Application of a Novel Algorithm for Expanding Newborn Screening for Inherited Metabolic Disorders across Europe.

algorithm congenital disorder genetics inborn errors of metabolism inherited metabolic disorder (IMD) lysosomal storage disorder (LSD) methodology newborn screening (NBS) public health rare diseases

Journal

International journal of neonatal screening
ISSN: 2409-515X
Titre abrégé: Int J Neonatal Screen
Pays: Switzerland
ID NLM: 101665400

Informations de publication

Date de publication:
15 Mar 2022
Historique:
received: 25 11 2021
revised: 22 02 2022
accepted: 28 02 2022
entrez: 24 3 2022
pubmed: 25 3 2022
medline: 25 3 2022
Statut: epublish

Résumé

Inherited metabolic disorders (IMDs) are mostly rare, have overlapping symptoms, and can be devastating and progressive. However, in many disorders, early intervention can improve long-term outcomes, and newborn screening (NBS) programmes can reduce caregiver stress in the journey to diagnosis and allow patients to receive early, and potentially pre-symptomatic, treatment. Across Europe there are vast discrepancies in the number of IMDs that are screened for and there is an imminent opportunity to accelerate the expansion of evidence-based screening programmes and reduce the disparities in screening programmes across Europe. A comprehensive list of IMDs was created for analysis. A novel NBS evaluation algorithm, described by Burlina et al. in 2021, was used to assess and prioritise IMDs for inclusion on expanded NBS programmes across Europe. Forty-eight IMDs, of which twenty-one were lysosomal storage disorders (LSDs), were identified and assessed with the novel NBS evaluation algorithm. Thirty-five disorders most strongly fulfil the Wilson and Jungner classic screening principles and should be considered for inclusion in NBS programmes across Europe. The recommended disorders should be evaluated at the national level to assess the economic, societal, and political aspects of potential screening programmes.

Identifiants

pubmed: 35323199
pii: ijns8010020
doi: 10.3390/ijns8010020
pmc: PMC8951961
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Simon A Jones (SA)

Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.

David Cheillan (D)

Service Biochimie et Biologie Moléculaire, Groupement Hospitalier Est, Hospices Civils de Lyon, 69002 Lyon, France.

Anupam Chakrapani (A)

Department of Metabolic Medicine, Great Ormond Street Hospital NHS Foundation Trust, London WC1N 3JH, UK.

Heather J Church (HJ)

Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.

Simon Heales (S)

Neurometabolic Unit, University College London Hospitals NHS Foundation Trust and Enzymes Laboratory, Great Ormond Street Hospital NHS Foundation Trust, London WC1N 3JH, UK.

Teresa H Y Wu (THY)

Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.

Georgina Morton (G)

ArchAngel MLD Trust, Registered Charity No. 1157825, 59 Warwick Square, London SW1V 2AL, UK.

Patricia Roberts (P)

ArchAngel MLD Trust, Registered Charity No. 1157825, 59 Warwick Square, London SW1V 2AL, UK.

Erica F Sluys (EF)

Helvet Health, Ruelle de la Muraz 4, 1260 Nyon, Switzerland.

Alberto Burlina (A)

Division of Inherited Metabolic Diseases, Reference Centre Expanded Newborn Screening, University Hospital Padova, 35128 Padova, Italy.

Classifications MeSH