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Featured researches published by Evelien Verstraete.


Pediatrics | 2015

Prediction models for neonatal health care-associated sepsis: a meta-analysis.

Evelien Verstraete; Koen Blot; Ludo Mahieu; Dirk Vogelaers; Stijn Blot

BACKGROUND AND OBJECTIVES: Blood culture is the gold standard to diagnose bloodstream infection but is usually time-consuming. Prediction models aim to facilitate early preliminary diagnosis and treatment. We systematically reviewed prediction models for health care–associated bloodstream infection (HABSI) in neonates, identified superior models, and pooled clinical predictors. Data sources: LibHub, PubMed, and Web of Science. METHODS: The studies included designed prediction models for laboratory-confirmed HABSI or sepsis. The target population was a consecutive series of neonates with suspicion of sepsis hospitalized for ≥48 hours. Clinical predictors had to be recorded at time of or before culturing. Methodologic quality of the studies was assessed. Data extracted included population characteristics, total suspected and laboratory-confirmed episodes and definition, clinical parameter definitions and odds ratios, and diagnostic accuracy parameters. RESULTS: The systematic search revealed 9 articles with 12 prediction models representing 1295 suspected and 434 laboratory-confirmed sepsis episodes. Models exhibit moderate-good methodologic quality, large pretest probability range, and insufficient diagnostic accuracy. Random effects meta-analysis showed that lethargy, pallor/mottling, total parenteral nutrition, lipid infusion, and postnatal corticosteroids were predictive for HABSI. Post hoc analysis with low-gestational-age neonates demonstrated that apnea/bradycardia, lethargy, pallor/mottling, and poor peripheral perfusion were predictive for HABSI. Limitations include clinical and statistical heterogeneity. CONCLUSIONS: Prediction models should be considered as guidance rather than an absolute indicator because they all have limited diagnostic accuracy. Lethargy and pallor and/or mottling for all neonates as well as apnea and/or bradycardia and poor peripheral perfusion for very low birth weight neonates are the most powerful clinical signs. However, the clinical context of the neonate should always be considered.


Pediatric Infectious Disease Journal | 2015

Risk factors for health care-associated sepsis in critically Ill neonates stratified by birth weight

Evelien Verstraete; Kris De Coen; Dirk Vogelaers; Stijn Blot

Background: Health care–associated bloodstream infection (HABSI) is a frequent complication in neonatal intensive care. Research on risk factors stratified by birth weight and adjusted for severity of illness and comorbidities is limited. Our objective is to describe independent risk factors for HABSI in critically ill neonates with emphasis on risk variation between birth weight groups. Methods: We performed a single-center historical cohort study in a tertiary referral center. A neonatal intensive care-audit system was used to identify eligible neonates admitted for ≥72 hours (2002–2011). HABSI is defined according to National Institute of Child Health and Human Development criteria. Risk factors for HABSI were assessed by univariate and logistic regression analysis for the total cohort and for birth weight subgroups, that is, neonates ⩽1500 g and >1500 g. Results: A total of 342 neonates developed HABSI in 5134 admissions of ≥72 hours (6.7%). Very low birth weight, total parenteral nutrition (TPN), mechanical ventilation, gastrointestinal disease, surgery (cardiac and other type), and renal insufficiency are independent risk factors for the total cohort. Gastrointestinal disease and cardiac surgery are independent risk factors in both birth weight groups; mechanical ventilation (odds ratio [OR]: 2.6; confidence interval [CI]: 1.6–4.0) and other type of surgery (OR: 4.3; CI: 2.1–8.8) are solely independent risk factors in the ⩽1500-g cohort; TPN is exclusively an independent risk factor (OR: 7.9; CI: 3.9–16.2) in the >1500-g cohort. Conclusions: In our neonatal intensive care unit, risk stratification by birth weight revealed some difference. Special attention concerning infection control practices is for neonates receiving TPN, mechanical ventilation, cardiac surgery, and with a gastrointestinal disease.


Intensive Care Medicine Experimental | 2015

Clinical utility of repeated blood culture sampling in critically ILL neonates

Evelien Verstraete; Ludo Mahieu; Jd' Haese; K De Coen; Jerina Boelens; Dirk Vogelaers; Stijn Blot

Repeated blood culture sampling is common in critically ill neonates though precise indications are unknown.


Facts, views & vision in obgyn | 2013

Pelvic girdle pain during or after pregnancy: a review of recent evidence and a clinical care path proposal

Evelien Verstraete; Guy Vanderstraeten; W. Parewijck


European Journal of Pediatrics | 2016

Impact of healthcare-associated sepsis on mortality in critically ill infants

Evelien Verstraete; Ludo Mahieu; Kris De Coen; Dirk Vogelaers; Stijn Blot


European Journal of Physical and Rehabilitation Medicine | 2017

A biopsychosocial care profile for pelvic girdle pain

Evelien Verstraete; Stijn Blot


European Journal of Pediatrics | 2018

Blood culture indications in critically ill neonates: a multicenter prospective cohort study

Evelien Verstraete; Ludo Mahieu; James d’Haese; Kris De Coen; Jerina Boelens; Dirk Vogelaers; Stijn Blot


Archive | 2016

Epidemiology of healthcare-associated bloodstream infections in the neonatal intensive care unit of Ghent University Hospital

Evelien Verstraete


26th Annual meeting of the European Society of Pediatric and Neonatal Intensive Care (ESPNIC) | 2015

Prediction of healthcare-associated bloodstream infection in critically ill neonates

Evelien Verstraete; Ludo Mahieu; James D'haese; Kris De Coen; Jerina Boelens; Dirk Vogelaers; Stijn Blot


26th Annual meeting of the European Society of Pediatric and Neonatal Intensive Care (ESPNIC) | 2015

Risk factors for healthcare-associated bloodstream infections in neonates stratified by birth-weight

Evelien Verstraete; Kris De Coen; Dirk Vogelaers; Stijn Blot

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Dirk Vogelaers

Ghent University Hospital

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Kris De Coen

Ghent University Hospital

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Jerina Boelens

Ghent University Hospital

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Geert Claeys

Ghent University Hospital

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K De Coen

Ghent University Hospital

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