Certain Medications May Alter Quad Screen Results Publish date: Dec 28, 2009 ![]() MONDAY, Dec. 28 (HealthDay News) -- A pregnant woman's use of certain prescription drugs may skew results of the standard
Quad screening and increase the rate of screen-positives for neural tube defects, according to a study in the December issue
of the American Journal of Obstetrics & Gynecology. Dawn M. Pekarek, M.D., of the University of Alabama at Birmingham, and colleagues performed a study of 1,337 pregnant women
who took at least one prescription medication and received a standard Quad screen for levels of alpha-fetoprotein (AFP), estriol,
human chorionic gonadotropin (hCG), and inhibin A. To determine if medication classes are associated with Quad screen analyte
levels or screen-positive rates, the results were compared to a control group of 4,869 pregnant women not taking a prescription. The researchers found that women taking antihypertensives, asthma medications, antidepressants, antiepileptics, and analgesics
had higher inhibin A levels, while women taking antiemetics had increased levels of hCG. Women taking immunosuppressants had
higher AFP and lower estriol levels, and methadone was associated with a reduction in levels of both estriol and hCG. Positive
rates for neural tube defects were higher than in the control group for those taking immunosuppressants (12.8 versus 1.5 percent),
antibiotics (4.8 versus 1.5 percent), and antidepressants (3.4 versus 1.5 percent). "Although our study has demonstrated a possible effect of medications on maternal serum screening, further studies will
be needed to confirm this data before using this in clinical practice, including genetic counseling," the authors write. Copyright © 2009 ScoutNews, LLC. All rights reserved. | Featured JobsCoding Counselor Simple and accurate ICD-9 code search. Start Here Patient Education Print customized patient education handouts. Start Here Dermatology Diagnosis Identify skin diseases by age, gender, location. Start Here AHRQ Clinical Guidelines Objective findings on medical interventions. Start Here ![]() ![]() |