In-Hospital Antibiotic Use for COVID-19: Facts and Rationales Assessed through a Mixed-Methods Study

Stoichitoiu, Laura Elena; Pinte, Larisa; Ceasovschih, Alexandr; Cernat, Roxana Carmen; Vlad, Nicoleta Dorina; Pădureanu, Vlad; Şorodoc, Laurenţiu; Hristea, Adriana; Purcarea, Adrian; Badea, Camelia; Băicuș, Cristian

doi:10.3390/jcm11113194

Cited by 11 publications

(15 citation statements)

References 21 publications

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“…They found that the drug contents in wastewater varied with the type of hospital, and ARGs were specific to the microbial species in the wastewater. Significant differences have also been noted in the dosages and types of drugs even in different clinical departments in the same hospital and among different doctors in the same department [14]. Antibiotics, such as amoxicillin, cefuroxime, levofloxacin, azithromycin, and metronidazole, are routinely used to treat infections.…”

Section: Introductionmentioning

confidence: 99%

Metagenomics Analysis of Microbial Species and Antibiotic Resistance Genes (ARGs) in Untreated Wastewater from Different Types of Hospitals in Hangzhou

Chen

Zhou

Song

et al. 2022

Adsorption Science & Technology

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Antibiotic resistance genes (ARGs) are contaminants that can propagate through a variety of environmental media. They contribute to an increase in the number of antibiotic-resistant microbes and thereby pose a danger to human health. Discharge from hospitals is the most significant contributor of ARGs and antibiotic-resistant bacteria to the natural environment. A comprehensive understanding of the microbiological structure and the distribution of ARGs in hospital wastewater can facilitate appropriate treatment of such wastewater and can improve our understanding of the pathophysiology of several epidemic illnesses. In this work, metagenomics techniques were used to compare the microbial species and ARGs in a control group with those in untreated wastewater from three types of hospitals (a general hospital, a hospital of traditional Chinese medicine, and an oral specialty hospital). The microbiota found in the hospital wastewater represented 6,415 species and 244 phyla. The composition of the bacterial community in the wastewater from the three hospitals was significantly different from that in the control group. The ARGs in the samples were also analyzed using the Antibiotic Resistance Genes Database (ARDB) and Comprehensive Antibiotic Resistance Database (CARD). Finally, the link between abundant species and ARGs in the samples was examined. The findings of this study indicate that a connection exists between the microbial species and the ARG composition found in the wastewater samples. A variety of distinct genera of ARGs, each having their own unique correlations, have been found in wastewater from various hospitals. Consequently, the ARGs and microbial species found in the untreated wastewater from various hospitals have unique characteristics. Therefore, more detailed protocols need to be established to treat wastewater from various types of hospitals. Further studies should examine whether a connection exists between the various microbial species found in the wastewater of various types of hospitals and certain illnesses.

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Section: Introductionmentioning

confidence: 99%

Metagenomics Analysis of Microbial Species and Antibiotic Resistance Genes (ARGs) in Untreated Wastewater from Different Types of Hospitals in Hangzhou

Chen

Zhou

Song

et al. 2022

Adsorption Science & Technology

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“…20 Other reports during the pandemic showed that azithromycin consumption increased up to 3 times compared to the pre-COVID period. 19–21…”

Section: Discussionmentioning

confidence: 99%

Antibiotic Utilisation Patterns in Tanzania: A Retrospective Longitudinal Study Comparing Pre- and Post-COVID-19 Pandemic Using Tanzania Medicines and Medical Devices Authority Data

Sangeda,

William,

Masatu

et al. 2023

Preprint

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SynopsisBackgroundAntimicrobial resistance (AMR) is a growing public health concern globally, and misuse of antibiotics is a major contributor.ObjectiveThis study investigated antibiotic utilisation patterns before and after the COVID-19 pandemic in Tanzania using data from the Tanzania Medicines and Medical Devices Authority (TMDA).MethodsThis retrospective longitudinal study analysed secondary data. The study compared antibiotics consumption in defined daily doses (DDD) per 1000 inhabitants per day (DID) in two distinct eras: 2018-2019 as the pre-COVID-19 era and 2020-2021 as the post-COVID-19 era. Data was reorganised using Microsoft Power BI, and statistical analysis was conducted using SPSS software.ResultsThe study analysed 10,614 records and found an overall increase in antibiotics consumption from 2018 to 2021. When we divided the consumption of antibiotics into a pre- and post-COVID time period, with the pre-COVID period being 2018 and 2019 and the post-COVID period being 2020 and 2021, we found that the consumption was 61.24 DID in the post-COVID era and 50.32 DID in the pre-COVID era. Levofloxacin had the highest percentage increase in use, with a 700% increase in DID after the pandemic. Azithromycin had a 163.79% increase, while cefotaxime had a 600% increase. In contrast, some antibiotics exhibited a decrease in usage after the pandemic, such as nalidixic acid, which had a 100% decrease, and cefpodoxime, 66.67% decrease.ConclusionThe increase in antibiotic consumption during the COVID-19 pandemic highlights the importance of implementing effective antimicrobial stewardship strategies to prevent AMR, especially during pandemics.

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“…Through bibliometric analysis and scientific knowledge mapping of the field of depression research during COVID-19, the following aspects may also be of interest in the future. First, most articles in the field of depression research during COVID-19 have been studied using quantitative research methods, and few have been studied using a mixture of qualitative and quantitative research methods ( 108 , 109 ). Second, by reading the articles, it was established that most of the scales used to assess depression in the field articles were developed before the pandemic.…”

Section: Discussionmentioning

confidence: 99%

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

et al. 2022

Front. Public Health

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BackgroundThe COVID-19 pandemic has led to public health problems, including depression. There has been a significant increase in research on depression during the COVID-19 pandemic. However, little attention has been paid to the overall trend in this field based on bibliometric analyses.MethodsCo-Occurrence (COOC) and VOSviewer bibliometric methods were utilized to analyze depression in COVID-19 literature in the core collection of the Web of Science (WOS). The overall characteristics of depression during COVID-19 were summarized by analyzing the number of published studies, keywords, institutions, and countries.ResultsA total of 9,694 English original research articles and reviews on depression during COVID-19 were included in this study. The United States, China, and the United Kingdom were the countries with the largest number of publications and had close cooperation with each other. Research institutions in each country were dominated by universities, with the University of Toronto being the most productive institution in the world. The most frequently published author was Ligang Zhang. Visualization analysis showed that influencing factors, adverse effects, and coping strategies were hotspots for research.ConclusionThe results shed light on the burgeoning research on depression during COVID-19, particularly the relationship between depression and public health. In addition, future research on depression during COVID-19 should focus more on special groups and those at potential risk of depression in the general population, use more quantitative and qualitative studies combined with more attention to scale updates, and conduct longitudinal follow-ups of the outcomes of interventions. In conclusion, this study contributes to a more comprehensive view of the development of depression during COVID-19 and suggests a theoretical basis for future research on public health.

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In-Hospital Antibiotic Use for COVID-19: Facts and Rationales Assessed through a Mixed-Methods Study

Cited by 11 publications

References 21 publications

Metagenomics Analysis of Microbial Species and Antibiotic Resistance Genes (ARGs) in Untreated Wastewater from Different Types of Hospitals in Hangzhou

Metagenomics Analysis of Microbial Species and Antibiotic Resistance Genes (ARGs) in Untreated Wastewater from Different Types of Hospitals in Hangzhou

Antibiotic Utilisation Patterns in Tanzania: A Retrospective Longitudinal Study Comparing Pre- and Post-COVID-19 Pandemic Using Tanzania Medicines and Medical Devices Authority Data

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

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