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

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 studie...

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Autores principales: El Maaroufi, Hicham, Goubard, Agathe, Redjoul, Rabah, Legrand, Patrick, Pautas, Cécile, Mikdame, Mohamed, Doghmi, Kamal, Toma, Andréa, Maury, Sébastien, Schwarzinger, Michael, Cordonnier, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436445/
https://www.ncbi.nlm.nih.gov/pubmed/26075276
http://dx.doi.org/10.1155/2015/945769
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author El Maaroufi, Hicham
Goubard, Agathe
Redjoul, Rabah
Legrand, Patrick
Pautas, Cécile
Mikdame, Mohamed
Doghmi, Kamal
Toma, Andréa
Maury, Sébastien
Schwarzinger, Michael
Cordonnier, Catherine
author_facet El Maaroufi, Hicham
Goubard, Agathe
Redjoul, Rabah
Legrand, Patrick
Pautas, Cécile
Mikdame, Mohamed
Doghmi, Kamal
Toma, Andréa
Maury, Sébastien
Schwarzinger, Michael
Cordonnier, Catherine
author_sort El Maaroufi, Hicham
collection PubMed
description 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 (P < 0.05). 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 (P < 0.05). Three risk factors were independently associated with cefepime-resistance: acute lymphoblastic leukaemia; ≥18 days since hospital admission; and receipt of any β-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.
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spelling pubmed-44364452015-06-14 Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards El Maaroufi, Hicham Goubard, Agathe Redjoul, Rabah Legrand, Patrick Pautas, Cécile Mikdame, Mohamed Doghmi, Kamal Toma, Andréa Maury, Sébastien Schwarzinger, Michael Cordonnier, Catherine Biomed Res Int Research Article 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 (P < 0.05). 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 (P < 0.05). Three risk factors were independently associated with cefepime-resistance: acute lymphoblastic leukaemia; ≥18 days since hospital admission; and receipt of any β-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. Hindawi Publishing Corporation 2015 2015-05-05 /pmc/articles/PMC4436445/ /pubmed/26075276 http://dx.doi.org/10.1155/2015/945769 Text en Copyright © 2015 Hicham El Maaroufi et al. https://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Research Article
El Maaroufi, Hicham
Goubard, Agathe
Redjoul, Rabah
Legrand, Patrick
Pautas, Cécile
Mikdame, Mohamed
Doghmi, Kamal
Toma, Andréa
Maury, Sébastien
Schwarzinger, Michael
Cordonnier, Catherine
Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards
title Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards
title_full Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards
title_fullStr Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards
title_full_unstemmed Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards
title_short Risk Factors and Scoring System for Predicting Bacterial Resistance to Cefepime as Used Empirically in Haematology Wards
title_sort risk factors and scoring system for predicting bacterial resistance to cefepime as used empirically in haematology wards
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436445/
https://www.ncbi.nlm.nih.gov/pubmed/26075276
http://dx.doi.org/10.1155/2015/945769
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