Trends in Antibiotic Use in United States Hospitals During the Coronavirus Disease 2019 Pandemic

The influence mechanism of environmental factors on DGT adsorbing sulfonamides and the migration between water and sediment

Obtaining the sulfonamides (SAs) concentrations in the water body and sediment bulk was a prerequisite to reveal their transport and partitioning behavior in sediment-water environments and accurately assess their ecological risk. In the present study, the influences of multifactor interactions on the performance of o-DGTs with XAD-18 binding gels were analyzed by central combination experiments and response surfaces analysis, in which the target compounds were 9 SAs. The results indicated that dissolved organic matter (DOM), pH, and suspended particulate matter (SS) had significant effects on the o-DGT sampling, whereas this o-DGT was independent of the ionic strength (IS). Concentning the composite influence of the four factors, the interaction between DOM and SS posed the most significant effect on all 9 SAs compounds. Subsequently, an o-DGT and DIFS model was applied to explore the SAs migration between the water-sediments interface. The difference between desorption rate (kb) and adsorption rates (kf) values suggested that the kinetics of SAs was dominated by adsorption. Moreover, the short-term sediment-water partitioning of SAs was clarified on the basis of distribution coefficient (Kdl) for the labile SAs, among which the sulfadiazine (SDZ) had the largest labile pool. The ability of sediments to release SAs to the liquid phase as a sink was determined by response time (Tc). Among the 9 SAs, the long-term release of soseulfamethoxypyridazine (SMP) from the solid phase of sediments would have a potential risk to the aquatic environment, to which more attention should be paid in the future.

A quasi-experimental analysis comparing antimicrobial usage on COVID-19 and non-COVID-19 wards

Objective

To describe antimicrobial usage (AMU) trends before and during the coronavirus disease 2019 (COVID-19) pandemic, between COVID-19 and non-COVID-19 wards, and if there was any association with a COVID-19 order set.

Design

Quasi-experimental retrospective interrupted time series analysis of AMU rates with a contemporaneous comparison of COVID-19 versus non-COVID-19 control wards. Analysis using incidence rate ratios (IRR) was conducted using a Poisson regression generalized linear model.

Setting

Five COVID-19 and 4 comparable non-COVID-19 wards and 6 intensive care units (ICUs) at 4 hospitals during pandemic waves 1-4.

Participants

All inpatients receiving systemic antimicrobials.

Intervention

The COVID-19 checkbox antimicrobial order set was implemented in March 2020, to be used only if considered clinically indicated with modification in August 2021.

Main Outcomes and Measures

The primary outcome was a change in AMU rates (defined daily dose per 100 patient days per month) comparing pre- versus peri-pandemic periods and COVID-19 versus control non-COVID-19 wards. Secondary outcomes included antifungal usage rate in ICUs and assessing AMUs following implementation and modification of a COVID-19 order set.

Results

Significantly greater rates of AMU (IRR[95%CI]) were observed on COVID-19 wards versus non-COVID-19 wards during waves 1-4 for all systemic antimicrobials (1.76[1.71-1.81], 1.10[1.07-1.13], 1.48[1.43-1.53], and 1.06[1.03-1.09]); for azithromycin (11.76[9.80-14.23], 10.96[9.49-12.74], 12.41[10.73-14.45], and 4.88[4.31-5.55]); and for ceftriaxone (2.39[2.16-2.65], 3.64[3.29-4.03], 2.94[2.67-3.23], and 1.62[1.49-1.76]).

Conclusions

We observed significantly increased AMU rates of all systemic agents during the first 4 waves of the pandemic and on COVID-19 wards compared with control wards for azithromycin and ceftriaxone. These agents saw a twofold reduction following order-set removal, suggesting that the clinical decision-support tool order set, as utilized, had influenced prescribing behavior.

Global trends in carbapenem- and difficult-to-treat-resistance among World Health Organization priority bacterial pathogens: ATLAS surveillance program 2018-2022

OBJECTIVES

To report trends in carbapenem resistance and difficult-to-treat resistance (DTR) among clinical isolates of Gram-negative priority pathogens collected by the ATLAS global surveillance program from 2018 to 2022.

METHODS

Reference broth microdilution testing was performed in a central laboratory for 79,214 Enterobacterales, 30,504 Pseudomonas aeruginosa, and 13,500 Acinetobacter baumannii-calcoaceticus complex isolates collected by a constant set of 157 medical centres in 49 countries in Asia Pacific (APAC), Europe (EUR), Latin America (LATAM), Middle East-Africa (MEA), and North America (NA) regions. MICs were interpreted by 2023 CLSI M100 breakpoints. β-lactamase genes were identified for meropenem-nonsusceptible (MIC ≥2 mg/L) Enterobacterales isolates.

RESULTS

Carbapenem-resistant Enterobacterales (CRE) detection increased (P < 0.05) in APAC, EUR, LATAM, and MEA regions and decreased in NA, while annual DTR percentages increased in all five regions. Carbapenem-resistant P. aeruginosa (CRPA; decreased in MEA region) and carbapenem-resistant A. baumannii-calcoaceticus complex (CRAB; decreased in MEA region and increased in EUR) remained relatively stable over time in all regions, although notably, annual percentages of CRAB and DTR A. baumannii-calcoaceticus complex isolates were consistently >25 percentage points lower in NA than in other regions. For all regions except NA, the majority of changes in CRE percentages could be attributed to hospital-acquired infections. Among meropenem-nonsusceptible Enterobacterales, KPC was the most frequent carbapenemase in NA and EUR each year. NDM was the most prevalent carbapenemase detected in 2022 in other global regions.

CONCLUSION

CRE, CRPA, CRAB, and DTR rates vary among global regions over time highlighting the need for continuing surveillance to inform treatment strategies and antimicrobial stewardship.

Evaluating Antibiotic Treatment Guideline Adherence to Ongoing Antibiotic Stewardship in a Tertiary Care Setting: A Retrospective Observational Study

Antimicrobial resistance (AMR) is widely regarded as an increasing threat to global public health. Antibiotic treatment guidelines have been increasingly recognized as an effective tool to guide appropriate prescriptions and help curtail antibiotic resistance. The present study aimed to assess physician's adherence to hospital antibiotic treatment guideline recommendations in Nepal and determine predictive variables with a significant association. This was a retrospective, monocentric observational review to investigate the adherence to endorsed guidelines using the medical records of adults admitted to the hospital with a diagnosis of urinary tract infection (UTI), pneumonia, or skin and soft tissue infection (SSTI) from January 2018 to December 2019. Of the 2,077 medical records that were reviewed (954 UTI, 754 pneumonia, and 369 SSTI), 354 (17%) met the study inclusion criteria, which included 87 UTI, 180 pneumonia, and 87 SSTI patients. Among eligible patients with antibiotic prescriptions, the following were adherent to guideline recommendations: 33 (37.9%) UTI, 78 (43.3%) pneumonia, and 23 (26.4%) SSTI. The overall extent of adherence to hospital antibiotic treatment guidelines for the use of antibiotics among adult inpatients diagnosed with these common infections was 37.9%. Patients who received ceftriaxone (OR = 2.09, 95% CI = 1.18-3.71, p=0.012) and levofloxacin (OR = 4.63, 95% CI = 1.30-16.53, p=0.018) had significantly higher adherence to treatment guidelines. This study revealed a low adherence rate despite the availability of updated guidelines for antibiotic prescriptions. The findings confer an urgent need to confront antibiotic prescription patterns in such tertiary care centers for tailored interventions to improve adherence to antibiotic guidelines.

Early empiric antibiotic use in COVID-19 patients: results from the international VIRUS registry

OBJECTIVES

COVID-19 escalated inappropriate antibiotic use. We determined the distribution of pathogens causing community-acquired co-infections, the rate, and factors associated with early empiric antibiotic (EEAB) treatment among hospitalized COVID-19 patients.

METHODS

The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 Registry including 68,428 patients from 28 countries enrolled between January 2020 and October 2021 were screened. After exclusions, 7830 patients were included in the analysis. Azithromycin and/or other antibiotic treatment given within the first 3 days of hospitalization was investigated. Univariate and multivariate analyses were performed to determine factors associated with EEAB use.

RESULTS

The majority (6214, 79.4%) of patients received EEAB, with azithromycin combination being the most frequent (3146, 40.2%). As the pandemic advanced, the proportion of patients receiving EEAB regressed from 84.4% (786/931) in January-March 2020 to 65.2% (30/46) in April-June 2021 (P < 0.001). Beta-lactams, especially ceftriaxone was the most commonly used antibiotic. Staphylococcus aureus was the most commonly isolated pathogen. Multivariate analysis showed geographical location and pandemic timeline as the strongest independent predictors of EEAB use.

CONCLUSIONS

EEAB administration decreased as pandemic advanced, which may be the result of intensified antimicrobial stewardship efforts. Our study provides worldwide goals for antimicrobial stewardship programs in the post-COVID-19 era.

Impact of the sequential implementation of a pharmacy-driven methicillin-resistant Staphylococcus aureus (MRSA) nasal-swab ordering policy and vancomycin 72-hour restriction protocol on standardized antibiotic administration ratio (SAAR) data for antibiotics used for resistant gram-positive infections

OBJECTIVE

Vancomycin is often initiated in hospitalized patients; however, it may be unnecessary or continued for longer durations than needed. Oversight of all vancomycin orders may not be feasible with widespread prescribing and strategies to enlist other clinicians to serve as stewards of vancomycin use are needed. We implemented 2 sequential interventions: a protocol in which the pharmacist orders MRSA nasal swab followed by a protocol requiring approval from pharmacists to continue vancomycin for >72 hours.

METHODS

In this single-center, retrospective, quasi-experimental study, we evaluated vancomycin use after implementation of a pharmacy-driven MRSA nasal-swab ordering protocol and a vancomycin 72-hour restriction protocol. The primary outcome was the change in the standardized antibiotic administration ratio (SAAR) for antibacterial agents for resistant gram-positive infections. We also evaluated the impact on antibiotic utilization.

RESULTS

Following the MRSA swab protocol, the SAAR decreased from 1.26 to 1.13 (P < .001; 95% confidence interval [CI], 1.16-1.25). After the 72-hour approval process, the SAAR was 0.96 (P < .001; 95% CI, 1.0-1.12). Vancomycin utilization decreased from 138.9 to 125.3 days of therapy per 1,000 patient days following the MRSA swab protocol (P < .001) and to 112.7 (P < .001) following the 72-hour approval protocol. Interrupted time-series analysis identified a similar rate of decline in utilization following the 2 interventions (-0.3 and -0.5; P = .16). Both interventions combined resulted in a significant reduction (-1.5; P < .001).

CONCLUSION

Implementation of a pharmacist-driven MRSA nasal-swab ordering protocol, followed by a 72-hour approval protocol, was associated with a significant reduction in the SAAR for antibiotics used in the treatment of resistant gram-positive infections and a reduction in vancomycin utilization. Leveraging the oversight of primary service clinical pharmacists through these protocols proved to be an effective strategy.

Impact of the COVID-19 Pandemic on Inpatient Antibiotic Use in the United States, January 2019 Through July 2022

Antimicrobial use data reported to the National Healthcare Safety Network's Antimicrobial Use and Resistance Module between January 2019 and July 2022 were analyzed to assess the impact of the COVID-19 pandemic on inpatient antimicrobial use.

Health System and Tele-Antimicrobial Stewardship: The Role of Building Networks

Tele-antimicrobial stewardship programs (tele-ASPs) use technology and remote access to resources and clinical expertise to expand antimicrobial services within and outside of health systems. Models of tele-ASPs are workforce multiplying and workforce extending, depending on how they are structured. Building rapport and strong interpersonal networks are essential for successful ASPs. The available evidence suggests that an optimal model for tele-ASP includes hands-on involvement from remote infectious disease (ID) expertise with implementation by local pharmacists. However, this model remains limited by the available time and cost of ID-trained specialists.

The directed evolution of NDM-1

β-Lactam antibiotics are among the most frequently prescribed therapeutic agents. A common mechanism of resistance toward β-lactam antibiotics is the production of β-lactamases. These enzymes are capable of hydrolyzing the β-lactam bond, rendering the drug inactive. Among the four described classes, the metallo- β-lactamases (MBLs, class B) employ one or two zinc ions in the active site for catalysis. One of the three most clinically relevant MBLs is New Delhi Metallo- β-Lactamase (NDM-1). The current study sought to investigate the in vitro protein evolution of NDM-1 β-lactamase using error-prone polymerase chain reaction. Evaluation revealed that variants were not found to confer higher levels of resistance toward meropenem based on amino acid substitutions. Thus, we postulate that increases in transcription or changes in zinc transport may be clinically more relevant to meropenem resistance than amino acid substitutions.

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 nares swab to de-escalate vancomycin for patients with suspected methicillin-resistant Staphylococcus aureus

Introduction

According to the US Center for Disease Control and Prevention, 30%-50% of antibiotic use in hospitals is unnecessary or inappropriate. The coronavirus disease 2019 pandemic further complicates antibiotic use leading to greater initiation of empiric antibiotics. The result is antibiotic overuse and increased duration of unnecessary therapy. Vancomycin is a drug of last resort, primarily relegated to the treatment of Methicillin-Resistant Staphylococcus aureus (MRSA). De-escalating vancomycin can mean waiting on MRSA culture results, which may take up to 96 h. Nares screening for MRSA is shown to possess high negative predictive value for ruling out suspected MRSA pneumonia, intra-abdominal infections, and bacteremia.

Methods

This before-and-after study examines the impact of vancomycin therapy de-escalation due to absence of MRSA colonization detected via PCR assay of nares swabs. An intervention with providers using SMART goals was designed to increase nasal swabbing for MRSA and ultimately decrease vancomycin use at a large, tertiary-care urban hospital.

Results

There was a significant increase in use of vancomycin nares swabs (28/150 vs 48/100, p = 0.040) in the immediate pre/postintervention period, and significant decreases in vancomycin usage days/1,000 patient days of 2.34% per month (p = 0.039) over a two year period after the intervention.

Conclusion

An intervention using PCR nares swabs to detect MRSA led to significant, lasting decreases in vancomycin usage at this hospital. Similar interventions should be planned at hospitals experiencing overuse of this antibiotic.

Carbapenem-Resistant Klebsiella pneumoniae in Large Public Acute-Care Healthcare System, New York, New York, USA, 2016-2022

Controlling the spread of carbapenem-resistant Enterobacterales is a global priority. Using National Healthcare Safety Network data, we characterized the changing epidemiology of carbapenem-resistant Klebsiella pneumoniae (CRKP) in a large public health system in New York, New York, USA. During 2016-2020, CRKP cases declined; however, during 2021-June 2022, a notable increase occurred. Of 509 cases, 262 (51%) were considered community-onset, including 149 in patients who were living at home. Of 182 isolates with proven or presumptive (ceftazidime/avibactam susceptible) enzymes, 143 were serine carbapenemases; most confirmed cases were K. pneumoniae carbapenemase. The remaining 39 cases were proven or presumptive metallo-β-lactamases; all confirmed cases were New Delhi metallo-β-lactamases. After 2020, a marked increase occurred in the percentage of isolates possessing metallo-β-lactamases. Most patients with metallo-β-lactamases originated from long-term care facilities. An aggressive and universal program involving surveillance and isolation will be needed to control the spread of CRKP in the city of New York.

Impact of changing case definitions for coronavirus disease 2019 (COVID-19) hospitalization on pandemic metrics

OBJECTIVE

To examine the impact of commonly used case definitions for coronavirus disease 2019 (COVID-19) hospitalizations on case counts and outcomes.

DESIGN, PATIENTS, AND SETTING

Retrospective analysis of all adults hospitalized between March 1, 2020, and March 1, 2022, at 5 Massachusetts acute-care hospitals.

INTERVENTIONS

We applied 6 commonly used definitions of COVID-19 hospitalization: positive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) polymerase chain reaction (PCR) assay within 14 days of admission, PCR plus dexamethasone administration, PCR plus remdesivir, PCR plus hypoxemia, institutional COVID-19 flag, or COVID-19 International Classification of Disease, Tenth Revision (ICD-10) codes. Outcomes included case counts and in-hospital mortality. Overall, 100 PCR-positive cases were reviewed to determine each definition's accuracy for distinguishing primary or contributing versus incidental COVID-19 hospitalizations.

RESULTS

Of 306,387 hospital encounters, 15,436 (5.0%) met the PCR-based definition. COVID-19 hospitalization counts varied substantially between definitions: 4,628 (1.5% of all encounters) for PCR plus dexamethasone, 5,757 (1.9%) for PCR plus remdesivir, 11,801 (3.9%) for PCR plus hypoxemia, 15,673 (5.1%) for institutional flags, and 15,868 (5.2%) for ICD-10 codes. Definitions requiring dexamethasone, hypoxemia, or remdesivir selected sicker patients compared to PCR alone (mortality rates 12.2%, 10.7%, and 8.8% vs 8.3%, respectively). Definitions requiring PCR plus remdesivir or dexamethasone did not detect a reduction in in-hospital mortality associated with the SARS-CoV-2 Omicron variant. ICD-10 codes had the highest sensitivity (98.4%) but low specificity (39.5%) for distinguishing primary or contributing versus incidental COVID-19 hospitalizations. PCR plus dexamethasone had the highest specificity (92.1%) but low sensitivity (35.5%).

CONCLUSIONS

Commonly used definitions for COVID-19 hospitalizations generate variable case counts and outcomes and differentiate poorly between primary or contributing versus incidental COVID-19 hospitalizations. Surveillance definitions that better capture and delineate COVID-19-associated hospitalizations are needed.

The impact of the COVID-19 pandemic on antibiotic consumption and prevalence of pathogens in primary and secondary healthcare settings in Northern Ireland

AIM

To evaluate the impact of the COVID-19 pandemic on the patterns of antimicrobial use and the incidence of pathogens in primary and secondary healthcare settings in Northern Ireland.

METHODS

Data were collected on antibiotic use and Gram-positive and Gram-negative pathogens from primary and secondary healthcare settings in Northern Ireland for the period before (January 2015-March 2020) and during (April 2020-December 2021) the pandemic. Time series intervention analysis methods were utilized.

RESULTS

In the hospital setting, the mean total hospital antibiotic consumption during the pandemic was 1864.5 defined daily doses (DDDs) per 1000 occupied-bed days (OBD), showing no significant change from pre-pandemic (P = .7365). During the pandemic, the use of second-generation cephalosporins, third-generation cephalosporins, co-amoxiclav and levofloxacin increased, there was a decrease in the percentage use of the hospital Access group (P = .0083) and an increase in the percentage use of Watch group (P = .0040), and the number of hospital Klebsiella oxytoca and methicillin-susceptible Staphylococcus aureus cases increased. In primary care, the mean total antibiotic consumption during the COVID-19 pandemic was 20.53 DDDs per 1000 inhabitants per day (DID), compared to 25.56 DID before the COVID-19 pandemic (P = .0071). During the pandemic, there was a decrease in the use of several antibiotic classes, an increase in the percentage use of the Reserve group (P = .0032) and an increase in the number of community-onset Pseudomonas aeruginosa cases.

CONCLUSION

This study provides details of both changes in antibiotic consumption and the prevalence of infections in hospitals and primary care before and during the COVID-19 pandemic that emphasize the importance of antimicrobial stewardship in pandemic situations.

Transformation of tetracycline by multipurpose Fe-Mn-Cu nano-composite oxide: Dual-synergies and dual-mechanisms

The interaction between tetracycline (TTC) and mixed metallic oxides remains unclear, and even complexation usually is ignored. This study firstly distinguished the triple functions of adsorption, transformation and complexation in presence of Fe-Mn-Cu nano-composite metallic oxide (FMC) on TTC. Rapid adsorption and faint complexation initiated the transformation that dominated the entire reactions at 180 min, which completed TTC removal (up to 99.04%) synergistically within 48 h. Environmental factors (dosage, pH and coexisting ions) had small influence on TTC removal, which primarily depended on the stable transformation characteristics of FMC. Kinetic models incorporating pseudo-second-order kinetics and transformation reaction kinetics demonstrated that the surface sites of FMC promoted electron transfer process through chemical adsorption and electrostatic attraction. ProtoFit program coupled with characterization methods concluded that Cu-OH was the main reaction site of FMC where the protonated surface favored to generate·O₂^-. Meanwhile, three metal ions developed simultaneous mediated transformation reactions on TTC in liquid phase, and·O₂^- induced the production of·OH. The transformed products were subjected to toxicity assessment, which had lost antimicrobial properties toward Escherichia coli. Insights gained from this study can refine the dual mechanisms of multipurpose FMC in solid and liquid phases underlying TTC transformation.

Treatment and care received by children hospitalized with COVID-19 in a large hospital network in the United States, February 2020 to September 2021

We described care received by hospitalized children with COVID-19 or multi-system inflammatory syndrome (MIS-C) prior to the 2021 COVID-19 Omicron variant surge in the US. We identified hospitalized children <18 years of age with a COVID-19 or MIS-C diagnosis (COVID-19 not required), separately, from February 2020-September 2021 (n = 126 hospitals). We described high-risk conditions, inpatient treatments, and complications among these groups. Among 383,083 pediatric hospitalizations, 2,186 had COVID-19 and 395 had MIS-C diagnosis. Less than 1% had both COVID-19 and MIS-C diagnosis (n = 154). Over half were >6 years old (54% COVID-19, 70% MIS-C). High-risk conditions included asthma (14% COVID-19, 11% MIS-C), and obesity (9% COVID-19, 10% MIS-C). Pulmonary complications in children with COVID-19 included viral pneumonia (24%) and acute respiratory failure (11%). In reference to children with COVID-19, those with MIS-C had more hematological disorders (62% vs 34%), sepsis (16% vs 6%), pericarditis (13% vs 2%), myocarditis (8% vs 1%). Few were ventilated or died, but some required oxygen support (38% COVID-19, 45% MIS-C) or intensive care (42% COVID-19, 69% MIS-C). Treatments included: methylprednisolone (34% COVID-19, 75% MIS-C), dexamethasone (25% COVID-19, 15% MIS-C), remdesivir (13% COVID-19, 5% MIS-C). Antibiotics (50% COVID-19, 68% MIS-C) and low-molecular weight heparin (17% COVID-19, 34% MIS-C) were frequently administered. Markers of illness severity among hospitalized children with COVID-19 prior to the 2021 Omicron surge are consistent with previous studies. We report important trends on treatments in hospitalized children with COVID-19 to improve the understanding of real-world treatment patterns in this population.

Trends in Inpatient Antibiotic Use Among Adults Hospitalized During the Coronavirus Disease 2019 Pandemic in Argentina, Brazil, and Chile, 2018-2021

BACKGROUND

High rates of antibiotic use (AU) among inpatients with coronavirus disease 2019 (COVID-19) despite low rates of bacterial coinfection and secondary infection have been reported. We evaluated the impact of the COVID-19 pandemic on AU in healthcare facilities (HCFs) in South America.

METHODS

We conducted an ecologic evaluation of AU in inpatient adult acute care wards in 2 HCFs each in Argentina, Brazil, and Chile. The AU rates for intravenous antibiotics were calculated as the defined daily dose per 1000 patient-days, using pharmacy dispensing records and hospitalization data from March 2018-February 2020 (prepandemic) and March 2020-February 2021 (pandemic). Differences in median AU were compared between the prepandemic and pandemic periods, using the Wilcoxon rank sum test to determine significance. Interrupted time series analysis was used to analyze changes in AU during the COVID-19 pandemic.

RESULTS

Compared with the prepandemic period, the median difference in AU rates for all antibiotics combined increased in 4 of 6 HCFs (percentage change, 6.7%-35.1%; P < .05). In the interrupted time series models, 5 of 6 HCFs had significant increases in use of all antibiotics combined immediately at the onset of the pandemic (immediate effect estimate range, 15.4-268), but only 1 of these 5 HCFs experienced a sustained increase over time (change in slope, +8.13; P < .01). The effect of the pandemic onset varied by antibiotic group and HCF.

CONCLUSIONS

Substantial increases in AU were observed at the beginning of the COVID-19 pandemic, suggesting the need to maintain or strengthen antibiotic stewardship activities as part of pandemic or emergency HCF responses.

Fulminant Clostridioides difficile Colitis With SARS-CoV-2 Infection

Clostridioides difficile (C. difficile)and coronavirus disease 2019 (COVID-19) infections can have overlapping symptoms. Recently, the association and outcomes of coinfection have been studied. We present the case of an 83-year-old lady with Parkinson's disease (PD) who was admitted with pneumonia secondary to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. She was treated with empiric antibiotics ampicillin-sulbactam and azithromycin, along with antiviral therapy remdesivir and baricitinib, and dexamethasone. The patient developed severe C. difficile infection with a leukemoid reaction. She was treated with intravenous metronidazole and oral vancomycin without any improvement. Before she could receive a fecal microbiota transplant, her infection progressed to fulminant colitis, and she required emergent surgery. The patient developed several complications post-surgery and succumbed to the severe illness. Our patient's multiple comorbidities and an underlying COVID-19 infection predisposed her to severe illness. This case emphasizes the long-standing discussion on antibiotic stewardship and encourages a debate on the role of immunosuppressant antiviral medications and underlying PD in predisposing patients to a severe C. difficile infection.

Global antibiotic use during the COVID-19 pandemic: analysis of pharmaceutical sales data from 71 countries, 2020-2022

BACKGROUND

Despite bacterial coinfection rates of less than 10%, antibiotics are prescribed to an estimated 75% of patients with COVID-19, potentially exacerbating antimicrobial resistance. We estimated the associations of COVID-19 cases and vaccinations with global antibiotic sales during the first two years of the COVID-19 pandemic.

METHODS

We obtained monthly data on broad-spectrum antibiotic sales volumes (cephalosporins, penicillins, macrolides, and tetracyclines) in 71 countries during March 2020-May 2022 from the IQVIA MIDAS® database. These data were combined with country-month-level COVID-19 case and vaccination data from Our World in Data. We used least squares (pooled) and fixed-effects panel data regression models, accounting for country characteristics, to estimate the associations between antibiotic sales volumes and COVID-19 cases and vaccinations per 1000 people.

FINDINGS

Sales of all four antibiotics fell sharply during April and May 2020, followed by a gradual rise to near pre-pandemic levels through May 2022. In fixed-effects regression models, a 10% increase in monthly COVID-19 cases was associated with 0.2%-0.3% higher sales of cephalosporins, 0.2%-0.3% higher sales of penicillins, 0.4%-0.6% higher sales of macrolides, and 0.3% higher sales of all four antibiotics combined per 1000 people. Across continents, a 10% increase in monthly COVID-19 cases was associated with 0.8%, 1.3%, and 1.5% higher macrolides sales in Europe, North America, and Africa respectively. Sales of other antibiotics across continent were also positively associated with COVID-19 cases, although the estimated associations were smaller in magnitude. No consistent associations were observed between antibiotic sales and COVID-19 vaccinations. Results from pooled regression analysis were similar to those from the fixed-effects models.

INTERPRETATION

Antibiotic sales were positively associated with COVID-19 cases globally during 2020-2022. Our findings underline that antibiotic stewardship in the context of COVID-19 remains essential.

FUNDING

Bill & Melinda Gates Foundation.

A multicenter evaluation of antibacterial use in hospitalized patients through the SARS-Cov-2 pandemic waves

BACKGROUND

Excessive use of antibiotics has been reported during the SARS-CoV-2 pandemic. We evaluated trends in antibiotic use and culture positive Gram-negative (GN)/Gram-positive (GP) pathogens in US hospitalized patients before and during the SARS-CoV-2 pandemic.

METHODS

This multicenter, retrospective study included patients from 271 US facilities with > 1-day inpatient admission with discharge or death between July 1, 2019, and October 30, 2021, in the BD Insights Research Database. We evaluated microbiological testing data, antibacterial use, defined as antibacterial use ≥ 24 h in admitted patients, and duration of antibacterial therapy.

RESULTS

Of 5,518,744 patients included in the analysis, 3,729,295 (67.6%) patients were hospitalized during the pandemic with 2,087,774 (56.0%) tested for SARS-CoV-2 and 189,115 (9.1%) testing positive for SARS-CoV-2. During the pre-pandemic period, 36.2% were prescribed antibacterial therapy and 9.3% tested positive for select GN/GP pathogens. During the SARS-CoV-2 pandemic, antibacterial therapy (57.8%) and positive GN/GP culture (11.9%) were highest in SARS-CoV-2-positive patients followed by SARS-CoV-2-negative patients (antibacterial therapy, 40.1%; GN/GP, pathogens 11.0%), and SARS-CoV-2 not tested (antibacterial therapy 30.4%; GN/GP pathogens 7.2%). Multivariate results showed significant decreases in antibacterial therapy and positive GN/GP cultures for both SARS-CoV-2-positive and negative patients during the pandemic, but no significant overall changes from the pre-pandemic period to the pandemic period.

CONCLUSIONS

There was a decline in both antibacterial use and positive GN/GP pathogens in patients testing positive for SARS-CoV-2. However, overall antibiotic use was similar prior to and during the pandemic. These data may inform future efforts to optimize antimicrobial stewardship and prescribing.

Trends in facility-level rates of Clostridioides difficile infections in US hospitals, 2019-2020

OBJECTIVES

The coronavirus disease 2019 pandemic caused substantial changes to healthcare delivery and antibiotic prescribing beginning in March 2020. To assess pandemic impact on Clostridioides difficile infection (CDI) rates, we described patients and trends in facility-level incidence, testing rates, and percent positivity during 2019-2020 in a large cohort of US hospitals.

METHODS

We estimated and compared rates of community-onset CDI (CO-CDI) per 10,000 discharges, hospital-onset CDI (HO-CDI) per 10,000 patient days, and C. difficile testing rates per 10,000 discharges in 2019 and 2020. We calculated percent positivity as the number of inpatients diagnosed with CDI over the total number of discharges with a test for C. difficile. We used an interrupted time series (ITS) design with negative binomial and logistic regression models to describe level and trend changes in rates and percent positivity before and after March 2020.

RESULTS

In pairwise comparisons, overall CO-CDI rates decreased from 20.0 to 15.8 between 2019 and 2020 (P < .0001). HO-CDI rates did not change. Using ITS, we detected decreasing monthly trends in CO-CDI (-1% per month, P = .0036) and HO-CDI incidence (-1% per month, P < .0001) during the baseline period, prior to the COVID-19 pandemic declaration. We detected no change in monthly trends for CO-CDI or HO-CDI incidence or percent positivity after March 2020 compared with the baseline period.

CONCLUSIONS

While there was a slight downward trajectory in CDI trends prior to March 2020, no significant change in CDI trends occurred during the COVID-19 pandemic despite changes in infection control practices, antibiotic use, and healthcare delivery.

Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes

Municipal wastewater provides a representative sample of human fecal waste across a catchment area and contains a wide diversity of microbes. Sequencing wastewater samples provides information about human-associated and medically important microbial populations, and may be useful to assay disease prevalence and antimicrobial resistance (AMR). Here, we present a study in which we used untargeted metatranscriptomic sequencing on RNA extracted from 275 sewage influent samples obtained from eight wastewater treatment plants (WTPs) representing approximately 16 million people in Southern California between August 2020 - August 2021. We characterized bacterial and viral transcripts, assessed metabolic pathway activity, and identified over 2,000 AMR genes/variants across all samples. Because we did not deplete ribosomal RNA, we have a unique window into AMR carried as ribosomal mutants. We show that AMR diversity varied between WTPs (as measured through PERMANOVA, P < 0.001) and that the relative abundance of many individual AMR genes/variants increased over time (as measured with MaAsLin2, P_adj < 0.05). Similarly, we detected transcripts mapping to human pathogenic bacteria and viruses suggesting RNA sequencing is a powerful tool for wastewater-based epidemiology and that there are geographical signatures to microbial transcription. We captured the transcription of gene pathways common to bacterial cell processes, including central carbon metabolism, nucleotide synthesis/salvage, and amino acid biosynthesis. We also posit that due to the ubiquity of many viruses and bacteria in wastewater, new biological targets for microbial water quality assessment can be developed. To the best of our knowledge, our study provides the most complete longitudinal metatranscriptomic analysis of a large population's wastewater to date and demonstrates our ability to monitor the presence and activity of microbes in complex samples. By sequencing RNA, we can track the relative abundance of expressed AMR genes/variants and metabolic pathways, increasing our understanding of AMR activity across large human populations and sewer sheds.

Prescription trends of antiseizure medications before and during the COVID-19 pandemic

Introduction

Given the lack of evidence on how the COVID-19 pandemic impacted antiseizure medication (ASM) use, we examined the trends of ASMs before and during COVID-19.

Methods

We conducted a population-based study using provincial-level health databases from Manitoba, Canada, between 1 June 2016 and 1 March 2021. We used interrupted time series autoregressive models to examine changes in the prevalence and incidence of ASM prescription rates associated with COVID-19 public health restrictions.

Results

Among prevalent users, the COVID-19 pandemic led to a significant increase in new-generation ASMs with a percentage change of 0.09% (p = 0.03) and a significant decrease in incidence use of all ASMs with a percentage change of -4.35% (p = 0.04). Significant trend changes were observed in the prevalent use of new-generation ASMs (p = 0.04) and incidence use of all (p = 0.04) and new-generation ASMs (p = 0.02). Gabapentin and clonazepam prescriptions contributed 37% of prevalent and 54% of incident use.

Conclusion

With the introduction of public health measures during COVID-19, small but significant changes in the incident and prevalent use of ASM prescriptions were observed. Further studies are needed to examine whether barriers to medication access were associated with potential deterioration in seizure control among patients.

Conference presentation

The results from this study have been presented as an oral presentation at the 38th ICPE, International Society of Pharmacoepidemiology (ISPE) annual conference in Copenhagen.

Trends in Clostridioides difficile infection across a public health hospital system in New York City 2019-2021: A cautionary note

Contrary to national reports, rates of healthcare facility-onset Clostridioides difficile infection across an 11-hospital system rose after the spring of 2020, when New York City was the epicenter for the COVID-19 pandemic. Antibiotic pressure from an escalation in cephalosporin usage correlated with this increase. The majority of cases of Clostridioides difficile were in patients without COVID-19, suggesting the pandemic has adversely impacted the healthcare of other inpatients.

Medications and Adherence to Treatment Guidelines Among Children Hospitalized With Acute COVID-19

OBJECTIVES

Coronavirus disease 2019 (COVID-19) treatment guidelines rapidly evolved during the pandemic. The December 2020 Infectious Diseases Society of America (IDSA) guideline, endorsed by the Pediatric Infectious Diseases Society, recommended steroids for critical disease, and suggested steroids and remdesivir for severe disease. We evaluated how medications for children hospitalized with COVID-19 changed after guideline publication.

METHODS

We performed a multicenter, retrospective cohort study of children aged 30 days to <18 years hospitalized with acute COVID-19 at 42 tertiary care US children's hospitals April 2020 to December 2021. We compared medication use before and after the December 2020 IDSA guideline (pre- and postguideline) stratified by COVID-19 disease severity (mild-moderate, severe, critical) with interrupted time series.

RESULTS

Among 18 364 patients who met selection criteria, 80.3% were discharged in the postguideline period. Remdesivir and steroid use increased postguideline relative to the preguideline period, although the trend slowed. Postguideline, among patients with severe disease, 75.4% received steroids and 55.2% remdesivir, and in those with critical disease, 82.4% received steroids and 41.4% remdesivir. Compared with preguideline, enoxaparin use increased overall but decreased among patients with critical disease. Postguideline, tocilizumab use increased and hydroxychloroquine, azithromycin, anakinra, and antibiotic use decreased. Antibiotic use remained high in severe (51.7%) and critical disease (81%).

CONCLUSIONS

Although utilization of COVID-19 medications changed after December 2020 IDSA guidelines, there was a decline in uptake and incomplete adherence for children with severe and critical disease. Efforts should enhance reliable delivery of guideline-directed therapies to children hospitalized with COVID-19 and assess their effectiveness.

A Perfect Storm: COVID-19 and Antimicrobial Resistance

For decades, infectious disease and public health experts have recognised antimicrobial resistance (AMR) and resulting infections due to multidrug resistant organisms as a persistent and increasingly urgent threat to public health at the local, national, and global level. The years leading up to the COVID-19 pandemic were marked by important victories in the battle against AMR, including a surge in scientific inquiry on the topic, the development of multinational best practice consensus statements, the establishment of regional and global venues to share information, and a partially-funded commitment by world leaders to address the topic in a serious and sustained manner.

Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes

Municipal wastewater provides a representative sample of human fecal waste across a catchment area and contains a wide diversity of microbes. Sequencing wastewater samples provides information about human-associated and medically-important microbial populations, and may be useful to assay disease prevalence and antimicrobial resistance (AMR). Here, we present a study in which we used untargeted metatranscriptomic sequencing on RNA extracted from 275 sewage influent samples obtained from eight wastewater treatment plants (WTPs) representing approximately 16 million people in Southern California between August 2020 - August 2021. We characterized bacterial and viral transcripts, assessed metabolic pathway activity, and identified over 2,000 AMR genes/variants across all samples. Because we did not deplete ribosomal RNA, we have a unique window into AMR carried as ribosomal mutants. We show that AMR diversity varied between WTPs and that the relative abundance of many individual AMR genes/variants increased over time and may be connected to antibiotic use during the COVID-19 pandemic. Similarly, we detected transcripts mapping to human pathogenic bacteria and viruses suggesting RNA sequencing is a powerful tool for wastewater-based epidemiology and that there are geographical signatures to microbial transcription. We captured the transcription of gene pathways common to bacterial cell processes, including central carbon metabolism, nucleotide synthesis/salvage, and amino acid biosynthesis. We also posit that due to the ubiquity of many viruses and bacteria in wastewater, new biological targets for microbial water quality assessment can be developed. To the best of our knowledge, our study provides the most complete longitudinal metatranscriptomic analysis of a large population's wastewater to date and demonstrates our ability to monitor the presence and activity of microbes in complex samples. By sequencing RNA, we can track the relative abundance of expressed AMR genes/variants and metabolic pathways, increasing our understanding of AMR activity across large human populations and sewer sheds.

Antibiotic-Resistant Infections Among Inpatients with Coronavirus Disease 2019 (COVID-19) in US Hospitals

We described bacterial/fungal coinfections and antibiotic-resistant infections among inpatients with a diagnosis of coronavirus disease 2019 (COVID-19) and compared findings in those with a diagnosis of influenza like illness. Less than 10% of inpatients with COVID-19 had bacterial/fungal coinfection. Longer lengths of stay, critical care stay, and mechanical ventilation contribute to increased incidence of hospital-onset infections among inpatients with COVID-19.

Analysis of an Antibiotic Stewardship Program for Asymptomatic Bacteriuria in the Veterans Affairs Health Care System

IMPORTANCE

Antibiotic stewardship for asymptomatic bacteriuria (ASB) is an important quality improvement target. Understanding how to implement successful antibiotic stewardship interventions is limited.

OBJECTIVE

To evaluate the effectiveness of a quality improvement stewardship intervention on reducing unnecessary urine cultures and antibiotic use in patients with ASB.

DESIGN, SETTING, AND PARTICIPANTS

This interrupted time series quality improvement study was performed at the acute inpatient medical and long-term care units of 4 intervention sites and 4 comparison sites in the Veterans Affairs (VA) health care system from October 1, 2017, through April 30, 2020. Participants included the clinicians who order or collect urine cultures and who order, dispense, or administer antibiotics. Clinical outcomes were measured in all patients in a study unit during the study period. Data were analyzed from July 6, 2020, to May 24, 2021.

INTERVENTION

Case-based teaching on how to apply an evidence-based algorithm to distinguish urinary tract infection and ASB. The intervention was implemented through external facilitation by a centralized coordinating center, with a site champion at each intervention site serving as an internal facilitator.

MAIN OUTCOMES AND MEASURES

Urine culture orders and days of antibiotic therapy (DOT) and length of antibiotic therapy in days (LOT) associated with urine cultures, standardized by 1000 bed-days, were obtained from the VA's Corporate Data Warehouse.

RESULTS

Of 11 299 patients included, 10 703 (94.7%) were men, with a mean (SD) age of 72.6 (11.8) years. The decrease in urine cultures before and after the intervention was not significant in intervention sites per segmented regression analysis (-0.04 [95% CI, -0.17 to 0.09]; P = .56). However, difference-in-differences analysis comparing intervention with comparison sites found a significant reduction in the number of urine cultures ordered by 3.24 urine cultures per 1000 bed-days (P = .003). In the segmented regression analyses, the relative percentage decrease of DOT in the postintervention period at the intervention sites was 21.7% (P = .007), from 46.1 (95% CI, 28.8-63.4) to 37.0 (95% CI, 22.6-51.4) per 1000 bed-days. The relative percentage decrease of LOT in the postintervention period at the intervention sites was 21.0% (P = .001), from 36.7 (95% CI, 23.2-50.2) to 29.6 (95% CI, 18.2-41.0) per 1000 bed-days.

CONCLUSIONS AND RELEVANCE

The findings of this quality improvement study suggest that an individualized intervention for antibiotic stewardship for ASB was associated with a decrease in urine cultures and antibiotic use when implemented at multiple sites via external and internal facilitation. The electronic health record database-derived outcome measures and centralized facilitation approach are both suitable for dissemination.

Co-Infections, Secondary Infections, and Antimicrobial Use in Patients Hospitalized with COVID-19 during the First Five Waves of the Pandemic in Pakistan; Findings and Implications

Background: COVID-19 patients are typically prescribed antibiotics empirically despite concerns. There is a need to evaluate antibiotic use among hospitalized COVID-19 patients during successive pandemic waves in Pakistan alongside co-infection rates. Methods: A retrospective review of patient records among five tertiary care hospitals during successive waves was conducted. Data were collected from confirmed COVID-19 patients during the first five waves. Results: 3221 patients were included. The majority were male (51.53%), residents from urban areas (56.35%) and aged >50 years (52.06%). Cough, fever and a sore throat were the clinical symptoms in 20.39%, 12.97% and 9.50% of patients, respectively. A total of 23.62% of COVID-19 patients presented with typically mild disease and 45.48% presented with moderate disease. A high prevalence of antibiotic prescribing (89.69%), averaging 1.66 antibiotics per patient despite there only being 1.14% bacterial co-infections and 3.14% secondary infections, was found. Antibiotic use significantly increased with increasing severity, elevated WBCs and CRP levels, a need for oxygen and admittance to the ICU; however, this decreased significantly after the second wave (p < 0.001). Commonly prescribed antibiotics were piperacillin plus an enzyme inhibitor (20.66%), azithromycin (17.37%) and meropenem (15.45%). Common pathogens were Staphylococcus aureus (24.19%) and Streptococcus pneumoniae (20.96%). The majority of the prescribed antibiotics (93.35%) were from the WHO’s “Watch” category. Conclusions: Excessive prescribing of antibiotics is still occurring among COVID-19 patients in Pakistan; however, rates are reducing. Urgent measures are needed for further reductions.

Guidelines for COVID-19 Laboratory Testing for Emergency Departments From the New Diagnostic Technology Team of the Taiwan Society of Emergency Medicine

COVID-19 tests have different turnaround times (TATs), accuracy levels, and limitations, which emergency physicians should be aware of. Nucleic acid amplification tests (NAATs) can be divided into standard high throughput tests and rapid molecular diagnostic tests at the point of care (POC). The standard NAAT has the advantages of high throughput and high accuracy with a TAT of 3-4 hours. The POC molecular test has the same advantages of high accuracy as standard high throughput PCR, but can be done in 13-45 minutes. Roche cobas Liat is the most commonly used machine in Taiwan, displaying 99%-100% sensitivity and 100% specificity, respectively. Abbott ID NOW is an isothermal PCR-based POC machine with a sensitivity of 79% and a specificity of 100%. A high rate of false positives and false negatives is associated with rapid antigen testing. Antibody testing is mostly used as part of public health surveys and for testing for immunity.

Impact of Clinical Decision Support System Implementation at a Community Hospital with an Existing Tele-Antimicrobial Stewardship Program

Background

Lack of on-site antimicrobial stewardship expertise is a barrier to establishing successful programs. Tele-antimicrobial stewardship programs (TASPs) utilizing a clinical decision support system (CDSS) can address these challenges.

Methods

This interrupted time series study reports the impact of CDSS implementation (February 2020) within an existing TASP on antimicrobial usage in a community hospital. Segmented regression analysis was used to assess differences in antimicrobial usage from January 2018 through December 2021. Pre- and post-CDSS frequencies of intravenous vs oral antimicrobials, time to optimal therapy (TTOT), pharmacist efficiency (number of documented interventions per month), and percentage of hospitalized patients receiving antimicrobials were compared with descriptive statistics.

Results

Implementation of a CDSS into an existing TASP was associated with an immediate 11% reduction in antimicrobial usage (level change, P < .0001). Antimicrobial usage was already trending down by 0.25% per month (pre-CDSS slope, P < .0001) and continued to trend down at a similar rate after implementation (post-CDSS slope, P = .0129). Frequency of use of select oral agents increased from 38% to 57%. Median TTOT was 1 day faster (2.9 days pre-CDSS vs 1.9 days post-CDSS). On average, pharmacists documented 2.2-fold more interventions per month (198 vs 90) and patients received 1.03 fewer days of antimicrobials per admission post-CDSS.

Conclusions

Implementation of a CDSS within an established TASP at a community hospital resulted in decreased antimicrobial usage, higher rates of oral usage, faster TTOT, and improved pharmacist efficiency.

Development of a Centralized Antimicrobial Stewardship Program Across a Diverse Health System and Early Antimicrobial Usage Trends

Background

Expanding antimicrobial stewardship to community hospitals is vital and now required by regulatory agencies. UPMC instituted the Centralized Health system Antimicrobial Stewardship Efforts (CHASE) Program to expand antimicrobial stewardship to all UPMC hospitals regardless of local resources. For hospitals with few local stewardship resources, we used a model integrating local non-Infectious Diseases (ID) trained pharmacists with centralized ID experts.

Methods

Thirteen hospitals were included. Eleven were classified as robust (4) or nonrobust (7) depending on local stewardship resources and fulfillment of Centers for Disease Control and Prevention core elements of hospital antimicrobial stewardship. In addition to general stewardship oversight at all UPMC hospitals, the centralized team interacted regularly with nonrobust hospitals for individual patient reviews and local projects. We compared inpatient antimicrobial usage rates at nonrobust versus robust hospitals and at 2 UPMC academic medical centers.

Results

The CHASE Program expanded in scope between 2018 and 2020. During this period, antimicrobial usage at these 13 hospitals decreased by 16% with a monthly change of −4.7 days of therapy (DOT)/1000 patient days (PD) (95% confidence interval [CI], −5.5 to −3.9; P < .0001). Monthly decrease at nonrobust hospitals was −3.3 DOT/1000 PD per month (−4.5 to −2.0, P < .0001), similar to rates of decline at both robust hospitals (−3.3 DOT/1000 PD) and academic medical centers (−4.8 DOT/1000 PD) (P = .167).

Conclusions

Coordinated antimicrobial stewardship can be implemented across a large and diverse health system. Our hybrid model incorporating a central team of experts with local community hospital pharmacists led to usage decreases over 3 years at a rate comparable to that seen in larger hospitals with more established stewardship programs.

Changes in intravenous and oral antimicrobial prescriptions during the coronavirus disease 2019 (COVID-19) pandemic: an experience at a tertiary-care center

Antimicrobial use during the coronavirus disease 2019 (COVID-19) pandemic at a tertiary-care center was analyzed using interrupted time-series analysis. Among intravenous antimicrobials, the use of azithromycin and third-generation cephalosporins significantly decreased during the current pandemic. Similarly, the use of oral antimicrobials, including azithromycin and fluoroquinolones, also decreased.

Coinfections and antimicrobial use in patients hospitalized with coronavirus disease 2019 (COVID-19) across a single healthcare system in New York City: A retrospective cohort study

BACKGROUND AND OBJECTIVE

With the coronavirus disease 2019 (COVID-19) pandemic, rates of in-hospital antimicrobial use increased due to perceived bacterial and fungal coinfections along with COVID-19. We describe the incidence of these coinfections and antimicrobial use in patients hospitalized with COVID-19 to help guide effective antimicrobial use in this population.

SETTING

This study was conducted in 3 tertiary-care referral university teaching hospitals in New York City.

METHODS

This multicenter retrospective observational cohort study involved all patients admitted with COVID-19 from January 1, 2020, to February 1, 2021. Variables of interest were extracted from a de-identified data set of all COVID-19 infections across the health system. Population statistics are presented as median with interquartile range (IQR) or proportions with 95% confidence intervals (CIs) as indicated.

RESULTS

Among 7,209 of patients admitted with COVID-19, 663 (9.2%) had a positive culture from the respiratory tract or blood sometime during their initial hospital admission. Positive respiratory cultures occurred found in 449 (6.2%) patients, and 20% were collected within 48 hours of admission. Blood culture positivity occurred in 334 patients (4.6%), with 33.5% identified within 48 hours of admission. A higher proportion of patients received antimicrobials in the first wave than in the later pandemic period (82.4% vs 52.0%). Antimicrobials were prescribed to 70.1% of inpatients, with a median of 6 antimicrobial days per patient. Infection-free survival decreased over the course of hospitalization.

CONCLUSIONS

We detected a very low incidence of coinfection with COVID-19 at admission. A longer duration of hospitalization was associated with an increased risk of coinfection. Antimicrobial use far exceeded the true incidence and detection of coinfections in these patients.

Antibiotic Use during the COVID-19 Pandemic in a Tertiary Hospital with an Ongoing Antibiotic Stewardship Program

During the recent pandemic, the fact that the clinical manifestation of COVID-19 may be indistinguishable from bacterial infection, as well as concerns of bacterial co-infection, have been associated with an increased use of antibiotics. The objective of this study was to assess the effect of targeted antibiotic stewardship programs (ASP) on the use of antibiotics in designated COVID-19 departments and to compare it to the antibiotic use in the equivalent departments in the same periods of 2018 and 2019. Antibiotic consumption was assessed as days of treatment (DOT) per 1000 patient days (PDs). The COVID-19 pandemic was divided into three periods (waves) according to the pandemic dynamics. The proportion of patients who received at least one antibiotic was significantly lower in COVID-19 departments compared to equivalent departments in 2018 and 2019 (Wave 2: 30.2% vs. 45.6% and 44.9%, respectively; Wave 3: 30.5% vs. 47.8% and 50.1%, respectively, p < 0.001). The DOT/1000PDs in every COVID-19 wave was lower than during similar periods in 2018 and 2019 (179-282 DOT/1000PDs vs. 452-470 DOT/1000PDs vs. 426-479 DOT/1000PDs, respectively). Moreover, antibiotic consumption decreased over time during the pandemic. In conclusion, a strong ASP is effective in restricting antibiotic consumption, particularly for COVID-19 which is a viral disease that may mimic bacterial sepsis but has a low rate of concurrent bacterial infection.

A Direct Rapid Phenotypic Antimicrobial Susceptibility Test Enables Early Selection of Optimal Antibiotics to Treat Bacteremia in COVID-19 Patients

Background

Co-infection with bacteria and severe acute respiratory syndrome coronavirus 2 may result in greater use of healthcare resources and a poor prognosis. Therefore, early selection and use of optimal antibiotics are essential. The direct rapid antibiotic susceptibility test (dRAST) can detect antibiotic resistance within 6 h of a Gram smear result. This study aimed to assess the effectiveness of dRAST for improving early selection of appropriate antibiotics for coronavirus disease 2019 (COVID-19) patients with bacteremia.

Materials and Methods

This retrospective study included 96 blood culture-positive COVID-19 patients. Bacterial isolates and antimicrobial resistance profiles of each case were evaluated. Cases were divided into two groups based on whether they underwent conventional antibiotic susceptibility test (AST) or dRAST. The time to optimal targeted treatment for the two groups was investigated and compared. In addition, we examined the proportion of cases for which appropriate antibiotics were selected and broad spectrum antibiotics were administered at 72 h from blood sample collection.

Results

The mean time to optimal targeted antibiotic treatment was shorter for the dRAST group [55.7; standard deviation (SD), 28.7 vs. 92.3; SD, 51.1 h; P = 0.041]. The proportion of cases receiving optimal targeted antibiotics 72 h after blood collection for culture was higher [6/10 (60.0%) vs. 10/25 (40.0%)] and the percentage receiving broad spectrum antibiotics at 72 h was lower [6/10 (60.0%) vs. 19/25 (76.0%)] in the dRAST group than in the conventional AST group. In terms of microbiology profile, the contamination rate was high (35.5%) and multidrug-resistant strains were common (63.2%) in COVID-19 patients with bacteremia.

Conclusion

Application of dRAST for selection of antibiotics to treat bacteremia in COVID-19 patients may enable earlier and optimal treatment. The high incidence of contamination and resistant organisms in blood cultures from COVID-19 patients suggest that dRAST may speed up appropriate targeted treatment.