Conventional management of maternal red cell alloimmunization compared with management by Doppler assessment of middle cerebral artery peak systolic velocity.
Publication/Presentation Date
10-1-2003
Abstract
OBJECTIVE: This study was undertaken to compare management of red blood cell alloimmunization by Doppler measurement of middle cerebral artery peak systolic velocity (MCA-PSV) to conventional management with amniocentesis.
STUDY DESIGN: A historical cohort of 28 fetuses at risk for anemia caused by red blood cell alloimmunization was followed between 1999 and 2002 at a single institution. The decision to perform percutaneous umbilical cord blood sampling (PUBS) was based on conventional management. MCA-PSV Doppler was measured before amniocentesis or PUBS but not used clinically.
RESULTS: Twenty-eight fetuses were followed up: 4 had severe anemia, 1 had moderate anemia, 3 had mild anemia, and 20 were nonanemic. Conventional management had a sensitivity and positive predictive value for moderate-to-severe anemia of 80% and 44%, with a false-positive rate of 56%. In the same patients, MCA-PSV Doppler had a sensitivity and positive predictive value for moderate-to-severe anemia of 100% and 71%, with a false-positive rate of 28%.
CONCLUSION: Compared with conventional management, MCA-PSV Doppler may have a better predictive accuracy for moderate-to-severe fetal anemia in red blood cell alloimmunization. Management by MCA-PSV Doppler may eliminate the need for amniocentesis and reduce the number of PUBS performed in red blood cell-alloimmunized pregnancies.
Volume
189
Issue
4
First Page
1002
Last Page
1006
ISSN
0002-9378
Published In/Presented At
Pereira, L., Jenkins, T. M., & Berghella, V. (2003). Conventional management of maternal red cell alloimmunization compared with management by Doppler assessment of middle cerebral artery peak systolic velocity. American journal of obstetrics and gynecology, 189(4), 1002–1006. https://doi.org/10.1067/s0002-9378(03)00771-3
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
14586344
Department(s)
Administration and Leadership
Document Type
Article