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Predictors of antibiotic prescription for upper respiratory infections in cancer patients

Published online by Cambridge University Press:  27 October 2025

Hyeon Mu Jang*
Affiliation:
Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Aida Boumiza
Affiliation:
Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
I-Hsin Lin
Affiliation:
Biostatistics Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Krishna Shah
Affiliation:
Department of Pharmacy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Melvili Cintron
Affiliation:
Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Jibran Majeed
Affiliation:
Advanced Practice and Patient Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Jeffrey Groeger
Affiliation:
Emergency Care Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA Department of Medicine, Weill Cornell Medical College, New York, NY, USA
Nina Cohen
Affiliation:
Department of Pharmacy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Susan K. Seo*
Affiliation:
Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA Department of Medicine, Weill Cornell Medical College, New York, NY, USA
*
Corresponding authors: Hyeon Mu Jang; Email: hyeonmujangid@gmail.com; Susan K. Seo; Email: seos@mskcc.org
Corresponding authors: Hyeon Mu Jang; Email: hyeonmujangid@gmail.com; Susan K. Seo; Email: seos@mskcc.org

Abstract

Background:

Limited data regarding predictors of antibiotic prescription for acute upper respiratory infections (URI) are available for ambulatory patients with cancer.

Methods:

Adult cancer patients with URI who presented to the Urgent Care Center or Symptom Care Clinic (SCC) and had a respiratory pathogen panel (RPP) between September 1, 2019 and March 11, 2020, were evaluated. Patients were dichotomized by receipt of antibiotic prescription (yes vs no). Demographics, cancer treatment, URI characteristics, and URI management were compared by Student’s t test or Mann–Whitney U test and χ2 or Fisher’s exact test as appropriate. Logistic regression was performed to evaluate predictors of antibiotic prescription.

Results:

Of 552 patients, 384 (69.6%) received cancer treatment within 30 days of the URI, and 377 (68.3%) had a positive RPP result. Antibiotics were prescribed in 156 (28.3%) patients, and 26/156 (16.7%) were appropriate. Multivariate logistic regression showed that predictors of antibiotic prescribing included SCC visit location (odds ratio (OR) 2.09, 95% confidence interval (CI) 1.30–3.38), symptom duration >7 days (OR 2.29, 95% CI 1.26 – 4.17), earache (OR 9.30, 95% CI 3.47 – 24.93), sinus symptoms (OR 2.64, 95% CI 1.53 – 4.56), negative RPP result (OR 1.88, 95% CI 1.18 – 2.98), and negative RPP result for influenza (OR 3.31, 95% CI 1.53 – 7.16).

Conclusions:

Almost one-third of outpatients at a single cancer center were prescribed antibiotics for URI with only 16.7% being appropriate. Getting real-time RPP results can be helpful to optimize antibiotic prescribing. Understanding risk factors for antibiotic prescribing in ambulatory cancer patients with URI may better direct antimicrobial stewardship efforts.

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), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Patient characteristics by antibiotic prescription status

Figure 1

Figure 1. Distribution of visits for upper respiratory infection by month.

Figure 2

Figure 2. Respiratory pathogen panel results.

Figure 3

Table 2. Visit and URI characteristics by antibiotic prescription status

Figure 4

Table 3. Upper respiratory infection management by antibiotic prescription status

Figure 5

Table 4. URI-related interventions performed during the follow-up encounter

Figure 6

Table 5. Univariate and multivariate models for predictors of antibiotic prescription