Literature DB >> 19171585

Clarification of laboratory and clinical variables that influence cystic fibrosis newborn screening with initial analysis of immunoreactive trypsinogen.

Molly Kloosterboer1, Gary Hoffman, Michael Rock, William Gershan, Anita Laxova, Zhanhai Li, Philip M Farrell.   

Abstract

OBJECTIVES: To ensure that each newborn receives an equitable test of the highest possible sensitivity, we recognized the necessity to reassess immunoreactive trypsinogen and DNA issues in cystic fibrosis newborn screening algorithms. Our objectives included clarification of various factors that influence immunoreactive trypsinogen concentrations and resolution of long-standing questions about variations in immunoreactive trypsinogen levels among newborns.
METHODS: Immunoreactive trypsinogen data on 660443 newborns who were born between July 1, 1994, and June 30, 2004, were abstracted from the Wisconsin State Laboratory of Hygiene databases and deidentified for analysis. Using a compiled data set, we analyzed various demographic characteristics to determine their role, if any, in immunoreactive trypsinogen variation. Specifically, season of birth, reagent lot, and birth weight were examined. Sensitivities of the most common cystic fibrosis newborn screening protocols, namely immunoreactive trypsinogen/immunoreactive trypsinogen and immunoreactive trypsinogen/DNA, were also investigated.
RESULTS: Mean and 95th percentile immunoreactive trypsinogen levels were shown to vary by both season and reagent lot number and affect sensitivity of the assay. Low birth weight infants had significantly higher immunoreactive trypsinogen values than normal birth weight infants. Sensitivities were also found to vary on the basis of the algorithm used, with the highest sensitivity of 96.2% calculated for an immunoreactive trypsinogen/DNA protocol with 23 cystic fibrosis transmembrane conductance regulator mutation analyses compared with 80.2% with the immunoreactive trypsinogen/immunoreactive trypsinogen method used in 9 states.
CONCLUSIONS: Floating, rather than fixed, cutoff values for the initial immunoreactive trypsinogen portion of any cystic fibrosis newborn screening protocol are generally necessary on the basis of the seasonal and reagent lot variations observed. Because of its lower sensitivity, immunoreactive trypsinogen/immunoreactive trypsinogen does not optimize detection of patients with cystic fibrosis.

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Year:  2009        PMID: 19171585     DOI: 10.1542/peds.2008-1681

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  22 in total

1.  A decision-tree approach to cost comparison of newborn screening strategies for cystic fibrosis.

Authors:  Janelle Wells; Marjorie Rosenberg; Gary Hoffman; Michael Anstead; Philip M Farrell
Journal:  Pediatrics       Date:  2012-01-30       Impact factor: 7.124

2.  Newborn screening.

Authors:  James J Pitt
Journal:  Clin Biochem Rev       Date:  2010-05

3.  The need for vigilance: the case of a false-negative newborn screen for cystic fibrosis.

Authors:  Christina T Dunn; Mary M Skrypek; Amy L R Powers; Theresa A Laguna
Journal:  Pediatrics       Date:  2011-07-04       Impact factor: 7.124

4.  Comparing age of cystic fibrosis diagnosis and treatment initiation after newborn screening with two common strategies.

Authors:  Don B Sanders; Huichuan J Lai; Michael J Rock; Philip M Farrell
Journal:  J Cyst Fibros       Date:  2011-11-21       Impact factor: 5.482

5.  The influence of seasonality and manufacturer kit lot changes on 17α-hydroxyprogesterone measurements and referral rates of congenital adrenal hyperplasia in newborns.

Authors:  Melissa Pearce; Erin Dauerer; A Gregory DiRienzo; Michele Caggana; Norma P Tavakoli
Journal:  Eur J Pediatr       Date:  2016-11-29       Impact factor: 3.183

6.  Factors accounting for a missed diagnosis of cystic fibrosis after newborn screening.

Authors:  Michael J Rock; Hara Levy; Christina Zaleski; Philip M Farrell
Journal:  Pediatr Pulmonol       Date:  2011-08-24

7.  Clinical and environmental influences on metabolic biomarkers collected for newborn screening.

Authors:  Kelli K Ryckman; Stanton L Berberich; Oleg A Shchelochkov; Daniel E Cook; Jeffrey C Murray
Journal:  Clin Biochem       Date:  2012-09-23       Impact factor: 3.281

8.  Optimal DNA tier for the IRT/DNA algorithm determined by CFTR mutation results over 14 years of newborn screening.

Authors:  Mei W Baker; Molly Groose; Gary Hoffman; Michael Rock; Hara Levy; Philip M Farrell
Journal:  J Cyst Fibros       Date:  2011-03-08       Impact factor: 5.482

9.  Refining the continuum of CFTR-associated disorders in the era of newborn screening.

Authors:  H Levy; M Nugent; K Schneck; D Stachiw-Hietpas; A Laxova; O Lakser; M Rock; M K Dahmer; J Biller; S Z Nasr; M Baker; S A McColley; P Simpson; P M Farrell
Journal:  Clin Genet       Date:  2016-01-20       Impact factor: 4.438

Review 10.  False negative newborn screen and neonatal cholestasis in a premature child with cystic fibrosis.

Authors:  J F Heidendael; M M Tabbers; I De Vreede
Journal:  Eur J Pediatr       Date:  2013-08-15       Impact factor: 3.183

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