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1.
Open Forum Infectious Diseases ; 8(SUPPL 1):S178, 2021.
Article in English | EMBASE | ID: covidwho-1746734

ABSTRACT

Background. The impact of antimicrobial stewardship programs has been well observed in institutional settings;however, patients complete over one-third of their antibiotic course after discharge. This creates a gap in stewardship efforts at transitions of care. We studied whether pharmacist review of antibiotic prescriptions at discharge would improve outpatient antibiotic prescribing. Methods. This was a pilot project of patients in medicine wards of an academic medical center who were discharged on oral antibiotics between February and May 2021. Patients who were pregnant, <18 YO, had COVID-19, or leaving against medical advice were excluded from evaluation. For the pilot, a verification queue was created in the electronic health record (EHR) system where orders for discharge antibiotics were reviewed by investigator pharmacists before prescriptions were electronically sent to outpatient pharmacies. During the pilot, prescriptions were reviewed Monday-Friday afternoons from 12pm-4pm. Data was collected on incidence, type, and acceptance rate of pharmacist interventions, and a cost savings analysis was conducted with values calculated by the EHR system. Results. There were 149 patients included with oral antibiotic prescriptions reviewed during the time frame. Of those patients, 48 (32.2%) had at least one prescription that was intervened on by a pharmacist. A total of 55 interventions were made with an acceptance rate of 76%. The median time for pharmacist review was 10 minutes (IQR 5-15). Patients who received infectious diseases (ID) consultation during admission required less intervention than patients without expert consultation but did not reach significance (8/35 and 47/114 respectively, p=0.07). The total cost savings associated with all interventions was $20,743.00. Conclusion. Direct pharmacist review and intervention at discharge improved the prescribing of oral antibiotics within our institution during this pilot. Considering that this was conducted part-time in a subset of hospitalized patients during a limited time period, significant cost savings are possible with greater implementation.

2.
Open Forum Infectious Diseases ; 8(SUPPL 1):S244, 2021.
Article in English | EMBASE | ID: covidwho-1746716

ABSTRACT

Background. The rate of bacterial co-infection in inpatients with COVID-19 is unknown, however, patients who are hospitalized with COVID-19 often receive antibiotics for community-acquired bacterial pneumonia (CABP). Reducing unnecessary antibiotic usage in this population is important to prevent adverse effects and slow the development of antimicrobial resistance. Methods. We performed a retrospective chart review on patients admitted to our health system between March and May 2020 with confirmed COVID-19 by nasopharyngeal PCR. We reviewed patients with positive cultures from urine, blood, sputum, and sterile sites. Positive cultures were reviewed to determine if they represented a true infection versus a contaminant or colonization. Patients with true infections were categorized as having a co-infection (CI) if the positive culture was collected within 48 hours of initial positive SARS-CoV-2 PCR test. Additional data was collected on patient demographics, types of infections, organisms grown, and antibiotic usage. Results. 902 patients were admitted with positive SARS-CoV-2 tests during the study period. Of these, 47 patients (5.2%) had a bacterial CI. Some patients had more than one CI, with 53 total CIs identified. The median age of patients with CI was 66 years old (39 - 90). Tables 1 and 2 describe patient characteristics and infections. A subgroup analysis on types of bacteria was done on the 20 patients with a respiratory CI, who accounted for 2.2% of all COVID-positive patients admitted during the study period. In these infections, Staphylococcus aureus, Streptococcus species, and Haemophilus influenzae were the most common organisms, accounting for 60%, 15%, and 10% infections, respectively. Conclusion. The overall rate of CIs in patients admitted with COVID-19 was low. Some of these CIs may represent an "incidentally positive" COVID-19 test if a patient presented with one infection and had asymptomatic carriage of SARS-CoV-2 when community prevalence was high. Further analysis is needed to evaluate specific risk factors for co-infection.

3.
Open Forum Infectious Diseases ; 8(SUPPL 1):S255-S256, 2021.
Article in English | EMBASE | ID: covidwho-1746697

ABSTRACT

Background. The rate of bacterial and fungal super-infections (SI) in inpatients with COVID-19 is unknown. In this study, we aimed to identify and describe patients that developed secondary infections while hospitalized with COVID-19. Methods. We performed a retrospective chart review on patients admitted to our health system between March and May 2020 with confirmed COVID-19 by nasopharyngeal PCR. We reviewed patients with positive cultures from urine, blood, sputum, and sterile sites. Patients with positive cultures had cases reviewed to determine if they represented a true infection, defined by CDC criteria. SIs were defined as infections that occurred at least 48 hours or longer after the initial positive SARSCoV-2 test. Additional data was collected on patient demographics, COVID-related therapies, types of infections, and outcomes. Results. 902 patients were admitted with COVID-19 during our study period. Of these, 52 patients (5.8%) developed a total of 82 SIs. Tables 1 and 2 describe patient and infection characteristics. Patients identified as having a SI were admitted for a median of 30 days;56% had mortality, and 39% of remaining patients were readmitted within 90 days. Conclusion. Overall, the rate of SIs in patients admitted with COVID-19 is low. These patients had a long length of stay, which may be either a cause of SI or an effect. Further analysis with matched COVID-positive control patients who do not develop SIs is needed to evaluate the risk of development of SIs in relation to presenting respiratory status, COVID-related therapies, and other patient-specific factors.

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