Literature DB >> 20653357

Effectiveness of exogenous albumin administration for the prevention of ifosfamide-induced encephalopathy.

Jacob K Kettle1, Dennis Grauer, Tanya L Folker, Nyla O'Neal, David W Henry, Casey B Williams.   

Abstract

STUDY
OBJECTIVES: To assess the effectiveness of prophylactic albumin for the prevention of ifosfamide-induced encephalopathy (IIE), and to describe risk factors for IIE and investigate the predictive potential of a novel risk-stratification model for IIE.
DESIGN: Retrospective analysis.
SETTING: Single academic medical center. PATIENTS: Forty-one adults who received 93 chemotherapy cycles of regimens that included ifosfamide for the treatment of hematologic or solid tumor malignancy between November 2007 and November 2008. Patients were divided into two groups based on the use of albumin for IIE prophylaxis: albumin group (32 cycles) and no albumin group (61 cycles).
MEASUREMENTS AND MAIN RESULTS: Overall occurrence of neurotoxicity during therapy served as the primary outcome measure. Proposed risk factors for IIE were assessed by conducting a subgroup analysis of patients who did and those who did not experience IIE. A novel risk-stratification model was developed in an attempt to predict patients at risk for IIE. The validity of the scheme was assessed by comparing the occurrence of IIE among high- and low-risk patients as identified by the model. Overall, among the 93 cycles, six cases of IIE (6.5%) were identified. The occurrence of IIE was more common in the albumin group compared with the no albumin group (15.6% [5/32] vs 1.6% [1/61], p=0.01). Baseline albumin level was significantly lower, and serum creatinine and aspartate and alanine aminotransferase concentrations were significantly higher among patients experiencing IIE. All cases of IIE occurred among patients identified as high risk according to the risk-stratification model (p=0.01).
CONCLUSION: Prophylactic therapy with exogenous albumin is not an effective strategy for the prevention of IIE. The novel risk-stratification model appears to be an effective method for predicting patients with the greatest potential for developing this adverse effect.

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Year:  2010        PMID: 20653357     DOI: 10.1592/phco.30.8.812

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  3 in total

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  3 in total

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