Am J Perinatol 2024; 41(S 01): e995-e1000
DOI: 10.1055/s-0042-1759720
Original Article

Optimization of Phenylalanine Cut-Off Value in Newborn Screening Based on Blood Sampling Time

Zhijuan Liu
1   Department of Prenatal Diagnosis, Reproductive Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
,
Huiya Jin
1   Department of Prenatal Diagnosis, Reproductive Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
,
Minggang Ye
2   Department of Operation Management, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
,
Rui Han
1   Department of Prenatal Diagnosis, Reproductive Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
,
Ningning Han
1   Department of Prenatal Diagnosis, Reproductive Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
,
1   Department of Prenatal Diagnosis, Reproductive Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
› Institutsangaben

Funding This work was supported by the State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia Fund (grant number: SKL-HIDCA-2020-JZ11).
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Abstract

Objective The aim of this study was to optimize the cut-off value of phenylalanine (Phe) for phenylketonuria (PKU) screening in Xinjiang Uygur Autonomous Region based on the time of blood sampling.

Study Design In this study, 110,806 neonates born in 91 obstetrics and gynecology hospitals of Xinjiang Uygur Autonomous Region between June 2017 and December 2019 were divided into two groups (i.e., groups 1 and 2) based on the sampling time. The concentration of Phe was determined using fluorimetric method. The optimization of the Phe cut-off value was conducted using the receiver operating characteristic curve from the treating set involving 80,354 neonates. Then, the diagnostic values of the optimized Phe cut-off value were evaluated using validation set involving 30,452 neonates, based on the comparison of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) obtained from conventional cut-off value.

Results A range of cut-off values was used for preliminary Phe concentrations in the two groups to analyze the sensitivity, specificity, PPV, and NPV. The optimized cut-off value of Phe in group 1 was 2.0, while that in the group 2 was 2.21. A comparison was given to PPV, NPV, sensitivity, and specificity generated by the optimized cut-off value and the conventional cut-off value, which yielded similar sensitivity, specificity, and PPV, and less recalled number of samples.

Conclusion The optimization of cut-off value of Phe based on sampling time is feasible for PKU screening in Xinjiang Uygur Autonomous Region. In addition, the false positive rate was significantly reduced, which may save more efforts in sample recalling process.

Key Points

  • The optimization of Phe cut-off value for Xinjiang Region.

  • The optimized cut-off value reduced the recalling samples.

  • Our cut-off value is feasible for PKU screening in Xinjiang.

Ethical Approval

Research involving human subjects complied with all relevant national regulations and institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University (approval no.: K202103–01).


Patient Consent

Informed consent was obtained from the parents of each participant.


Authors' Contributions

Z. L. and H. J. conceptualized and designed the study, analyzed data, and drafted the manuscript. M. Y., R. H., and N. H. collected the data and helped in data analysis. J. Z. revised the manuscript. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.


Data Availability Statement

All data generated or analyzed during this study are included in this published article and its supplementary information files.


Supplementary Material



Publikationsverlauf

Eingereicht: 27. Juni 2022

Angenommen: 02. November 2022

Artikel online veröffentlicht:
30. Dezember 2022

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