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Database - Alliance francophone pour l'accouchement respecté (AFAR)

Description of this bibliographical database (AFAR website)
Currently 3041 records
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https://afar.info/id=816

Created on : 29 Jun 2004
Modified on : 02 Dec 2007

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Bibliographical entry (without author) :

Prevention and Treatment of Nosocomial Sepsis in the NICU. Journal of Perinatology 2004;24:446-453.

Author(s) :

Clark R, Powers R, White R, Bloom B, Sanchez P, Benjamin DK.

Year of publication :

2004

URL(s) :

http://www.nature.com/cgi-taf/DynaPage.taf?file=/j…
http://abs/7211125a.html&dynoption

Résumé (français)  :

Abstract (English)  :

Nosocomial sepsis is a serious problem for neonates who are admitted for intensive care. It is associated with an increase in mortality, morbidity, and prolonged length of hospital stay. Thus, both the human and fiscal costs of these infections are high. Although the rate of nosocomial sepsis increases with the degree of both prematurity and low birth weight, no specific lab test has been shown to be very useful in improving our ability to predict who has a "real" blood-stream infection and, therefore, who needs to be treated with a full course of antibiotics. As a result, antibiotic use is double the rate of "proven" sepsis and we are facilitating the growth of resistant organisms in the neonatal intensive care unit. The purpose of this article is to describe simple changes in process, which when implemented, can reduce nosocomial infection rates in neonates and improve outcomes.

Sumário (português)  :

Comments :

Argument (français) :

Argument (English):

Argumento (português):

Keywords :

➡ infections ; evidence-based medicine/midwifery ; perinatal death rates ; morbidity

Author of this record :

Cécile Loup — 29 Jun 2004

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This database is managed by Alliance francophone pour l'accouchement respecté (AFAR, https://afar.info)
affiliated with Collectif interassociatif autour de la naissance (CIANE, https://ciane.net).
It is fed by the voluntary contributions of persons interested in the sharing of scientific data.
If you agree with this project, you can support us in several ways:
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