Newborn genetic screening is highly effective for high-risk infants: A single-centre study in China

Von Willebrand disease (VWD) and pregnancy: a comprehensive overview

Von Willebrand disease (VWD) is a hereditary bleeding disorder characterized by a quantitative or qualitative deficiency of von Willebrand factor (VWF). Pregnancy significantly impacts hemostasis, leading to a hypercoagulable state. However, women with VWD experience unique challenges due to the interplay between pregnancy-related hormonal changes and VWF deficiencies. This review delves into the intricate relationship between VWD and pregnancy. We explored the physiological changes that occur during pregnancy, including hormonal fluctuations, hemodilution, and alterations in platelet-VWF interactions. We discuss how these changes can exacerbate bleeding tendencies in women with VWD, particularly during childbirth and the postpartum period. This review highlights the increased risk of postpartum hemorrhage (PPH) in women with VWD and the potential for severe maternal morbidity and mortality. We examine the various types of VWD and their specific implications for pregnancy outcomes. Additionally, we discuss the challenges associated with diagnosing and managing VWD during pregnancy, as well as the importance of prenatal counseling and careful monitoring. The management of VWD during pregnancy involves a multidisciplinary approach, including the use of prophylactic treatments, such as desmopressin and tranexamic acid, as well as factor replacement therapy when necessary. Careful planning of delivery, including the choice of delivery mode and the timing of interventions, is essential to minimize bleeding complications. By understanding the complexities of VWD during pregnancy and implementing appropriate management strategies, healthcare providers can significantly improve the outcomes for women with VWD and their offspring.

Data-driven consideration of genetic disorders for global genomic newborn screening programs

Purpose

Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range of genetic disorders included in newborn screening. Substantial variability in gene selection across programs exists, highlighting the need for a systematic approach to prioritize genes.

Methods

We assembled a dataset comprising 25 characteristics about each of the 4,390 genes included in 27 NBSeq programs. We used regression analysis to identify several predictors of inclusion, and developed a machine learning model to rank genes for public health consideration.

Results

Among 27 NBSeq programs, the number of genes analyzed ranged from 134 to 4,299, with only 74 (1.7%) genes included by over 80% of programs. The most significant associations with gene inclusion across programs were presence on the US Recommended Uniform Screening Panel (inclusion increase of 74.7%, CI: 71.0%-78.4%), robust evidence on the natural history (29.5%, CI: 24.6%-34.4%) and treatment efficacy (17.0%, CI: 12.3%- 21.7%) of the associated genetic disease. A boosted trees machine learning model using 13 predictors achieved high accuracy in predicting gene inclusion across programs (AUC = 0.915, R² = 84%).

Conclusion

The machine learning model developed here provides a ranked list of genes that can adapt to emerging evidence and regional needs, enabling more consistent and informed gene selection in NBSeq initiatives.

Progress of newborn screening in China

Newborn screening (NBS) plays a significant role in reducing the risk of birth defects. NBS in China began in the early 1980s. Under the protection of laws and regulations and the leadership of the national health administration, approved screening centers in public hospitals took the responsibility for publicity, screening, diagnosis, treatment, follow-up and management of birth defects. As of 2022, 31 provinces (autonomous regions and municipalities directly under the central government) have carried out NBS for phenylketonuria, congenital hypothyroidism, and hearing loss, 23 provinces have carried out screening for glucose-6-phosphate dehydrogenase (with a screening rate of 89.24%), and 24 provinces have carried out screening for congenital adrenal cortical hyperplasia (91.45% screening rate). Over the past four decades, screening techniques have evolved from bacterial inhibition, fluorescence analysis, and tandem mass spectrometry for the detection of biochemical markers to genetic testing, which has greatly contributed to the expansion of the types of diseases screened for. The combined use of metabolomics and genomics is currently being explored. Effective management and rigorous quality control of NBS are prerequisites for improving the quality and ensuring the accuracy of screening. The Quality Management System for Newborn Screening System Network (QMS-NBS), established by the National Center for Clinical Laboratories, covers all screening centers and related blood collection agencies. The operation of the QMS-NBS allows the quality and performance of screening to be transparent and measurable, ensuring the quality and efficiency of screening. This article provides an overview of the history of NBS, especially the evolution of policies for the NBS in China, the construction of screening institutions, the number of newborns screened, the incidence rates of screened diseases, the changes in screening technology, the expansion of new diseases screened for, and the quality control of NBS. Overall, the progress in NBS in China has not only benefited from the development and standardization at the technological level, but also benefited from the construction of policies, regulations and ethics.