Increased prescribing of antibiotics commonly used for respiratory infections, including azithromycin, ceftriaxone, and doxycycline was observed in nursing homes (NH) during the COVID-19 pandemic however antibiotic prescribing was not linked to resident diagnosis. Therefore, our objective was to characterize antibiotic prescribing in residents with SARS-CoV-2 infection in a large cohort of US NHs.We conducted a retrospective cohort study using PointClickCare (PCC) data containing longitudinal NH electronic health records. We included 4,891 NHs that reported ≥1 medication order/month from April 2020-November 2021. We identified the first onset of SARS-CoV-2 infection using ICD-10-CM diagnosis code U07.1. To validate the number of SARS-CoV-2 infections per facility captured in PCC, we compared the total number of SARS-CoV-2 infections documented in PCC to those reported to the National Healthcare Safety Network (NHSN). Antibiotic orders were determined to be associated with a SARS-CoV-2 infection if 3 days before or ≤7 days after diagnosis. We characterized the proportion of residents with a SARS-CoV-2 infection with an associated antibiotic by month.We included 2,086 (43%) NHs that had ≤20% difference in total number of SARS-CoV-2 infections documented in PCC and reported to NHSN. From April 2020-November 2021, a total of 118,180 residents with a SARS-CoV-2 infection were identified and 24% had an associated antibiotic prescription (N=27,972). The highest prescription rate (30%, 95% Confidence Interval [29%-31%]) was observed in April 2020 and varied by less than 8% from May 2020-November 2021 (Fig.1). The most commonly prescribed antibiotics were azithromycin (53%), doxycycline (13%) and ceftriaxone (10%). An antibiotic prescription was linked to up to a quarter of NH residents with SARS-CoV-2 infection, highlighting potential opportunities for avoiding unnecessary antibiotic prescribing for viral infections in NHs. Appropriate antibiotic prescribing in NH populations is important to reduce potential harm when antibiotics offer no treatment benefit to the resident. Identifying facility-level characteristics that lead to variability in antibiotic prescribing is a next step to inform antibiotic stewardship interventions.All Authors: No reported disclosures.

BACKGROUND: Trends in prescribing for nursing home (NH) residents, which may have been influenced by the COVID-19 pandemic, have not been characterized. METHODS: Long-term care pharmacy data from 1,944 U.S. NHs were used to evaluate trends in prescribing of antibiotics and drugs that were investigated for COVID-19 treatment, including hydroxychloroquine, famotidine, and dexamethasone. To account for seasonal variability in antibiotic prescribing and decreased NH occupancy during the pandemic, monthly prevalence of residents with a prescription dispensed per 1,000 residents serviced was calculated from January - October and compared as relative percent change from 2019 to 2020. RESULTS: In April 2020, prescribing was significantly higher in NHs for drugs investigated for COVID-19 treatment than 2019; including hydroxychloroquine (+563%, 95% confidence interval (CI) 5.87, 7.48) and azithromycin (+150%, 95% CI 2.37, 2.63). Ceftriaxone prescribing also increased (+43%, 95% CI 1.34, 1.54). Prescribing of dexamethasone was 36% lower in April (95% CI 0.55, 0.73) and 303% higher in July (95% CI 3.66, 4.45). Although azithromycin and ceftriaxone prescribing increased, total antibiotic prescribing among residents was lower from May (-5%, 95% CI 0.94, 0.97) through October (-4%, 95% CI 0.94, 0.97) in 2020 compared to 2019. CONCLUSIONS: During the pandemic, large numbers of residents were prescribed drugs investigated for COVID-19 treatment, and an increase in prescribing of antibiotics commonly used for respiratory infections was observed. Prescribing of these drugs may increase the risk of adverse events, without providing clear benefits. Surveillance of NH prescribing practices is critical to evaluate concordance with guideline-recommended therapy and improve resident safety.

BACKGROUND: The objective of our study was to describe trends in U.S. outpatient antibiotic prescriptions from January through May 2020 and compare with trends in previous years (2017-2019). METHODS: We used data from the IQVIA Total Patient Tracker to estimate the monthly number of patients dispensed antibiotic prescriptions from retail pharmacies in January 2017-May 2020. We averaged estimates from 2017-2019 and defined expected seasonal change as the average percent change from January to May 2017-2019. We calculated percentage point and volume changes in the number of patients dispensed antibiotics from January to May 2020 exceeding expected seasonal changes. We also calculated average percent change in number of patients dispensed antibiotics per month in 2017- 2019 versus 2020. Data were analyzed overall and by agent, class, patient age, state, and prescriber specialty. RESULTS: From January to May 2020, the number of patients dispensed antibiotic prescriptions decreased from 20.3 to 9.9 million, exceeding seasonally expected decreases by 33 percentage points and 6.6 million patients. The largest changes in 2017-2019 versus 2020 were observed in April (-39%) and May (-42%). The number of patients dispensed azithromycin increased from February to March 2020 then decreased. Overall, beyond-expected decreases were greatest among children (≤19 years) and agents used for respiratory infections, dentistry, and surgical prophylaxis. CONCLUSIONS: From January 2020 to May 2020, the number of outpatients with antibiotic prescriptions decreased substantially more than would be expected due to seasonal trends alone, possibly related to the COVID-19 pandemic and associated mitigation measures.

Mycoplasma pneumoniae was detected in a number of patients with community-acquired pneumonia in a recent prospective study. To assess whether other pathogens were also detected in these patients, TaqMan Array Cards were used to test 216 M pneumoniae-positive respiratory specimens for 25 additional viral and bacterial respiratory pathogens. It is interesting to note that 1 or more codetections, predominantly bacterial, were identified in approximately 60% of specimens, with codetections being more common in children.

BACKGROUND: Mycoplasma pneumoniae is a common cause of community-acquired pneumonia (CAP). The molecular characteristics of M pneumoniae detected in patients hospitalized with CAP in the United States are poorly described. METHODS: We performed molecular characterization of M pneumoniae in nasopharyngeal/oropharyngeal swabs from children and adults hospitalized with CAP in the Centers for Disease Control and Prevention Etiology of Pneumonia in the Community (EPIC) study, including P1 typing, multilocus variable-number tandem-repeat analysis (MLVA), and macrolide susceptibility genotyping. RESULTS: Of 216 M pneumoniae polymerase chain reaction-positive specimens, 40 (18.5%) were obtained from adults and 176 (81.5%) from children. P1 type distribution differed between adults (64% type 1 and 36% type 2) and children (84% type 1, 13% type 2, and 3% variant) (P < .05) and among sites (P < .01). Significant differences in the proportions of MLVA types 4/5/7/2 and 3/5/6/2 were also observed by age group (P < .01) and site (P < .01). A macrolide-resistant genotype was identified in 7 (3.5%) specimens, 5 of which were from patients who had recently received macrolide therapy. No significant differences in clinical characteristics were identified among patients with various strain types or between macrolide-resistant and -sensitive M pneumoniae infections. CONCLUSIONS: The P1 type 1 genotype and MLVA type 4/5/7/2 predominated, but there were differences between children and adults and among sites. Macrolide resistance was rare. Differences in strain types did not appear to be associated with differences in clinical outcomes. Whole genome sequencing of M pneumoniae may help identify better ways to characterize strains.

An outbreak at a university in Georgia was identified after eighty-three cases of probable pneumonia were reported among students. Respiratory specimens were obtained from 21 students for an outbreak investigation. The TaqMan Array Card (TAC), a qPCR-based multi-pathogen detection technology, was used to initially identify M. pneumoniae as the causative agent in this outbreak. TAC demonstrated 100% diagnostic specificity and sensitivity when compared to the multiplex qPCR assay for this agent. All M. pneumoniae specimens (n=12) and isolates (n=10) were found to be susceptible to macrolide antibiotics through genetic analysis. Strain diversity of M. pneumoniae associated with this outbreak setting was identified using a variety of molecular typing procedures, resulting in two P1 genotypes (types 1 (60%) and 2 (40%)) and seven different Multi-Locus Variable-Number Tandem-Repeat analysis (MLVA) profiles. Continued molecular typing of this organism, particularly during outbreaks, may enhance the current understanding of the epidemiology of M. pneumoniae and may ultimately lead to a more effective public health response.