Harmonization of Newborn Screening Results for Pompe Disease and Mucopolysaccharidosis Type I.
Mary Christine DorleyGeorge J DizikesCharles Austin PickensCarla CuthbertKhaja BasheeruddinFizza Gulamali-MajidPaul HetterichAmy HietalaAshley KelseyTracy KlugBarbara LeskoMichelle MillsShawn MoloneyPartha NeogiJoseph OrsiniDouglas SingerKonstantinos PetritisPublished in: International journal of neonatal screening (2023)
In newborn screening, false-negative results can be disastrous, leading to disability and death, while false-positive results contribute to parental anxiety and unnecessary follow-ups. Cutoffs are set conservatively to prevent missed cases for Pompe and MPS I, resulting in increased falsepositive results and lower positive predictive values. Harmonization has been proposed as a way to minimize false-negative and false-positive results and correct for method differences, so we harmonized enzyme activities for Pompe and MPS I across laboratories and testing methods (Tandem Mass Spectrometry (MS/MS) or Digital Microfluidics (DMF)). Participating states analyzed proofof- concept calibrators, blanks, and contrived specimens and reported enzyme activities, cutoffs, and other testing parameters to Tennessee. Regression and multiples of the median were used to harmonize the data. We observed varied cutoffs and results. Six of seven MS/MS labs reported enzyme activities for one specimen for MPS I marginally above their respective cutoffs with results classified as negative, whereas all DMF labs reported this specimen's enzyme activity below their respective cutoffs with results classified as positive. Reasonable agreement in enzyme activities and cutoffs was achieved with harmonization; however, harmonization does not change how a value would be reported as this is dependent on the placement of cutoffs.
Keyphrases
- ms ms
- late onset
- replacement therapy
- tandem mass spectrometry
- ultra high performance liquid chromatography
- high performance liquid chromatography
- simultaneous determination
- liquid chromatography
- liquid chromatography tandem mass spectrometry
- early onset
- solid phase extraction
- depressive symptoms
- machine learning
- deep learning
- big data
- data analysis