Title |
The impact of antimicrobial allergy labels on antimicrobial usage in cancer patients
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Published in |
Antimicrobial Resistance & Infection Control, June 2015
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DOI | 10.1186/s13756-015-0063-6 |
Pubmed ID | |
Authors |
Jason A. Trubiano, Vivian K. Leung, Man Y. Chu, Leon J. Worth, Monica A. Slavin, Karin A. Thursky |
Abstract |
Antibiotic allergy labels are associated with sub-optimal prescribing patterns and poorer clinical outcomes in non-cancer populations, but the effect of labelling on antimicrobial usage in patients with cancer is unknown. A retrospective review of hospitalized patients admitted to the Peter MacCallum Cancer Centre (2010-2012) identified 23 % of cancer patients (n = 198) with an antimicrobial allergy label (AA). Comparison of those with an antimicrobial allergy label to those without demonstrated increased antibiotic use per admission (3 vs. 2, p = 0.01), increased fluoroquinolone use (11 % vs. 6 %, p < 0.05), increased antibiotic course duration (15 vs. 13 days, p = 0.09), higher readmission rates (53 % vs. 28 %, p < 0.001) and poorer concordance with prescribing guidelines (47 % vs. 91 %, p < 0.001). Patients in the AA group on multivariate analysis had a higher number of antibiotics employed, longer duration of antibiotic therapy and higher rate of readmission. Antimicrobial usage, including the use of restricted antibiotics, is higher in patients with cancer. Antibiotic de-labelling strategies in cancer patients must be evaluated to aid antimicrobial stewardship initiatives. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 25% |
United States | 2 | 25% |
United Kingdom | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 15% |
Other | 5 | 13% |
Student > Postgraduate | 4 | 10% |
Professor > Associate Professor | 4 | 10% |
Student > Ph. D. Student | 3 | 8% |
Other | 5 | 13% |
Unknown | 13 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 30% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 18% |
Veterinary Science and Veterinary Medicine | 1 | 3% |
Mathematics | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 2 | 5% |
Unknown | 16 | 40% |