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185 Stroke and COVID Population: A Health Equity Analysis
- Ethan Assefa, Esau Hutcherson, Suliah Apatira, Dahnielle Milton, Rehan Javaid, Don Brown, Suchetha Sharma, Johanna Loomba
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- Journal:
- Journal of Clinical and Translational Science / Volume 6 / Issue s1 / April 2022
- Published online by Cambridge University Press:
- 19 April 2022, p. 25
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OBJECTIVES/GOALS: Observational studies suggest unequal effects of COVID-19 on the population of the U.S. distinguished by race and ethnicity. Our primary research question: what are the demographic differences among patients identified with concurrent ischemic stroke and COVID-19 positivity? METHODS/STUDY POPULATION: The National Covid Cohort Collaboration (N3C) data was used to identify patients with concurrent COVID-19 and stroke, operationally defined as those with a COVID diagnosis and inpatient admission for ischemic stroke 1 week before or 6 weeks after their COVID diagnosis. The data was further age restricted (18-65 years) and a categorical variable was created representing payer plans (Medicaid, Medicare, Other insurance). Data on patients race/ethnicity, comorbidities, treatments administered (Remdesivir and ECMO) and insurance information was analyzed using various exploratory data methods and visualizations. Logistic regression was implemented to model the relationship between variables (dependent/independent) in the cohorts. Model complexity was analyzed using the F test of significance. RESULTS/ANTICIPATED RESULTS: Taken as a whole, the data contained over 7 billion rows and around 6.4 million persons (~ 2.15 million of whom were COVID+). The main cohort of individuals with concurrent COVID positivity and ischemic stroke made up around 0.29% of the original COVID+ group, and the payer plan sub-cohort consists of around 29.26% of our main cohort. Black/African American (AA) and the Hispanic/Latino any Race have younger distributions (median ~ 65 years), while the White Non-Hispanic group has the oldest distribution (median ~ 70 years). Black/AA had the highest average number of comorbidities per patient (4.49), compared to white non-Hispanic (3.39) and Asian non-Hispanic (2.59). In our analysis, Medicaid patients had lower odds of obtaining ECMO (p < .01), there was no significant difference in Remdesivir treatment. DISCUSSION/SIGNIFICANCE: We found the N3C data to be useful in studying a distinct group of patients, and exploring COVID-19 and ischemic stroke treatment across patients’ race/ethnicity identities and insurance status. Our exploratory analysis provides a foundation for further insight into demographic trends and discrepancies in apportionment of treatment.
Admission Screening for Clostridium difficile Infection (CDI) in Bone Marrow Transplant Populations
- Jessica Tarabay, Marie Ayers, Tanushree Soni, Amelia Langston, Emily Bracewell, Christina Bell, Maria Crain, Don Hutcherson, Mitzy Smiley
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 41 / Issue S1 / October 2020
- Published online by Cambridge University Press:
- 02 November 2020, p. s113
- Print publication:
- October 2020
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Background:Clostridium difficile infection (CDI) is the most common healthcare-associated infection (HAI) and is often associated with increased medical costs and longer lengths of hospital stay. Previous studies have highlighted that hematopoietic stem cell transplant (HSCT) recipients are at an increased risk for CDI of up to 33% from other hospitalized patients. Studies have also supported the prevalence of asymptomatic colonization with C. difficile among HSCT patients. Asymptomatic colonization with C. difficile is a significant risk factor for transmission of infection to other patients developing hospital onset (HO-CDI). Therefore, targeted infection prevention efforts, such as early identification of patients with community-onset (CO-CDI) and patients with asymptomatic colonization with CDI in HSCT patients, may be effective in reducing the occurrence of HO-CDI. We discuss the CDI admission screening protocol in Emory University Hospital’s (EUH) bone marrow transplant (BMT) unit. Methods: As part of an infection prevention initiative, a CDI screening protocol was implemented in December 2018 for all patients that admitted to the EUH inpatient BMT unit. Upon admission, patients were screened for CO-CDI symptoms, specifically loose or unformed stools. A C. difficile toxin assay PCR would be collected within the first 3 calendar days of admission for all patients screened. Patients with symptoms were placed on isolation precautions pending results of the C. difficile toxin assay. If a patient had a positive C. difficile toxin assay result, isolation precautions would be maintained for the duration of hospitalization regardless of symptoms. Patients who are were unable to produce a stool specimen on the first 3 days of admission were excluded from the screening protocol. Patients with positive C. difficile toxin assay PCRs were classified as CO-CDI and were treated. Results: Since implementation of the CDI screening protocol, 109 CDI events were identified from January 2019 to October 2019. Moreover, 79% of positive C. difficile toxin assays were collected within the first 3 calendar days of admission. HO-CDI has decreased from 78% in 2018 to 21% during the designated time frame. Conclusions: CDI screening upon admission of BMT populations has shown a decrease among HO-CDI by early identification of CO-CDI and CO asymptomatic colonization with C. difficile. This early identification has allowed rapid implementation of infection preventions precautions, thus reducing risk of unit-based transmission.
Funding: None
Disclosures: None