dépistage néonatal

This report describes a 2016 analysis of newborn screenings in the United States, which found that practices to detect alpha-thalassemia varied state to state.

To measure parental perceptions of child vulnerability, as a precursor to developing a population-scale mechanism to mitigate harm after newborn scree…

Abstract Newborn screening is a public health strategy used to identify certain diseases in the first days of life and, therefore, facilitate early treatment before the onset of symptoms. Th

Phenylketonuria (PKU) is a common genetic metabolic disorder that affects the infant's nerve development and manifests as abnormal behavior and developmental delay as the child grows. Currently, a triple–quadrupole mass spectrometer (TQ-MS) is a common high-accuracy clinical PKU screening method. However, there is high false-positive rate associated with this modality, and its reduction can provide a diagnostic and economic benefit to both pediatric patients and health providers. Machine learning methods have the advantage of utilizing high-dimensional and complex features, which can be obtained from the patient's metabolic patterns and interrogated for clinically relevant knowledge. In this study, using TQ-MS screening data of more than 600,000 patients collected at the Newborn Screening Center of Shanghai Children's Hospital, we derived a dataset containing 256 PKU-suspected cases. We then developed a machine learning logistic regression analysis model with the aim to minimize false-positive rates in the results of the initial PKU test. The model attained a 95–100% sensitivity, the specificity was improved 53.14%, and positive predictive value increased from 19.14 to 32.16%. Our study shows that machine learning models may be used as a pediatric diagnosis aid tool to reduce the number of suspected cases and to help eliminate patient recall. Our study can serve as a future reference for the selection and evaluation of computational screening methods.

Table of Contents
Int. J. Neonatal Screen., Volume 6, Issue 2 (June 2020) – 26 articles

Newborn screening programs are an integral part of public health systems aiming to save lives and improve the quality of life for infants with treatable disorders. Technological advancements have driven the expansion of newborn screening programs in th

Newborn screening (NBS) identifies infants at risk for congenital disorders for which early intervention has been shown to improve outcomes.

Public health newborn screening (NBS) programs provide population-scale ascertainment of rare, treatable conditions that require urgent intervention. Tandem mass spectrometry (MS/MS) is currently used to screen newborns for a panel of rare inborn errors of metabolism (IEMs)1–4. The NBSeq project evaluated whole-exome sequencing (WES) as an innovative methodology for NBS. We obtained archived residual dried blood spots and data for nearly all IEM cases from the 4.5 million infants born in California between mid-2005 and 2013 and from some infants who screened positive by MS/MS, but were unaffected upon follow-up testing. WES had an overall sensitivity of 88% and specificity of 98.4%, compared to 99.0% and 99.8%, respectively for MS/MS, although effectiveness varied among individual IEMs. Thus, WES alone was insufficiently sensitive or specific to be a primary screen for most NBS IEMs. However, as a secondary test for infants with abnormal MS/MS screens, WES could reduce false-positive results, facilitate timely case resolution and in some instances even suggest more appropriate or specific diagnosis than that initially obtained. This study represents the largest, to date, sequencing effort of an entire population of IEM-affected cases, allowing unbiased assessment of current capabilities of WES as a tool for population screening. Whole-exome sequencing is not sensitive or specific enough to replace the gold standard of tandem mass spectrometry screening of rare inborn errors of metabolism, but can help to reduce false positives and facilitate the timely resolution of ambiguous cases.

INESSS, Institut national d'excellence en santé et services sociaux

Aim: Spinal muscular atrophy (SMA) is an inherited, autosomal recessive neuromuscular disease that causes high morbidity and mortality. The prevalence is 1–2/100,000, while the incidence i

Severe combined immunodeficiency (SCID) and other T cell lymphopenias can be detected during newborn screening (NBS) by measuring T cell receptor excision circles (TRECs) in dried blood spot (DBS) DNA. Second tier next generation sequencing (NGS) with an amplicon based targeted gene panel using the same DBS DNA was introduced as part of our prospective pilot research project in 2015. With written parental consent, 21 000 newborns were TREC-tested in the pilot. Three newborns were identified with SCID, and disease-causing variants in IL2RG, RAG2, and RMRP were confirmed by NGS on the initial DBS DNA. The molecular findings directed follow-up and therapy: the IL2RG-SCID underwent early hematopoietic stem cell transplantation (HSCT) without any complications; the leaky RAG2-SCID received prophylactic antibiotics, antifungals, and immunoglobulin infusions, and underwent HSCT at 1 year of age. The child with RMRP-SCID had complete Hirschsprung disease and died at 1 month of age. Since January 2018, all newborns in Norway have been offered NBS for SCID using 1st tier TRECs and 2nd tier gene panel NGS on DBS DNA. During the first 20 months of nationwide SCID screening an additional 88 000 newborns were TREC tested, and four new SCID cases were identified. Disease-causing variants in DCLRE1C, JAK3, NBN, and IL2RG were molecularly confirmed on day 8, 15, 8 and 6, respectively after birth, using the initial NBS blood spot. Targeted gene panel NGS integrated into the NBS algorith

Data were collected from 39 newborn screening (NBS) programs to provide insight into the time and factors required for implementing statewide screening for Pompe, Mucopolysaccharidosis type I (MPS I), adrenoleukodystrophy (ALD), and Spinal Muscular Atrophy (SMA). Newborn screening program readiness to screen statewide for a condition was assessed using four phases: (1) approval to screen; (2) laboratory, follow-up, and information technology capabilities; (3) education; and (4) implementation of statewide newborn screening. Seventeen states (43.6%) reached statewide implementation for at least one new disorder. Those states reported that it took 28 months to implement statewide screening for Pompe and MPS I, 30.5 months for ALD, and 20 months for SMA. Using survival curve analysis to account for states still in progress, the estimated median time to statewide screening increased to 75 months for Pompe and 66 months for MPS I. When looking at how long each readiness component took to complete, laboratory readiness was one of the lengthier processes, taking about 39 months. Collaboration with other NBS programs and hiring were the most frequently mentioned facilitators to implementing newborn screening. Staffing or inability to hire both laboratory and follow-up staff was the most frequently mentioned barrier.

Newborn bloodspot screening for cystic fibrosis is a valid public health strategy for populations with a high incidence of this inherited condition. There are a wide variety of approaches to screening and in this paper, we propose that a bioethical framework is required to determine the most appropriate screening protocol for a population. This framework depends on the detailed evaluation of the ethical consequences of all screening outcomes and placing these in the context of the genetic profile of the population screened, the geography of the region and the healthcare resources available.