Publications by authors named "Mengzhao Yang"

Objectives: Azvudine and Paxlovid are the primary antiviral agents for the management of COVID-19. However, there is currently insufficient evidence regarding the effectiveness and safety of these drugs in treating COVID-19 patients with pre-existing hypertension. The objective of this study was to assess their effectiveness and safety among those patients in a real-world context.

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Background: Azvudine and nirmatrelvir/ritonavir are recommended as priority treatments for SARS-CoV-2 infection in China, but their effectiveness and safety in patients with pre-existing chronic liver diseases remains unknown.

Methods: We conducted a multicenter retrospective cohort study of hospitalized SARS-CoV-2 infected patients with chronic liver diseases in ten hospitals of Henan Province. Azvudine recipients were 2:1 propensity score matched with nirmatrelvir/ritonavir recipients.

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Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression.

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Introduction: During the Omicron infection wave, diabetic patients are susceptible to COVID-19, which is linked to a poor prognosis. However, research on the real-world effectiveness and safety of Azvudine, a common medication for COVID-19, is insufficient in those with pre-existing diabetes.

Methods: In this retrospective study, we included 32,864 hospitalized COVID-19 patients from 9 hospitals in Henan Province.

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Background: Patients with kidney disease (KD) are at high risk of contracting COVID-19 and developing severe disease. There is still a lack of guidance regarding the treatment of COVID-19 in patients with KD. The safety and effectiveness of Azvudine in treating COVID-19 patients with KD remain unknown.

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Azvudine and nirmatrelvir-ritonavir are prioritized treatments for SARS-CoV-2 infection in China, but their effectiveness and safety in hospitalized patients with COVID-19 and pre-existing diabetes remains unknown. In this retrospective cohort study, we collected 32,864 hospitalized COVID-19 patients from nine hospitals, among which 636 azvudine recipients and 318 nirmatrelvir-ritonavir recipients were enrolled for final analysis after exclusion and propensity score matching. Kaplan-Meier and multivariate Cox regression analysis results showed that azvudine had a lower risk of all-cause death compared with nirmatrelvir-ritonavir for the treatment of patients with COVID-19 and pre-existing diabetes (log rank:  = 0.

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Despite azvudine being prioritized for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, its effectiveness and safety remain inadequately substantiated in hospitalized SARS-CoV-2 infected patients with liver diseases. A retrospective nine-center cohort study along with an independent validation cohort is conducted to examine the efficacy of azvudine (Clinical Trial Registration Number: NCT06349655). The primary outcome is all-cause mortality and the secondary outcome is composite disease progression.

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Azvudine is recommended as a priority treatment for patients with Coronavirus Disease 2019 (COVID-19) during Omicron wave in China, but its efficacy and safety in elderly patients is unknown. In this multicenter, retrospective study, we identified 19763 elderly patients (aged over 60 years) with COVID-19 from nine hospitals in Henan Province, China. The primary outcome is all-cause death and the secondary outcome is composite disease progression.

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Azvudine and nirmatrelvir-ritonavir (Paxlovid) were widely used to treat patients with COVID-19 in China during the Omicron wave. However, the efficacy and safety of azvudine versus Paxlovid are poorly established. This study included 40,876 hospitalized patients with COVID-19 from eleven hospitals in Henan and Xinjiang Provinces, China.

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Objectives: Azvudine has been designated as a priority treatment for patients infected with SARS-CoV-2, however, clinical evidence in hospitalized cases remains insufficient.

Methods: We performed a multi-center, retrospective cohort study to evaluate the effectiveness and safety of azvudine in hospitalized patients with SARS-CoV-2 in China (NCT06349655). Kaplan-Meier method, Cox regression model, subgroup analysis, and seven sensitive analyses were employed.

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Vaccination has emerged as the primar approach for managing the COVID-19 pandemic. Despite certain clinical trials reporting the safety and immunogenicity of CoronaVac, additional multicenter real-world studies are still necessary. In this study, we recruited 506 healthy volunteers who were not infected with COVID-19 or vaccinated.

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Regulation of gut microbiota and its impact on human health is the theme of intensive research. The incidence and prevalence of atrial fibrillation (AF) are continuously escalating as the global population ages and chronic disease survival rates increase; however, the mechanisms are not entirely clarified. It is gaining awareness that alterations in the assembly, structure, and dynamics of gut microbiota are intimately engaged in the AF progression.

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Dense, thick, but fast-ion-conductive electrodes are critical yet challenging components of ultrafast electrochemical capacitors with high volumetric power/energy densities. Here we report an exfoliation-fragmentation-restacking strategy towards thickness-adjustable (1.5‒24.

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The rapid development of remote sensing (RS) technology has resulted in the proliferation of high-resolution images. There are challenges involved in not only storing large volumes of RS images but also in rapidly retrieving the images for ocean disaster analysis such as for storm surges and typhoon warnings. In this paper, we present an efficient retrieval of massive ocean RS images via a Cloud-based mean-shift algorithm.

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