the frequency of acupoints, acupoint-meridian association, acupoint-location association, specific acupoint frequency, and cluster analysis. Association rules, consisting of acupoints with an application frequency of ≥ 10, were devised by the Apriori algorithm to explore the correlation between acupoint groups and to analyze the rules of the compatibility of acupoint prescriptions. Results: A total of 229 eligible papers met our inclusion criteria. Forty-seven acupoints were applied, for a total frequency of acupoints of 1,035 times. Among these, acupoints for lung diseases were primarily distributed in the back-and-waist and chest-and-abdomen areas. From the analysis of the association rules, we obtained four groups of acupoint association rules based on acupoint clusters with a frequency ≥ 10 and found that Feishu (BL 13), Tiantu (CV 22), Dazhui (GV 14), Dingchuan (EX-B1), and Danzhong (CV 17) constitute the core acupoints of prescriptions for clinical acupoint application to prevent and treat lung diseases. Conclusion: It is clearly shown that the core acupoints are relatively concentrated and that the selected acupoints were mainly locally selected, which could be a matching reference for the long-term prevention and treatment of lung diseases, including COVID-19.
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Objective: To systematically evaluate the incidence of adverse reactions to coronavirus disease 2019 (COVID-19) vaccination. Methods: We systematically searched PubMed, Embase, The Cochrane Library, Web of Science, CNKI, WanFang Data, and VIP Database from the inception of each database to August 31, 2021. Randomized controlled clinical trials (RCTs) on the safety of different types of COVID-19 vaccines were retrieved and analyzed. A random or fixed-effects model was used with an odds ratio as the effect size. The quality of each reference was evaluated. The incidence of the adverse reactions of the placebo group and the vaccination group was compared. Heterogeneity and publication bias were taken care of by meta-regression and sub-group analyses. Results: A total of 13 articles were included, with 81 287 subjects. Compared with the placebo group, the vaccination group showed a higher combined risk ratio (RR) of total adverse reactions (RR=1.67, 95% CI: 1.46-1.91, P<0.01), local adverse reactions (RR=2.86, 95% CI: 2.11-3.87, P<0.01), systemic adverse reactions (RR=1.25, 95% CI: 0.92-1.72, P=0.16), pain (RR=2.55, 95% CI: 1.75-3.70, P<0.01), swelling (RR=4.16, 95% CI: 1.71-10.17, P=0.002, fever (RR=2.34, 95% CI: 1.84-2.97, P<0.01), fatigue (RR=1.36, 95% CI: 1.32-1.41, P<0.01) and headache (RR=1.22, 95% CI: 1.18-1.26, P<0.01). The subgroup analysis showed the incidence of adverse reactions of the vaccination group after injection of the three COVID-19 vaccines (inactivated viral vaccines, mRNA vaccines and adenovirus vector vaccines) was higher than that of the placebo group, and the difference between the placebo group and the vaccination group in the mRNA vaccine subgroup and the adenovirus vector vaccine subgroup was statistically significant (P<0.01). The incidence of adverse reactions after injection of COVID-19 vaccine in subgroups of different ages was significantly higher than that in the placebo group (P<0.01). Conclusions: COVID-19 vaccines have a good safety, among which adenovirus vector vaccine has the highest incidence of adverse reactions. Both adolescents and adults vaccinated with novel coronavirus vaccine have a certain proportion of adverse reactions, but the symptoms are mild and can be relieved by themselves. Our meta-analysis can help boost global awareness of vaccine safety, promote mass vaccination, help build regional and global immune barriers and effectively curb the recurrency of COVID-19.