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  Poster Hall

Sun-1 - Readmission Rates Following Co-Administration of Tetracycline or Fluroquinolone antibiotics with Divalent and Trivalent Cations In Hospitalized Patients

Scientific Poster Session II - Students Research-in-Progress

Students Research in Progress
  Sunday, October 13, 2024
  12:45 PM–02:15 PM

Abstract

Introduction: Fluoroquinolones and tetracycline antibiotics are known to bind with divalent and trivalent cations. Two studies found that antacid coadministration with fluoroquinolones and tetracyclines led to an 85% decrease in bioavailability. Reduced AUC leads to decreased therapeutic effect of these antibiotics, which could lead to treatment failure and readmission. The manufacturers advise that administration of these products is separated by multiple hours, though this interaction is often overlooked by healthcare providers. There is minimal literature addressing the frequency of this interaction in the hospital setting and its potential contribution to treatment failure and readmission.

Research Question or Hypothesis: To identify the frequency of co-administration of fluoroquinolones and tetracyclines with cation-containing compounds and the impact on readmission outcomes in an inpatient setting.

Study Design: This is a retrospective chart review of adult patients admitted to a large academic center between January 1, 2024, and June 30, 2024, designed to identify the frequency of coadministration of fluoroquinolone and tetracycline antibiotics with cation-containing compounds. The study includes patients that received at least one dose of ciprofloxacin, moxifloxacin, levofloxacin, tetracycline, doxycycline, or minocycline concomitantly with a divalent or trivalent cation during admission. Included cations are magnesium, calcium, iron, sucralfate, or multivitamins. Data obtained will include patient demographics, reason for admission, scheduled medication timing, time medications were administered, and readmission status within 90 days.

Methods: Data will be obtained retrospectively from the IU Health system database, Cerner. Descriptive statistics will be used to analyze baseline demographics. The outcome of frequency of coadministration will be assessed using logistic regression to analyze what factors contribute to increased co-administration of these medications. Readmissions will be analyzed using a Chi square test.

Results: Results reported will reflect the outcomes described above.

Conclusion: These study results could be utilized to create a pharmacy-based procedure at this health system to avoid the drug interaction between fluoroquinolones/tetracyclines and cation-containing compounds.

Presenting Author

Anna Greathouse PharmD Candidate
Butler Unviersity

Authors

Abigail Conrad PharmD
Indiana University Health Adult Academic Health Center

Lauren Czosnowski PharmD
Butler University

Jon Gluth PharmD Candidate
Butler University

Philip K. King PharmD, BCPS
Summa Health, Akron City Hospital