1. Management of pregnancies with anti-K alloantibodies and the predictive value of anti-K titration testing.
- Author
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Vlachodimitropoulou E, Shehata N, Ryan G, Clarke G, and Lieberman L
- Subjects
- Humans, Pregnancy, Female, Kell Blood-Group System immunology, Predictive Value of Tests, Erythroblastosis, Fetal diagnosis, Erythroblastosis, Fetal immunology, Isoantibodies immunology, Isoantibodies blood
- Abstract
Anti-KEL1 antigen (also referred to as anti-Kell, or anti-K) alloimmunisation is the second most common cause of severe haemolytic disease of the fetus and newborn, after anti-rhesus D antigen, and can cause substantial fetal morbidity and mortality. Both fetal erythropoietic suppression and haemolysis contribute to anaemia. Typically, once a clinically significant alloantibody is identified during pregnancy, antibody titration is performed as a screening test to predict the risk of anaemia and the need for maternal-fetal medicine referral. The titre is a semiquantitative laboratory method based on the underlying principle that increased maternal antibody concentrations are associated with an increased risk of fetal anaemia. Because some studies report that anti-K alloantibodies can lead to severe anaemia even at a low antibody titration, guidelines are inconsistent with respect to the role of titration testing. Some experts recommend maternal-fetal medicine referral and middle cerebral artery Doppler ultrasound without titration testing or with the use of a very low cutoff titre. This Viewpoint evaluates management for pregnancies affected by anti-K alloantibodies and highlights literature regarding the predictive value of anti-K titration testing., Competing Interests: Declaration of interests GC is a medical advisor to Perinatal Screening Ontario and has received travel support to international congresses from the International Society for Blood Transfusion. GC is the Secretary General for the International Society for Blood Transfusion. All other authors declare no competing interests., (Copyright © 2024 Elsevier Ltd. All rights reserved, including those for text and data mining, AI training, and similar technologies.)
- Published
- 2024
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