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14th ICID - Poster Abstracts - International Society for Infectious ...

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When citing these abstracts please use the following reference:<br />

Author(s) of abstract. Title of abstract [abstract]. Int J Infect Dis 2010;14S1: Abstract number.<br />

Please note that the official publication of the <strong>International</strong> Journal of <strong>Infectious</strong> Diseases 2010, Volume 14, Supplement 1<br />

is available electronically on http://www.sciencedirect.com<br />

Final Abstract Number: 80.008<br />

Session: Pediatric and Perinatal Infections<br />

Date: Friday, March 12, 2010<br />

Time: 12:30-13:30<br />

Room: <strong>Poster</strong> & Exhibition Area/Ground Level<br />

Type: <strong>Poster</strong> Presentation<br />

Clinical features predicting mortality (M) in high risk febrile neutropenic cancer children (HR-<br />

NTPCH) at Hospital de Niños Ricardo Gutiérrez (HNRG), Argentina<br />

N. Rivas, A. Viña, G. Yerino, C. Ceccoli, F. Plat, C. Hascalovici, E. L. Lopez<br />

Hospital de Niños "Ricardo Gutiérrez", Buenos Aires, Argentina<br />

Background: Mortality is the major concern in HR NTPCH. To detect associated factors on<br />

admission and during hospitalization is important to decrease it<br />

The objective was to identify clinical (c) and microbiological (m) factors predicting M in HR-<br />

NTPCH<br />

Methods: Prospective cohort study from 1/02 to 12/07 at HNRG. HR-NTPCH were defined<br />

according to IDSA criteria. Exclusion: All NTPCH that did not fullfied the HR criteria. Endpoint:<br />

Mortality . Predictive factors assessed <strong>for</strong> M: hospitalization in last 10 days (PH), underlying<br />

disease (UD), fever (F) and clinical focus in admission (CF), bacteremia (B), sepsis(S), positive<br />

culture (PC) and polimicrobial isolations (PI), intensity(IN) and duration of neutropenia (DN),<br />

duration of fever (DF), days of hospitalization (HD) and nosocomial infection. Demographic data<br />

were also analized. Chi 2 and Mann-Whithney test were used in the univariate analysis. All<br />

factors with p

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