Antibiotics Use in COVID-19 Patients: A Systematic Literature Review

Journal of Clinical Medicine, Год журнала: 2022, Номер 11(23), С. 7207 - 7207

Опубликована: Дек. 4, 2022

The issue of bacterial infections in COVID-19 patients has received increasing attention among scientists. Antibiotics were widely prescribed during the early phase pandemic. We performed a literature review to assess reasons, evidence and practices on use antibiotics in- outpatients. Published articles providing data identified through computerized searches MEDLINE SCOPUS databases. Searching database, following search terms adopted: ((antibiotic) AND (COVID-19)). used: ((antibiotic treatment) risk bias included studies was not assessed. Both quantitative qualitative information summarized by means textual descriptions. Five-hundred-ninety-three identified, published from January 2020 30 October 2022. Thirty-six this systematic review. Of 36 studies, 32 inpatients 4 antibiotic Apart review, main recommendations treatment 5 guidelines for clinical management also separate paragraph. should be unless there is strong suspicion coinfection or superinfection.

Язык: Английский

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Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study

The Lancet Microbe, Год журнала: 2024, Номер 5(3), С. e272 - e281

Опубликована: Фев. 2, 2024

Viral respiratory tract infections are frequently complicated by secondary bacterial infections. This study aimed to use machine learning predict the risk of superinfection in SARS-CoV-2-positive individuals.

Язык: Английский

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A model for COVID-19 and bacterial pneumonia coinfection with community- and hospital-acquired infections

Mathematical Modelling and Numerical Simulation with Applications, Год журнала: 2022, Номер unknown

Опубликована: Дек. 1, 2022

We propose a new epidemic model to study the coinfection dynamics of COVID-19 and bacterial pneumonia, which is first in literature used describe mathematically interaction these two diseases while considering infection ways for pneumonia: community-acquired hospital-acquired transmission. show that existence local stability equilibria depend on three different parameters, are interpreted as basic reproduction numbers COVID-19, population hospital. Numerical simulations performed complement our theoretical analysis, we both can persist if number greater than one.

Язык: Английский

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Antibiotic Prescription and In-Hospital Mortality in COVID-19: A Prospective Multicentre Cohort Study

Journal of Personalized Medicine, Год журнала: 2022, Номер 12(6), С. 877 - 877

Опубликована: Май 26, 2022

Since the beginning of COVID-19 pandemic, empiric antibiotics (ATBs) have been prescribed on a large scale in both in- and outpatients. We aimed to assess impact antibiotic treatment outcomes hospitalised patients with moderate severe coronavirus disease 2019 (COVID-19).We conducted prospective multicentre cohort study six clinical hospitals, between January 2021 May 2021.We included 553 patients, whom 58% (311/553) were antibiotics, while bacteriological tests performed 57% (178/311) them. Death was outcome 48 patients-39 from ATBs group 9 non-ATBs group. The who received during hospitalisation had higher mortality (RR = 3.37, CI 95%: 1.7-6.8), this association stronger subgroup without reasons for antimicrobial 6.1, 1.9-19.1), therapy not statistically significant (OR 2.33, 0.76-7.17). After adjusting confounders, receiving remained associated only criteria prescription 10.3, 2-52).In our study, did decrease risk death mild COVID-19, but it.

Язык: Английский

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An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe

Antibiotics, Год журнала: 2023, Номер 12(1), С. 144 - 144

Опубликована: Янв. 11, 2023

1.Literature data on bacterial infections and their impact the mortality rates of COVID-19 patients from Romania are scarce, while worldwide reports contrasting. 2.We conducted a unicentric retrospective observational study that included 280 with SARS-CoV-2 infection, whom we performed various microbiological determinations. Based administration or not antibiotic treatment, divided into two groups. First, sought to investigate predictors infections, causative microbial strains, prescribed treatment. Secondly, aimed identify risk factors associated in-hospital death evaluate biomarkers' performance for predicting short-term mortality. 3.Bacterial co-infections secondary were confirmed in 23 (8.2%) patients. Acinetobacter baumannii was pathogen responsible most infections. Almost three quarters (72.8%) received empiric therapy. Multivariate logistic regression has shown leukocytosis intensive care unit admission as C-reactive protein, together length hospital stay, predictors. The ROC curves revealed an acceptable erythrocyte sedimentation rate (AUC: 0.781), protein 0.797), but poor fibrinogen 0.664) fatal events. 4.This highlighted somewhat paradoxical association low high A thorough assessment addition acknowledgment predictors, is crucial identifying high-risk patients, thus allowing timely therapeutic intervention, direct improving patients' prognosis.

Язык: Английский

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The Evolving Challenge of Appropriate Antibiotics Use in Hospitalized COVID-19 Patients: A Systematic Literature Review

Antibiotics, Год журнала: 2024, Номер 13(6), С. 545 - 545

Опубликована: Июнь 12, 2024

The issue of bacterial infections in COVID-19 patients has received increasing attention. Scant data are available on the impact superinfection and antibiotic administration outcome hospitalized patients. We conducted a literature review from 1 January 2022 to 31 March 2024 assess current burden infection evidence for use Published articles providing were identified through computerized searches with search terms [(antibiotic) AND (COVID-19)] or [(antibiotic treatment) (COVID-19)]. PubMed SCOPUS databases searched 2024. No attempt was made obtain information about unpublished studies. English language restriction applied. quality included studies evaluated by tool recommended Joanna Briggs Institute. Both quantitative qualitative summarized means textual descriptions. Five hundred fifty-one identified, twenty-nine this systematic review. Of 29 studies, 18 prevalence patients; 4 reported efficacy early COVID-19; sepsis biomarkers improve use; 3 antimicrobial stewardship programs predictive models among COVID-19-hospitalized high 35% medium 62%. High rates hospital-acquired patients, ranging between 7.5 37.7%. A resistance rate developing infections, in-hospital mortality rate. evaluating multi-faceted interventions decreasing consumption lower mortality.

Язык: Английский

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Coinfection and superinfection in ICU critically ill patients with severe COVID-19 pneumonia and influenza pneumonia: are the pictures different?

Frontiers in Public Health, Год журнала: 2023, Номер 11

Опубликована: Авг. 29, 2023

Similar to influenza, coinfections and superinfections are common might result in poor prognosis. Our study aimed compare the characteristics risks of severe COVID-19 influenza virus pneumonia.The data patients with admitted intensive care unit (ICU) were retrospectively analyzed. The primary outcome was describe prevalence pathogenic distribution coinfections/ICU-acquired population. secondary evaluate independent risk factors for at ICU admission. Multivariate analysis survivors non-survivors performed investigate whether an prognostic factor.In (n = 123) 145) cohorts, incidence 33.3%/43.9 35.2%/52.4%, respectively. most bacteria identified coinfection cases Enterococcus faecium, Pseudomonas aeruginosa, Acinetobacter baumannii (COVID-19 cohort) A. baumannii, P. Klebsiella pneumoniae (influenza cohort). A significant higher proportion events sustained by Aspergillus spp. [(22/123, 17.9% COVID-19) (18/145, 12.4% influenza)]. group had more ICU-acquired Corynebacterium striatum K. pneumoniae. three prevalent pathogens superinfections. Patients APACHE II ≥18, CD8+ T cells ≤90/μL, 50 < age ≤ 70 years susceptible coinfections; while those CRP ≥120 mg/L, IL-8 ≥ 20 pg./mL, blood glucose ≥10 mmol/L, hypertension, smoking a group. superinfection, corticosteroid administration treatment before admission, SOFA score 7 COVID-19.Patients or high represent agents different from general ward. These high-risk should be closely monitored empirically treated effective antibiotics according pathogen.

Язык: Английский

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Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study

Antimicrobial Resistance and Infection Control, Год журнала: 2024, Номер 13(1)

Опубликована: Апрель 14, 2024

Abstract Background COVID-19 and bacterial/fungal coinfections have posed significant challenges to human health. However, there is a lack of good tools for predicting coinfection risk aid clinical work. Objective We aimed investigate the factors among patients develop machine learning models estimate coinfection. Methods In this retrospective cohort study, we enrolled adult inpatients confirmed with in tertiary hospital between January 1 July 31, 2023, China collected baseline information at admission. All data were randomly divided into training set testing ratio 7:3. developed generalized linear random forest assessed performance set. Decision curve analysis was performed evaluate applicability. Results A total 1244 included 62 healthcare-associated infections, while 534 22 infections. found that comorbidities (diabetes, neurological disease) greater than those without (OR = 2.78, 95%CI 1.61–4.86; OR 1.93, 1.11–3.35). An indwelling central venous catheter or urinary also associated an increased 2.53, 1.39–4.64; 2.28, 1.24–4.27) coinfections. Patients PCT > 0.5 ng/ml 2.03 times (95%CI 1.41–3.82) more likely be infected. Interestingly, IL-6 concentration < 10 pg/ml 1.69, 0.97–2.94). low creatinine levels had decreased coinfections(OR 0.40, 0.22–0.71). The demonstrated favorable receiver operating characteristic curves (ROC 0.87, 0.80–0.94; ROC 0.88, 0.82–0.93) high accuracy, sensitivity specificity 0.86vs0.75, 0.82vs0.86, 0.87vs0.74, respectively. corresponding calibration evaluation P statistics 0.883 0.769. Conclusions Our achieved strong predictive ability may effective decision-support identifying guiding antibiotic administration. cytokines, such as IL-6, affect status

Язык: Английский

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"Multidrug-Resistant Bacteria Related to Covid-19 Infection: A Minireview"

Biomedical Journal of Scientific & Technical Research, Год журнала: 2024, Номер 55(3)

Опубликована: Март 5, 2024

The World Health Organization recorded antimicrobial multidrug resistance as one of the biggest health risks in 2019. inappropriate use antibiotics results their consequent ineffectiveness treatment bacterial infections, hindering therapeutic alternatives and increasing risk poor prognosis. In late 2019, a single-stranded RNA zoonotic virus, SARS-CoV-2, was identified caused Coronavirus Disease-19 pandemic. prophylactically for secondary infections measures taken emergency scenario.

Язык: Английский

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Are C-reactive protein and procalcitonin safe and useful for antimicrobial stewardship purposes in patients with COVID-19? A scoping review

Antimicrobial Stewardship & Healthcare Epidemiology, Год журнала: 2024, Номер 4(1)

Опубликована: Янв. 1, 2024

The primary objectives of this study were to assess the usefulness C-reactive protein (CRP) and procalcitonin (PCT) in diagnosis bacterial co-infections coronavirus disease 2019 (COVID-19) if their incorporation antimicrobial stewardship (AMS) programs is safe useful, stratified by severity as level care, intensive care unit (ICU) or non-ICU. Our secondary identify cut-off values for antibiotic decision-making reported results from low- middle-income countries (LMICs).

Язык: Английский

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