Newborn screening for Krabbe's disease

Joseph J Orsini1, Carlos A Saavedra-Matiz2, Michael H Gelb3

  • 1Laboratory of Human Genetics, Wadsworth Center, New York State Department of Health, Albany, New York. joseph.orsini@health.ny.gov.

Insights

Newborn screening for Krabbe's disease (KD) has identified a low incidence of infantile cases. Ongoing evaluation of screening processes is crucial for improving early detection and management of this rare genetic disorder.

Area of Science:

  • Medical Genetics
  • Neonatal Screening
  • Neurology

Background:

  • Krabbe's disease (KD) is a rare, severe, and progressive neurodegenerative disorder.
  • Early diagnosis and intervention are critical for managing infantile KD, though current treatments are not curative.
  • Live newborn screening programs for KD have been implemented in several US states.

Purpose of the Study:

  • To review the development and implementation of screening and follow-up algorithms for Krabbe's disease (KD) in newborns.
  • To present updated results from KD newborn screening programs in New York and Missouri.
  • To discuss lessons learned and suggest improvements for KD screening to reduce referral rates and identify infants at risk for later-onset forms.

Main Methods:

  • Analysis of data from newborn screening programs in New York and Missouri (August 2006 - August 2015).
  • Review of screening and follow-up algorithm development processes.
  • Evaluation of referral rates and confirmed KD diagnoses.

Main Results:

  • Nearly 2.5 million infants were screened, with 443 (0.018%) referred for follow-up.
  • Only five infants were diagnosed with infantile Krabbe's disease (KD).
  • The combined incidence of infantile KD in New York and Missouri is approximately 1 in 500,000 live births.

Conclusions:

  • Newborn screening for Krabbe's disease (KD) has demonstrated a low incidence of infantile cases.
  • Continuous evaluation and refinement of screening protocols are essential to optimize early detection and management.
  • Further improvements in screening algorithms are needed to reduce false positives and better identify infants at risk for later-onset KD.

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