Literature DB >> 8749828

A fetal alcohol syndrome screening tool.

S J Astley1, S K Clarren.   

Abstract

The purpose of this study was to derive a multivariate, quantitative case definition of the fetal alcohol syndrome (FAS) facial phenotype from a dysmorphologist-derived gold standard and use it to develop an effective screening tool for identification of children at risk for FAS. The facial and physical features of a racially mixed group of children (0.2-10.0 years of age), evaluated by a single dysmorphologist in the University of Washington FAS Clinic, were used to determine which feature or set of features best differentiated between children with and without a diagnosis of FAS. The study population was divided into two groups balanced on gender, age at examination, race, diagnosis, and date of examination. Group 1 was used to identify the most differentiating feature(s), and group 2 was used to validate the differentiating capability of the feature(s). Group 1 included 97 children (20 with FAS and 77 without FAS). Group 2 included 97 children (19 with FAS and 78 without FAS). Discriminant analysis identified smooth philtrum, thin upper lip, and short palpebral fissures as the cluster of features that best differentiated children with and without FAS based on the discriminant function [D = 1.7953086 + 0.8116083 (thin upper lip) + 2.6411562 (smooth philtrum)-3.4073780 (% predicted right palpebral fissure length)]. Patients with a D-score > or = 1.5 were classified as at-risk for FAS (screen positive). Using this cut-off value for the D-score, children in group 1 were classified with 100% sensitivity (20 of 20 true positives) and 90.0% specificity (70 of 77 true negatives). The children in group 2 were classified with 100% sensitivity (19 of 19 true positives) and 87.3% specificity (68 of 78 true negatives). Across all 194 patients, sensitivity was 100% [95% confidence interval (97-100)] and specificity was 89% [95% confidence interval (85 to 93)]. Seventy-one percent (n = 12) of the 17 false-positives had a true classification of possible fetal alcohol effects. Sensitivity and specificity were unaffected by race, gender, and age through 10 years. The screening tool is effective at differentiating children with and without FAS as diagnosed by a single dysmorphologist (S.K.C) at the University of Washington FAS Clinic. Assessment of diagnostic interrater agreement between trained dysmorphologists and testing in other clinic populations will be needed to assess the tool's external validity.

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Mesh:

Year:  1995        PMID: 8749828     DOI: 10.1111/j.1530-0277.1995.tb01025.x

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  15 in total

1.  Morphometric analysis of facial landmark data to characterize the facial phenotype associated with fetal alcohol syndrome.

Authors:  Tinashe Mutsvangwa; Tania S Douglas
Journal:  J Anat       Date:  2007-02       Impact factor: 2.610

2.  Growth and associations between auxology, caregiving environment, and cognition in socially deprived Romanian children randomized to foster vs ongoing institutional care.

Authors:  Dana E Johnson; Donald Guthrie; Anna T Smyke; Sebastian F Koga; Nathan A Fox; Charles H Zeanah; Charles A Nelson
Journal:  Arch Pediatr Adolesc Med       Date:  2010-04-05

3.  A South African mixed race lip/philtrum guide for diagnosis of fetal alcohol spectrum disorders.

Authors:  H Eugene Hoyme; Derek B Hoyme; Amy J Elliott; Jason Blankenship; Wendy O Kalberg; David Buckley; Omar Abdul-Rahman; Margaret P Adam; Luther K Robinson; Melanie Manning; Heidre Bezuidenhout; Kenneth L Jones; Philip A May
Journal:  Am J Med Genet A       Date:  2015-02-25       Impact factor: 2.802

4.  Methods for surveillance of fetal alcohol syndrome: The Fetal Alcohol Syndrome Surveillance Network II (FASSNetII) - Arizona, Colorado, New York, 2009 - 2014.

Authors:  Leslie A O'Leary; Linnette Ortiz; April Montgomery; Deborah J Fox; Christopher Cunniff; Margaret Ruttenber; April Breen; Sydney Pettygrove; Don Klumb; Charlotte Druschel; Jaime L Frías; Luther K Robinson; Jacquelyn Bertrand; Kelly Ferrara; Maureen Kelly; Suzanne M Gilboa; F John Meaney
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2015-03-12

5.  Research, Practice, and Policy Perspectives on Issues of Children without Permanent Parental Care.

Authors:  Robert B McCall
Journal:  Monogr Soc Res Child Dev       Date:  2011-12

Review 6.  A guide to the recognition of skeletal disorders in the fetus.

Authors:  Rita L Teele
Journal:  Pediatr Radiol       Date:  2006-03-09

7.  The diagnosis of fetal alcohol syndrome.

Authors:  Mirjam N Landgraf; Monika Nothacker; Ina B Kopp; Florian Heinen
Journal:  Dtsch Arztebl Int       Date:  2013-10-18       Impact factor: 5.594

8.  A modified Delphi study of screening for fetal alcohol spectrum disorders in Australia.

Authors:  Rochelle E Watkins; Elizabeth J Elliott; Jane Halliday; Colleen M O'Leary; Heather D'Antoine; Elizabeth Russell; Lorian Hayes; Elizabeth Peadon; Amanda Wilkins; Heather M Jones; Anne McKenzie; Sue Miers; Lucinda Burns; Raewyn C Mutch; Janet M Payne; James P Fitzpatrick; Maureen Carter; Jane Latimer; Carol Bower
Journal:  BMC Pediatr       Date:  2013-01-25       Impact factor: 2.125

9.  Syndrome diagnosis: human intuition or machine intelligence?

Authors:  Oivind Braaten; Johannes Friestad
Journal:  Open Med Inform J       Date:  2008-11-19

10.  Recommendations from a consensus development workshop on the diagnosis of fetal alcohol spectrum disorders in Australia.

Authors:  Rochelle E Watkins; Elizabeth J Elliott; Amanda Wilkins; Raewyn C Mutch; James P Fitzpatrick; Janet M Payne; Colleen M O'Leary; Heather M Jones; Jane Latimer; Lorian Hayes; Jane Halliday; Heather D'Antoine; Sue Miers; Elizabeth Russell; Lucinda Burns; Anne McKenzie; Elizabeth Peadon; Maureen Carter; Carol Bower
Journal:  BMC Pediatr       Date:  2013-10-02       Impact factor: 2.125

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