Literature DB >> 20398379

A prospective study of the sensitivity, specificity and diagnostic performance of soluble intercellular adhesion molecule 1, highly sensitive C-reactive protein, soluble E-selectin and serum amyloid A in the diagnosis of neonatal infection.

J David M Edgar1, Vanessa Gabriel, J Ruth Gallimore, Stanley A McMillan, Judith Grant.   

Abstract

BACKGROUND: Diagnosis of neonatal infection is difficult, because of it's non-specific clinical presentation and the lack of reliable diagnostic tests. The purpose of this study was to examine the potential diagnostic value of serum soluble intercellular adhesion molecule-1 (sICAM-1), soluble E-selectin (sE-selectin), highly sensitive C-reactive protein (hsCRP) and serum amyloid A (SAA) measurements, both individually and in combination in the setting of a neonatal intensive care unit.
METHODS: 219 consecutive serum samples were taken from 149 infants undergoing sepsis work up in a neonatal intensive care unit. Clinical diagnosis was established in a prospective manner, blind to the results of the study measurements. Infants were classified by an experienced paediatrician as infected or not-infected, one week after presentation. Classification was based on clinical presentation, routine laboratory and radiological investigations and response to therapy. The infected group were sub-classified as (a) culture positive infection or (b) culture negative infection. sICAM-1, sE-selectin, hsCRP and SAA levels were determined from stored serum samples after diagnosis was established. Further sub-group analysis of results was undertaken according to early or late onset of infection and preterm or term status. Statistical analysis utilised Mann Whitney U test and ROC curve analysis.
RESULTS: There were significantly increased serum levels of sICAM-1, hsCRP, E selectin (p < 0.001) and SAA (p = 0.004) in infected infants compared with non-infected. ROC curve analysis indicated area under the curve values of 0.79 (sICAM-1), 0.73 (hsCRP), 0.72 (sE-selectin) and 0.61 (SAA). ROC curve analysis also defined optimum diagnostic cut-off levels for each measurement. The performance characteristics of sICAM-1, hsCRP and sE-selectin included a high negative predictive value (NPV) for culture positive infection and this was enhanced by combination of all 4 measurements. Clinical subgroup analysis suggested particularly high NPV for early onset symptoms, however further studies are required to elucidate this finding.
CONCLUSIONS: All four study measurements demonstrated some diagnostic value for neonatal infection however sICAM-1, hsCRP and sE-selectin demonstrated the highest NPV individually. The optimum diagnostic cut off level for hsCRP measurement in this study was much lower than currently used in routine clinical practice. Use of a combination of measurements enhanced diagnostic performance, demonstrating sensitivity of 90.3% and NPV of 91.3%. This study suggests there may be value in use of several of these markers, individually and in combination to assist in excluding neonatal infection. Further work is needed to confirm a specific role in the exclusion of early onset infection.

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Year:  2010        PMID: 20398379      PMCID: PMC2868836          DOI: 10.1186/1471-2431-10-22

Source DB:  PubMed          Journal:  BMC Pediatr        ISSN: 1471-2431            Impact factor:   2.125


  11 in total

1.  A low serum sICAM-1 level may assist in the exclusion of neonatal infection.

Authors:  David Edgar; Vanessa Gabriel; Adam Craig; Darren Wheeler; Moira Thomas; Judith Grant
Journal:  Biol Neonate       Date:  2002

Review 2.  Diagnostic markers of infection in neonates.

Authors:  P C Ng
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2004-05       Impact factor: 5.747

3.  Clinical trials for evaluating diagnostic markers of infection in neonates.

Authors:  P C Ng
Journal:  Biol Neonate       Date:  2004-11-09

Review 4.  Biochemical markers of neonatal sepsis.

Authors:  Hugh S Lam; Pak C Ng
Journal:  Pathology       Date:  2008-02       Impact factor: 5.306

5.  Predictors of bacterial infection in neonates.

Authors:  D C Wilson; J D Edgar
Journal:  J Pediatr       Date:  1997-01       Impact factor: 4.406

6.  Infections in neonates delivered at term are associated with increased serum levels of ICAM-1 and E-selectin.

Authors:  R Austgulen; K J Arntzen; P E Haereid; S Aag; H Døllner
Journal:  Acta Paediatr       Date:  1997-03       Impact factor: 2.299

7.  Heart rate characteristics: novel physiomarkers to predict neonatal infection and death.

Authors:  M Pamela Griffin; Douglas E Lake; Eric A Bissonette; Frank E Harrell; T Michael O'Shea; J Randall Moorman
Journal:  Pediatrics       Date:  2005-11       Impact factor: 7.124

8.  C-reactive protein and bacterial infection in preterm infants.

Authors:  A Wasunna; A Whitelaw; R Gallimore; P N Hawkins; M B Pepys
Journal:  Eur J Pediatr       Date:  1990-03       Impact factor: 3.183

9.  Predictive value of soluble immunological mediators in neonatal infection.

Authors:  J D Edgar; D C Wilson; S A McMillan; A D Crockard; M I Halliday; K R Gardiner; B J Rowlands; H L Halliday; T A McNeill
Journal:  Clin Sci (Lond)       Date:  1994-08       Impact factor: 6.124

10.  Human serum amyloid A (SAA) and high sensitive C-reactive protein (hsCRP) in preterm newborn infants with nosocomial infections.

Authors:  A Lannergård; A Larsson; G Friman; U Ewald
Journal:  Acta Paediatr       Date:  2008-05-29       Impact factor: 2.299

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  23 in total

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Journal:  J Clin Immunol       Date:  2011-10-19       Impact factor: 8.317

2.  Evaluation of IL-6, CRP and hs-CRP as Early Markers of Neonatal Sepsis.

Authors:  Purushothaman Ganesan; Priyadarshini Shanmugam; Shameem Banu Abdul Sattar; Shenbaga Lalitha Shankar
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Review 3.  Diagnostics for neonatal sepsis: current approaches and future directions.

Authors:  Pui-Ying Iroh Tam; Catherine M Bendel
Journal:  Pediatr Res       Date:  2017-06-28       Impact factor: 3.756

4.  An integrated clinico-metabolomic model improves prediction of death in sepsis.

Authors:  Raymond J Langley; Ephraim L Tsalik; Jennifer C van Velkinburgh; Seth W Glickman; Brandon J Rice; Chunping Wang; Bo Chen; Lawrence Carin; Arturo Suarez; Robert P Mohney; Debra H Freeman; Mu Wang; Jinsam You; Jacob Wulff; J Will Thompson; M Arthur Moseley; Stephanie Reisinger; Brian T Edmonds; Brian Grinnell; David R Nelson; Darrell L Dinwiddie; Neil A Miller; Carol J Saunders; Sarah S Soden; Angela J Rogers; Lee Gazourian; Laura E Fredenburgh; Anthony F Massaro; Rebecca M Baron; Augustine M K Choi; G Ralph Corey; Geoffrey S Ginsburg; Charles B Cairns; Ronny M Otero; Vance G Fowler; Emanuel P Rivers; Christopher W Woods; Stephen F Kingsmore
Journal:  Sci Transl Med       Date:  2013-07-24       Impact factor: 17.956

5.  Distinct Biomarker Profiles Distinguish Malawian Children with Malarial and Non-malarial Sepsis.

Authors:  Teresa B Kortz; James Nyirenda; Dumizulu Tembo; Kristina Elfving; Kimberly Baltzell; Gama Bandawe; Philip J Rosenthal; Sarah B Macfarlane; Wilson Mandala; Tonney S Nyirenda
Journal:  Am J Trop Med Hyg       Date:  2019-12       Impact factor: 2.345

6.  Utility of cytokines to predict neonatal sepsis.

Authors:  Qing Ye; Li-Zhong Du; Wen-Xia Shao; Shi-Qiang Shang
Journal:  Pediatr Res       Date:  2016-12-20       Impact factor: 3.756

7.  Markers of endothelial cell activation in suspected late onset neonatal sepsis in Surinamese newborns: a pilot study.

Authors:  Niek B Achten; Matijs van Meurs; Rianne M Jongman; Amadu Juliana; Grietje Molema; Frans B Plötz; Rens Zonneveld
Journal:  Transl Pediatr       Date:  2019-12

8.  Flow cytometry in the detection of neonatal sepsis.

Authors:  Volker N Umlauf; Stephan Dreschers; Thorsten W Orlikowsky
Journal:  Int J Pediatr       Date:  2013-02-03

9.  Emerging biomarkers for the diagnosis of severe neonatal infections applicable to low resource settings.

Authors:  Thor A Wagner; Courtney A Gravett; Sara Healy; Viju Soma; Janna C Patterson; Michael G Gravett; Craig E Rubens
Journal:  J Glob Health       Date:  2011-12       Impact factor: 4.413

Review 10.  Neonatal sepsis due to coagulase-negative staphylococci.

Authors:  Elizabeth A Marchant; Guilaine K Boyce; Manish Sadarangani; Pascal M Lavoie
Journal:  Clin Dev Immunol       Date:  2013-05-22
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