Jones, SA;
Cheillan, D;
Chakrapani, A;
Church, HJ;
Heales, S;
Wu, THY;
Morton, G;
... Burlina, A; + view all
(2022)
Application of a Novel Algorithm for Expanding Newborn Screening for Inherited Metabolic Disorders across Europe.
International Journal of Neonatal Screening
, 8
(1)
, Article 20. 10.3390/ijns8010020.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Application of a Novel Algorithm for Expanding Newborn Screening for Inherited Metabolic Disorders across Europe |
| Location: | Switzerland |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/ijns8010020 |
| Publisher version: | https://doi.org/10.3390/ijns8010020 |
| Language: | English |
| Additional information: | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
| Keywords: | algorithm, congenital disorder, genetics, inborn errors of metabolism, inherited metabolic disorder (IMD), lysosomal storage disorder (LSD), methodology, newborn screening (NBS), public health, rare diseases |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Genetics and Genomic Medicine Dept UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10146955 |
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