Literature DB >> 21514290

Detection of TPN contamination of dried blood spots used in newborn and metabolic screening and its impact on quantitative measurement of amino acids.

Donald H Chace1, Víctor R De Jesús, Timothy H Lim, W Harry Hannon, Reese H Clark, Alan R Spitzer.   

Abstract

BACKGROUND: Markers derived from dextrose (d-glucose) are observed in the MS/MS-based acylcarnitine profiles from dried-blood spots of some premature infants receiving intravenous nutrition. The presence of these markers at m/z 325, 399 and 473 are thought to arise from contamination of blood by total parenteral nutrition (TPN) solutions during specimen collection from premature infants. These solutions contain high concentrations of amino acids and as a result, false-positive screening results for amino acid disorders may occur. This study investigates quantitative parameters of dextrose and amino acids in blood samples enriched with different TPN solutions.
METHODS: Whole blood collected in heparin was enriched with three different TPN solutions containing 5, 10 or 12.5% dextrose and amino acids that were originally prepared for delivery of 2.5, 3 or 4 g/kg/day of Premasol® then spotted onto filter paper cards. Acylcarnitine and amino acid profiles using MS/MS were obtained. Ion ratios of dextrose relative to specific acylcarnitine stable isotope internal standards and amino acid concentrations were obtained.
RESULTS: The ion ratios for each of the dextrose markers at m/z 325, 399 and 473 exhibit linearity with the concentration of the dextrose component of TPN added to blood. The lowest detectable dextrose concentration added to blood was 7.6 mmol/l at 1:80 v/v TPN in blood. Furthermore, the concentrations of amino acids were linear with the concentration of the amino acid component of TPN added to blood. At the lowest detectable concentrations of dextrose marker, the amino acid concentrations were at or above the values considered abnormal in newborn screening laboratories. The molar ratios of amino acids approached the relative quantity of amino acid in the TPN solution with increasing enrichments in blood.
CONCLUSIONS: Detection of the combinations of dextrose markers, very high elevations of amino acids and unusual molar ratios can be used to reject a specimen as improperly collected rather than declaring it a false positive and hence reduce false positive rates. This process enhances efficiency, reduces parental anxiety, and improves positive predictive values.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21514290     DOI: 10.1016/j.cca.2011.04.009

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  6 in total

1.  Commentary on the history and quantitative nature of filter paper used in blood collection devices.

Authors:  Víctor R De Jesús; Donald H Chace
Journal:  Bioanalysis       Date:  2012-03       Impact factor: 2.681

2.  Post-Analytical Tools for the Triage of Newborn Screening Results in Follow-up Can Reduce Confirmatory Testing and Guide Performance Improvement.

Authors:  Patricia L Hall; Angela Wittenauer; Arthur Hagar
Journal:  Int J Neonatal Screen       Date:  2020-03-14

3.  Timing of Newborn Blood Collection Alters Metabolic Disease Screening Performance.

Authors:  Gang Peng; Yishuo Tang; Tina M Cowan; Hongyu Zhao; Curt Scharfe
Journal:  Front Pediatr       Date:  2021-01-20       Impact factor: 3.418

4.  Pausing TPN to Decrease Abnormal Newborn Screens: A NICU Quality Initiative.

Authors:  Jaclyn B Wiggins; Marium Khan; Brooke D Vergales
Journal:  Pediatr Qual Saf       Date:  2022-09-15

5.  Damaged goods?: an empirical cohort study of blood specimens collected 12 to 23 hours after birth in newborn screening in California.

Authors:  Hao Tang; Lisa Feuchtbaum; Partha Neogi; Thomson Ho; Leslie Gaffney; Robert J Currier
Journal:  Genet Med       Date:  2015-12-10       Impact factor: 8.822

6.  Postanalytical tools improve performance of newborn screening by tandem mass spectrometry.

Authors:  Patricia L Hall; Gregg Marquardt; David M S McHugh; Robert J Currier; Hao Tang; Stephanie D Stoway; Piero Rinaldo
Journal:  Genet Med       Date:  2014-05-29       Impact factor: 8.822

  6 in total

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