Literature DB >> 9350186

Empirical and subsequent use of antibacterial agents in the febrile neutropenic patient.

B E De Pauw1, J M Raemaekers, T Schattenberg, J P Donnelly.   

Abstract

UNLABELLED: The objective of this analysis were an assessment of the feasibility of a more individually tailored approach of empirical antibiotic therapy in febrile neutropenia and an exploration of the reasons to modify the initial regimen. DESIGN, SETTING AND
SUBJECTS: The main source was a database on febrile neutropenic cancer patients from an unblinded large trial conducted in 35 centres world-wide. This was supplemented by data from patients enrolled in a consecutive series of randomized trials at the Department of Haematology, University Hospital Nijmegen.
INTERVENTIONS: Diagnostic procedures were standardized, types of possible infections defined and the reasons for modifying an empirical regimen were recorded. MAIN OUTCOME MEASURES: Survival of the febrile neutropenic episode, development of microbiologically and clinically defined infection in relation to causative organisms, and results of modification.
RESULTS: Monotherapy was as effective as combination therapy with an overall mortality of < or = 7%, with 21% of neutropenic episodes accompanied by a clinically defined infection proving fatal compared with only 4% of episodes without a focus. At the end of treatment the empirical regimen had been added to in 60% of cases in the multicentre trial, in contrast to 39% in our own institution, in many cases simply because of continuing fever.
CONCLUSION: The development of local guidelines for individually tailoring antibiotic therapy by complementing the empirical regimen is a feasible option for achieving an optimal anti-infective strategy for febrile neutropenic cancer patients.

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Year:  1997        PMID: 9350186

Source DB:  PubMed          Journal:  J Intern Med Suppl        ISSN: 0955-7873


  2 in total

Review 1.  Empirical antibiotics targeting gram-positive bacteria for the treatment of febrile neutropenic patients with cancer.

Authors:  Ofrat Beyar-Katz; Yaakov Dickstein; Sara Borok; Liat Vidal; Leonard Leibovici; Mical Paul
Journal:  Cochrane Database Syst Rev       Date:  2017-06-03

2.  Infection Probability Score, APACHE II and KARNOFSKY scoring systems as predictors of bloodstream infection onset in hematology-oncology patients.

Authors:  Eleni Apostolopoulou; Vasilios Raftopoulos; Konstantinos Terzis; Ioannis Elefsiniotis
Journal:  BMC Infect Dis       Date:  2010-05-26       Impact factor: 3.090

  2 in total

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