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Reducing empiric piperacillin-tazobactam use for patients with community-acquired intra-abdominal infections

Published online by Cambridge University Press:  28 April 2026

Claire Wilson
Affiliation:
Mayo Clinic in Florida, USA
Kevin Epps
Affiliation:
Mayo Clinic in Florida, USA
Courney Willis
Affiliation:
Mayo Clinic in Florida, USA
Julio Mendez
Affiliation:
Mayo Clinic in Florida, USA
Joseph Kim
Affiliation:
Mayo Clinic in Florida, USA
Jesse St. Clair
Affiliation:
Mayo Clinic in Florida, USA
J. Colt Cowdell*
Affiliation:
Mayo Clinic in Florida, USA
*
Corresponding author: J. Colt Cowdell; Email: cowdell.jed@mayo.edu

Abstract

Objectives:

Community-acquired intra-abdominal infections (CA-IAIs) are a leading cause of US hospitalizations. Piperacillin-tazobactam is often used to empirically treat CA-IAIs, despite national guidelines recommending narrower-spectrum antibiotics for these infections. The overuse of broad-spectrum agents such as piperacillin-tazobactam contributes to antibiotic resistance, which poses serious public health challenges. This resident-led quality improvement initiative aimed to reduce unnecessary piperacillin-tazobactam use for treating CA-IAIs measured as DOT/1,000 patient-days by 10% without adversely affecting hospital length of stay (LOS).

Methods:

Using the DMAIC (define, measure, analyze, improve, control) framework, we identified barriers to appropriate antibiotic use and developed a treatment algorithm for CA-IAIs that included clear guidelines and exclusion criteria. This algorithm was disseminated to internal medicine residents and emergency department physicians along with educational sessions to highlight updated CA-IAI treatment recommendations, antibiotic resistance, and appropriate antibiotic ordering via the electronic health record. Antimicrobial stewardship pharmacists provided overnight support to assist with de-escalation. Data were collected over a 10-month period spanning 2 intervention phases. The primary outcome was piperacillin-tazobactam use, measured as days of therapy (DOT) per 1,000 patient-days and DOT per patient LOS. Mean LOS served as the balancing measure.

Results:

Piperacillin-tazobactam use was significantly reduced (P < .001) after the interventions without increasing the mean LOS.

Conclusion:

This project raised awareness of antibiotic resistance and led to lasting improvements in reducing the inappropriate use of piperacillin-tazobactam to treat CA-IAIs, without affecting the mean LOS. This was attributed to the strong collaboration among a multidisciplinary team of infectious disease physicians, antimicrobial stewardship team members, residents, emergency department physicians, and faculty.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Figure 1. Swimlane diagram for process mapping. Abx indicates antibiotic; ASP, antimicrobial stewardship pharmacist; ED, emergency department; IMED, internal medicine; IAI, intra-abdominal infection; micro lab, microbiology laboratory.

Figure 1

Figure 2. Algorithm of treatment guideline disseminated to resident teams. IV indicates intravenous; PCN, penicillin. aexclude patients with penicillin or cephalosporin-related severe cutaneous adverse reactions, Stevens-johnson syndrome/toxic epidermal necrolysis, drug reaction with eosinophilia and systemic symptoms, acute generalized exanthematous pustulosis, and generalized bullous fixed drug eruptions. Used with permission of Mayo Foundation for Medical Education and Research.

Figure 2

Figure 3. Piperacillin-tazobactam use for treating community-acquired intra-abdominal infections during the study period. For the line labeled “PipTazo DOT/1,000 patient-days,” each point represents the value for that month. The line labeled “Grouped” represents the mean values over the specified intervals. The change in control limits in February 2024 suggests a recalculated mean and limits due to a significant change in the data trend. DOT indicates days of therapy; LCL, lower confidence limit; PipTazo, piperacillin-tazobactam; UCL, upper confidence limit.

Figure 3

Figure 4. Significantly decreased piperacillin-tazobactam use after interventions. Values represent the mean DOT/LOS for each period. The red error bars represent the standard error of the mean. DOT indicates days of therapy; LOS, length of stay; PDSA, plan-do-study-act cycle. ***P < .001.