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Cystic fibrosis newborn screening: using experience to optimize the screening algorithm.
- Source :
-
Journal of inherited metabolic disease [J Inherit Metab Dis] 2010 Oct; Vol. 33 (Suppl 2), pp. S255-61. Date of Electronic Publication: 2010 Jun 03. - Publication Year :
- 2010
-
Abstract
- Newborn screening (NBS) for cystic fibrosis (CF) offers the opportunity for early diagnosis and improved outcomes in patients with CF and has been universally available in the state of Massachusetts since 1999 using an immunoreactive trypsinogen (IRT)-DNA algorithm. Ideally, CF NBS is incorporated as part of an integrated NBS system that allows for comprehensive and coordinated education, laboratory screening, clinical follow-up, and evaluation so that evidence-based data can be used to maximize quality improvements and optimize the screening algorithm. The New England Newborn Screening Program (NENSP) retrospectively analyzed Massachusetts's CF newborn screening data that yielded decisions to eliminate a screen-positive category, maintain the IRT cutoff value that prompts the second tier DNA testing, and communicate CF relative risk to primary care providers (PCPs) based on categorization of positive CF NBS results.
- Subjects :
- Biomarkers blood
Chlorides analysis
Cystic Fibrosis blood
Cystic Fibrosis genetics
Cystic Fibrosis Transmembrane Conductance Regulator genetics
DNA Mutational Analysis
Genetic Testing
Humans
Immunoassay
Infant, Newborn
Massachusetts
Mutation
Predictive Value of Tests
Primary Health Care
Program Development
Program Evaluation
Quality Indicators, Health Care
Retrospective Studies
Sweat chemistry
Trypsinogen blood
Algorithms
Cystic Fibrosis diagnosis
Neonatal Screening methods
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2665
- Volume :
- 33
- Issue :
- Suppl 2
- Database :
- MEDLINE
- Journal :
- Journal of inherited metabolic disease
- Publication Type :
- Academic Journal
- Accession number :
- 20521170
- Full Text :
- https://doi.org/10.1007/s10545-010-9117-3