Thirty-years of screening for cystic fibrosis in East Anglia

Jacqui Calvin1, Sarah L Hogg, Donna McShane

  • 1Biochemical Genetics Unit, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, UK. jacqui.calvin@addenbrookes.nhs.uk

Insights

Newborn screening for cystic fibrosis (CF) using IRT-DNA-IRT protocols significantly improved positive predictive value compared to IRT-IRT alone. This enhanced screening detects 95% of CF cases presenting before age three.

Area of Science:

  • Medical screening
  • Pediatric diagnostics
  • Genetic testing

Background:

  • Newborn screening for cystic fibrosis (CF) traditionally uses immunoreactive trypsinogen (IRT) levels.
  • The Norfolk, Suffolk, and Cambridgeshire program evolved from an IRT-IRT protocol to an IRT-DNA-IRT protocol incorporating mutation analysis.

Purpose of the Study:

  • To evaluate the long-term effectiveness and diagnostic yield of two newborn screening protocols for cystic fibrosis.
  • To assess the impact of incorporating DNA analysis on the positive predictive value of CF screening.

Main Methods:

  • Analysis of screening data from 730,730 newborns over 30 years.
  • Comparison of the IRT-IRT protocol with the IRT-DNA-IRT protocol, including mutation analysis.
  • Evaluation of false negative rates and positive predictive values (PPV) for both protocols.

Main Results:

  • The IRT-DNA-IRT protocol demonstrated a significantly improved PPV (85.9%) compared to the IRT-IRT protocol (67.3%), excluding meconium ileus cases.
  • PPVs were higher for well, term infants (82.2% for IRT-IRT, 98.2% for IRT-DNA-IRT).
  • 296 screen-positive CF cases and 29 false negatives were identified; 10 false negatives had meconium ileus.

Conclusions:

  • Newborn screening for CF is a valid strategy, detecting 95% of unsuspected cases presenting before age three.
  • The inclusion of DNA analysis in second-tier testing is the primary factor for the improved PPV.
  • Long-term outcome data collection is crucial for accurate assessment of screening program performance.
Abstract