Efficacy and safety of antimicrobial stewardship prospective audit and feedback in patients hospitalised with COVID-19 (COVASP): a pragmatic, cluster-randomised, non-inferiority trial

Antibiotic spectrum coverage scoring as a potential metric for evaluating the antimicrobial stewardship team activity: a single-center study

OBJECTIVE

Days of antibiotic spectrum coverage (days of ASC: DASC) is a metric for antibiotic usage calculated by ASC scores for spectrum and addresses limitations of days of therapy (DOT), which does not include spectrum. This study aims to investigate whether ASC-related metrics offer different aspects compared to aggregated DOT for all antibiotics (DOTtotal) and to assess their correlation in evaluating the impact of antimicrobial stewardship team (AST) programs.

DESIGN

Retrospective.

SETTING

A single center within an 845-bed hospital.

METHODS

Trends in DOTtotal, DASC, and the DASC/DOT ratio, representing the average spectrum coverage per therapy day, were analyzed pre- and post-AST programs (April 2018) from January 2015 to December 2023, using interrupted time series analysis. Independent of the DASC/DOT, we also advocated ASC-stratified DOT (ASDOT), which facilitates comprehensive evaluation of DOT across ASC scores of <6, 6-10, and >10, representing narrow-, intermediate-, and broad-spectrum antibiotics.

RESULTS

Among inpatients, AST programs significantly moderated the increasing trends of these metrics. Specifically, although the rates of increase in DOTtotal and DASC were slowed or plateaued, the DASC/DOT ratio decreased (P < 0.001). ASDOT metrics revealed a decrease and subsequent plateau in DOTtotal for the broad- and intermediate-spectrum antibiotics, with an increase observed for the narrow-spectrum antibiotics (P < 0.001 for each). DASC did not provide additional insights in the outpatient's population.

CONCLUSIONS

The study demonstrates that ASC-related metrics may yield different and useful conclusions about the effectiveness of AST programs for inpatients.

Outcomes of patients hospitalized in ward settings for COVID-19 pneumonia with or without early empirical antibiotics

BACKGROUND

During the first pandemic of COVID-19, early empirical antibiotic use rates for pneumonia varied widely. The benefit remains hypothetical.

METHODS

We assessed the benefit of empirical antibiotic use at admission in patients hospitalized with COVID-19 pneumonia. We enrolled all adults admitted from 1 March to 30 April 2020 with symptoms for ≤14 days, a positive nasopharyngeal PCR or a highly suggestive CT scan. The primary outcome was mortality at Day 28. The secondary outcomes were transfer to the ICU, mechanical ventilation and length of hospital stay. To handle confounding-by-indication bias, we used a propensity score analysis, expressing the outcomes in the original and overlap weighted populations.

RESULTS

Among 616 analysed patients, 402 (65%) received antibiotics. At Day 28, 102 patients (17%) had died, 90 (15%) had been transferred to the ICU and 24 (4%) had required mechanical ventilation. Mortality in patients who received antibiotics was higher before but not after weighting (OR 2.7, 95% CI 1.5-5.0, P < 0.001 and OR 1.4, 95% CI 0.8-2.5, P = 0.28, respectively. Antibiotic use had no benefit on: transfer to ICU before and after weighting (OR 1.3, 95% CI 0.8-2.3, P = 0.30 and OR 1.1, 95% CI 0.6-1.9, P = 0.78, respectively); mechanical ventilation before and after weighting (OR 0.5, 95% CI 0.2-1.1, P = 0.079 and OR 0.75, 95% CI 0.3-2.0, P = 0.55, respectively); and length of hospital stay before and after weighting (mean difference -0.02 ± 0.5 days, P = 0.97 and mean difference 0.54 ± 0.75 days, P = 0.48, respectively).

CONCLUSIONS

We did not find any benefit of antibiotic use in patients hospitalized with COVID-19 pneumonia.

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

BACKGROUND

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

METHODS

In this prospective, multicentre, observational cohort study done in nine centres in six countries (Australia, Indonesia, Singapore, Italy, Czechia, and France) blood samples and RNA sequencing were used to develop a robust model of predicting secondary bacterial infections in the respiratory tract of patients with COVID-19. Eligible participants were older than 18 years, had known or suspected COVID-19, and symptoms of a recent respiratory infection. A control cohort of participants without COVID-19 who were older than 18 years and with no infection symptoms was also recruited from one Australian centre. In the pre-analysis phase, data were filtered to include only individuals with complete blood transcriptomics and patient data (ie, age, sex, location, and WHO severity score at the time of sample collection). The dataset was then divided randomly (4:1) into a training set (80%) and a test set (20%). Gene expression data in the training set and control cohort were used for differential expression analysis. Differentially expressed genes, along with WHO severity score, location, age, and sex, were used for feature selection with least absolute shrinkage and selection operator (LASSO) in the training set. For LASSO analysis, samples were excluded if gene expression data were not obtained at study admission, no longitudinal clinical information was available, a bacterial infection at the time of study admission was present, or a fungal infection in the absence of a bacterial infection was detected. LASSO regression was performed using three subsets of predictor variables: patient data alone, gene expression data alone, or a combination of patient data and gene expression data. The accuracy of the resultant models was tested on data from the test set.

FINDINGS

Between March, 2020, and October, 2021, we recruited 536 SARS-CoV-2-positive individuals and between June, 2013, and January, 2020, we recruited 74 participants into the control cohort. After prefiltering analysis and other exclusions, samples from 158 individuals were analysed in the training set and 47 in the test set. The expression of seven host genes (DAPP1, CST3, FGL2, GCH1, CIITA, UPP1, and RN7SL1) in the blood at the time of study admission was identified by LASSO as predictive of the risk of developing a secondary bacterial infection of the respiratory tract more than 24 h after study admission. Specifically, the expression of these genes in combination with a patient's WHO severity score at the time of study enrolment resulted in an area under the curve of 0·98 (95% CI 0·89-1·00), a true positive rate (sensitivity) of 1·00 (95% CI 1·00-1·00), and a true negative rate (specificity) of 0·94 (95% CI 0·89-1·00) in the test cohort. The combination of patient data and host transcriptomics at hospital admission identified all seven individuals in the training and test sets who developed a bacterial infection of the respiratory tract 5-9 days after hospital admission.

INTERPRETATION

These data raise the possibility that host transcriptomics at the time of clinical presentation, together with machine learning, can forward predict the risk of secondary bacterial infections and allow for the more targeted use of antibiotics in viral infection.

FUNDING

Snow Medical Research Foundation, the National Health and Medical Research Council, the Jack Ma Foundation, the Helmholtz-Association, the A2 Milk Company, National Institute of Allergy and Infectious Disease, and the Fondazione AIRC Associazione Italiana per la Ricerca contro il Cancro.

The experience of an antimicrobial stewardship program and antibiotic consumption and resistance trends during the COVID-19 pandemic at a tertiary care center in Beirut

BACKGROUND

Antimicrobial Resistance, a global concern, worsened with the COVID-19 pandemic that caused a surge of critically ill patients, increased antimicrobial consumption, and the spread of infections with multidrug-resistant organisms (MDROs). Antimicrobial Stewardship Programs (ASP) aim to optimize antimicrobial utilization to fight resistance. We aim to describe the ASP experience and to study antimicrobial consumption and MDRO rates among COVID-19 patients at a tertiary care center in Beirut.

METHODS

We compiled the ASP interventions, defined as ASP team recommendations, from January 2019 until December 2021. Data on antimicrobial consumption, expressed as a defined daily dose (DDD) per 100 patient days, was collected per quarter for all antimicrobials and restricted antimicrobials per ASP guidance. Our primary objective was to report on the ASP experience, and the secondary objective was to reflect on the rates of MDROs among hospitalized COVID-19 patients with respiratory or bloodstream bacterial co-infections between March 2020 and September 2021.

RESULTS

9922 ASP interventions were documented during this study period, with a noticeable correlation between COVID-19 surges in Lebanon and the number of ASP interventions. Acceptance rates for these recommendations improved over time, with a noticeable decrease in the proportion of interventions related to de-escalation and discontinuation of broad-spectrum antimicrobials. We noted an increase in all antimicrobial consumption after the onset of the pandemic, peaking in Q4 2020 (142.8 DDD of anti-infectives/100 patient days) and Q1 2021 (79.1 DDD of restricted anti-infectives/100 patient days). As expected, MDROs, particularly ESKAPE organisms (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Carbapenem-resistant Enterobacteriaceae) accounted for 24% of isolates obtained from this cohort.

CONCLUSION

This study highlights the experience of the ASP as we adapted to the COVID-19 pandemic. The ASP team maintained its operations and continued to monitor antibiotic consumption and provide recommendations to limit antibiotic misuse in an effort to mitigate the impact of the pandemic on antimicrobial resistance.

Risk factors for mortality in severe COVID-19: Exploring the interplay of immunomodulatory therapy and coinfection

Patients with severe clinical manifestations of coronavirus disease 2019 (COVID-19) present particular diagnostic and management challenges to critical care physicians, including identifying and responding to concurrent bacterial and fungal coinfections. This study evaluates risk factors for in-hospital mortality in patients admitted to the intensive care unit with severe COVID-19 during circulation of the B.1.617.2 (Delta) variant, including the impact of immunomodulators and bacterial and/or fungal coinfection. This retrospective cohort study enrolled patients with severe COVID-19. A Cox proportional hazard ratio analysis identified risk factors for in-hospital mortality. Outcomes were also compared between patients receiving and not receiving immunomodulatory therapy alongside standard care. Ninety patients admitted to the intensive care unit were enrolled. On multivariate analysis, the greatest risk factors for in-hospital mortality were invasive mechanical ventilation (hazard ratio (HR) = 15.27; 95% confidence interval (CI) 3.29-71.0; P < 0.001), elevated body mass index (HR = 1.07 per unit; 95% CI 1.02-1.13; P = 0.007) and older age (HR = 1.53 per decade; 95% CI 1.05-2.24; P = 0.028). Bacterial and/or fungal coinfection occurred at equal frequency in patients receiving and not receiving immunomodulatory therapy. However, in patients receiving immunomodulators, coinfection carried a significantly higher mortality risk (63.0%) compared with those without coinfection (15.4%; P = 0.038). Mortality from severe COVID-19 is significantly higher in older patients and those with elevated body mass index and requiring mechanical ventilation. Immunomodulatory therapy necessitates vigilance towards evolving coinfection in the intensive care setting.

Extracorporeal membrane oxygenation for COVID-19-associated severe acute respiratory distress syndrome in Canada: Analysis of data from the Canadian Nosocomial Infection Surveillance Program

Background

Extracorporeal membrane oxygenation (ECMO) for COVID-19 across Canada has not been well-described. We studied trends for patients with COVID-19-related acute respiratory distress syndrome who received ECMO.

Methods

Multicentre retrospective cohort study using data from the Canadian Nosocomial Infection Surveillance Program across four different waves. Surveillance data was collected between March 2020 and June 2022. We reported data stratified by ECMO status and wave.

Results

ECMO recipients comprised 299 (6.8%) of the 4,408 critically ill patients included. ECMO recipients were younger (median age 49 versus 62 years, p < 0.001), less likely to be vaccinated against COVID-19 (Wave 4 data: 5.3% versus 19%; p = 0.002), and had fewer comorbidities compared to patients who did not receive ECMO. Thirty-day all-cause mortality was similar between the ECMO and non-ECMO groups (23% versus 26%; p = 0.25). Among ECMO recipients, mortality tended to decrease across Waves 1 to 4: 48%, 31%, 18%, and 16%, respectively (p = 0.04 for trend). However, this was no longer statistically significant when removing the high mortality during Wave 1 (p = 0.15).

Conclusions

Our findings suggest that critically ill patients in Canadian hospitals who received ECMO had different characteristics from those who did not receive ECMO. We also observed a trend of decreased mortality over the waves for the ECMO group. Possible explanatory factors may include potential delay in ECMO initiation during Wave 1, evolution of the virus, better understanding of COVID-19 disease and ECMO use, and new medical treatments and vaccines available in later waves. These findings may provide insight for future potential pandemics.

Antimicrobial Stewardship and Pandemic Preparedness: Harnessing Lessons Learned to Advance Our Mission

Antimicrobial stewardship programs (ASPs) demonstrated poise and resilience in assisting with COVID-19 efforts across the globe, harnessing expertise in diagnostic stewardship, therapeutics, protocol development, and use of technology to rapidly expand their scope through strategic collaborations, dissemination of content expertise, and numerous contributions to the body of knowledge on COVID-19. Lessons learned from pandemic response should be used to advance the mission of ASPs and secure a "seat at the table" as health systems continue to expand and adapt to future public health crises.

Antibiotic Use Among Hospitalized Patients With COVID-19 in the United States, March 2020-June 2022

We conducted a retrospective study to describe antibiotic use among US adults hospitalized with a COVID-19 diagnosis. Despite a decrease in overall antibiotic use, most patients hospitalized with COVID-19 received antibiotics on admission (88.1%) regardless of critical care status, highlighting that more efforts are needed to optimize antibiotic therapy.

Use of antibiotics in hospitalized patients with COVID-19: evolving concepts in a highly dynamic antimicrobial stewardship scenario

INTRODUCTION

Excessive use of antibiotics has been frequently reported in hospitalized patients with COVID-19 worldwide, compared to the actual number of bacterial co-infections or super-infections.

AREAS COVERED

In this perspective, we discuss the current literature on the use of antibiotics and antimicrobial stewardship interventions in hospitalized patients with COVID-19. A search was conducted in PubMed up to March 2023.

EXPERT OPINION

The COVID-19 pandemic has witnessed an excessive use of antibiotics in hospitals worldwide, especially before the advent of COVID-19 vaccination, although according to the most recent data there is still an important disproportion between the prevalence of antibiotic use and that of proven bacterial coinfection or superinfections. An important reduction in the prevalence of antibiotic use in COVID-19 patients reported in the literature, from 70-100% to 50-60%, has been observed after successful vaccination campaigns, likely related to the reduced median disease severity of hospitalized COVID-19 patients and some successful interventions of antimicrobial and diagnostic stewardship. However, the disproportion between antibiotic use and the prevalence of bacterial infections (4-6%) is still uncomfortable from an antimicrobial stewardship perspective and requires further attention.

Editorial of Special Issue "The COVID-19 Pandemic and Bacterial Infections: Microbiological and Clinical Aspects"

The emergence in late 2019 of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the pandemic coronavirus disease 2019 (COVID-19), posed significant health challenges worldwide [...].