Literature DB >> 11853337

Computerized image analysis of bubbles in gastric aspirate for prediction of respiratory distress syndrome.

H H Fiori1, B Linderholm, R M Fiori, B Robertson.   

Abstract

UNLABELLED: Gastric aspirates were obtained from 80 newborn babies (gestational age 24-34 wk). Fifteen of these babies developed respiratory distress syndrome (RDS). Bubbles were generated in the samples by vigorous suctioning and the number and size distribution of the bubbles were determined in random fields by computer-aided image analysis. Sensitivity and specificity for prediction of RDS were 87% and 78% for average diameter of bubbles (cut-off points >45 microm) and similar for the proportion and total number of microbubbles (diameter <20 microm).
CONCLUSION: Computerized image analysis of bubbles in gastric aspirate can be used for non-biased prediction of RDS in newborn babies.

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Year:  2001        PMID: 11853337     DOI: 10.1080/08035250152708806

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  2 in total

1.  Evaluation of surfactant function at birth determined by the stable microbubble test in term and near term infants with respiratory distress.

Authors:  Humberto H Fiori; Roseli Henn; Matteo Baldisserotto; Igor G O Bica; Renato M Fiori
Journal:  Eur J Pediatr       Date:  2004-06-08       Impact factor: 3.183

2.  Predicting respiratory distress syndrome at birth using a fast test based on spectroscopy of gastric aspirates: 2. Clinical part.

Authors:  Christian Heiring; Henrik Verder; Peter Schousboe; Torben E Jessen; Lars Bender; Finn Ebbesen; Marianne Dahl; Christian Eschen; Jesper Fenger-Grøn; Agnar Höskuldsson; Morgaine Matthews; Jes Reinholdt; Nikolaos Scoutaris; Heidi Smedegaard
Journal:  Acta Paediatr       Date:  2019-05-31       Impact factor: 2.299

  2 in total

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