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BioMed Research International
Volume 2015, Article ID 945769, 8 pages
Research Article

Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards

1Assistance Publique-Hôpitaux de Paris (APHP), Haematology Department, Henri Mondor Hospital and Paris-Est-Créteil University, 94000 Créteil, France
2Haematology Department, Hôpital Militaire d’Instruction Mohamed V, Rabat, Morocco
3Microbiology Laboratory, Henri Mondor Hospital, 94000 Créteil, France
4Equipe ATIP/AVENIR, INSERM, UMR 738, 75018 Paris, France
5University Paris Diderot, Sorbonne Paris Cité, UMR 738, 75018 Paris, France

Received 24 January 2015; Accepted 4 April 2015

Academic Editor: Kurt G. Naber

Copyright © 2015 Hicham El Maaroufi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objectives. Bacterial resistance is of growing concern in haematology wards. As the inappropriate administration of empirical antibacterial may alter survival, we studied risk factors for resistance to our usual empirical first-line antibacterial therapy, cefepime. Methods. We retrospectively studied 103 first episodes of bacteraemia recorded in our haematology department over 2.5 years. Risk factors for cefepime-resistance were identified by multivariate logistic regression with backward selection (). A scoring system for predicting cefepime-resistance was built on independent factor, with an internal validation by the bootstrap resampling technique. Results. 38 (37%) episodes were due to Gram-negative bacteria. Fifty (49%) were due to bacteria resistant to cefepime. Cefepime resistance was significantly associated with a decreased survival at day 30 (). Three risk factors were independently associated with cefepime-resistance: acute lymphoblastic leukaemia; ≥18 days since hospital admission; and receipt of any -lactam in the last month. Patients with ≥2 of these risk factors had a probability of 86% (CI 95%, 25 to 100%) to carry a cefepime-resistant strain. Conclusion. Using our scoring system should reduce the indication of very broad antibacterial regimens in the empirical, first-line treatment of febrile hematology patients in more than 80% of the cases.