Literature DB >> 11053790

Prediction of neutropenia.

K V Rolston1.   

Abstract

Newer treatment strategies for the management of febrile neutropenic patients are being developed. These include: (a) hospital based oral therapy; (b) early discharge after initial stabilization in-hospital, and (c) out-patient therapy. All strategies are likely to be more successful in patients with short-lived neutropenia (< or = 7 days) than in those with more prolonged neutropenia. Although risk-prediction rules and clinical criteria can help clinicians identify 'low-risk' neutropenic patients, the overall ability of clinicians to accurately predict the subsequent duration of neutropenia once a neutropenic patient becomes febrile needs to be improved upon considerably. One attempt to do so is the survey being conducted by the Infection Study Section of the Multinational Association of Supportive Care in Cancer (MASCC). Development of an accurate rule for the prediction of neutropenia will enable more appropriate, risk-based therapy to be administered to febrile neutropenic patients, and will represent a significant advance in the management of such patients.

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Year:  2000        PMID: 11053790     DOI: 10.1016/s0924-8579(00)00215-6

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  2 in total

1.  Neutropenia Prediction Based on First-Cycle Blood Counts Using a FOS-3NN Classifier.

Authors:  Elize A Shirdel; Michael J Korenberg; Yolanda Madarnas
Journal:  Adv Bioinformatics       Date:  2012-02-20

2.  Early and late complications related to central venous catheters in hematological malignancies: a retrospective analysis of 1102 patients.

Authors:  Salvatore Giacomo Morano; Lorenzo Coppola; Roberto Latagliata; Paola Berneschi; Antonio Chistolini; Alessandra Micozzi; Corrado Girmenia; Massimo Breccia; Gregorio Brunetti; Fulvio Massaro; Giovanni Rosa; Pietro Guerrisi; Franco Mandelli; Roberto Foà; Giuliana Alimena
Journal:  Mediterr J Hematol Infect Dis       Date:  2014-02-14       Impact factor: 2.576

  2 in total

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