Opinions and practice patterns of obstetricians-gynecologists in the United States regarding amniocentesis in twins

Prenat Diagn. 2013 Sep;33(9):899-903. doi: 10.1002/pd.4164. Epub 2013 Jun 17.

Abstract

Objective: Accurate amniocentesis-related pregnancy loss (ARL) rates for twin gestations remains elusive because of varying ARL definitions in the literature. We examined how OB/GYNs define/counsel women carrying twins about ARL.

Methods: A random sample of 1000 American College of OB/GYN (ACOG) fellows and ACOG Collaborative Ambulatory Research Network (CARN) members were mailed surveys about their opinions/practice patterns regarding amniocentesis in twins. There were 208/400 (52%) CARN members and 166/600 (27%) ACOG fellows who returned the survey (37% response rate).

Results: Of respondents, 80.8% practiced general OB/GYN, and 9.1% practiced maternal fetal medicine. Of respondents, 72% discussed amniocentesis for prenatal diagnosis. Of these, 91.7% discuss the risk of ARL; however, 47.4% do not quote an ARL rate. Of those who discuss ARL rates, 65% quote a rate greater than for singletons. Regarding monochorionic-diamniotic twins, 12.1% of respondents said the ARL rate was less, 39.6% said equal to, and 38.9% said greater than for dichorionic twins. Table 1 lists the most common clinical definitions/time intervals used to describe ARL.

Conclusion: Various definitions/ARL rates are used when counseling about ARL in twins. Further studies using a widely accepted definition of ARL are necessary to improve the counseling of women considering amniocentesis for prenatal diagnosis in twins.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Amniocentesis* / statistics & numerical data
  • Data Collection
  • Expert Testimony*
  • Female
  • Gynecology* / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Obstetrics* / statistics & numerical data
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Pregnancy
  • Pregnancy, Twin* / statistics & numerical data
  • Twins
  • United States / epidemiology