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Obstet Gynecol ; 97(5 Pt 1): 742-6, 2001 May.
Article in English | MEDLINE | ID: mdl-11339927

ABSTRACT

OBJECTIVE: To determine whether current methods of detecting Down syndrome based on fetal femur length calculations are influenced by gestational age or maternal height. METHODS: Four formulas were used to calculate expected femur length (FL) based on the fetal biparietal diameter (BPD) between 15 0/7 weeks' gestation and 19 6/7 weeks' gestation. For each gestational age, the BPD:FL ratio for women shorter than one standard deviation (SD) below the mean height was compared with the ratio for women taller than one SD above the mean height. A measured:expected FL ratio of 0.91 or less and a BPD:FL ratio greater than 1.5 SD above the mean was considered abnormal. RESULTS: The four formulas used to calculate measured:expected FL ratios were significantly more likely to be abnormal at 15--16 weeks' gestation, compared with 18-19 weeks' gestation (P <.05). Maternal height correlated with femur lengths at 18 and 19 weeks' gestation (P <.05) but not at earlier gestational ages. At 18 and 19 weeks' gestation, women shorter than one SD below the mean were twice as likely to have an abnormal BPD:FL ratio compared with women taller than one SD above the mean (relative risk 2.38; 95% confidence interval 1.21, 4.69). CONCLUSION: Early gestational age increases a woman's risk of having an abnormal measured:expected FL ratio, whereas short stature increases a woman's risk of having an abnormal BPD:FL ratio at later gestational ages. These findings indicate that risk assessment for fetal Down syndrome for such patients might be inaccurate. (Obstet Gynecol 2001;97:742-6.


Subject(s)
Body Height , Down Syndrome/diagnostic imaging , Femur/embryology , Femur/growth & development , Gestational Age , Ultrasonography, Prenatal/methods , Adult , Cohort Studies , Confidence Intervals , Down Syndrome/epidemiology , Embryonic and Fetal Development , Female , Humans , Predictive Value of Tests , Pregnancy , Prevalence , Probability , Risk Assessment , Sensitivity and Specificity
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