Study on patients with
            <i>Clostridioides difficile</i>
            infection during the COVID-19 pandemic in Bulgaria

Velev, Valeri; Pavlova, Maria; Alexandrova, Ekaterina; Popov, Мetodi; Lutakov, Ivan; Tcherveniakova, Tatiana; Angelova, Andreana; Hristozova, Eli; Kalchev, Yordan; Ivanov, Ivan

doi:10.1080/13102818.2023.2169194

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…13,14 Contrary to these studies, Velev et al found a significant increase in the incidence of HA -CDI during the COVID-19 pandemic compared to the pre-pandemic period at one university hospital in Bulgaria. 15 In the group of HA -CDI patients during the observed period in 2020, 40.5 % patients had COVID-19 as the primary disease. Departments where patients with COVID-19 were hospitalised had a higher incidence of HA -CDI than departments that were not.…”

Section: Discussionmentioning

confidence: 93%

Epidemiological and clinical characteristics of patients with healthcare: Associated Clostridioides difficile infection before and during the COVID-19 pandemic

Knežević¹,

Jović²,

Petković³

2023

Scripta Medica

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Background/Aim: Diarrhoea that occurs as a result of the presence of Clostridium difficile (reclassified as Clostridioides difficile) is usually manifested as a hospital infection, usually after antibiotic treatment. The study aim was to assess the incidence, characteristics and outcomes of hospitalised patients with healthcare - associated Clostridioides difficile infection (HA - CDI) before and during the COVID-19 pandemic. Methods: This retrospective cohort study included patients older than 18, who met the HA - CDI case definition. The CDI diagnosis was made by demonstrating toxins A and B in stool samples using an immunochromatographic assay test and polymerase chain reaction (PCR). Results: The incidence of HA - CDI has significantly decreased from the preCOVID-19 period to the COVID-19 period (11.04 per 10,000 vs 6.49 per 10,000, p < 0.001). Before establishing the HA - CDI diagnosis, 41.4 % of patients used one antibiotic, 25.9 % used two and 11.2 % were treated with three or more antibiotics. Almost one half of the applied antibiotics were from the group that represents high risk for the development of HA - CDI. Multivariable logistic regression analysis showed that older age (OR = 3.4; 95 % CI = 0.9-12.4; p = 0.038) and complicated disease course (OR = 11.8; 95 % CI = 2.6-53.6; p ≤ 0.001) were associated with a higher risk of death. Conclusion: The incidence of HA - CDI has decreased during the observed period of the COVID-19 pandemic, however, no clear connection between the impact of the pandemic and incidence reduction was found. Due to unfavourable outcome of the treatment of HA - CDI patients during COVID-19 pandemic, the rational use of antibiotics is necessary.

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Section: Discussionmentioning

confidence: 93%

Epidemiological and clinical characteristics of patients with healthcare: Associated Clostridioides difficile infection before and during the COVID-19 pandemic

Knežević¹,

Jović²,

Petković³

2023

Scripta Medica

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“…COVID-19 became a major issue for China in December 2019 and then turned into a global concern in the next few weeks (1,2). In China, COVID-19 first broke out in Wuhan and then quickly spread all over China.…”

Section: Introductionmentioning

confidence: 99%

Analysis of COVID-19 outbreak in Hubei province based on Tencent's location big data

Hua

Ran

2023

Front. Public Health

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Rapid urbanization has gradually strengthened the spatial links between cities, which greatly aggravates the possibility of the spread of an epidemic. Traditional methods lack the early and accurate detection of epidemics. This study took the Hubei province as the study area and used Tencent's location big data to study the spread of COVID-19. Using ArcGIS as a platform, the urban relation intensity, urban centrality, overlay analysis, and correlation analysis were used to measure and analyze the population mobility data of 17 cities in Hubei province. The results showed that there was high similarity in the spatial distribution of urban relation intensity, urban centrality, and the number of infected people, all indicating the spatial distribution characteristics of “one large and two small” distributions with Wuhan as the core and Huanggang and Xiaogan as the two wings. The urban centrality of Wuhan was four times higher than that of Huanggang and Xiaogan, and the urban relation intensity of Wuhan with Huanggang and Xiaogan was also the second highest in the Hubei province. Meanwhile, in the analysis of the number of infected persons, it was found that the number of infected persons in Wuhan was approximately two times that of these two cities. Through correlation analysis of the urban relation intensity, urban centrality, and the number of infected people, it was found that there was an extremely significant positive correlation among the urban relation intensity, urban centrality, and the number of infected people, with an R2 of 0.976 and 0.938, respectively. Based on Tencent's location big data, this study conducted the epidemic spread research for “epidemic spatial risk classification and prevention and control level selection” to make up for the shortcomings in epidemic risk analysis and judgment. This could provide a reference for city managers to effectively coordinate existing resources, formulate policy, and control the epidemic.

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Clostridioides difficile infection following COVID-19: A nationwide analysis using routine surveillance data in Wales

Hilvers,

Matizanadzo,

McClure

et al. 2024

Journal of Hospital Infection

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Study on patients with Clostridioides difficile infection during the COVID-19 pandemic in Bulgaria

Cited by 4 publications

References 18 publications

Epidemiological and clinical characteristics of patients with healthcare: Associated Clostridioides difficile infection before and during the COVID-19 pandemic

Epidemiological and clinical characteristics of patients with healthcare: Associated Clostridioides difficile infection before and during the COVID-19 pandemic

Analysis of COVID-19 outbreak in Hubei province based on Tencent's location big data

Clostridioides difficile infection following COVID-19: A nationwide analysis using routine surveillance data in Wales

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