Cystic fibrosis newborn screening: using experience to optimize the screening algorithm
Hale, Jaime E ; Parad, Richard B. ; Dorkin, Henry L. ; Gerstle, Robert ; Lapey, Allen ; O'Sullivan, Brian P. ; Spencer, L. Terry ; Yee, William ; Comeau, Anne Marie
Citations
Student Authors
Faculty Advisor
Academic Program
UMass Chan Affiliations
Document Type
Publication Date
Keywords
Biological Markers
Chlorides
Cystic Fibrosis
Cystic Fibrosis Transmembrane Conductance Regulator
DNA Mutational Analysis
Genetic Testing
Humans
Immunoassay
Infant, Newborn
Massachusetts
Mutation
*Neonatal Screening
Predictive Value of Tests
Primary Health Care
Program Development
Program Evaluation
Quality Indicators, Health Care
Retrospective Studies
Sweat
Trypsinogen
Allergy and Immunology
Digestive System Diseases
Pediatrics
Respiratory Tract Diseases
Subject Area
Embargo Expiration Date
Link to Full Text
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.
Source
J Inherit Metab Dis. 2010 Oct;33(Suppl 2):S255-61. Epub 2010 Jun 3. Link to article on publisher's site