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High Throughput Newborn Screening for Sickle Cell Disease - Application of Two-Tiered Testing with a qPCR-Based Primary screen

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KLINISCHE PADIATRIE
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GEORG THIEME VERLAG KG
DOI: 10.1055/a-2153-7789

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newborn screening; sickle cell disease; two-tiered testing; qPCR; benchmarking; high-throughput screening

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In high-throughput newborn screening for sickle cell disease, qPCR is an effective method to identify samples containing HbS, while being unaffected by factors such as prematurity or transfusions. Using a two-step screening approach can significantly reduce the number of samples and have positive impacts on resource conservation, sustainability, and cost-effectiveness.
Background Sickle cell disease (SCD) is a group of hemoglobinopathies with a common point mutation causing the production of sickle cell hemoglobin (HbS). In high-throughput newborn screening (NBS) for SCD, a two-step procedure is suitable, in which qPCR first pre-selects relevant samples that are differentiated by a second method.Methods Three NBS centers using qPCR-based primary screening for SCD performed a laboratory comparison. Methods using tandem MS or HPLC were used for differentiation.Results In a benchmarking test, 450 dried blood samples were analyzed. Samples containing HbS were detected as reliably by qPCR as by methods established for hemoglobinopathy testing. In a two-step screening approach, the 2(nd)-tier-analyses have to distinguish the carrier status from pathological variants. In nine months of regular screening, a total of 353,219 samples were analyzed using two-stage NBS procedures. The 1( st)-tier screening by qPCR reduced the number of samples for subsequent differentiation by>99.5%. Cases with carrier status or other variants were identified as inconspicuous while 78 cases with SCD were revealed. The derived incidence of 1:4,773, is in good agreement with previously published incidences.Conclusion In high-throughput NBS for SCD, qPCR is suitable to focus 2(nd )-tier analyses on samples containing HbS, while being unaffected by factors such as prematurity or transfusions. The substantial reduction of samples numbers positively impacts resource conservation, sustainability, and cost-effectiveness. No false negative cases came to attention.

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