Integrating RHD Genotyping for More Accurate Rh(D) Antigen Phenotyping: A Retrospective Study

<i>Background and Objectives:</i> The Rh blood group system is highly polymorphic, and accurate classification of Rh(D) variants is critical in transfusion medicine to prevent alloimmunization and optimize blood utilization. Despite the advances in conventional serologic testing, weak and partial Rh(D) phenotypes still remain challenges in Transfusion Medicine practice. The objective is to implement and assess the impact of <i>RHD</i> genotyping in classifying Rh(D) antigen status. <i>Materials and Methods:</i> We conducted a retrospective study at the University of South Alabama Medical Center and Children and Women's Hospital between 1 January 2023 and 31 December 2024 to assess the impact of <i>RHD</i> genotyping in cases with discrepant Rh(D) typing, Rh(D)-positive patients with anti-Rh(D) antibodies, and neonates with positive weak Rh(D) tests. ABO and Rh(D) antigen typing was performed on 12,994 patients, including 3767 newly tested individuals. Weak Rh(D) testing was performed on newly tested individuals using automated microplate direct agglutination, followed by molecular genotyping. <i>Results:</i> Among the 25 patients with weak or discrepant Rh(D) phenotypes, weak Rh(D) variants were observed in 52% of cases, with Weak Type 2 being the most common, particularly in pediatric (age < 18 years old) patients. Partial Rh(D) phenotypes were identified in 40% of cases, predominantly among Black individuals. Three patients were reclassified as Rh(D)-positive based on genotyping and received 615 Rh(D)-positive RBC units without evidence of alloimmunization, while four patients were confirmed at risk of alloimmunization and remained classified as Rh(D)-negative. Fisher's exact test demonstrated a significant association between ethnicity and Rh(D) classification (<i>p</i> < 0.01), and the McNemar exact test confirmed a significant reclassification of cases from Rh(D)-negative to Rh(D)-positive (<i>p</i> < 0.01). <i>Conclusions: RHD</i> genotyping enhances the accuracy of Rh(D) antigen classification, mitigating alloimmunization risks and the unnecessary use of Rh Immunoglobulin and optimizing blood product utilization. The reclassification of patients to Rh(D)-positive alleviates pressure on Rh(D)-negative blood supplies, particularly during critical shortages. These findings underscore the necessity of integrating molecular <i>RHD</i> testing into routine transfusion medicine practices to improve patient safety and resource management.

Authors

Institutions

Publication Details

Journal
Medicina
Published
2025-04-05
DOI
https://doi.org/10.3390/medicina61040670
Primary Topic
Blood groups and transfusion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating RHD Genotyping for More Accurate Rh(D) Antigen Phenotyping: A Retrospective Study

Mohammad Barouqa, Nestor Dela Cruz
Medicina
Blood groups and transfusion
article

Integrating RHD Genotyping for More Accurate Rh(D) Antigen Phenotyping: A Retrospective Study

Mohammad Barouqa, Nestor Dela Cruz
article en

Abstract

<i>Background and Objectives:</i> The Rh blood group system is highly polymorphic, and accurate classification of Rh(D) variants is critical in transfusion medicine to prevent alloimmunization and optimize blood utilization. Despite the advances in conventional serologic testing, weak and partial Rh(D) phenotypes still remain challenges in Transfusion Medicine practice. The objective is to implement and assess the impact of <i>RHD</i> genotyping in classifying Rh(D) antigen status. <i>Materials and Methods:</i> We conducted a retrospective study at the University of South Alabama Medical Center and Children and Women's Hospital between 1 January 2023 and 31 December 2024 to assess the impact of <i>RHD</i> genotyping in cases with discrepant Rh(D) typing, Rh(D)-positive patients with anti-Rh(D) antibodies, and neonates with positive weak Rh(D) tests. ABO and Rh(D) antigen typing was performed on 12,994 patients, including 3767 newly tested individuals. Weak Rh(D) testing was performed on newly tested individuals using automated microplate direct agglutination, followed by molecular genotyping. <i>Results:</i> Among the 25 patients with weak or discrepant Rh(D) phenotypes, weak Rh(D) variants were observed in 52% of cases, with Weak Type 2 being the most common, particularly in pediatric (age < 18 years old) patients. Partial Rh(D) phenotypes were identified in 40% of cases, predominantly among Black individuals. Three patients were reclassified as Rh(D)-positive based on genotyping and received 615 Rh(D)-positive RBC units without evidence of alloimmunization, while four patients were confirmed at risk of alloimmunization and remained classified as Rh(D)-negative. Fisher's exact test demonstrated a significant association between ethnicity and Rh(D) classification (<i>p</i> < 0.01), and the McNemar exact test confirmed a significant reclassification of cases from Rh(D)-negative to Rh(D)-positive (<i>p</i> < 0.01). <i>Conclusions: RHD</i> genotyping enhances the accuracy of Rh(D) antigen classification, mitigating alloimmunization risks and the unnecessary use of Rh Immunoglobulin and optimizing blood product utilization. The reclassification of patients to Rh(D)-positive alleviates pressure on Rh(D)-negative blood supplies, particularly during critical shortages. These findings underscore the necessity of integrating molecular <i>RHD</i> testing into routine transfusion medicine practices to improve patient safety and resource management.

MedicinaVol. 61(4)
University of South Alabama (US)
Good health and well-being
Openalex Percentile: Top 91%
Blood groups and transfusion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.