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Point-of-care glucose meters are used in a variety of settings to monitor glucose concentration in whole blood. Comparability between the results from these meters and results issued on plasma samples was examined by the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), which in 2006 recommended that all glucose results should be reported as a plasma concentration. The group advised that a conversion factor of 1.11 be used to convert whole blood results to plasma equivalence. As neonatal hematocrit differs from that seen in adults, the IFCC recommendation is not appropriate in neonatal samples. It was decided to review this recommendation.
by Mary Stapleton and Ruth O’Kelly
Introduction
Neonates may be at risk of hypoglycemia in the first few hours and days after birth, the cause of which may be attributed to the stress of extra-uterine life [1]. However, it may also signal an underlying pathology, and prolonged episodes of hypoglycemia have been described as a cause of neurodevelopmental morbidity [2]. Identification of hypoglycemic episodes is, therefore, considered to be vital in the neonatal period, but the population in question often includes extremely premature and small infants. By regularly using point-of-care (POC) devices to measure glucose in this cohort of patients, it is hoped to obtain useful results while avoiding unnecessary blood loss.
In instances where glucose results obtained on POC devices do not fit the clinical picture, a fluoride-preserved sample may be sent for plasma analysis.
Discrepancies between POC whole blood and laboratory plasma results may be a cause of lack of confidence in bedside technology. There are several causes of such discrepancies, and while literature has suggested that hypoglycemia is missed by using POC devices, the role of glycolysis as a pre-analytical factor is starting to be recognized [3]. The second possible cause is that differing sample types are measured and unlikely to be comparable. In 2006, the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) published a recommendation that manufacturers of POC devices were to report glucose concentration as though it were a plasma sample rather than whole blood. A conversion factor of 1.11 was calculated to equate the results from the two sample types (whole blood × 1.11 = plasma) [4].
The aim of this study was to perform glucose measurements in neonatal and adult whole blood and plasma samples by a laboratory method and a POC method without a plasma correction factor. By comparing results, it was hoped to determine the appropriateness of the plasma conversion factor as recommended by the IFCC.
Methods
The HemoCue 201+ POC methodology that was used to analyse whole blood samples consists of an analyser and measuring cuvette containing dried reagents. The cuvette serves as a pipette, reaction chamber and measuring vessel. Analysis of plasma for glucose concentration was performed on an automated chemistry platform (Beckman Coulter AU640) using a hexokinase method in a laboratory accredited to ISO 15189 standards.
Samples for plasma glucose analysis were obtained in tubes containing fluoride as an antiglycolytic agent. When measuring glucose in the POC device, an aliquot of sample was taken from the sample in the blood tube before separation.
Statistical analysis, using Bland–Altman analysis to compare results by two different methods, was performed using Analyse-It software for Microsoft Excel (Analyse-It Software Ltd).
Study 1
Fluoride-stabilized plasma samples from 25 neonates (aged 3 days or less) received into the laboratory for routine glucose estimation were included in the study. An aliquot was taken from each sample before centrifugation and analysis, and glucose determination by POC was performed on a HemoCue 201+ analyser located in the laboratory.
Study 2
Fluoride plasma samples from pregnant women (n = 34) were also analysed for whole blood and plasma glucose in the same manner described in study 1.
Study 3
A portion of patients who were a part of the study had a sample sent for full blood count (FBC) analysis on the same day of the glucose request. Results were subdivided into greater and less than the median result for both hematocrit and mean corpuscular volume (MCV). These were then reviewed against the reported glucose concentrations.
Results
Studies 1 and 2
No significant difference was noted between neonatal samples analysed (Table 1, Fig. 1) (bias, 0.05mmol/L). However, a significant difference (P<0.0001) was noted between the two methods when samples had been obtained from adult patients (Table 2, Fig. 2) (bias, 0.6mmol/L).
Study 3
A standard calculation for determining the percentage of water in blood was reviewed (Equation 1). The data obtained from the FBC samples was used to propose plasma conversion factors for both adult and neonatal patients (Table 3). It was assumed that the median hematocrit in a healthy, non-pregnant adult is 0.43 L/L, with a resulting calculated conversion factor (CCF) of 1.11.
Discussion
This study investigated the reported difference between samples analysed for glucose using POC meters in a ward setting and those samples received for glucose analysis in a central laboratory. It may be seen that there is good correlation between POC and laboratory analyser methods in samples obtained from neonates.
This correlation was not seen in the set of adult samples analysed, and an average difference of up to 10% in results was reported from the two methods. By applying a plasma equivalence factor of 1.11 to the whole blood results from adults as recommended by the IFCC in 2006, the difference in results from adult patients could be explained.
The IFCC equivalence factor based on the hematocrit in neonates is 1.15, but this study confirms that the neonatal samples did not require this factor. POC glucose measurements in the HemoCue device include a cell lysis step and thus whole blood (intra-and extra-cellular) glucose is measured. However, neonatal blood is recognized as containing resistant cells and cells may not fully lyse causing the measured glucose to reflect extra-cellular glucose similar to plasma measurements.
In a previous study [5], Vadasdi and Jacobs compared heparinized samples from neonates that were analysed on the HemoCue immediately before centrifugation and assayed by the laboratory method. No significant difference was found between the mean values of the two methods over a hematocrit range of 0.185–0.72. Our study agrees with these findings.
Vadasdi and Jacobs suggested that the effect of hematocrit was decreased significantly by the hemolysis step in the cuvette. It is recognized that HemoCue POC meters are not affected by hematocrit [4, 5], which is why this meter is frequently used in a neonatal setting. Vadasdi and Jacobs also suggested that because the MCV (which describes the size of the red cells) is greater than seen in adults, there is less of a dilutional effect due to membrane proteins after lysis. Our study showed that the mean MCV in neonates was greater than seen in our adult (pregnant) subjects.
Conclusion
Laboratory measurements for glucose are usually performed on plasma samples while POC measurements are performed on whole blood. A difference in results may be expected as whole blood glucose is known to be approximately 11% lower than plasma glucose due to lower volume of water in the erythrocytes.
The difference between plasma and whole blood glucose in adults was similar to the recommended IFCC “plasma equivalent factor” of 1.11. The lack of difference between plasma and whole blood glucose in neonatal samples may be explained by the increased MCV or the presence of resistant red cells that may not undergo lysis in the POC device.
Many modern POC devices for measuring glucose now include the IFCC plasma conversion factor and such results should be carefully interpreted.
References
1. World Health Organization. Hypoglycaemia of the newborn. Review of the literature. WHO/CHD/97.1, 1997.
2. Lucas A, Morley R, Cole TJ. Adverse neurodevelopmental outcome of moderate neonatal hypoglycaemia. BMJ 1988; 297(6659): 1304–1308.
3. Stapleton M, Daly N, O’Kelly R, Turner MJ. Time and temperature affect glycolysis in blood samples regardless of fluoride- based preservatives: a potential underestimation of diabetes. Ann Clin Biochem 2017; 54: 671–676.
4. D’Orazio P, Burnett RW, Fogh-Anderson N, Jacobs E, Kuwa K, Külpmann WR, Larsson L, Lewenstam A, Maas AH, et al. Approved IFCC recommendation on reporting results for blood glucose: International Federation of Clinical Chemistry and Laboratory Medicine Scientific Division, Working Group on Selective Electrodes and Point of Care Testing (IFCC-SD-WG-SEPOCT). Clin Chem Lab Med 2006; 44: 1486–1490.
5. Vadasdi E, Jacobs E. HemoCue β-glucose photometer evaluated for use in a neonatal intensive care unit. Clin Chem 1993; 39(11): 2329–2332.
The authors
Mary Stapleton* FRCPath; Ruth O’Kelly FRCPath
Biochemistry Department, Coombe Women & Infants University Hospital, Dublin, Ireland
*Corresponding author
E-mail: mary.stapleton@nhs.net
by L. Hughes, Dr A. Ballantyne, Dr C. Ford, Dr A. Ekbote and Prof. R. Gama Celiac disease (CD) is a common autoimmune gastrointestinal disease. Several serological tests are available to screen for CD. Since CD can present with fatigue, serological screening was incorporated into a ‘tired all the time’ testing profile available to general […]
Mass spectrometry (MS) is a well-known and broadly used analytical technique, and one that is particularly effective when coupled with liquid chromatography (LC). LC-MS/MS operates by analyte separation, ionization, mass analysis and detection, and lends itself as an ideal technique to meet the needs of a range of laboratory types. Over the past decade, LC-MS/MS has been applied across several different fields of clinical diagnostics and has become commonplace for forensic and clinical toxicology. However, until now it has only been used across a limited number of specialities, including endocrinology and therapeutic drug monitoring.
By Professor Brian Keevil and Dr Sarah Robinson
Such a powerful technique has the potential to bring significant advantages to the clinical setting, and would enable clinicians to analyse multiple analytes at greater specificities than immunoassay-based methods. It has the potential to supersede alternative methods since it avoids the issues surrounding interferences and the subsequent generation of unreliable data. Even with such advantages, LC-MS/MS has not yet been further adopted by the clinical community. The lack of an automated system has limited its suitability to routine clinical use, while also presenting challenges to laboratories under pressures to standardize and harmonize their practices. Current LC-MS/MS systems involve multiple and complex manual stages that are open to human error while being both time- and labour-intensive. Furthermore, the lack of standardization of LC-MS/MS methods is deterring clinical labs from benefiting from their advantages.
Standardization is critical in clinical laboratories since it is necessary to ensure the correct results are obtained and they are in accordance with results from other labs, especially for therapeutic drug monitoring and endocrine applications.
The challenge of standardization
One of the barriers to more widespread LC-MS/MS use is the lack of properly standardized methods and different laboratories will often use a wide range of techniques, equipment and internal standards. Together, these factors may mean that different results are generated from the same sample.
This level of variation makes it challenging to obtain proper standardization of LC-MS/MS results and is highly problematic. Not only does it become difficult to control results within a lab and ensure they remain comparable year on year, but it can create discrepancies between labs. This could ultimately lead to incorrect patient diagnoses and clinicians recommending the wrong treatment programmes.
The drive for change
Until now, LC-MS/MS systems have been designed with the research laboratory in mind and, as such, are highly configurable making them great for developing methods. However, the needs of the clinical lab are different from those of the research community. The clinical setting requires a dedicated system that not only promotes, but also facilitates standardization. Studies have shown that, through careful use of the same instrument, column and methods, it is possible to generate consistent and reliable resulting data from LC-MS/MS systems based at different laboratories. There is currently a drive from organizations, such as the International Federation of Clinical Chemistry (IFCC), the Centers for Disease Control and Prevention (CDC), and the Endocrine Society, to harmonize assays across laboratories to improve levels of quality. The adoption of one dedicated system among an entire network of laboratories would not only satisfy this organizational drive, but also help clinicians be confident that the data across their entire network is standardized, and thus comparable and repeatable.
The availability of a dedicated system with standardized methods and procedures would make this process significantly easier and remove one of the primary barriers to uptake of this gold standard technique. A dedicated system would need to be optimized for the specific methods run by each laboratory, and available with columns, reagents, calibrators and controls that are consistent and designed specifically for the system. This would help to ensure all data generated is both reproducible and accurate – paramount to patient diagnosis and care. In addition, a clinical LC-MS/MS system would need to be automated and easy to use. Clinical labs are extremely busy so even the most junior members of the staff must be able to operate the instrument and walk away with the confidence that samples are being analysed without error or the need for manual intervention. A system such as this would help to ensure patients were properly diagnosed and appropriate treatment plans devised.
Breaking through the barrier
If a network of laboratories decided to start using a dedicated clinical analyser, it would be able to adopt common reference ranges and reagents, which would provide much greater confidence in the consistency of results. For example, if a patient was transferred to a different hospital mid-way through treatment then there would be a level of assurance that the test results would be the same from both facilities. The data would therefore be directly comparable as long as both labs were using the same dedicated LC-MS/MS system.
Proper standardization is extremely important, yet challenging, and is a key consideration when deciding on an analytical method for implementation. An automated, dedicated clinical LC-MS/MS system would enable inter-laboratory standardization, while allowing interference-prone immunoassay-based tests to be phased out and replaced by clinical LC-MS/MS analysers. The results obtained from one laboratory would then be consistent over many years, and match those results generated from the same patient samples in other labs using the same system. Furthermore, such a system could be operated by the entire laboratory team, removing the need for in-depth and specialist training. This ease of use would decrease the investment required in training, while freeing up more experienced team members to focus on their research.
Conclusion
Analytical techniques are a core component to clinical workflow to ensure accurate patient diagnosis and treatment. LC-MS/MS has clear advantages over alternative immunoassay-based methods, with the ability to analyse multiple analytes at greater specificities. However, its uptake across the clinical community has been slow. This is because LC-MS/MS systems to date have been developed for use in research laboratories, and although the data have been demonstrated to be of high quality, the technology does not simply translate to the needs of the clinical lab.
With analytical needs that directly correlate to patient treatment plans, analytical methods within the clinical lab need to be automated, standardized, reliable and provide walk-away capabilities. This clear need for a dedicated analytical technique has driven the development of the new Thermo Scientific™ Cascadion™ SM Clinical Analyzer*. This dedicated clinical LC-MS/MS system is accurate, easy to use, and has been designed specifically for the clinical laboratory, facilitating standardization both on an inter- and intra-laboratory level to enable clinicians to fully leverage the power of this technique. The impact of this system would help laboratories and laboratory networks to meet their clinical needs.
To find out more, visit www.thermofisher.com/cascadion
*This product is in development and not available for sale. This product is not CE marked or FDA 510(k) cleared.
The authors
Professor Brian Keevil1 and Dr Sarah Robinson2
1Consultant Clinical Scientist and Head of the Clinical Biochemistry Department, University Hospital of South Manchester
2Market Development Specialist, Thermo Fisher Scientific
April | May 2025
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5616 VD Eindhoven
The Netherlands
+31 85064 55 82
info@clinlabint.com
PanGlobal Media is not responsible for any error or omission that might occur in the electronic display of product or company data.
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