Home Medicine Analytical goals for the determination of HbA2
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Analytical goals for the determination of HbA2

  • Andrea Mosca EMAIL logo , Renata Paleari and Barbara Wild
Published/Copyright: October 2, 2012

Abstract

Background: We present a study aimed to define the analytical goals for the determination of hemoglobin A2, a minor hemoglobin present in human blood normally accounting from 2.5% to 3.3% of total hemoglobin, and typically increased up to 6%–7% in subjects carriers of β-thalassemia.

Methods: The analytical goals have been derived using two approaches, the first one based on biologic variation, and the second one based on the opinion of experts.

Results: The data obtained by studying 17 adult non-carrier healthy subjects, from whom we took blood samples every 2 weeks for 2.0 months, indicated a small intra-individual biologic variation (CVI of 0.7%), with respect to a larger between-subject variation (CVG of 7.7%). The minimum levels for imprecision, bias and total error derived from the analysis of these data were: 0.5%, 2.9% and 4.5%, respectively. The limits derived from the opinion of experts were based on a questionnaire with three clinical cases, which was circulated among two teams of international experts, and on a discussion about the clinical needs. The average total error derived from such surveys ranged between 7.0% and 9.5%.

Conclusions: The various methods to derive analytical performance goals gave different limits, thus indicating the need for an increased communication between clinicians and laboratory professionals on this matter.

Introduction

The measurement of HbA2 is primarily used for the identification of β-thalassemia carriers with the aim to prevent the severe transfusion-dependent thalassemia disorders. Detection of carriers is easily performed in the classical phenotypes characterized by increased HbA2 values (4.0%–6.0%) together with reduced mean cell volume (MCV) and mean cell hemoglobin (MCH). However, the existence of atypical β-thalassemia carriers with near normal hematological indices and borderline HbA2 values (3.3%–3.8%) can make the diagnosis more difficult [1, 2]. Borderline HbA2 levels are generally due to the presence of mild β+ mutations or may be the consequence of a number of genetic factors, such as the interaction with other molecular defects (α- and δ-allele), β-promoter mutations, triplication of the α-globin gene (ααα/αα) and KLF1 gene mutations [3, 4]. In addition, some acquired conditions (iron deficiency, megaloblastic anemia, hyperthyroidism) can affect the HbA2 levels, contributing to the risk of misinterpretation of HbA2 results.

Since an incorrect diagnosis may translate into major clinical implications for affected individuals, it is very important that a reliable HbA2 measurement with a high degree of both reproducibility and accuracy is provided to clinicians [5]. To this regard, data obtained in a large external quality assessment scheme [UK NEQAS (H)] and results from a recent inter-laboratory study showed a significant bias between different routine methods for HbA2 measurement [6, 7]. However, it is rather difficult to evaluate the actual analytical quality of HbA2 testing since at present there is no reference measurement procedure approved for this analyte and no defined specifications for allowable analytical bias and imprecision have been defined.

With regard to the analytic performance goals, there are at least six different ways for establishing them (regulations and EQAS, biologic variation, survey of clinicians, effects on medical decisions, patterns for follow-up tests, formal decision models), as clearly reviewed [8, 9].

The aim of this work is to define some goals for the determination of HbA2 in human blood, and to relate them to the metrological reference system for HbA2 under development by the IFCC Working Group on HbA2 standardization.

Approach I: goals based on biologic variation

Experimental work has been performed on 17 apparently healthy subjects (9 men and 8 women, aged 26–52 years) by analyzing their HbA2 values every 2 weeks, for 2 months, as previously described [10]. The subjects were enrolled among the laboratory staff and gave their written consent to be tested. The blood samples were collected after overnight fasting and without any morning exercise. Venous blood was collected by the same experienced phlebotomist between 9:00 and 9:30 with subjects in the sitting position for 1–5 min, with minimal stasis using a 20 G straight needle directly into 3 mL siliconized vacuum tubes containing K2 EDTA (Terumo Europe NV, Belgium). The blood specimens were immediately aliquoted and stored at –80°C until analyzed all in the same run, in order to minimize the analytical variation. On each day of blood collection a whole blood cell count was performed on an aliquot of the EDTA-blood specimen by means of an automated Advia 2120 analyzer (Siemens Healthcare Diagnostics).

The determination of HbA2 was performed by an automated HPLC system (Bio-Rad Variant II, dual kit, Bio-Rad Laboratories, Segrate, Italy) using the calibrators provided by the manufacturer. Each blood specimen was analyzed in duplicate in order to evaluate the analytical imprecision. The whole set of blood samples was analyzed over four different runs, taking care that all the specimens derived from a particular subject were analyzed within the same run. Finally, the results obtained by the HPLC analysis were adjusted in order to express each result with two decimal places in order to achieve the minimum number of significant numbers. With regard to the statistical treatment of the data, an ANOVA analysis was performed, in order to extrapolate, from the overall variance (σ2tot), the biologic intra-individual component (σ2I) and the biologic between-individuals component (σ2G), according to the formula:

σ2tot = σ2anal + σ2I + σ2G

as already described with regards to a similar study performed to obtain the analytical goals for glycated hemoglobin [11]. The analytical variance (σ2anal) was obtained, as reported above, from the analysis of the differences in the duplicates.

All the data obtained by this investigation were included in the evaluation, since no abnormalities in the other red cell parameters (total hemoglobin, MCV, MCH and hematocrit) were found. The results of such evaluations are reported in Figure 1, where the mean HbA2 values for each subject is reported, together with the minimum to maximum range. Just by looking at the graph, it is clearly evident how much the variability in the measured HbA2 in each subject was smaller than that measured between subjects. Moreover, no statistical significant differences in the HbA2 values were found between different genders (women, mean±SD: 2.63±0.26%; men: 2.74±0.16%; t-test p=0.265). From the data obtained so far, the analytical goals for imprecision, bias and total error were calculated (Table 1).

Figure 1 Individual mean and absolute range of HbA2 values measured in 17 healthy subjects during a 2 month period.Women and men are represented as open circles and closed squares, respectively. Reprinted from reference 9 with permission of the Editor.
Figure 1

Individual mean and absolute range of HbA2 values measured in 17 healthy subjects during a 2 month period.

Women and men are represented as open circles and closed squares, respectively. Reprinted from reference 9 with permission of the Editor.

Table 1

Analytical goals for HbA2 measurement derived from data on biologic variation.

Quality levelImprecision, %Bias, %Total error, %
Optimal0.21.01.5
Desirable0.31.93.0
Minimal0.52.94.5

Approach II: goals based on clinical needs and opinion of experts

A survey has been performed on a selected group of 15 clinicians dealing mostly with patients affected by thalassemic syndromes and various hemoglobin disorders, mostly sickle cell anemia (team A) and by an international team of more than 100 laboratory professionals (team B). The survey was performed during two recent international meetings (Sebia advisory board meeting, 25 May 2012, Sebia, Lisses (France), and VI international symposium on hemoglobins [12]), and the results were collected by email (team A) and by televoting during the conference (team B). They were asked to answer the questions related to three clinical cases, as illustrated in Table 2.

Table 2

Questionnaire to derive analytical goals based on clinical needs and opinion of experts.

Case no.Description/question
1A pregnant woman is tested for β-thalassemia as part of her antenatal screening blood tests. The HbA2 result is 3.5%. RBC, MCH, MCV are within the normal range. A repeat test is taken and this gives a result of 3.2%.
Do you believe this new HbA2 result to be significantly different from the previous value of 3.5%?
Yes/No
2A pregnant woman is tested for β-thalassemia as part of her antenatal screening blood tests. The HbA2 result is 3.2%. Iron studies undertaken at the same time indicate that she has iron deficiency. She is given iron supplements for 3 months after which time still MCV, MCH and Hb are low and a repeat test is taken. This gives a result of 3.7%.
Do you believe this difference to be significant?
Yes/No
3A patient suspected of having a hemoglobinopathy is referred for counseling. The notes show repeat HbA2 testing for β-thalassemia, in the same laboratory using an HPLC method:
Date Result
21.3.20113.7%
1.4.2011993.4%
2.5.2011993.8%
1.6.2011993.5%
Do you consider the differences to be significant?
Yes/No

The first case history reports on an HbA2 test repeated over a short time (typically 1 week) from the preceding result, in order to confirm a result of difficult interpretation, such for the so-called borderline values. The second case describes a situation where another repeated test is performed, but over a longer period of time during which clinical action was undertaken (i.e., iron therapy). The third case describes a somewhat less likely situation, where the test is performed four times over 3 months without any apparent change either in the pre-analytical than in the analytical phase. None of the cases were related to any real physical patient.

Responses were collected from 10 clinicians from team A and from 83 laboratory professionals from team B. A summary of the responses is shown in Table 3, where, together with the answers, we have tabulated the mean values and the absolute HbA2 changes about whom we were asking opinions. The corresponding allowable total error, expressed from the hypothetical mean HbA2 values and their absolute changes, are displayed in the fourth column of Table 3.

Table 3

Analytical goals for HbA2 measurement derived from the responses to the cases of Table 2.

Case no.HbA2, mean, %HbA2 change, %TE, %TeamNo. answersSignificancy (percent of the answers)
13.350.39.0A11No (73%)
B83No (64%)
23.450.514.5A12Yes (75%)
B83Yes (81%)
33.600.25.6A12No (50%)
B83No (86%)

As can be seen, there is a quite good agreement between the laboratory professionals and the clinicians, although a rigorous comparison cannot be done, because the number of answers collected so far was very unbalanced, with team A in a much smaller quantity in respect to team B.

Finally, another approach based on clinical needs has been already reported by our group [1] and is just briefly outlined here. Considering a subject with a true HbA2 value of 3.6%, the measurement error should not exceed, in relative units, of more than 7.0% in order to exclude the possibility of misclassifying him as a β-thalassemia carrier (HbA2 ≥3.8%) or as a non-β-thalassemia subject (HbA2 <3.3%).

Conclusions

The quantitation of HbA2 is primarily used to diagnose, or exclude the diagnosis of β-thalassemia trait in pregnant women and other patients, or to assist with the elucidation of microcytic, hypochromic anemia [5]. Historically, when only a small number of subjects were tested there appeared to be a clear difference in HbA2 levels between carriers and non-carriers, but recent work has shown that interpretation of results is more complicated than initially thought. The interpretation of the numerical analytical results is made more complicated for two main reasons: there are more than 200 mutations causing β-thalassemia and the HbA2 is raised by different amounts according to the mutation [13], and second that some medical conditions affect the percentage of HbA2 found. An HbA2 level of 3.5% is often given as a cut-off point to categorize carriers from non-carriers [14].

To our knowledge, up until now only a few figures on serial measurements have been published to show how much biologic variation there is [9], and as it happens this is very small, as would be expected for any biochemical parameter mainly regulated by genetic mechanisms. Also, given the fact that nobody would make a diagnosis only on the basis of the HbA2 value, without knowing other important information (clinical picture, family history, whole blood cell count, iron metabolism etc.), we felt it was important to determine values considered appropriate for cut-off points and variability of results which will demonstrate improvements necessary in the analytical goals for manufacturers of automated analyzers. To this regard, we have summarized our findings in Table 4, where a minimal goal for the total error could be set at 6.9%, a kind of a compromise between the information gained from the study on biological variation, clinical needs and opinion of experts.

Table 4

Analytical goals for total error for HbA2 measurement, summary.

ApproachTotal error, %
Biologic variability4.5
Opinion of experts>9.0
Clinical need [1]7.0

Of course, the opinion of experts and clinical need may change over time, as a possible result of the improvements in the analytical aspects. Up until now, there are only few methods able to achieve an overall imprecision of <1%, but the scenario is continuously evolving, so it would be advisable to revise such goals in the future.

Moreover, we hope that in a couple of years the complete IFCC reference system for HbA2 is realised, so that all manufacturers are able to calibrate by means of a common commutable certified reference material with an assigned value derived from the primary reference measurement procedure. A layout of the system this Working Group is developing is shown in Figure 2. This is a new version of that already presented some years ago [3], and the main new issue concerns the reference measurement procedure and the primary reference materials. Both these issues are under development, following the successful approach already developed within the sphere of glycated hemoglobin [15]. The data on the analytical goals for HbA2, derived by means of what presented in this document, could be regarded as an additional outcome of the aims the WG is trying to achieve.

Figure 2 Reference system and traceability chain for the determination of HbA2.
Figure 2

Reference system and traceability chain for the determination of HbA2.


Corresponding author: Andrea Mosca, Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, Via Fratelli Cervi 93, 20090 Segrate, Milan, Italy, Phone: +39 02 50330422, Fax: +39 02 99987559

We want to thank the following colleagues (team A) who took part to the evaluation of the questionnaire: Barbara Bain (London, UK), Véronique Baudin-Creuza (Le Kremlin Bicêtre, France), Joaquin Brintrup (Kulm, Germany), Suthat Fucharoen (Bangkok, Thailand), Elizabeth George (Selangor DE, Malaysia), Béatrice Gulbis (Bruxelles, Belgium), Cornelis Harteveld (Leiden, The Netherlands), James D. Hoyer (Rochester, Minnesota, USA), Giovanni Ivaldi (Genova, Italy), David Keren (Ann Arbor, USA), Kamran Moradkhani (Créteil, France), Maria de Fatima Sonati (Barão Geraldo, Brazil), Léon Tshilolo (Kinshasa, Congo), and Joan-Lluis Vives Corrons (Barcelona, Spain). We also would like to acknowledge the numerous colleagues who took part to the evaluation of the questionnaire by televoting at the A. Menarini meeting (team B) [12]. Finally, we would like to thank Dr. Adrian Stephens for his suggestions on the compilation of the questionnaire, and Dr. Martina Montagnana for having coordinated the study on healthy volunteers (approach I). Work was partially supported by grants from the ENERCA III project and from MIUR, PRIN 2008 (AM recipient).

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: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

References

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Received: 2012-6-12
Accepted: 2012-8-28
Published Online: 2012-10-02
Published in Print: 2013-05-01

©2013 by Walter de Gruyter Berlin Boston

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