Risk assessment for Down syndrome with genetic sonogram in women at risk.

Abstract:

OBJECTIVE:To evaluate the algorithms of risk assessment for Down syndrome (DS). METHODS:Cohort study conducted in women at risk undergoing midtrimester genetic sonogram. Univariate and logistic regression analysis were used to relate findings to the occurrence of DS. The resulting model was validated in an independent population of patients. RESULTS:In a multivariable model adjusted for gestational age and maternal age, nuchal fold thickness (NFT) >or= 5 mm (OR = 4.6, 95% CI 0.9-23.9), presence of renal pelvic dilation (OR = 18.0, 95% CI 2.9-110.5), absent mid-phalanx of the 5th finger (OR = 29.9, 95% CI 6.1-145.8), presence of noncardiac malformations (OR = 20.1, 95% CI 2.6-154.7) or isolated heart defects (OR = 60.2, 95% CI 9.5-382.8), the interactions of gestational age with NFT >or= 5 mm (P = 0.04) and malformations with heart defects (P = 0.03) were significantly associated with DS. Utilizing this model and a risk cutoff point of 1/270, the sensitivity was 83.3% (5/6) with a false positive rate (FPR) of 28.5% (159/558). CONCLUSION:Genetic sonogram has adequate accuracy to be incorporated into management algorithms for risk assessment of DS in women at risk.

journal_name

Prenat Diagn

journal_title

Prenatal diagnosis

authors

Vergani P,Ghidini A,Weiner S,Locatelli A,Pozzi E,Biffi A

doi

10.1002/pd.2138

subject

Has Abstract

pub_date

2008-12-01 00:00:00

pages

1144-8

issue

12

eissn

0197-3851

issn

1097-0223

journal_volume

28

pub_type

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