Hiba J Mustafa,Parisa Najjariasl,Faezeh Aghajani,Enaja V Sambatur,Asma Khalil,Kenneth J Moise,Alireza A Shamshirsaz
{"title":"Diagnostic Accuracy of Cell-Free DNA for the Determination of Fetal Red Blood Cell Antigen Genotype: A Systematic Review and Meta-Analysis.","authors":"Hiba J Mustafa,Parisa Najjariasl,Faezeh Aghajani,Enaja V Sambatur,Asma Khalil,Kenneth J Moise,Alireza A Shamshirsaz","doi":"10.1016/j.ajog.2025.05.004","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\r\nTo evaluate the diagnostic accuracy of cfDNA in identifying fetal RBC antigen genotypes.\r\n\r\nDATA SOURCES\r\nA comprehensive systematic search was conducted across three databases between 2000 and 2024.\r\n\r\nSTUDY ELIGIBILITY CRITERIA\r\nWe included cohort studies utilizing cfDNA for fetal RBC antigen detection in pregnancies at risk of or with red cell alloimmunization. Two reviewers independently assessed the studies for inclusion, resolving any disagreements through discussion.\r\n\r\nSTUDY APPRAISAL AND SYNTHESIS METHODS\r\nReporting followed the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two authors independently extracted data and assessed the risk of bias using the quality assessment of diagnostic accuracy studies (QUADAS-2) tool. Pooled sensitivity and specificity were determined using a hierarchical summary receiver operating characteristic (HSROC) approach. The analysis was conducted for all studies and then per each laboratory technique, including polymerase chain reaction (PCR), next-generation sequencing (NGS), and Matrix-Assisted Laser Desorption/Ionization-Time of Flight (MALDI-TOF). Subgroup analyses were performed for each antigen type, including RhD, RhC, Rhc, RhE, Kell, and Duffy (Fya) antigens.\r\n\r\nRESULTS\r\nA total of 84 studies encompassing 77,187 antigen samples with neonatal genotype concordance were included. Seventy-six studies used PCR (75,692 antigen samples), five used NGS (328 antigen samples), and three used MALDI-TOF (1,167 antigen samples). Combining all lab techniques, the sensitivity and specificity of cfDNA in identifying fetal RBC antigen were 99% (95% CI 99-100). The diagnostic accuracy using i)PCR technique for the following antigens in order RhD (74,786 samples), RhC (189 samples), Rhc (232 samples), RhE (276 samples), and Kell (209 samples) were, the pooled sensitivity is 99% (95% CI 99,100), 100% (95% CI 98-100), 99% (95% CI 96-100), 100% (95% CI 97-100), and 99% (95% CI 96-100), respectively and the pooled specificity is 99% (95% CI 99-100), 100% (95% CI 98-100), 100% (95% CI 94-100), 100% (95% CI 99-100), 100% (95% CI 98-100), respectively, ii) NGS technique for the following antigens in order RhD (68 samples), RhC (42 samples), Rhc (52 samples), RhE (88 samples), and Kell (108 samples) were, the pooled sensitivity is 100% (95% CI 96-100), 100% (95% CI 92-100), 100% (95% CI 95-100), 100% (95% CI 95-100), and 100% (95% CI 90-100), respectively and the pooled specificity is 100% (95% CI 91-100), 100% (95% CI 93-100), 100% (895% CI 83-100), 100% (95% CI 97-100), and 100% (95% CI 98-100), respectively, and iii) MALDI-TOF technique studies only investigated RhD (1,167 samples) with sensitivity of 99% and specificity of 98%. Fya antigen (19 samples) was only available in the NGS technique (sensitivity and specificity of 100%).\r\n\r\nCONCLUSION\r\nCfDNA can accurately detect six fetal blood group antigens involved in red cell alloimmunization that can lead to severe fetal anemia. Integrating cfDNA into clinical practice for detecting fetal RBC antigens, particularly for RhD-negative pregnancies, can streamline care, reduce unnecessary treatment and monitoring, and decrease patient anxiety. Additionally, it can be performed earlier than amniocentesis.","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"54 1","pages":""},"PeriodicalIF":8.7000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of obstetrics and gynecology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajog.2025.05.004","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
OBJECTIVE
To evaluate the diagnostic accuracy of cfDNA in identifying fetal RBC antigen genotypes.
DATA SOURCES
A comprehensive systematic search was conducted across three databases between 2000 and 2024.
STUDY ELIGIBILITY CRITERIA
We included cohort studies utilizing cfDNA for fetal RBC antigen detection in pregnancies at risk of or with red cell alloimmunization. Two reviewers independently assessed the studies for inclusion, resolving any disagreements through discussion.
STUDY APPRAISAL AND SYNTHESIS METHODS
Reporting followed the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two authors independently extracted data and assessed the risk of bias using the quality assessment of diagnostic accuracy studies (QUADAS-2) tool. Pooled sensitivity and specificity were determined using a hierarchical summary receiver operating characteristic (HSROC) approach. The analysis was conducted for all studies and then per each laboratory technique, including polymerase chain reaction (PCR), next-generation sequencing (NGS), and Matrix-Assisted Laser Desorption/Ionization-Time of Flight (MALDI-TOF). Subgroup analyses were performed for each antigen type, including RhD, RhC, Rhc, RhE, Kell, and Duffy (Fya) antigens.
RESULTS
A total of 84 studies encompassing 77,187 antigen samples with neonatal genotype concordance were included. Seventy-six studies used PCR (75,692 antigen samples), five used NGS (328 antigen samples), and three used MALDI-TOF (1,167 antigen samples). Combining all lab techniques, the sensitivity and specificity of cfDNA in identifying fetal RBC antigen were 99% (95% CI 99-100). The diagnostic accuracy using i)PCR technique for the following antigens in order RhD (74,786 samples), RhC (189 samples), Rhc (232 samples), RhE (276 samples), and Kell (209 samples) were, the pooled sensitivity is 99% (95% CI 99,100), 100% (95% CI 98-100), 99% (95% CI 96-100), 100% (95% CI 97-100), and 99% (95% CI 96-100), respectively and the pooled specificity is 99% (95% CI 99-100), 100% (95% CI 98-100), 100% (95% CI 94-100), 100% (95% CI 99-100), 100% (95% CI 98-100), respectively, ii) NGS technique for the following antigens in order RhD (68 samples), RhC (42 samples), Rhc (52 samples), RhE (88 samples), and Kell (108 samples) were, the pooled sensitivity is 100% (95% CI 96-100), 100% (95% CI 92-100), 100% (95% CI 95-100), 100% (95% CI 95-100), and 100% (95% CI 90-100), respectively and the pooled specificity is 100% (95% CI 91-100), 100% (95% CI 93-100), 100% (895% CI 83-100), 100% (95% CI 97-100), and 100% (95% CI 98-100), respectively, and iii) MALDI-TOF technique studies only investigated RhD (1,167 samples) with sensitivity of 99% and specificity of 98%. Fya antigen (19 samples) was only available in the NGS technique (sensitivity and specificity of 100%).
CONCLUSION
CfDNA can accurately detect six fetal blood group antigens involved in red cell alloimmunization that can lead to severe fetal anemia. Integrating cfDNA into clinical practice for detecting fetal RBC antigens, particularly for RhD-negative pregnancies, can streamline care, reduce unnecessary treatment and monitoring, and decrease patient anxiety. Additionally, it can be performed earlier than amniocentesis.
期刊介绍:
The American Journal of Obstetrics and Gynecology, known as "The Gray Journal," covers the entire spectrum of Obstetrics and Gynecology. It aims to publish original research (clinical and translational), reviews, opinions, video clips, podcasts, and interviews that contribute to understanding health and disease and have the potential to impact the practice of women's healthcare.
Focus Areas:
Diagnosis, Treatment, Prediction, and Prevention: The journal focuses on research related to the diagnosis, treatment, prediction, and prevention of obstetrical and gynecological disorders.
Biology of Reproduction: AJOG publishes work on the biology of reproduction, including studies on reproductive physiology and mechanisms of obstetrical and gynecological diseases.
Content Types:
Original Research: Clinical and translational research articles.
Reviews: Comprehensive reviews providing insights into various aspects of obstetrics and gynecology.
Opinions: Perspectives and opinions on important topics in the field.
Multimedia Content: Video clips, podcasts, and interviews.
Peer Review Process:
All submissions undergo a rigorous peer review process to ensure quality and relevance to the field of obstetrics and gynecology.