Document Detail


A clinic-biological score for diagnosing early-onset neonatal infection in critically ill preterm infants.
MedLine Citation:
PMID:  20495505     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVE: : To identify the best combination of serum cytokines and clinical parameters to diagnose rapidly early-onset neonatal infection (EONI) in critically ill preterm infants. At birth, most critically ill neonates are receiving broad-spectrum antibiotics pending bacterial culture results, because distinguishing infected from noninfected infants at birth is difficult.
DESIGN: : Prospective study.
SETTING: : Neonatal intensive care unit in a tertiary care hospital.
PATIENTS: : Two hundred thirteen infants, born before 33 wks' gestation, admitted to the neonatal intensive care unit within 6 hrs of life with a presumptive diagnosis of EONI.
INTERVENTION: : A presumptive diagnosis of EONI was associated with a 300-μL blood sample to measure six cytokine (interleukin [IL]-1β, IL-6, IL-8, IL-10, IL-12, tumor necrosis factor-α) concentrations, using the cytometric bead array technique.
MEASUREMENTS AND MAIN RESULTS: : Of the 213 infants included, 31 had a definite or possible EONI and 182 were not infected. Concentrations of IL-6, IL-8, and IL-10 were significantly increased in infected neonates, in comparison with infants without EONI. In contrast, IL-1β, IL-12, and tumor necrosis factor-α concentrations were not. Logistic regression analyses were performed to construct multivariate predictive models that could distinguish infected from noninfected infants at birth. A clinical score was based on three parameters independently associated with EONI (i.e., interval of >12 hrs between the membranes rupture and delivery, prenatal maternal colonization and mechanical ventilation at birth). This score was compared with scores including clinical parameters and serum cytokines, alone or in combination. The best predictive model combined the three clinical parameters, IL-6 (positive threshold, 300 pg/mL) and IL-8 (positive threshold, 300 pg/mL) concentrations.
CONCLUSION: : A predictive model combining serum IL-6 and IL-8 measurements and selected clinical variables could distinguish infected from noninfected preterm infants at birth and should help the clinician in reducing or shortening the unnecessary use of antibiotics.
Authors:
Marc Labenne; Gérard Lizard; Cyril Ferdynus; Thierry Montange; Silvia Iacobelli; Francesco Bonsante; Jean-Bernard Gouyon
Related Documents :
8685765 - Fatal disseminated herpes simplex in pregnancy with maternal and neonatal death.
15046275 - Disinfection with 10% povidone-iodine versus 0.5% chlorhexidine gluconate in 70% isopro...
15368875 - Maternal chronic infection as a risk factor in preterm low birth weight infants: the li...
6302455 - Neonatal systemic candidiasis treated with miconazole and ketoconazole.
11198065 - Can poor countries surmount high maternal mortality?
25320275 - The salivary scavenger and agglutinin in early life: diverse roles in amniotic fluid an...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies     Volume:  12     ISSN:  1529-7535     ISO Abbreviation:  Pediatr Crit Care Med     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-06-07     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100954653     Medline TA:  Pediatr Crit Care Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  203-9     Citation Subset:  IM    
Affiliation:
From the Service de Pédiatrie 2 (ML, SI, FB, J-BG), Centre d'Épidémiologie des Populations EA 4184 (CF), Centre Hospitalier Universitaire de Dijon, Dijon, France; Centre d'Investigation Clinique P803 (ML, J-BG), Dijon, France; and CR INSERM 866 (GL, TM), Faculté des Sciences Gabriel, Dijon, France.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Outcomes of hematopoietic stem cell transplant patients who received continuous renal replacement th...
Next Document:  How certain are you, doctor?