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Long-term follow-up of newborn screening patients

Susan A Berry1, Michele A Lloyd-Puryear, Michael S Watson

  • 1Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota 55455, USA. berry002@umn.edu

Insights

Newborn screening advances enable better treatment strategies for screened conditions. This work establishes a foundation for national planning of common data sets for long-term follow-up of infants identified through newborn bloodspot screening.

Area of Science:

  • Genetics
  • Pediatrics
  • Public Health

Background:

  • Newborn screening technologies are evolving, enabling improved treatment strategies for identified conditions.
  • Multiple federal initiatives support long-term follow-up assessments for children identified through newborn screening.
  • Inborn errors of metabolism are a key focus for newborn bloodspot screening programs.

Purpose of the Study:

  • To review pilot projects for systematic long-term follow-up of infants with inborn errors of metabolism.
  • To establish a foundation for national planning of a common data set for long-term follow-up.
  • To summarize initial projects from a national coordinating center work group.

Main Methods:

  • Convening a National Coordinating Center Long-Term Follow-Up Data Collection Work Group.
  • Reviewing pilot projects from Health Resources and Services Administration-sponsored Regional Genetics Collaboratives.
  • Facilitating collaboration among federal agencies and regional partners.

Main Results:

  • Pilot projects demonstrated progress in systematic long-term follow-up for screened infants.
  • Identified needs and opportunities for a national common data set.
  • Highlighted the importance of collaborative efforts in data collection.

Conclusions:

  • A common data set is crucial for effective long-term follow-up of newbornscreened children.
  • Continued collaboration is essential for advancing national newborn screening follow-up strategies.
  • The reviewed projects provide a basis for future national planning and data standardization.