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Odenwald B, Brockow I, Hanauer M, Lüders A, Nennstiel U. Is Our Newborn Screening Working Well? A Literature Review of Quality Requirements for Newborn Blood Spot Screening (NBS) Infrastructure and Procedures. Int J Neonatal Screen 2023; 9:35. [PMID: 37489488 PMCID: PMC10366861 DOI: 10.3390/ijns9030035] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/12/2023] [Accepted: 06/16/2023] [Indexed: 07/26/2023] Open
Abstract
Newborn screening using dried blood spots (NBS) is widely acknowledged as a highly successful procedure in secondary prevention. For a number of congenital disorders, severe disability or death are impressively prevented by early detection and early treatment through NBS. However, as with any other screening, NBS can also cause harm, and the principle that "the overall benefits of screening should outweigh the harms" must be considered when introducing and implementing NBS programmes. This publication compiles the results of a systematic literature research on requirements for NBS infrastructure and procedures which was conducted as part of a research project on the quality and shortcomings of the NBS pathway in Germany. The compilation contains the requirements and recommendations for realising the principle of "maximise benefits and minimise harms" in relevant NBS pathway components such as parental education and information, coverage, timeliness, laboratory quality assurance, follow-up of abnormal results, confirmatory diagnostics, documentation, and evaluation. The results reflect the complexity of NBS infrastructure, and thus, they illustrate the importance of considering and implementing NBS as a well-coordinated public health programme with continuous quality management. Special attention should be paid to the perspectives of parents and families. Some NBS issues can substantially benefit from digital instruments or international cooperation. The literature review presented here has contributed to a concept of proposals for the advancement of NBS in Germany, and despite different settings, it may as well be of interest for other countries to achieve the best possible course and outcome of NBS for each child.
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Affiliation(s)
- Birgit Odenwald
- Newborn Screening Centre/State Institute of Health, Bavarian Health and Food Safety Authority, 85764 Oberschleissheim, Germany
| | | | | | | | - Uta Nennstiel
- Newborn Screening Centre/State Institute of Health, Bavarian Health and Food Safety Authority, 85764 Oberschleissheim, Germany
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la Marca G, Carling RS, Moat SJ, Yahyaoui R, Ranieri E, Bonham JR, Schielen PCJI. Current State and Innovations in Newborn Screening: Continuing to Do Good and Avoid Harm. Int J Neonatal Screen 2023; 9:ijns9010015. [PMID: 36975853 PMCID: PMC10057559 DOI: 10.3390/ijns9010015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 03/29/2023] Open
Abstract
In 1963, Robert Guthrie's pioneering work developing a bacterial inhibition assay to measure phenylalanine in dried blood spots, provided the means for whole-population screening to detect phenylketonuria in the USA. In the following decades, NBS became firmly established as a part of public health in developed countries. Technological advances allowed for the addition of new disorders into routine programmes and thereby resulted in a paradigm shift. Today, technological advances in immunological methods, tandem mass spectrometry, PCR techniques, DNA sequencing for mutational variant analysis, ultra-high performance liquid chromatography (UPLC), iso-electric focusing, and digital microfluidics are employed in the NBS laboratory to detect more than 60 disorders. In this review, we will provide the current state of methodological advances that have been introduced into NBS. Particularly, 'second-tier' methods have significantly improved both the specificity and sensitivity of testing. We will also present how proteomic and metabolomic techniques can potentially improve screening strategies to reduce the number of false-positive results and improve the prediction of pathogenicity. Additionally, we discuss the application of complex, multiparameter statistical procedures that use large datasets and statistical algorithms to improve the predictive outcomes of tests. Future developments, utilizing genomic techniques, are also likely to play an increasingly important role, possibly combined with artificial intelligence (AI)-driven software. We will consider the balance required to harness the potential of these new advances whilst maintaining the benefits and reducing the risks for harm associated with all screening.
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Affiliation(s)
- Giancarlo la Marca
- Newborn Screening, Clinical Chemistry and Pharmacology Lab, IRCCS Meyer Children's University Hospital, 50139 Florence, Italy
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50139 Florence, Italy
| | - Rachel S Carling
- Biochemical Sciences, Viapath, Guys & St Thomas' NHSFT, London SE1 7EH, UK
- GKT School of Medical Education, Kings College London, London SE1 1UL, UK
| | - Stuart J Moat
- Department of Medical Biochemistry, Immunology & Toxicology, University Hospital Wales, Cardiff CF14 4XW, UK
- School of Medicine, Cardiff University, University Hospital Wales, Cardiff CF14 4XW, UK
| | - Raquel Yahyaoui
- Laboratory of Metabolic Disorders and Newborn Screening Center of Eastern Andalusia, Málaga Regional University Hospital, Institute of Biomedical Research in Malaga (IBIMA-Plataforma BIONAND), Avenida Arroyo de los Angeles s/n, 29011 Malaga, Spain
| | - Enzo Ranieri
- Biochemical Genetics, Genetics and Molecular Pathology, SA Pathology, Women's & Children's Hospital, Adelaide 5043, Australia
| | - James R Bonham
- Sheffield Children's NHS Foundation Trust, Western Bank, Sheffield S10 2TH, UK
| | - Peter C J I Schielen
- International Society for Neonatal Screening, Reigerskamp 273, 3607 HP Stichtse Vecht, The Netherlands
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Lee B, Heo WY, Kim JA, Lee HS, Hwang N, Park HD, Sung SI, Chang YS, Park WS, Lee SY. Comprehensive Evaluation of the NeoBase 2 Non-derivatized MSMS Assay and Exploration of Analytes With Significantly Different Concentrations Between Term and Preterm Neonates. Ann Lab Med 2023; 43:153-166. [PMID: 36281509 PMCID: PMC9618896 DOI: 10.3343/alm.2023.43.2.153] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/27/2022] [Accepted: 09/29/2022] [Indexed: 11/06/2022] Open
Abstract
Background Despite the popularity of the NeoBase 2 Non-derivatized MSMS assay (PerkinElmer, Turku, Finland), there are no reports of its comprehensive evaluation, including the ability to distinguish transient tyrosinemia of the newborn (TTN) from tyrosinemia type 1 (TYR 1) using succinylacetone (SUAC). No newborn screening (NBS) cutoffs for preterm neonates in the Korean population have been suggested. We evaluated the NeoBase 2 assay and identified analytes requiring different cutoffs in preterm neonates. Methods Residual NBS dried blood spot samples and proficiency testing (PT) materials of the Newborn Screening Quality Assurance Program and the Korean Association of External Quality Assessment Service were used. Precision, accuracy, limit of detection (LOD), lower limit of quantification (LLOQ), linearity, recovery, carryover, and performance of SUAC were evaluated. Cutoffs were determined, and analytes requiring different cutoffs in preterm neonates were investigated. Results Mean CVs for within-run and between-day precision were within 15%. Accuracy analysis indicated high agreement with in-house derivatized assay results and results of other PT participants. All analytes demonstrated acceptable LOD, LLOQ, and linearity. Recoveries were acceptable, except for SUAC. Carryover was negligible. Cutoffs were established for all analytes; Tyr, adenosine, and C20:0-lysophosphatidylcholine required different cutoffs in preterm neonates. Differential diagnosis of TYR 1 and TTN was successful with simultaneous Tyr and SUAC measurement. Conclusions The NeoBase 2 assay demonstrated satisfactory performance. The additional analytes provide a wider diagnostic coverage, and the simultaneous measurement of Tyr and SUAC is efficient in excluding TYR 1. The new cutoffs for preterm neonates may decrease false-positive rates, without compromising diagnostic sensitivity.
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Affiliation(s)
- Beomki Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Young Heo
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jee Ah Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyun-Seung Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Narae Hwang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyung-Doo Park
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se In Sung
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yun Sil Chang
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Soon Park
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo-Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Dorley MC, Dizikes GJ, Pickens CA, Cuthbert C, Basheeruddin K, Gulamali-Majid F, Hetterich P, Hietala A, Kelsey A, Klug T, Lesko B, Mills M, Moloney S, Neogi P, Orsini J, Singer D, Petritis K. Harmonization of Newborn Screening Results for Pompe Disease and Mucopolysaccharidosis Type I. Int J Neonatal Screen 2023; 9:ijns9010011. [PMID: 36975849 PMCID: PMC10059896 DOI: 10.3390/ijns9010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 03/29/2023] Open
Abstract
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.
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Affiliation(s)
- M Christine Dorley
- Tennessee Department of Health, Division of Laboratory Services, Nashville, TN 37243, USA
- College of Health Sciences & Public Policy, Walden University, Minneapolis, MN 55401, USA
| | - George J Dizikes
- Tennessee Department of Health, Division of Laboratory Services, Knoxville, TN 37920, USA
| | - Charles Austin Pickens
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Carla Cuthbert
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | | | | | - Paul Hetterich
- Virginia Department of General Services, Division of Consolidated Laboratory Services, Richmond, VA 23219, USA
| | - Amy Hietala
- Minnesota Department of Health, St. Paul, MN 55155, USA
| | - Ashley Kelsey
- Michigan Department of Health & Human Services, Lansing, MI 48906, USA
| | - Tracy Klug
- Missouri State Public Health Laboratory, Jefferson City, MO 65101, USA
| | - Barbara Lesko
- Department of Pathology, Indiana University, Indianapolis, IN 46202, USA
| | - Michelle Mills
- Kansas Health and Environmental Laboratories, Topeka, KS 66620, USA
| | - Shawn Moloney
- Michigan Department of Health & Human Services, Lansing, MI 48906, USA
| | - Partha Neogi
- California Department of Public Health, Richmond, CA 94804, USA
| | - Joseph Orsini
- Wadsworth Center, New York State Department of Health, Albany, NY 12208, USA
| | | | - Konstantinos Petritis
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
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Peng G, Zhang Y, Zhao H, Scharfe C. dbRUSP: An Interactive Database to Investigate Inborn Metabolic Differences for Improved Genetic Disease Screening. Int J Neonatal Screen 2022; 8:ijns8030048. [PMID: 36135348 PMCID: PMC9504335 DOI: 10.3390/ijns8030048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 11/17/2022] Open
Abstract
The Recommended Uniform Screening Panel (RUSP) contains more than forty metabolic disorders recommended for inclusion in universal newborn screening (NBS). Tandem-mass-spectrometry-based screening of metabolic analytes in dried blood spot samples identifies most affected newborns, along with a number of false positive results. Due to their influence on blood metabolite levels, continuous and categorical covariates such as gestational age, birth weight, age at blood collection, sex, parent-reported ethnicity, and parenteral nutrition status have been shown to reduce the accuracy of screening. Here, we developed a database and web-based tools (dbRUSP) for the analysis of 41 NBS metabolites and six variables for a cohort of 500,539 screen-negative newborns reported by the California NBS program. The interactive database, built using the R shiny package, contains separate modules to study the influence of single variables and joint effects of multiple variables on metabolite levels. Users can input an individual's variables to obtain metabolite level reference ranges and utilize dbRUSP to select new candidate markers for the detection of metabolic conditions. The open-source format facilitates the development of data mining algorithms that incorporate the influence of covariates on metabolism to increase accuracy in genetic disease screening.
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Affiliation(s)
- Gang Peng
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Yunxuan Zhang
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Curt Scharfe
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
- Correspondence:
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Arginine, as a Key Indicator for Real-Time Stability Monitoring of Quality Control in the Newborn Screening Test Using Dried Blood Spot. SEPARATIONS 2021. [DOI: 10.3390/separations8110201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Dried blood spots (DBS) have advantages such as minimizing blood collection volume and the distress to neonate. DBS have been used for tandem mass spectrometry (MS/MS)-based newborn screening tests (NST) of amino acid (AA) and acylcarnitine. The Newborn Screening Quality Assurance Program (NSQAP) have been provided quality control (QC) materials for MS/MS, as DBS cards. The NSQAP is generally provided within 14 months of the shelf life and the recommended storage condition is at −10 °C to −30 °C. Previously, several accelerated degradation studies had been performed to determine the transportation stability and short-term stability of AAs and acylcarnitines in DBS. However, the experimental condition is markedly different to the storage condition. We performed long-term monitoring for the real-time stability of seven AAs and 14 acylcarnitines from three levels of 2012 NSQAP QC materials across a time period of 788 days. Arginine suddenly yielded a catastrophic degeneration pattern, which started around D300. When comparing this with previous accelerated degradation studies, methionine, tyrosine, citrulline, and acetylcarnitine did not show a remarkable measurand drift for the real-time stability, except for arginine. Our study showed that arginine would require intensive QC monitoring in routine practice, and should be used for the assessment of the stability in long-term storage of DBS samples for biobanking.
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