Hematocrit correction does not improve glucose monitor accuracy in the assessment of neonatal hypoglycemia
-
Li Wang
, John L. Sievenpiper
Abstract
Background: The lack of accuracy of point of care (POC) glucose monitors has limited their use in the diagnosis of neonatal hypoglycemia. Hematocrit plays an important role in explaining discordant results. The objective of this study was to to assess the effect of hematocrit on the diagnostic performance of Abbott Precision Xceed Pro (PXP) and Nova StatStrip (StatStrip) monitors in neonates.
Methods: All blood samples ordered for laboratory glucose measurement were analyzed using the PXP and StatStrip and compared with the laboratory analyzer (ABL 800 Blood Gas analyzer [ABL]). Acceptable error targets were ±15% for glucose monitoring and ±5% for diagnosis.
Results: A total of 307 samples from 176 neonates were analyzed. Overall, 90% of StatStrip and 75% of PXP values met the 15% error limit and 45% of StatStrip and 32% of PXP values met the 5% error limit. At glucose concentrations ≤4 mmol/L, 83% of StatStrip and 79% of PXP values met the 15% error limit, while 37% of StatStrip and 38% of PXP values met the 5% error limit. Hematocrit explained 7.4% of the difference between the PXP and ABL whereas it accounted for only 0.09% of the difference between the StatStrip and ABL. The ROC analysis showed the screening cut point with the best performance for identifying neonatal hypoglycemia was 3.2 mmol/L for StatStrip and 3.3 mmol/L for PXP.
Conclusions: Despite a negligible hematocrit effect for the StatStrip, it did not achieve recommended error limits. The StatStrip and PXP glucose monitors remain suitable only for neonatal hypoglycemia screening with confirmation required from a laboratory analyzer.
We sincerely thank Dr. Lauren Griffith for her assistance in the interpretation of the statistical analyses. We kindly acknowledge the support of the vendors for providing glucose devices and reagents, and for the training of the technologists. We are also grateful to all the nurses and technologists who helped in this study.
Conflict of interest statement
Authors’ conflict of interest disclosure: The authors stated that there are no conflicts of interest regarding the publication of this article. Research funding played no role in thestudy design; in the collection, analysis, and interpretationof data; in the writing of the report; or in the decision tosubmit the report for publication.
Research funding: Funding was provided to LW by a Resident Research Grant from the Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University. Nova Biomedical Co. kindly provided two Nova StatStrip glucose monitors and test strips for this study; Abbott Co. provided Abbott PXP test strips for this study.
Employment or leadership: None declared.
Honorarium: Dr. L. Sievenpiper has received travel expenses and honoraria from Abbott Laboratories Ltd. in relation to nutrition consulting work which is unrelated to this paper. Dr. Fusch has received an honorarium for a workshop on infant nutrition from Abbott Laboratories Ltd. which is unrelated to this paper. None of the other authors report any conflicts of interest related to this paper.
Contributor’s statement: Dr. Li Wang and Dr. John L. Sievenpiper cowrote the manuscript; Drs. Li Wang, Cynthia Balion, Vijaylaxmi Grey, Christoph Fusch and Susan Blatz conceived and designed the research; Drs. Li Wang, John L. Sievenpiper and Vijaylaxmi Grey conducted the research; Drs. Christoph Fusch, Michele Thomaz and Susan Blatz coordinated participant recruitment. Dr. Russell J. de Souza assisted in statistical analysis and contributed to writing of the manuscript. All authors critically revised the manuscript for important intellectual content and approved the final version of the manuscript for publication.
References
1. Burns CM, Rutherford MA, Boardman JP, Cowan FM. Patterns of cerebral injury and neurodevelopmental outcomes after symptomatic neonatal hypoglycemia. Pediatrics 2008;122:65–74.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000257271200010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1542/peds.2007-2822Search in Google Scholar PubMed
2. Tam EW, Widjaja E, Blaser SI, Macgregor DL, Satodia P, Moore AM. Occipital lobe injury and cortical visual outcomes after neonatal hypoglycemia. Pediatrics 2008;122:507–12.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000258822600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1542/peds.2007-2002Search in Google Scholar PubMed
3. Stanley CA, Baker L. The causes of neonatal hypoglycemia. N Engl J Med 1999;340:1200–1.10.1056/NEJM199904153401510Search in Google Scholar PubMed
4. Cornblath M, Hawdon JM, Williams AF, Aynsley-Green A, Ward-Platt MP, Schwartz R, et al. Controversies regarding definition of neonatal hypoglycemia: suggested operational thresholds. Pediatrics 2000;105:1141–5.10.1542/peds.105.5.1141Search in Google Scholar PubMed
5. Canadian Paediatric Society. Screening guidelines for newborns at risk for low blood glucose. Paediatr Child Health 2004;9:723–9.10.1093/pch/9.10.723Search in Google Scholar PubMed PubMed Central
6. Committee on Fetus and Newborn, Adamkin DH. Postnatal glucose homeostasis in late-preterm and term infants. Pediatric 2011;127:575–9.10.1542/peds.2010-3851Search in Google Scholar PubMed
7. Balion C, Grey V, Ismaila A, Blatz S, Seidlitz W. Screening for hypoglycemia at the bedside in the neonatal intensive care unit (NICU) with the Abbott PCx glucose meter. BMC Pediatr 2006;6:28.10.1186/1471-2431-6-28Search in Google Scholar PubMed PubMed Central
8. Deshpande S, Ward Platt M. The investigation and management of neonatal hypoglycaemia. Semin Fetal Neonatal Med 2005;10:351–61.10.1016/j.siny.2005.04.002Search in Google Scholar PubMed
9. Kost GJ, Vu HT, Lee JH, Bourgeois P, Kiechle FL, Martin C, et al. Multicenter study of oxygen-insensitive handheld glucose point-of-care testing in critical care/hospital/ambulatory patients in the United States and Canada. Crit Care Med 1998;26:581–90.10.1097/00003246-199803000-00036Search in Google Scholar PubMed
10. Cornblath M, Schwartz R, Aynsley-Green A, Lloyd JK. Hypoglycemia in infancy: the need for a rational definition. A CIBA foundation discussion meeting. Pediatric 1990;85:834–7.10.1542/peds.85.5.834Search in Google Scholar PubMed
11. Cohen J. Statistical power analysis for the behavioral sciences, 2nd ed. New Jersey: Lawrence Erlbaum, 1988.Search in Google Scholar
12. Raudenbush SW, Bryk AS. Hierarchical linear models, 2nd ed. Thousand Oaks: Sage Publications, 2002.Search in Google Scholar
13. Kliegman RM, Stanton BF, St. Geme III JW, Schor NF, Behrman RE. Nelson textbook of pediatrics, 19th ed. Philadelphia, PA: Elsevier/Saunders, 2011.Search in Google Scholar
14. Dacombe CM, Dalton RG, Goldie DJ, Osborne JP. Effect of packed cell volume on blood glucose estimations. Arch Dis Child 1981;56:789–91.10.1136/adc.56.10.789Search in Google Scholar PubMed PubMed Central
15. D’Orazio P, Burnett RW, Fogh-Andersen N, Jacobs E, Kuwa K, Külpmann WR, et al. Approved IFCC recommendation on reporting results for blood glucose (abbreviated). Clin Chem 2005;51:1573–6.10.1373/clinchem.2005.051979Search in Google Scholar PubMed
16. Fogh-Andersen N, D’Orazio P. Proposal for standardizing direct-reading biosensors for blood glucose. Clin Chem 1998;44:655–9.10.1093/clinchem/44.3.655Search in Google Scholar
17. Jopling J, Henry E, Wiedmeier SE, Christensen RD. Reference ranges for hematocrit and blood hemoglobin concentration during the neonatal period: data from a multihospital health care system. Pediatric 2009;123:e333–7.10.1542/peds.2008-2654Search in Google Scholar PubMed
18. TNO Center for Medical Technology Quality guideline for non-implantable portable blood glucose monitors for self-monitoring.TNO-CMT/90.021E. Netherlands: TNO Center for Medical Technology, 1991.Search in Google Scholar
19. International Organization for Standardization. In vitro diagnostic test systems: requirements for blood glucose monitoring systems for self-testing in managing diabetes mellitus (ISO 15197). Geneva: International Organization for Standardization, 2003.Search in Google Scholar
20. American Diabetes Association. Self-monitoring of blood glucose. Diabetes Care 1996;19:S62–6.10.2337/diacare.19.1.S62Search in Google Scholar
21. CLSI/NCCLS. Point-of-care blood glucose testing in acute and chronic care facilities: approved guideline, 2nd ed. CLSI/NCCLS document C30-A2. Wayne, PA: NCCLS, 2002.Search in Google Scholar
22. Krouwer JS, Cembrowski GS. A review of standards and statistics used to describe blood glucose monitor performance. J Diabetes Sci Technol 2010;4:75–83.10.1177/193229681000400110Search in Google Scholar PubMed PubMed Central
23. Tonyushkina K, Nichols JH. Glucose meters: a review of technical challenges to obtaining accurate results. J Diabetes Sci Technol 2009;3:971–80.10.1177/193229680900300446Search in Google Scholar PubMed PubMed Central
24. Mahoney J, Ellison J. Assessing the quality of glucose monitor studies: a critical evaluation of published reports. Clin Chem 2007;53:1122–8.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000246830300021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1373/clinchem.2006.083493Search in Google Scholar PubMed
25. Clarke WL, Anderson S, Farhy L, Breton M, Gonder-Frederick L, Cox D, et al. Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis. Diabetes Care 2005;28:2412–7.10.2337/diacare.28.10.2412Search in Google Scholar PubMed
26. NACB LMPG Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Washington: NACB, 2011.Search in Google Scholar
27. Nuntnarumit P, Chittamma A, Pongmee P, Tangnoo A, Goonthon S. Clinical performance of the new glucometer in the nursery and neonatal intensive care unit. Pediatr Int 2011;53:218–23.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000289683100016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1111/j.1442-200X.2010.03214.xSearch in Google Scholar PubMed
28. Kanji S, Buffie J, Hutton B, Bunting PS, Singh A, McDonald K, et al. Reliability of point-of-care testing for glucose measurement in critically ill adults. Crit Care Med 2005;33:2778–85.10.1097/01.CCM.0000189939.10881.60Search in Google Scholar PubMed
29. Presti B, Kircher T, Reed C. Capillary blood glucose monitor. Evaluation in a newborn nursery. Clin Pediatr (Phila) 1989;28:412–5.10.1177/000992288902800907Search in Google Scholar PubMed
30. Mikesh LM, Bruns DE. Stabilization of glucose in blood specimens: mechanism of delay in fluoride inhibition of glycolysis. Clin Chem 2008;54:930–2.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000255344600026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1373/clinchem.2007.102160Search in Google Scholar PubMed
©2013 by Walter de Gruyter Berlin Boston
Articles in the same Issue
- Letters to the Editors
- Clinical utility of serum tumor markers and cytokines in cervical cancer and neoplasia
- Establishing reference intervals for LDL subfractions in a Korean population using the Lipoprint LDL system
- Measurement imprecision of common urinary biochemical analytes on the Roche Cobas 6000 system
- A comparison between turbidimetric inhibition immunoassay and capillary electrophoresis in glycated hemoglobin (HbA1c) measurement
- Commutability: a peculiar property of calibration and control materials. Definition and evaluation
- Diagnostic sensitivity of a panel of tests to detect monoclonal protein in Korean multiple myeloma patients
- Commutability of proficiency testing (PT): status of the matrix-related bias in general clinical chemistry
- Masthead
- Masthead
- Editorial
- Why specifications for allowable glucose meter errors should include 100% of the data
- Reviews
- ABO blood group: old dogma, new perspectives
- Trace elements and bone health
- Mini Review
- The role of transcription factors in laboratory medicine
- Opinion Papers
- Nobelitis: a common disease among Nobel laureates?
- The syndrome of the “obsessive-compulsory scientist”: a new mental disorder?
- Can current analytical quality performance of UK clinical laboratories support evidence-based guidelines for diabetes and ischaemic heart disease? – A pilot study and a proposal
- Guidelines and Recommendations
- Survey of national guidelines, education and training on phlebotomy in 28 European countries: an original report by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) working group for the preanalytical phase (WG-PA)
- General Clinical Chemistry and Laboratory Medicine
- Red cell indices: differentiation between β-thalassemia trait and iron deficiency anemia and application to sickle cell disease and sickle cell thalassemia
- Problems in determining thalassemia carrier status in a program for prevention and control of severe thalassemia syndromes: a lesson from Thailand
- An enzyme linked immunosorbent assay (ELISA) for the determination of the human haptoglobin phenotype
- Blood loss from laboratory diagnostic tests in children
- Hematocrit correction does not improve glucose monitor accuracy in the assessment of neonatal hypoglycemia
- Evaluation of a mobile clinical pathology laboratory developed for the home care of pediatric patients following transplantation of peripheral blood precursor cells
- Folic acid supplementation does not reduce intracellular homocysteine, and may disturb intracellular one-carbon metabolism
- Influence of spurious hemolysis on blood gas analysis
- Serum procalcitonin predicts development of acute kidney injury in patients with suspected infection
- Reference Values and Biological Variations
- Nationwide multicenter study aimed at the establishment of common reference intervals for standardized clinical laboratory tests in Japan
- Cancer Diagnostics
- Application of BRAF, NRAS, KRAS mutations as markers for the detection of papillary thyroid cancer from FNAB specimens by pyrosequencing analysis
- Comparative evaluation of the My5-FU™ immunoassay and LC-MS/MS in monitoring the 5-fluorouracil plasma levels in cancer patients
Articles in the same Issue
- Letters to the Editors
- Clinical utility of serum tumor markers and cytokines in cervical cancer and neoplasia
- Establishing reference intervals for LDL subfractions in a Korean population using the Lipoprint LDL system
- Measurement imprecision of common urinary biochemical analytes on the Roche Cobas 6000 system
- A comparison between turbidimetric inhibition immunoassay and capillary electrophoresis in glycated hemoglobin (HbA1c) measurement
- Commutability: a peculiar property of calibration and control materials. Definition and evaluation
- Diagnostic sensitivity of a panel of tests to detect monoclonal protein in Korean multiple myeloma patients
- Commutability of proficiency testing (PT): status of the matrix-related bias in general clinical chemistry
- Masthead
- Masthead
- Editorial
- Why specifications for allowable glucose meter errors should include 100% of the data
- Reviews
- ABO blood group: old dogma, new perspectives
- Trace elements and bone health
- Mini Review
- The role of transcription factors in laboratory medicine
- Opinion Papers
- Nobelitis: a common disease among Nobel laureates?
- The syndrome of the “obsessive-compulsory scientist”: a new mental disorder?
- Can current analytical quality performance of UK clinical laboratories support evidence-based guidelines for diabetes and ischaemic heart disease? – A pilot study and a proposal
- Guidelines and Recommendations
- Survey of national guidelines, education and training on phlebotomy in 28 European countries: an original report by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) working group for the preanalytical phase (WG-PA)
- General Clinical Chemistry and Laboratory Medicine
- Red cell indices: differentiation between β-thalassemia trait and iron deficiency anemia and application to sickle cell disease and sickle cell thalassemia
- Problems in determining thalassemia carrier status in a program for prevention and control of severe thalassemia syndromes: a lesson from Thailand
- An enzyme linked immunosorbent assay (ELISA) for the determination of the human haptoglobin phenotype
- Blood loss from laboratory diagnostic tests in children
- Hematocrit correction does not improve glucose monitor accuracy in the assessment of neonatal hypoglycemia
- Evaluation of a mobile clinical pathology laboratory developed for the home care of pediatric patients following transplantation of peripheral blood precursor cells
- Folic acid supplementation does not reduce intracellular homocysteine, and may disturb intracellular one-carbon metabolism
- Influence of spurious hemolysis on blood gas analysis
- Serum procalcitonin predicts development of acute kidney injury in patients with suspected infection
- Reference Values and Biological Variations
- Nationwide multicenter study aimed at the establishment of common reference intervals for standardized clinical laboratory tests in Japan
- Cancer Diagnostics
- Application of BRAF, NRAS, KRAS mutations as markers for the detection of papillary thyroid cancer from FNAB specimens by pyrosequencing analysis
- Comparative evaluation of the My5-FU™ immunoassay and LC-MS/MS in monitoring the 5-fluorouracil plasma levels in cancer patients