National surveillance of bacterial and fungal coinfection and secondary infection in COVID-19 patients in England: lessons from the first wave

Building bridges to operationalize One Health - A longitudinal two years' AMR study in England using clinical and wastewater-based surveillance approaches

OBJECTIVES

The COVID-19 pandemic impacted antimicrobial resistance (AMR) in clinical settings, but evidence is lacking. Considering this, we evaluated community-wide AMR in the shadow of COVID-19, using wastewater-based epidemiology (WBE).

METHODS

590 wastewater samples were collected from four contrasting communities in England between April 2020 and March 2022 to test for antibiotics used, their metabolites and persistent antibiotic resistance genes (ARGs). Catchment wide COVID-19 cases and antibiotic prescription data were triangulated with WBE data to evaluate impact of COVID-19 pandemic on changes in antibiotics use and resulting AMR at fine spatio-temporal resolution.

RESULTS

Observed reduction in antibiotic consumption and AMR prevalence during COVID pandemic (especially during lockdowns) is likely due to reduced social interactions rather than due to reduced antibiotic prescribing. Population-normalised daily intake & daily prescription showed an increase of 17.2% and 5.8%, respectively in 2021-22, in comparison to the previous pandemic year. Of the 17 antibiotics targeted, amoxicillin and clarithromycin were clearly affected by COVID-19 restrictions during the year 2020-21 with an average of 31.5% (p < 0.01) and 13.5% (p < 0.05) lower usage, respectively, followed by an increase in 2021-22. This has significant implications for practice and policy that currently focusses on the reduction of antibiotics as the key risk factor in AMR.

CONCLUSIONS

Better, more holistic strategies encompassing One Health philosophy are needed to understand and act upon the AMR challenge.

Clinical prediction model for bacterial co-infection in hospitalized COVID-19 patients during four waves of the pandemic

The reported estimates of bacterial co-infection in COVID-19 patients are highly variable. We aimed to determine the rates and risk factors of bacterial co-infection and develop a clinical prediction model to support early decision-making on antibiotic use. This is a retrospective cohort study conducted in a tertiary-level academic hospital in Israel between March 2020 and May 2022. All adult patients with severe COVID-19 who had a blood or lower respiratory specimen sent for microbiological analyses within 48 h of admission were included. The primary study endpoint was the prevalence of bacterial co-infection at the time of hospital admission. We created a prediction model using the R XGBoost package. The study cohort included 1,050 patients admitted with severe or critical COVID-19. Sixty-two patients (5.9%) had a microbiologically proven bacterial infection on admission. The variables with the greatest impact on the prediction model were age, comorbidities, functional capacity, and laboratory parameters. The model achieved perfect prediction on the training set (area under the curve = 1.0). When applied to the test dataset, the model achieved 56% and 78% specificity with the area under the receiver operating curve of 0.784. The negative and positive predictive values were 0.975 and 0.105, respectively. Applying the prediction model would have resulted in a 2.5-fold increase in appropriate antibiotic use and an 18% reduction in inappropriate use in patients with severe and critical COVID-19. The use of a clinical prediction model can support decisions to withhold empiric antimicrobial treatment at the time of hospital admission without adversely affecting patient outcomes.

IMPORTANCE

Estimates of bacterial coinfection in COVID-19 patients are highly variable and depend on many factors. Patients with severe or critical COVID-19 requiring intensive care unit admission have the highest risk of infection-related complications and death. Thus, the study of the incidence and risk factors for bacterial coinfection in this population is of special interest and may help guide empiric antibiotic therapy and avoid unnecessary antimicrobial treatment. The prediction model based on clinical criteria and simple laboratory tests may be a useful tool to predict bacterial co-infection in patients hospitalized with severe COVID-19.

Increased 30-day all-cause mortality associated with Gram-negative bloodstream infections in England during the COVID-19 pandemic

BACKGROUND

Our aim was to assess the impact of COVID-19 pandemic on mortality in patients hospitalised with Gram-negative bloodstream infections (GNBSIs).

METHODS

A retrospective cohort study including cases of Escherichia coli, Klebsiella species and Pseudomonas aeruginosa in England (January 2015-December 2021) reported to UKHSA's Second Generation Surveillance System. The outcome was 30-day all-cause mortality. Multivariable logistic regression models were built, and adjusted Odds Ratios (ORs) with 95% confidence intervals were reported.

RESULTS

Total E. coli, Klebsiella spp. and P. aeruginosa infections were 206,030, 53,819 and 21,129, respectively. Compared to the pre-pandemic period, odds of death during the pandemic (March 2020 onwards) in E. coli, Klebsiella spp. and P. aeruginosa infections with no COVID-19 infection within 28-days of onset were 1.13 (1.08-1.18), 1.15 (1.07-1.25) and 1.09 (0.97-1.22), while odds in GNBSIs with an associated COVID-19 infection were 2.45 (2.26-2.66), 2.96 (2.62-3.34) and 3.15 (2.61-3.80), respectively. Asian patients with an associated COVID-19 infection were more likely to die during the pandemic compared to White patients (E. coli: OR 1.28 (0.95-1.71); Klebsiella spp. OR 1.59 (1.20-2.11); P. aeruginosa: OR 2.02 (1.23-3.31)).

CONCLUSIONS

Patients suffering from a GNBSI had increased risk of death during the pandemic, with the risk higher in patients with an associated COVID-19 infection.

Bacterial infections and outcomes of inpatients with COVID-19 in the intensive care unit during the delta-dominant phase: the worst wave of pandemic in Iran

Background

Epidemiological data regarding the prevalence of bacterial multidrug-resistant (MDR) Gram-negative infections in patients with COVID-19 in Iran are still ambiguous. Thus, in this study we have investigated the epidemiology, risk factors for death, and clinical outcomes of bacterial infections among patients with COVID-19 in the intensive care unit (ICU).

Method

This retrospective cohort study included patients with COVID-19 hospitalized in the ICU of a university hospital in Iran between June 2021 and December 2021. We evaluated the epidemiological, clinical, and microbiological features, outcomes and risk factors associated with death among all COVID-19 patients. Data and outcomes of these patients with or without bacterial infections were compared. Kaplan-Meier plot was used for survival analyses.

Results

In total, 505 COVID-19 patients were included. The mean age of the patients was 52.7 ± 17.6 years and 289 (57.2%) were female. The prevalence of bacterial infections among hospitalized patients was 14.9%, most of them being hospital-acquired superinfections (13.3%). MDR Klebsiella pneumoniae and Staphylococcus aureus were the most common pathogens causing respiratory infections. Urinary tract infections were most frequently caused by MDR Escherichia coli and K. pneumoniae. The overall in-hospital mortality rate of COVID-19 patients was 46.9% (237/505), while 78.7% (59/75) of patients with bacterial infections died. Infection was significantly associated with death (OR 6.01, 95% CI = 3.03-11.92, p-value <0.0001) and a longer hospital stay (p < 0.0001). Multivariate logistic regression analysis showed that Age (OR = 1.04, 95% CI = 1.03-1.06, p-value <0.0001), Sex male (OR = 1.70, 95% CI = 1.08-2.70, p-value <0.0001), Spo2 (OR = 1.99, 95% CI = 1.18-3.38, p-value = 0.010) and Ferritin (OR = 2.33, 95% CI = 1.37-3.97, p-value = 0.002) were independent risk factors associated with in-hospital mortality. Furthermore, 95.3% (221/232) of patients who were intubated died.

Conclusion

Our findings demonstrate that bacterial infection due to MDR Gram-negative bacteria associated with COVID-19 has an expressive impact on increasing the case mortality rate, reinforcing the importance of the need for surveillance and strict infection control rules to limit the expansion of almost untreatable microorganisms.

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

BACKGROUND

CDI incidence has increased in Wales from summer 2020 and has remained elevated. There is evidence of poorer outcomes from concurrent CDI and COVID-19 infections, but it is not clear if infection with COVID-19 directly impacts likelihood of CDI infection.

AIM

We investigated the relationship between CDI and COVID-19 and the impact of secondary infections.

METHODS

We conducted two analytical studies using routine surveillance data: i) population level ecological case control study comparing CDI cases in the Welsh population by SARS-COV-2 exposure in the previous 90 days, ii) cohort study of COVID-19 cases by secondary infection presence, investigating CDI development within 90 days.

FINDINGS

Case control: 12% (196/1645) of CDI cases had prior COVID-19 and were twice as likely to have had COVID-19 compared to general population controls, when controlling for other infection history (OR 2.1, CI 1.8-2.5, p<0.0001). CDI cases were 8 times more likely to have had other infections, independent of COVID-19 history (OR 8.0, CI 7.0-9.0, p<0.001).

COHORT STUDY

2% (2,255/137,620)) of the COVID-19 cohort developed >1 secondary infection, and <1% (185/137620) developed CDI within 90 days. CDI risk was four times higher in those with secondary infections, after age and sex adjustment (RR 4.6, CI 3.1 - 6.1, p<0.001). CDI risk increased with age and did not differ by sex.

CONCLUSIONS

Findings suggest a relationship between COVID-19 and CDI. However, incidence of CDI following COVID-19 was a rare outcome generally, suggesting other factors are likely contributing to the increased rates of CDI observed since 2020.

Tracking progress on antimicrobial resistance by the quadripartite country self-assessment survey (TrACSS) in G7 countries, 2017-2023: opportunities and gaps

Antimicrobial resistance (AMR) poses serious challenges to the healthcare systems worldwide. Multiple factors and activities contribute to the development and spread of antimicrobial-resistant microorganisms. Monitoring progress in combating AMR is fundamental at both global and national levels to drive multisectoral actions, identify priorities, and coordinate strategies. Since 2017, the World Health Organization (WHO) has collected data through the Tracking AMR Country Self-Assessment Survey (TrACSS). TrACSS data are published in a publicly-available database. In 2023, 71 (59.9%) out of 177 responding countries reported the existence of a monitoring and evaluation plan for their National Action Plan (NAP) on AMR, and just 20 countries (11.3%) the allocation of funding to support NAP implementation. Countries reported challenges including limited financial and human resources, lack of technical capacity, and variable political commitment. Even across the Group of Seven (G7) countries, which represent some of the world's most advanced economies, many areas still need improvement, such as full implementation of infection prevention and control measures, adoption of WHO access/watch/reserve (AWaRe) classification of antibiotics, effective integration of laboratories in AMR surveillance in the animal health and food safety sectors, training and education, good manufacturing and hygiene practices in food processing, optimising pesticides use and environmental residues of antimicrobial drugs. Continuous and coordinated efforts are needed to strengthen multisectoral engagement to fight AMR.

Characterization of genes related to the efflux pump and porin in multidrug-resistant Escherichia coli strains isolated from patients with COVID-19 after secondary infection

BACKGROUND

Escherichia coli (E. coli) is a multidrug resistant opportunistic pathogen that can cause secondary bacterial infections in patients with COVID-19. This study aimed to determine the antimicrobial resistance profile of E. coli as a secondary bacterial infection in patients with COVID-19 and to assess the prevalence and characterization of genes related to efflux pumps and porin.

METHODS

A total of 50 nonduplicate E. coli isolates were collected as secondary bacterial infections in COVID-19 patients. The isolates were cultured from sputum samples. Confirmation and antibiotic susceptibility testing were conducted by Vitek 2. PCR was used to assess the prevalence of the efflux pump and porin-related genes in the isolates. The phenotypic and genotypic evolution of antibiotic resistance genes related to the efflux pump was evaluated.

RESULTS

The E. coli isolates demonstrated high resistance to ampicillin (100%), cefixime (62%), cefepime (62%), amoxicillin-clavulanic acid (60%), cefuroxime (60%), and ceftriaxone (58%). The susceptibility of E. coli to ertapenem was greatest (92%), followed by imipenem (88%), meropenem (86%), tigecycline (80%), and levofloxacin (76%). Regarding efflux pump gene combinations, there was a significant association between the acrA gene and increased resistance to levofloxacin, between the acrB gene and decreased resistance to meropenem and increased resistance to levofloxacin, and between the ompF and ompC genes and increased resistance to gentamicin.

CONCLUSIONS

The antibiotics ertapenem, imipenem, meropenem, tigecycline, and levofloxacin were effective against E. coli in patients with COVID-19. Genes encoding efflux pumps and porins, such as acrA, acrB, and outer membrane porins, were highly distributed among all the isolates. Efflux pump inhibitors could be alternative antibiotics for restoring tetracycline activity in E. coli isolates.

The Rapidly Changing Patterns in Bacterial Co-Infections Reveal Peaks in Limited Gram Negatives during COVID-19 and Their Sharp Drop Post-Vaccination, Implying Potential Evolution of Co-Protection during Vaccine-Virus-Bacterial Interplay

SARS-CoV-2 has caused the most devastating pandemic of all time in recent human history. However, there is a serious paucity of high-quality data on aggravating factors and mechanisms of co-infection. This study aimed to identify the trending patterns of bacterial co-infections and types and associated outcomes in three phases of the pandemic. Using quality hospital data, we have investigated the SARS-CoV-2 fatality rates, profiles, and types of bacterial co-infections before, during, and after COVID-19 vaccination. Out of 389 isolates used in different aspects, 298 were examined before and during the pandemic (n = 149 before, n = 149 during). In this group, death rates were 32% during compared to only 7.4% before the pandemic with significant association (p-value = 0.000000075). However, the death rate was 34% in co-infected (n = 170) compared to non-co-infected patients (n = 128), indicating a highly significant value (p-value = 0.00000000000088). However, analysis of patients without other serious respiratory problems (n = 28) indicated that among the remaining 270 patients, death occurred in 30% of co-infected patients (n = 150) and only 0.8% of non-co-infected (n = 120) with a high significant p-value = 0.00000000076. The trending patterns of co-infections before, during, and after vaccination showed a significant decline in Staphylococcus aureus with concomitant peaks in Gram negatives n = 149 before/n = 149 during, including Klebsiella pneumonian = 11/49 before/during, E. coli n = 10/24, A. baumannii n = 8/25, Ps. aeruginosa n = 5/16, and S. aureus 13/1. Nevertheless, in the post-vaccination phase (n = 91), gender-specific co-infections were examined for potential differences in susceptibility. Methicillin-resistant S. aureus dominated both genders followed by E. coli in males and females, with the latter gender showing higher rates of isolations in both species. Klebsiella pneumoniae declined to third place in male patients. The drastic decline in K. pneumoniae and Gram negatives post-vaccination strongly implied a potential co-protection in vaccines. Future analysis would gain more insights into molecular mimicry.

Increased rates of hospital-onset Staphylococcus aureus bacteraemia in National Health Service acute trusts in England between June 2020 and March 2021: a national surveillance review

A large increase in hospital-onset and intensive-care-unit-onset Staphylococcus aureus bacteraemia rates in English acute trusts was observed between 2020 and 2021, coinciding with reported increases in coronavirus disease (COVID-19) cases and associated hospitalizations. Many of these S. aureus bacteraemia cases were defined as co-/secondary infections to COVID-19. Over the same period, increases in the percentage of ventilator-associated pneumonia-related bacteraemia were also found. The COVID-19 pandemic appears to have contributed to the increase in hospital-onset S. aureus bacteraemia in England; further studies are needed to better understand the impacts on patient outcomes.

Understanding clinical outcomes and factors influencing mortality in intensive care unit patients with COVID-19-associated candidemia

BACKGROUND

During the COVID pandemic, research has shown an increase in candidemia cases following severe COVID infection and the identification of risk factors associated with candidemia. However, there is a lack of studies that specifically explore clinical outcomes and mortality rates related to candidemia after COVID infection.

OBJECTIVES

The aim of this international study was to evaluate the clinical outcomes and identify factors influencing mortality in patients who developed candidemia during their COVID infection.

PATIENTS/METHODS

This study included adult patients (18 years of age or older) admitted to the intensive care unit (ICU) and diagnosed with COVID-associated candidemia (CAC). The research was conducted through ID-IRI network and in collaboration with 34 medical centres across 18 countries retrospectively, spanning from the beginning of the COVID pandemic until December 2021.

RESULTS

A total of 293 patients diagnosed with CAC were included. The median age of the patients was 67, and 63% of them were male. The most common Candida species detected was C. albicans. The crude 30-day mortality rate was recorded at 62.4%. The logistic regression analysis identified several factors significantly impacting mortality, including age (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.02-1.07, p < .0005), SOFA score (OR 1.307, 95% CI 1.17-1.45, p < .0005), invasive mechanical ventilation (OR 7.95, 95% CI 1.44-43.83, p < .017) and duration of mechanical ventilation (OR 0.98, 95% CI 0.96-0.99, p < .020).

CONCLUSIONS

By recognising these prognostic factors, medical professionals can customise their treatment approaches to offer more targeted care, leading to improved patient outcomes and higher survival rates for individuals with COVID-associated candidemia.

Gut microbiota from patients with COVID-19 cause alterations in mice that resemble post-COVID symptoms

Long-term sequelae of coronavirus disease (COVID)-19 are frequent and of major concern. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection affects the host gut microbiota, which is linked to disease severity in patients with COVID-19. Here, we report that the gut microbiota of post-COVID subjects had a remarkable predominance of Enterobacteriaceae strains with an antibiotic-resistant phenotype compared to healthy controls. Additionally, short-chain fatty acid (SCFA) levels were reduced in feces. Fecal transplantation from post-COVID subjects to germ-free mice led to lung inflammation and worse outcomes during pulmonary infection by multidrug-resistant Klebsiella pneumoniae. transplanted mice also exhibited poor cognitive performance. Overall, we show prolonged impacts of SARS-CoV-2 infection on the gut microbiota that persist after subjects have cleared the virus. Together, these data demonstrate that the gut microbiota can directly contribute to post-COVID sequelae, suggesting that it may be a potential therapeutic target.

Hospital-acquired bacterial infections in coronavirus disease 2019 (COVID-19) patients in Israel

BACKGROUND

We sought to determine incidence of common hospital-acquired bacteria among coronavirus disease 2019 (COVID-19) patients in Israeli general hospitals during the first year of the pandemic.

METHODS

We analyzed routinely collected incidence data to determine hospital acquisition of the following sentinel bacteria: Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Enterococcus faecalis, Enterococcus faecium, Pseudomonas aeruginosa, Acinetobacter baumannii, and Clostridioides difficile. We examined 3 acquisition measures: (1) sentinel bacteria, (2) sentinel bacteremia, and (3) antimicrobial-resistant sentinel bacteremia. The study period was March 1, 2020, through January 31, 2021.

RESULTS

Analysis of pooled data from the 26 hospitals surveyed revealed that rates were higher for all 3 acquisition measures among COVID-19 patients than they were among patients on general medical wards in 2019, but lower than those among patients in intensive care units in 2019. The incidence rate was highest during the first COVID-19 wave, despite a lower proportion of severe COVID-19 cases among total hospitalized during this wave. Wide variation in incidence was evident between hospitals.

CONCLUSIONS

Hospitalized COVID-19 patients experienced nosocomial bacterial infection at rates higher than those of patients on pre-pandemic general medical wards, adding to the complexity of their care. Lower rates of nosocomial infection after the first wave, despite higher proportions of severely ill patients, suggest that healthcare worker practices, rather than patient-related factors, were responsible for most of these infections.

Prevalence of secondary infections and association with mortality rates of hospitalized COVID-19 patients

BACKGROUND

ICU and other patients hospitalized with corona-virus disease 2019 (COVID-19) are more susceptible to secondary infections. Undetected secondary infections tend to have a severe clinical impact, associated with prolonged hospitalization and higher rates of inpatient mortality.

OBJECTIVES

Estimate the prevalence of secondary infections, determine the frequency of microbial species detected at different body sites, and measure the association between secondary infections and outcomes among hospitalized COVID-19 patients.

DESIGN

Cross-sectional analytical study.

SETTING

Tertiary care center in Riyadh PATIENTS AND METHODS: Data were collected through retrospective chart review of hospitalized COVID-19 patients >18 years old from March 2020 until May 2022 at King Saud University Medical City (27 months). Rates of secondary infections among hospitalized COVID-19 patients were described and data on clinical outcomes (intensive care admission, invasive management procedures and mortality) was collected.

MAIN OUTCOME MEASURES

Features and rates of infection and mortality.

SAMPLE SIZE

260 RESULTS: In total, 24.2% of the study population had secondary infections. However, only 68.8% of patients had secondary infection testing, from which 35.2% had a confirmed secondary infection. These patients had a significantly higher prevalence of diabetes mellitus (P<.0001) and cardiovascular diseases (P=.001). The odds of ICU admissions (63.3%) among secondarily infected patients was 8.4 times higher compared to patients with only COVID-19 infection (17.3%). Secondarily infected patients were more likely to receive invasive procedures (OR=5.068) and had a longer duration of hospital stay compared to COVID-19 only patients. Overall mortality was 16.2%, with a predominantly higher proportion among those secondarily infected (47.6% vs 6.1%) (OR=14.015). Bacteria were the most commonly isolated organisms, primarily from blood (23.3%), followed by fungal isolates, which were mostly detected in urine (17.2%). The most detected organism was Candida albicans (17.2%), followed by Escherichia coli (9.2%), Klebsiella pneumoniae (9.2%) and Pseudomonas aeruginosa (9.2%).

CONCLUSION

Secondary infections were prevalent among hospitalized COVID-19 patients. Secondarily infected patients had longer hospital stay, higher odds of ICU admission, mortality, and invasive procedures.

LIMITATION

Single-center study, retrospective design and small sample size.

CONFLICT OF INTEREST

None.

Fungal-Bacterial Co-Infections and Super-Infections among Hospitalized COVID-19 Patients: A Systematic Review

This study systematically reviewed fungal-bacterial co-infections and super-infections among hospitalized COVID-19 patients. A PRISMA systematic search was conducted. On September 2022, Medline, PubMed, Google Scholar, PsychINFO, Wiley Online Library, NATURE, and CINAHL databases were searched for all relevant articles published in English. All articles that exclusively reported the presence of fungal-bacterial co-infections and super-infections among hospitalized COVID-19 patients were included. Seven databases produced 6937 articles as a result of the literature search. Twenty-four articles met the inclusion criteria and were included in the final analysis. The total number of samples across the studies was 10,834, with a total of 1243 (11.5%) patients admitted to the intensive care unit (ICU). Of these patients, 535 underwent mechanical ventilation (4.9%), 2386 (22.0%) were male, and 597 (5.5%) died. Furthermore, hospitalized COVID-19 patients have a somewhat high rate (23.5%) of fungal-bacterial co-infections and super-infections. Moreover, for SARS-CoV-2 patients who have a chest X-ray that suggests a bacterial infection, who require immediate ICU admission, or who have a seriously immunocompromised condition, empiric antibiotic therapy should be taken into consideration. Additionally, the prevalence of co-infections and super-infections among hospitalized COVID-19 patients may have an impact on diagnosis and treatment. It is crucial to check for fungal and bacterial co-infections and super-infections in COVID-19 patients.

Recommendations and guidelines for the diagnosis and management of Coronavirus Disease-19 (COVID-19) associated bacterial and fungal infections in Taiwan

Coronavirus disease-19 (COVID-19) is an emerging infectious disease caused by SARS-CoV-2 that has rapidly evolved into a pandemic to cause over 600 million infections and more than 6.6 million deaths up to Nov 25, 2022. COVID-19 carries a high mortality rate in severe cases. Co-infections and secondary infections with other micro-organisms, such as bacterial and fungus, further increases the mortality and complicates the diagnosis and management of COVID-19. The current guideline provides guidance to physicians for the management and treatment of patients with COVID-19 associated bacterial and fungal infections, including COVID-19 associated bacterial infections (CABI), pulmonary aspergillosis (CAPA), candidiasis (CAC) and mucormycosis (CAM). Recommendations were drafted by the 7th Guidelines Recommendations for Evidence-based Antimicrobial agents use Taiwan (GREAT) working group after review of the current evidence, using the grading of recommendations assessment, development, and evaluation (GRADE) methodology. A nationwide expert panel reviewed the recommendations in March 2022, and the guideline was endorsed by the Infectious Diseases Society of Taiwan (IDST). This guideline includes the epidemiology, diagnostic methods and treatment recommendations for COVID-19 associated infections. The aim of this guideline is to provide guidance to physicians who are involved in the medical care for patients with COVID-19 during the ongoing COVID-19 pandemic.

A case report of fatal COVID-19 complicated by rapidly progressive sepsis caused by Klebsiella variicola

BACKGROUND

There is a growing interest in Klebsiella variicola as a causative pathogen in humans, though its clinical features and the impact of co-infection or secondary infection with COVID-19 remain unknown.

CASE PRESENTATION

A 71-year-old man presented with fever, altered mental status and generalized weakness and was admitted to ICU due to severe COVID-19 pneumonia. He was newly diagnosed with type II diabetes mellitus upon admission. On hospital day 3, his respiratory status deteriorated, requiring invasive mechanical ventilation. On hospital day 10, superimposed bacterial pneumonia was suspected and subsequently, broad-spectrum antibiotics were administered for the associated bloodstream infection. On hospital day 13, despite administration of active antibiotics and appropriate source control, he decompensated and died. The causative organism isolated from blood cultures was initially reported as K. pneumoniae, but it was identified as K. variicola by a genetic analysis. A representative isolate (FUJ01370) had a novel multilocus sequence typing allelic profile (gapA-infB-mdh-pgi-phoE-rpoB-tonB: 16-24-21-27-52-17-152), to which sequence type 5794 was assigned (GenBank assembly accession: GCA_019042755.1).

CONCLUSIONS

We report a fatal case of respiratory and bloodstream infection due to K. variicola complicating severe COVID-19. Co-infection or secondary infection of K. variicola in COVID-19 is likely under-recognized and can be fulminant as in this case.

Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis

BACKGROUND

Frequent use of antibiotics in patients with COVID-19 threatens to exacerbate antimicrobial resistance. We aimed to establish the prevalence and predictors of bacterial infections and antimicrobial resistance in patients with COVID-19.

METHODS

We did a systematic review and meta-analysis of studies of bacterial co-infections (identified within ≤48 h of presentation) and secondary infections (>48 h after presentation) in outpatients or hospitalised patients with COVID-19. We searched the WHO COVID-19 Research Database to identify cohort studies, case series, case-control trials, and randomised controlled trials with populations of at least 50 patients published in any language between Jan 1, 2019, and Dec 1, 2021. Reviews, editorials, letters, pre-prints, and conference proceedings were excluded, as were studies in which bacterial infection was not microbiologically confirmed (or confirmed via nasopharyngeal swab only). We screened titles and abstracts of papers identified by our search, and then assessed the full text of potentially relevant articles. We reported the pooled prevalence of bacterial infections and antimicrobial resistance by doing a random-effects meta-analysis and meta-regression. Our primary outcomes were the prevalence of bacterial co-infection and secondary infection, and the prevalence of antibiotic-resistant pathogens among patients with laboratory-confirmed COVID-19 and bacterial infections. The study protocol was registered with PROSPERO (CRD42021297344).

FINDINGS

We included 148 studies of 362  976 patients, which were done between December, 2019, and May, 2021. The prevalence of bacterial co-infection was 5·3% (95% CI 3·8-7·4), whereas the prevalence of secondary bacterial infection was 18·4% (14·0-23·7). 42 (28%) studies included comprehensive data for the prevalence of antimicrobial resistance among bacterial infections. Among people with bacterial infections, the proportion of infections that were resistant to antimicrobials was 60·8% (95% CI 38·6-79·3), and the proportion of isolates that were resistant was 37·5% (26·9-49·5). Heterogeneity in the reported prevalence of antimicrobial resistance in organisms was substantial (I2=95%).

INTERPRETATION

Although infrequently assessed, antimicrobial resistance is highly prevalent in patients with COVID-19 and bacterial infections. Future research and surveillance assessing the effect of COVID-19 on antimicrobial resistance at the patient and population level are urgently needed.

FUNDING

WHO.

Cuprous oxide-demethyleneberberine nanospheres for single near-infrared light-triggered photoresponsive-enhanced enzymatic synergistic antibacterial therapy

In this work, novel cuprous oxide-demethyleneberberine (Cu₂O-DMB) nanomaterials are successfully synthesized for photoresponsive-enhanced enzymatic synergistic antibacterial therapy under near-infrared (NIR) irradiation (808 nm). Cu₂O-DMB has a spherical morphology with a smaller nanosize and positive ζ potential, can trap bacteria through electrostatic interactions resulting in a targeting function. Cu₂O-DMB nanospheres show both oxidase-like and peroxidase-like activities, and serve as a self-cascade platform, which can deplete high concentrations of GSH to produce O₂˙^- and H₂O₂, then H₂O₂ is transformed into ˙OH, without introducing exogenous H₂O₂. At the same time, Cu₂O-DMB nanospheres become photoresponsive, producing ¹O₂ and having an efficient photothermal conversion effect upon NIR irradiation. The proposed mechanism is that the generated ROS (O₂˙^-, ˙OH and ¹O₂) and hyperthermia can have synergetic effects for killing bacteria. Moreover, hyperthermia is not only beneficial for destroying bacteria, but also effectively enhances the efficiency of ˙OH production and accelerates GSH oxidation. Upon NIR irradiation, Cu₂O-DMB nanospheres exhibit excellent antibacterial ability against methicillin-resistant Staphylococcus aureus (MRSA) and ampicillin-resistant Escherichia coli (AREC) with low cytotoxicity and bare bacterial resistance, destroy the bacterial membrane causing an efflux of proteins and disrupt the bacterial biofilm formation. Animal experiments show that the Cu₂O-DMB + NIR group can efficiently treat MRSA infection and promote wound healing. These results suggest that Cu₂O-DMB nanospheres are effective materials for combating bacterial infections highly efficiently and to aid the development of photoresponsive enzymatic synergistic antibacterial therapy.

Coronavirus disease 2019 (COVID-19) associated bacterial coinfection: Incidence, diagnosis and treatment

Coronavirus disease 2019 (COVID-19) emerged as a pandemic that spread rapidly around the world, causing nearly 500 billion infections and more than 6 million deaths to date. During the first wave of the pandemic, empirical antibiotics was prescribed in over 70% of hospitalized COVID-19 patients. However, research now shows a low incidence rate of bacterial coinfection in hospitalized COVID-19 patients, between 2.5% and 5.1%. The rate of secondary infections was 3.7% in overall, but can be as high as 41.9% in the intensive care units. Over-prescription of antibiotics to treat COVID-19 patients fueled the ongoing antimicrobial resistance globally. Diagnosis of bacterial coinfection is challenging due to indistinguishable clinical presentations with overlapping lower respiratory tract symptoms such as fever, cough and dyspnea. Other diagnostic methods include conventional culture, diagnostic syndromic testing, serology test and biomarkers. COVID-19 patients with bacterial coinfection or secondary infection have a higher in-hospital mortality and longer length of stay, timely and appropriate antibiotic use aided by accurate diagnosis is crucial to improve patient outcome and prevent antimicrobial resistance.

SARS-CoV-2 with Panton-Valentine leukocidin-producing Staphylococcus aureus healthcare-associated pneumonia in the Indian Ocean

At this time, the literature reports only one case of superinfection with Panton-Valentine leukocidin (PVL)-producing Staphylococcus aureus in a patient with severe acute respiratory distress syndrome secondary to coronavirus 2 (SARS-CoV-2) pneumonia. Here we report the first two cases of PVL-producing S. aureus healthcare-associated pneumonia in patients hospitalized for SARS-CoV-2 pneumonia in the Indian Ocean region. The two isolated strains of S. aureus were found to belong to the ST152/t355 clone, a known PVL-producing S. aureus clone that circulates in Africa and is responsible for infections imported into Europe. Our two cases reinforce the hypothesis that SARS-CoV-2 infection favors the occurrence of PVL-producing S. aureus pneumonia. Production of PVL should be searched in patients returning from the Indian Ocean region who present with severe SARS-CoV-2 pneumonia complicated by superinfection with S. aureus even in the case of late onset healthcare-associated pneumonia

Pneumocystis jirovecii Pneumonia Associated with COVID-19 in Patients with Interstitial Pneumonia

Here, we report two cases of patients with interstitial pneumonia (IP) on steroids who developed Pneumocystis jirovecii pneumonia (PJP) following coronavirus disease 2019 (COVID-19) infection. Case 1: A 69-year-old man on 10 mg of prednisolone (PSL) daily for IP developed new pneumonia shortly after his COVID-19 infection improved and was diagnosed with PJP based on chest computed tomography (CT) findings and elevated serum β-D-glucan levels. Trimethoprim–sulfamethoxazole (TMP–SMZ) was administered, and the pneumonia resolved. Case 2: A 70-year-old woman taking 4 mg/day of PSL for IP and rheumatoid arthritis developed COVID-19 pneumonia, which resolved mildly, but her pneumonia flared up and was diagnosed as PJP based on CT findings, elevated β-D-glucan levels, and positive polymerase chain reaction for P. jirovecii DNA in the sputum. The autopsy revealed diffuse alveolar damage, increased collagen fiver and fibrotic foci, mucinous component accumulation, and the presence of a P. jirovecii cyst. In conclusion, steroids and immunosuppressive medications are well-known risk factors for PJP. Patients with IP who have been taking these drugs for a long time are frequently treated with additional steroids for COVID-19; thus, PJP complications should be avoided in such cases.

Human Identical Sequences, hyaluronan, and hymecromone ─ the new mechanism and management of COVID-19

COVID-19 caused by SARS-CoV-2 has created formidable damage to public health and market economy. Currently, SARS-CoV-2 variants has exacerbated the transmission from person-to-person. Even after a great deal of investigation on COVID-19, SARS-CoV-2 is still rampaging globally, emphasizing the urgent need to reformulate effective prevention and treatment strategies. Here, we review the latest research progress of COVID-19 and provide distinct perspectives on the mechanism and management of COVID-19. Specially, we highlight the significance of Human Identical Sequences (HIS), hyaluronan, and hymecromone ("Three-H") for the understanding and intervention of COVID-19. Firstly, HIS activate inflammation-related genes to influence COVID-19 progress through NamiRNA-Enhancer network. Accumulation of hyaluronan induced by HIS-mediated HAS2 upregulation is a substantial basis for clinical manifestations of COVID-19, especially in lymphocytopenia and pulmonary ground-glass opacity. Secondly, detection of plasma hyaluronan can be effective for evaluating the progression and severity of COVID-19. Thirdly, spike glycoprotein of SARS-CoV-2 may bind to hyaluronan and further serve as an allergen to stimulate allergic reaction, causing sudden adverse effects after vaccination or the aggravation of COVID-19. Finally, antisense oligonucleotides of HIS or inhibitors of hyaluronan synthesis (hymecromone) or antiallergic agents could be promising therapeutic agents for COVID-19. Collectively, Three-H could hold the key to understand the pathogenic mechanism and create effective therapeutic strategies for COVID-19.

Methicillin-resistant Staphylococcus aureus lung infection in coronavirus disease 2019: how common?

PURPOSE OF REVIEW

Some patients with coronavirus disease 2019 (COVID-19) may develop pulmonary bacterial coinfection or superinfection, that could unfavorably impact their prognosis.

RECENT FINDINGS

The exact burden of methicillin-resistant Staphylococcus aureus (MRSA) lung infection in peculiar populations such as patients with COVID-19 remains somewhat elusive, possibly because of wide heterogeneity in methods and endpoints across studies.

SUMMARY

There was important heterogeneity in the retrieved literature on the epidemiology of MRSA lung infection in patients with COVID-19, both when considering all other bacteria as the denominator (relative prevalence ranging from 2% to 29%) and when considering only S. aureus as the denominator (relative prevalence ranging from 11% to 65%). Overall, MRSA is among the most frequent causative agents of pulmonary infection in patients with COVID-19. Improving our ability to rapidly reach etiological diagnosis of bacterial lung infection in COVID-19 patients remains fundamental if we are to improve the rates of appropriate antibiotic therapy in patients with COVID-19 and concomitant/superimposed MRSA infection, at the same time avoiding antibiotic overuse in line with antimicrobial stewardship principles.

Impact of introducing procalcitonin testing on antibiotic usage in acute NHS hospitals during the first wave of COVID-19 in the UK: a controlled interrupted time series analysis of organization-level data

BACKGROUND

Blood biomarkers have the potential to help identify COVID-19 patients with bacterial coinfection in whom antibiotics are indicated. During the COVID-19 pandemic, procalcitonin testing was widely introduced at hospitals in the UK to guide antibiotic prescribing. We have determined the impact of this on hospital-level antibiotic consumption.

METHODS

We conducted a retrospective, controlled interrupted time series analysis of organization-level data describing antibiotic dispensing, hospital activity and procalcitonin testing for acute hospitals/hospital trusts in England and Wales during the first wave of COVID-19 (24 February to 5 July 2020).

RESULTS

In the main analysis of 105 hospitals in England, introduction of procalcitonin testing in emergency departments/acute medical admission units was associated with a statistically significant decrease in total antibiotic use of -1.08 (95% CI: -1.81 to -0.36) DDDs of antibiotic per admission per week per trust. This effect was then lost at a rate of 0.05 (95% CI: 0.02-0.08) DDDs per admission per week. Similar results were found specifically for first-line antibiotics for community-acquired pneumonia and for COVID-19 admissions rather than all admissions. Introduction of procalcitonin in the ICU setting was not associated with any significant change in antibiotic use.

CONCLUSIONS

At hospitals where procalcitonin testing was introduced in emergency departments/acute medical units this was associated with an initial, but unsustained, reduction in antibiotic use. Further research should establish the patient-level impact of procalcitonin testing in this population and understand its potential for clinical effectiveness.

Comparison of Antibiotic Use between the First Two Waves of COVID-19 in an Intensive Care Unit at a London Tertiary Centre: reducing broad-spectrum antimicrobial use did not adversely affect mortality

BACKGROUND

The COVID-19 pandemic increased the use of broad-spectrum antibiotics due to diagnostic uncertainty, particularly in critical care. Multiprofessional communication became more difficult, weakening stewardship activities.

AIM

To determine changes in bacterial co-/secondary infections and antibiotics used in COVID-19 patients in critical care, and mortality rates, between the first and second waves.

METHODS

Prospective audit comparing bacterial co-/secondary infections and their treatment during the first two waves of the pandemic in a single centre teaching hospital ICU. Data on demographics, daily antibiotic use, clinical outcomes, and culture results in patients diagnosed with COVID-19 infection were collected over 11 months.

FINDINGS

From 9/3/20 to 2/9/20 (Wave 1), there were 156 patients and between 3/9/20 and 1/2/21 (Wave 2) there were 235 patients with COVID-19 infection admitted to intensive care. No significant difference was seen in mortality or positive blood culture rates between the two waves. The proportion of patients receiving antimicrobial therapy (93.0% vs 81.7%; p<0.01), and the duration of meropenem use (median (interquartile range): 5 (2-7) vs 3 (2-5) days; p=0.01) was lower in Wave 2. However, the number of patients with respiratory isolates of Pseudomonas aeruginosa (4/156 vs 21/235; p<0.01) and bacteraemia from a respiratory source (3/156 vs 20/235 p<0.01) increased in Wave 2, associated with an outbreak of infection. There was no significant difference between waves with respect to isolation of other pathogens.

CONCLUSIONS

Reduced broad spectrum antimicrobial use in the second wave of COVID-19 compared with the first wave was not associated with significant change in mortality.

SARS-CoV-2-Legionella Co-Infections: A Systematic Review and Meta-Analysis (2020-2021)

Legionnaires' Disease (LD) is a severe, sometimes fatal interstitial pneumonia due to Legionella pneumophila. Since the inception of the SARS-CoV-2 pandemic, some contradictory reports about the effects of lockdown measures on its epidemiology have been published, but no summary evidence has been collected to date. Therefore, we searched two different databases (PubMed and EMBASE) focusing on studies that reported the occurrence of LD among SARS-CoV-2 cases. Data were extracted using a standardized assessment form, and the results of such analyses were systematically reported, summarized, and compared. We identified a total of 38 articles, including 27 observational studies (either prospective or retrospective ones), 10 case reports, and 1 case series. Overall, data on 10,936 SARS-CoV-2 cases were included in the analyses. Of them, 5035 (46.0%) were tested for Legionella either through urinary antigen test or PCR, with 18 positive cases (0.4%). A pooled prevalence of 0.288% (95% Confidence Interval (95% CI) 0.129-0.641), was eventually calculated. Moreover, detailed data on 19 co-infections LD + SARS-CoV-2 were obtained (males: 84.2%; mean age: 61.9 years, range 35 to 83; 78.9% with 1 or more underlying comorbidities), including 16 (84.2%) admissions to the ICU, with a Case Fatality Ratio of 26.3%. In summary, our analyses suggest that the occurrence of SARS-CoV-2-Legionella infections may represent a relatively rare but not irrelevant event, and incident cases are characterized by a dismal prognosis.

Respiratory antibacterial prescribing in primary care and the COVID-19 pandemic in England, winter season 2020-21

BACKGROUND

Antibacterial prescribing for respiratory tract infections (RTIs) accounts for almost half of all prescribing in primary care. Nearly a quarter of antibacterial prescribing in primary care is estimated to be inappropriate, the greatest being for RTIs. The COVID-19 pandemic has changed the provision of healthcare services and impacted the levels of antibacterials prescribed.

OBJECTIVES

To describe the changes in community antibacterial prescribing for RTIs in winter 2020-21 in England.

METHODS

RTI antibacterial prescribing was measured in prescription items/1000 population for primary care from January 2014 and in DDDs/1000 population/day for the totality of RTI prescribing [combined with Accident & Emergency (A&E) in secondary care], from January 2016 to February 2021. Trends were assessed using negative binomial regression and seasonally adjusted interrupted time-series analysis.

RESULTS

Antibacterials prescribed for RTIs reduced by a further 12.4% per season compared with pre-COVID (P < 0.001). In winter 2020-21, RTI prescriptions almost halved compared with the previous winter in 2019-20 (P < 0.001). The trend observed for total RTI prescribing (primary care with A&E) was similar to that observed in the community alone.

CONCLUSIONS

During COVID-19, RTI prescribing reduced in the community and the expected rise in winter was not seen in 2020-21. We found no evidence that RTI prescribing shifted from primary care to A&E in secondary care. The most likely explanation is a decrease in RTIs and presentations to primary care associated with national prevention measures for COVID-19.

Snapshot of COVID-19 superinfections in Marseille hospitals: where are the common pathogens?

Episodes of bacterial superinfections have been well identified for several respiratory viruses, notably influenza. In this retrospective study, we compared the frequency of superinfections in COVID-19 patients to those found in influenza-positive patients, and to controls without viral infection. We included 42 468 patients who had been diagnosed with COVID-19 and 266 261 subjects who had tested COVID-19 negative between 26 February 2020 and 1 May 2021. In addition, 4059 patients were included who had tested positive for the influenza virus between 1 January 2017 and 31 December 2019. Bacterial infections in COVID-19 patients were more frequently healthcare-associated, and acquired in ICUs, were associated with longer ICU stays, and occurred in older and male patients when compared to controls and to influenza patients (P < 0.0001 for all). The most common pathogens proved to be less frequent in COVID-19 patients, including fewer cases of bacteraemia involving E. coli (P < 0.0001) and Klebsiella pneumoniae (P = 0.027) when compared to controls. In respiratory specimens Haemophilus influenzae (P < 0.0001) was more frequent in controls, while Streptococcus pneumoniae (P < 0.0001) was more frequent in influenza patients. Likewise, species associated with nosocomial transmission, such as Pseudomonas aeruginosa and Staphylococcus epidermidis, were more frequent among COVID-19 patients. Finally, we observed a high frequency of Enterococcus faecalis bacteraemia among COVID-19 patients, which were mainly ICU-acquired and associated with a longer timescale to acquisition.

Changing Patterns of Bloodstream Infections in the Community and Acute Care Across 2 Coronavirus Disease 2019 Epidemic Waves: A Retrospective Analysis Using Data Linkage

BACKGROUND

We examined community- and hospital-acquired bloodstream infections (BSIs) in coronavirus disease 2019 (COVID-19) and non-COVID-19 patients across 2 epidemic waves.

METHODS

We analyzed blood cultures of patients presenting to a London hospital group between January 2020 and February 2021. We reported BSI incidence, changes in sampling, case mix, healthcare capacity, and COVID-19 variants.

RESULTS

We identified 1047 BSIs from 34 044 blood cultures, including 653 (62.4%) community-acquired and 394 (37.6%) hospital-acquired. Important pattern changes were seen. Community-acquired Escherichia coli BSIs remained below prepandemic level during COVID-19 waves, but peaked following lockdown easing in May 2020, deviating from the historical trend of peaking in August. The hospital-acquired BSI rate was 100.4 per 100 000 patient-days across the pandemic, increasing to 132.3 during the first wave and 190.9 during the second, with significant increase in elective inpatients. Patients with a hospital-acquired BSI, including those without COVID-19, experienced 20.2 excess days of hospital stay and 26.7% higher mortality, higher than reported in prepandemic literature. In intensive care, the BSI rate was 421.0 per 100 000 intensive care unit patient-days during the second wave, compared to 101.3 pre-COVID-19. The BSI incidence in those infected with the severe acute respiratory syndrome coronavirus 2 Alpha variant was similar to that seen with earlier variants.

CONCLUSIONS

The pandemic have impacted the patterns of community- and hospital-acquired BSIs, in COVID-19 and non-COVID-19 patients. Factors driving the patterns are complex. Infection surveillance needs to consider key aspects of pandemic response and changes in healthcare practice.

Surveillance of Antibacterial Usage during the COVID-19 Pandemic in England, 2020

Changes in antibacterial prescribing during the COVID-19 pandemic were anticipated given that the clinical features of severe respiratory infection syndrome caused by SARS-CoV-2 mirror bacterial respiratory tract infections. Antibacterial consumption was measured in items/1000 population for primary care and in Defined Daily Doses (DDDs)/1000 admissions for secondary care in England from 2015 to October 2020. Interrupted time-series analyses were conducted to evaluate the effects of the pandemic on antibacterial consumption. In the community, the rate of antibacterial items prescribed decreased further in 2020 (by an extra 1.4% per month, 95% CI: -2.3 to -0.5) compared to before COVID-19. In hospitals, the volume of antibacterial use decreased during COVID-19 overall (-12.1% compared to pre-COVID, 95% CI: -19.1 to -4.4), although the rate of usage in hospitals increased steeply in April 2020. Use of antibacterials prescribed for respiratory infections and broad-spectrum antibacterials (predominately 'Watch' antibacterials in hospitals) increased in both settings. Overall volumes of antibacterial use at the beginning of the COVID-19 pandemic decreased in both primary and secondary settings, although there were increases in the rate of usage in hospitals in April 2020 and in specific antibacterials. This highlights the importance of antimicrobial stewardship during pandemics to ensure appropriate prescribing and avoid negative consequences on patient outcomes and antimicrobial resistance.

Risk Factors for Fungal Co-Infections in Critically Ill COVID-19 Patients, with a Focus on Immunosuppressants

Severe cases of coronavirus disease 2019 (COVID-19) managed in the intensive care unit are prone to complications, including secondary infections with opportunistic fungal pathogens. Systemic fungal co-infections in hospitalized COVID-19 patients may exacerbate COVID-19 disease severity, hamper treatment effectiveness and increase mortality. Here, we reiterate the role of fungal co-infections in exacerbating COVID-19 disease severity as well as highlight emerging trends related to fungal disease burden in COVID-19 patients. Furthermore, we provide perspectives on the risk factors for fungal co-infections in hospitalized COVID-19 patients and highlight the potential role of prolonged immunomodulatory treatments in driving fungal co-infections, including COVID-19-associated pulmonary aspergillosis (CAPA), COVID-19-associated candidiasis (CAC) and mucormycosis. We reiterate the need for early diagnosis of suspected COVID-19-associated systemic mycoses in the hospital setting.