Relative risk of stillbirth and preterm birth associated with less well-known antibodies was of similar magnitude to that found for anti-D.
Maternal anti-Lea antibodies, red cell antibodies not usually thought to be a risk factor for adverse pregnancy outcomes, were found to increase the risk of stillbirth in a large study performed in Sweden and published in 2014. Rh and K-red blood cell antibodies also were found to increase the risk of both preterm birth and stillbirth. The study was published in the International Journal of Epidemiology.
In a study sample consisting of 1,022,569 singleton pregnancies from 668,952 mothers in Sweden during 1987–2002, 1.3% were alloimmunized. The researchers ran adjusted logistic regression models and, compared with having no antibodies, alloimmunization with anti-D, anti-E, anti-C and anti-c was associated with increased risk of both stillbirth and preterm birth. In addition, anti-Kell was associated with increased risk of preterm birth and anti-Lea with increased risk of stillbirth. Compared with firstborns, children of subsequent births had a higher risk of preterm birth.
The researchers claimed that this study was the largest as of 2014 to look at both Rhesus and non-Rhesus maternal alloimmunization and called for further investigation of the consequences of non-anti-D alloimmunization. They noted, “In our study sample, anti-D antibody occurred at a frequency comparable to other antibodies (e.g. anti-Lea, anti-E) that are not as well studied and which do not have prophylactic treatments. However, the relative risk of stillbirth and preterm birth associated with these less well-known antibodies was of similar magnitude to that found for anti-D.”
S4E1: New RNA platform can predict pregnancy complications
February 11th 2022In this episode of Pap Talk, Contemporary OB/GYN® sat down with Maneesh Jain, CEO of Mirvie, and Michal Elovitz, MD, chief medical advisor at Mirvie, a new RNA platform that is able to predict pregnancy complications by revealing the biology of each pregnancy. They discussed recently published data regarding the platform's ability to predict preeclampsia and preterm birth.
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