Bedside estimation of Down syndrome risk from second-trimester ultrasound prenasal thickness

R. Maymon*, M. Moskovitch, O. Levinsohn-Tavor, Z. Weinraub, A. Herman, H. Cuckle

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Objectives: To construct tables for 'bedside' estimation of Down syndrome risk based on maternal age and ultrasound prenasal thickness (PT) measurements. Methods: Likelihood ratios were calculated using a log Gaussian model of the PT distribution in multiples of the gestational age-specific median (MoM). The model parameters were derived from 80 Down syndrome and 850 unaffected pregnancies scanned at 14-27 weeks; these data had been published previously, in three series, except for 18 Down syndrome and 119 affected pregnancies. The means were estimated as the median, and the SDs as the 10th-90 th range divided by 2.563. Results: A log Gaussian model fitted well the distribution of PT values in Down syndrome and unaffected pregnancies with medians of 1.31 MoM and 1.01 MoM, and log10 SDs of 0.075 and 0.082, respectively. Conclusions: The tables provide a simple 'bedside' estimation of Down syndrome risk without the need for computerized software or complicated calculations. More prospective data on PT in combination with other first- and second-trimester screening markers are needed.

Original languageEnglish
Pages (from-to)629-633
Number of pages5
JournalUltrasound in Obstetrics and Gynecology
Volume34
Issue number6
DOIs
StatePublished - Dec 2009

Keywords

  • Down syndrome
  • Estimated risk
  • Prenasal thickness
  • Screening
  • Ultrasound

Fingerprint

Dive into the research topics of 'Bedside estimation of Down syndrome risk from second-trimester ultrasound prenasal thickness'. Together they form a unique fingerprint.

Cite this