Vincenzo de Sanctis1,
Shahina Daar2, Ploutarchos Tzoulis3,
Ashraf T. Soliman4, Iskra Modeva5,
Irene Savvidou6, Antonis Kattamis7,
Polyxeni Delaporta7, Mohammad Faranoush8,
Forough Saki9, Mehran Karimi10,
Alessandra Salvo11, Sarah Al Rahbi12,
Yasser Wali13, Saif Al Yaarubi13,
Mohamed A. Yassin14, Dulani Kottahachchi15,
Erdal Kurtoğlu16, Suheyla Gorar17,
Sule Unal18, Defne Ay Tuncel19,
Duran Canatan20 and Christos Kattamis21
1 Coordinator
of ICET-A Network (International Network of Clinicians for
Endocrinopathies in Thalassemia and Adolescence Medicine), Ferrara,
Italy
2 Department of Hematology, College of Medicine
and Health Sciences, Sultan Qaboos University, Sultanate of Oman
3 Department of Diabetes and Endocrinology,
Whittington Hospital, University College London, London, UK
4 Department of Pediatric Division of
Endocrinology, Hamad General Hospital, Doha, Qatar
5
Laboratory of Neonatal Screening and Functional Endocrine Diagnostic,
University Pediatric Hospital "Prof. Ivan Mitev", Medical University
Sofia, Bulgaria
6 Thalassemia Unit, Nicosia, Cyprus
7
Thalassemia Unit, First Department of Pediatrics, National and
Kapodistrian University of Athens (NKUA), ‘Aghia Sophia’ Children’s
Hospital, ERN-EuroBloodNet Center, Athens, Greece
8 Pediatric Growth and Development Research
Center, Institute of Endocrinology, Iran University of Medical
Sciences, Tehran, Iran
9 Shiraz Endocrinology and Metabolism Research
Center, Shiraz, Iran
10 Pediatric Hematology Oncology Department,
American Hospital, Dubai, UAE
11 UOSD Thalassemia, Umberto I° Hospital,
Siracusa, Italy
12 Department of Nursing, University Medical
City, Al-Khoud, Sultanate of Oman
13
Child Health Department, Sultan Qaboos University, College of Medicine
and Health Sciences, and University Medical City, Muscat, Sultanate of
Oman
14 Head of Hematology Department, Hamad Medical
Corporation, Professor of Hematology, College of Medicine, Qatar
University, Doha, Qatar
15 Hemal’s Thalassaemia Unit, Colombo North
Teaching Hospital, Colombo, Sri Lanka
16 University of Health Sciences, Antalya
Training and Research Hospital, Hematology Department, Antalya,Türkiye
17 University of Health Sciences, Antalya
Training and Research Hospital, Endocrinology Department, Antalya,
Türkiye
18 Hacettepe University, Department of Pediatric
Hematology, Ankara,Türkiye
19
University of Health Sciences, Adana City Training and Research
Hospital, Department of Pediatric Hematology-Oncology, Adana,Türkiye
20 Antalya Bilim University and Antalya Genetic
Diseases Assessment Center, Antalya, Türkiye
21 First Department of Pediatrics, National
Kapodistrian University of Athens, Greece
.
Correspondence to: Vincenzo
De Sanctis, Coordinator of ICET-A Network (International Network of
Clinicians for Endocrinopathies in Thalassemia and Adolescent Medicine)
and Pediatric and Adolescent Outpatient Clinic, Quisisana Hospital,
Ferrara, Italy. E-mail: vdesanctis@libero.it.
http://orcid.org/0000-0002-6131-974X.
Published: May 01, 2026
Received: January 26, 2026
Accepted: April 01, 2026
Mediterr J Hematol Infect Dis 2026, 18(1): e2026035 DOI
10.4084/MJHID.2026.035
This is an Open Access article distributed
under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by-nc/4.0),
which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
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Abstract
Background: Over
the last few decades, screening for dysglycemia in
transfusion-dependent β-thalassemia patients (β-TDT) using an oral
glucose tolerance test (OGTT) with fasting (FPG) and 2-hour plasma
glucose (2h-PG) samples was recommended at 10, 12, 14, and 16 years,
and annually thereafter. The precise measurement of PG levels is the
mainstay for accurate diagnosis of dysglycemia and for limiting the
risk of false-positive (i.e., overdiagnosis) and false-negative (i.e.,
underdiagnosis), especially in patients with PG values near the
recommended cut-off values. Research objective: The
primary objective of the survey was to describe the procedures of the
pre-analytical phase of screening for dysglycemia, using data from
actual clinical practice at Centers caring for β-TDT patients. The
collected data were compared to the international recommendations of
the American Diabetes Association and the World Health Organization. Methods:
This observational study was based primarily on an online
questionnaire. All members of the International Network of Clinicians
for Endocrinopathies in Thalassemia and Adolescent Medicine (ICET-A)
were officially invited to participate. The questionnaire consisted of
6 sections and 22 questions, with single-, multiple-choice, and
open-ended descriptive answer options. Results:
14 out of 18 invited Centers [Bulgaria, Cyprus, Greece, Iran (2), Italy
(2), Oman, Qatar, Sri Lanka, Türkiye (3) and United Kingdom] accepted
and completed the surveywith a response rate of77.7% The total number
of β-TDT patients followed in the participating Centers was 3,372 with
2,932 (86.9%) over the age of 10 years. A total of 549 patients were
followed for thalassemia-related diabetes mellitus (Th-RDM).
Furthermore, the survey across the 10 countries showed variable
adherence to and deviations from current international guidelines. The
lowest adherence rate was associated with the information and
instructions given to patients prior to the OGTT and with how the blood
samples were stored from collection to centrifugation and analysis.
Differences in these factors may lead to unintended variations in the
prevalence and severity of hyperglycemia, with important implications
for clinical practice. To improve the quality of the pre-analytical
phase across participating centers, the Standards for Reporting of
Diagnostic Accuracy (STARD) statement was implemented. Conclusions:
Based on the STARD statement, the pre-analytical blood sampling
procedures for OGTT screening in thalassemia Centers require revision
and standardization. To minimize pre-analytical errors, a precise
diagnostic approach, coupled with closer patient follow-up, is needed
to reduce the risk of glucose measurement errors.
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Introduction
The
life expectancy of transfusion-dependent β-thalassemia patients (β-TDT)
has increased significantly over recent decades due to improved
clinical management of frequent transfusion patients and effective
chelation regimens. However, other long-term severe complications have
also emerged, such as thalassemia-related diabetes mellitus (Th-RDM).
Dysglycemia, a condition characterized by abnormal plasma glucose
levels — including prediabetes (impaired fasting glucose, impaired
glucose tolerance, or both) and diabetes — is a common finding that
develops gradually and may impair patients’ quality of life and
prognosis. Its prevalence varies across centers, increases with severe
genotypes and relevant clinical phenotypes, in age 1-3, and with
ineffective chelation regimens.
The International Network of
Clinicians for Endocrinopathies in Thalassemia and Adolescent Medicine
(ICET-A) recommended two different screening parameters for
abnormalities of glucose homeostasis: (a) a periodic assessment of
fasting plasma glucose (FPG) from the age of 5 years; (b) an oral
glucose tolerance test (OGTT) using fasting FPG and 2-hour plasma
glucose (2h- PG) samples at 10, 12, 14, and 16 years and annually
thereafter.[1,3]
For appropriate interpretation of OGTT,
clinicians need to be aware of the diversity of measurements due to
variation in biological, pre-analytical, and laboratory factors, to
limit false-positive (overdiagnosis) or false-negative (underdiagnosis)
results for PG, especially in patients with PG values close to the
cut-off values for dysglycemia.[4,5] Dysglycemia in β-TDT patients is
associated with iron toxicity in pancreatic β-cells.[1-3] Certain
pre-analytical variables, such as in vitro glycolysis and extended time
intervals between blood drawing, centrifugation, separation from cell
mass, and assessment, may negatively affect the detection of
dysglycemia, increasing the misdiagnosis rate.[6]
Sacks et al.[7]
has reported that in vitro glycolysis is responsible for PG reduction
at a rate of 5-7%/hour, especially in the presence of high leukocyte
blood counts, high ambient temperature, glucose concentration and
others. Therefore, a variation of 1-2 mg/dL above or below the glucose
value estimated by the laboratory for each glucose measurement during
the OGTT might result in a significant change in the prevalence of
dysglycemia. Use of plasma for glucose assessment allows blood samples
to be centrifuged promptly, preventing initial glycolysis, whereas with
serum glucose, time is needed for the blood to clot. It was also
recommended that PG be measured in an accredited laboratory using an
automated procedure with analytical imprecision < 3.3%, bias <
2.5%, and a total maximum allowable error < 7.9%.[8]
The primary
objectives of the survey were to obtain a descriptive, multicenter
overview of procedures followed during the pre-analytical phase of OGTT
screening in Centers following β-TDT patients, to assess deviations
from international recommendations, and to identify areas and factors
for improvement and the homogenization of the pre-analytical phase in
clinical practice.
Methods
This
observational study used an online questionnaire to assess the
procedures followed in the pre-analytical phase for screening for
dysglycemia in transfusion-dependent β thalassemia (β-TDT) patients.
All members of the ICET-A were officially invited. All respondents were
informed of their voluntary participation in the study and advised to
answer the questions based on their actual daily clinical practice. To
avoid conceptual confusion, we used the term survey to refer to the
broadest methodological approach encompassing the planning, design, and
analysis of data collection procedures. In general, surveys may employ
a variety of data collection methods, including questionnaires,
interviews, and observational methods, to gather information from a
population.
Our survey questionnaire included most of the
recommendations and questions reported in the current international
literature, was widely used in clinical research, and selected those
with the highest reliability and validity. Furthermore, we used two
recent surveys published in the general population,[9,10] which were in
part modified by the ICET-A Coordinator (VDS) and a Member of the
ICET-A Network (SD) to adapt them to the general and specific purposes
of our survey. The questionnaire content was additionally evaluated by
a group of endocrinologists and hematologists, and the final version
was approved by all participating Centers. The questionnaire survey
included the aims and significance of the research, names and contact
details of the thalassemia team, assurances of anonymity and
confidentiality, and references for completing and returning the
questionnaire to the steering committee. It consisted of 6 sections and
22 questions, including single- and multiple-choice questions and
open-ended descriptive responses, covering the characteristics of
Centers, adherence to international recommendations[4,5] (ADA and WHO),
and various aspects of the pre-analytical phases followed for the
diagnosis of dysglycemia in β-TDT patients. The protocol survey is
available on reasonable request.
To improve the quality of the
pre-analytical phase across participating centers, the Standards for
Reporting of Diagnostic Accuracy (STARD) statement was used.[11]
Data
collection was conducted from the end of September 2025 to November
2025. Three reminders were sent before closing the survey (first step).
The accuracy of the data included in the questionnaire was checked by
VDS. In cases of data omission, the participating Center was contacted
(second step). After preparing the first draft, SD contributed to
revising the manuscript before sending it to participating Centers. The
subsequent versions of the manuscript were revised by all the authors,
and the final version was approved by all those who participated in the
observational study (last step).
Statistical analysis
The data are presented as numerical values, percentages, means, medians, and ranges.
Ethics and consent
All procedures were in accordance with the 1964 Helsinki Declaration
and its later amendments (www.wma.net, October 2013). The local Ethics
Committee approval was waived for this study, as no identifiable
private information was collected and an anonymized dataset was
analyzed. Participants were assured of confidentiality through the
information letter and could withdraw from the survey without providing
a reason. They were also informed that data would be presented at the
group level only.
Results
Survey response rate. 14 out of 18 invited Centers (Bulgaria [1],
Cyprus [1], Greece [1], Iran [2], Italy [2], Oman [1], Qatar [1], Sri
Lanka [1], Türkiye [3], United Kingdom [1]) accepted the invitation to
take part in the survey, a response rate of 77.7%.
Centers’
characteristics. The total number of β-TDT patients followed at the
participating Centers was 3,372, of whom 2,932 (86.9%) were aged 10
years or older (Figure 1).
Twelve of 14 Centers (85.7%) monitor more than 100 β-TDT patients; nine
(64.2%) follow both pediatric and adult β-TDT patients, and 10 (71.4%)
are affiliated with an academic institution.
 |
- Figure 1.
Total number of β-TDT patients aged 10 years or older followed in the
participating Centers. The percentages of patients with
thalassemia-related diabetes mellitus (Th-RDM) are shown in red at the
top of each bar. Legend = 1: Oman (201 pts.); 2: Cyprus (260 pts.); 3: Iran (230 pts.); 4: Iran (640 pts.); 5: Sri Lanka (357 pts.); 6: UK (92 pts.); 7: Greece (316 pts); 8: Italy (151 pts.); 9: Italy (102 pts.); 10: Qatar (190 pts.); 11: Bulgaria (25 pts.); 12: Türkiye (148 pts.); 13: Türkiye (120 pts.); 14: Türkiye (100 pts.).
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The
total number of Th-RDM reported by all Centers was 549; all patients
were aged 10 years or older. The overall mean prevalence of Th-RDM was
14.7 ± 10.2% (range: 0% - 38.0%; median: 15.9%). No patient with
Th-RDMs was reported by a pediatric Center, whereas 25 β-TDT patients
over the age of 10 were reported (Figure 1, no. 11).
Notably,
the survey did not include patients' age, the year of Th-RDM diagnosis,
or the use of HbA1c for the diagnosis of dysglycemia. The latter was
not included due to poor sensitivity in diagnosing dysglycemia in β-TDT
patients, as defined by the current diagnostic threshold.[12]
Screening and criteria used for the diagnosis of dysglycemia.
All Centers routinely checked one of the following every 1-12 months
(median 7.5 months): fasting PG (10/14; 71.4%); fasting serum glucose
(3/14; 21.4%); and capillary blood glucose (1/14; 7.1%). OGTT is
recommended by 10 Centers, with a mean age at initiation of 13 ± 2.8
years (range: 10-18 years). In the remaining 3 Centers, OGTT is
requested based on fasting serum glucose results.
The OGTT was
carried out at the thalassemia Centers in 5/14 (35.7%), at the hospital
biochemistry laboratories in 6/14 (42.8%), and at both thalassemia
Centers and private biochemistry laboratories in 3/14 (21.4%).
The
most commonly reported time points for OGTT screening were fasting and
2 h post-glucose challenge, or fasting, 60, and 120 minutes. post
glucose challenge test (8/14 Centers; 57.1 %). In the remaining 4
Centers, the number of blood glucose samples collected during OGTT was
4 (2/14; 14.2%), 5 (1/14; 5.8%), and 6 (1/14; 5.8%). In 2 centers, the
screening was mainly based on FPG. In 5 out of 14 Centers (35.7%),
the OGTT was performed on the same day as blood transfusion(s), and in
the remaining 9 Centers, within a few days after blood transfusion(s).
The amount of glucose solution (anhydrous, freshly prepared or
ready-to-use solution) given for OGTT was 210 ± 55 ml (median 225 ml,
range:110-300 ml).
Hexokinase or glucokinase enzyme analysis was
used in ~93% of laboratories for glucose measurement. In one Center,
capillary blood from the fingertip was used to measure glucose. Five
Centers (35.7%) also determined insulin levels during the OGTT. These
additional measurements enabled assessment of insulin sensitivity and
secretion, as well as β-cell function. Dysglycemia is classified
according to the ADA criteria 4 by 9 Centers (64.2%) and in the
remaining Centers by WHO criteria.[5] Both organizations define diabetes
mellitus (DM) as: (a) a fasting PG of ≥126 mg/dL (≥ 7.0 mmol/L), or (b)
a 2-hour PG ≥ 200 mg/dL (≥ 11.1 mmol/L), during oral glucose tolerance
test (OGTT), or (c) a random PG ≥ 200 mg/dL (≥ 11.1 mmol/L) with
classic diabetes symptoms. In the absence of unequivocal hyperglycemia,
the ADA[4] recommends confirming the result with repeat testing. In
symptomatic hyperglycemia, the diagnosis is obvious, and a confirmatory
test is not required before treatment is initiated. However, when
results from more than one test are available and discordant, the
test(s) should be repeated. In patients with impaired fasting glucose
(IFG) or impaired glucose tolerance (IGT), glucose homeostasis is
reassessed on average after 6-8 months (range: 1-12 months) (median 6
months in 11/13 Centers). In the remaining 3 Centers, the reassessment
is based on fasting serum glucose levels.
According to the
criteria of the International Diabetes Federation Position Statement[13]
for diagnosing hyperglycemia, 1-hour post-load PG≥ 155 mg/dL (≥8.6
mmol/L) is considered an early biomarker of dysglycemia and is
associated with poorer β-cell function and lower insulin
sensitivity.[13] This additional criterion is utilized by 8 out of 14
Centers (57.1%). Two Centers reported that patients must pay out
of pocket for the OGTT. For this reason, at one Center, OGTT was
required only if fasting serum glucose levels were abnormal.
Preanalytical
phase and quality of indicators: Patients' preparation and sampling.
The quality of information and instructions to patients with
regard
to preparation for OGTT was arbitrarily classified as: (i) full
agreement with ADA[4] and WHO[5] recommendations (6/14; 42.8 %), (ii)
partial agreement with recommendations (6/14; 42.8 %), and (iii) lack
of structured information (2/14;14.2%). Fully recommended information
included: a preparatory diet, water intake, advice on fasting duration
(> 8 hours), and restrictions prior to OGTT (caffeine, smoking, and
vigorous physical activity). Moreover, factors that may influence test
results (e.g., medication such as thiazide diuretics, beta-blockers,
and corticosteroids; recent infection, etc.) were recorded and, in case
of non-adherence, the OGTT was postponed. In all thalassemia Centers,
OGTT was carried out after a recommended overnight fasting of 10 ± 2
hours (range:8-14 hours), using 1.75 g/kg (max.75 g of glucose
solution).
The application of STARD-aligned quality indicators
indicates incomplete standardization of the OGTT pre-analytical phase
across participating centers. Although most laboratories performed
same-day analysis, key procedural elements — such as immediate
centrifugation, cold-chain preservation, and standardized patient
preparation — were inconsistently implemented. Notably, half of the
centers stored samples at room temperature prior to processing, a
practice that may introduce glycolysis-related bias and affect
diagnostic accuracy. Limited reporting of exact transport and
processing intervals further reduces reproducibility. These findings
indicate variability in adherence to recommended laboratory standards
and highlight the need for harmonized pre-analytical protocols (Figure 2).
 |
- Figure 2. STARD-Compliant
Reporting of pre-Analytical and analytical quality indicators for OGTT
(n = 14 Centers). The figure was prepared using AI.
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In
summary, the graphical abstract clearly synthesizes the multicenter
ICET-A findings, emphasizing how variability in patient preparation and
sample handling during the pre-analytical phase can significantly
affect OGTT accuracy in β-TDT. By visually linking laboratory
instability (glycolysis, tube selection, transport delays) to potential
diagnostic misclassification, it effectively highlights the urgent need
for harmonized STARD-aligned protocols to improve the reliability of
dysglycemia screening across Centers.
The interval time from sample collection to centrifugation and analysis.
The precise interval time from venepuncture to the arrival of the blood
sample to laboratories was not available; in general, PG or serum
glucose levels were analyzed on the same day of testing, with one
exception, where the specimens were analyzed for serum glucose
determination within 4 hours.
Discussion
The
total testing process (TTP) for OGTT comprises three phases:
pre-analytical, analytical, and post-analytical. The impact of
pre-analytical factors on the blood glucose measurements is very
important not only for the diagnosis of diabetes but also for
identifying high risk patients and to assessing the efficacy of
different iron chelation regimes.
The International Organization
for Standardization (ISO 15189:2022) of accredited laboratories has
defined the pre-analytical phase as "the steps that consider the
healthcare personnel’s request, patient preparation, sample collection,
transportation to and within the laboratory, ending with the start of
the analysis process. It is the most important phase of TTP that
requires standardized procedures to minimize variability and bias, both
in terms of required analytical methods and biological
variability".[14] The importance of the pre-analytical phase is often
underestimated and accounts for 46–68% of all laboratory errors.[15]
Therefore,
given the narrow diagnostic thresholds used to define dysglycemia, even
modest pre-analytical deviations may lead to clinically meaningful
misclassification, with potential adverse outcomes and increased
healthcare costs.
By documenting current practices across ICET-A
Centers, this study provides a pragmatic, descriptive framework to
improve standardization and diagnostic reliability in β-TDT care.
Substantially, our survey has shown that adherence to, and deviations
from, current international guidelines[4,5] are variable and have
important implications for clinical practice. The lowest adherence rate
concerned the information and instructions given to patients prior to
OGTT and the storage of serum or plasma glucose samples from collection
to centrifugation and analysis. Unfortunately, it is difficult to
guarantee the immediate delivery of blood samples to the laboratory
nowadays. It has become routine to send uncentrifuged samples several
hours after collection, which further impairs glucose stability and
contributes to errors in the diagnosis of dysglycemia. However,
compliance with this recommendation is particularly challenging for the
OGTT, as fasting and post-glucose samples are usually held at the point
of patient care until the test is completed over 2 h.[6,16]
There
are two main approaches to inhibit glycolysis. The first, known for
many years, consists of placing the blood tube in an ice–water slurry
immediately after blood collection and separating the plasma from the
cells within 30 minutes.[7] However, it would be highly impractical to
expect that every sample would be cooled and separated soon after
collection, and placing tubes at 4°C marginally reduces the decay of PG
concentration.[17] The second approach involves collecting venous whole
blood into tubes containing a glycolytic inhibitor.[6,16]
Traditionally, sodium fluoride (NaF) used alone or, more commonly, with
anticoagulants like potassium oxalate, has been used as a long-term
glucose stabilizer but it does not exert immediate inhibition and may
require up to 3-4 h to fully suppress enolase glycolytic enzyme
activity.[18] Gambino et al.[19] have reported a reduction of PG
concentration of 4.6% at 2-h and by 7.0% at 24 h when blood was drawn
into tubes containing a combination of sodium fluoride (NaF) and
potassium oxalate (KOx). To address this limitation, citrate-buffered
tubes have been developed to enhance glycolysis inhibition by lowering
sample pH. Acidification inhibits hexokinase and phosphofructokinase,
enzymes that act early in the glycolytic pathway. The inhibitory effect
of acidification is sustainable for approximately 10 h at 25°C.
However, it should be noted that although citrate tubes maintain
long-term glucose stability at room temperature, the rates of decline
of glucose in the first hour after sample collection in tubes with and
without fluoride are virtually identical.[18] Furthermore, some
observational studies have shown that the shift from NaF to
citrate-buffered tubes has contributed to an over-estimation (~13% ) in
PG measurements when compared to blood collected into conventional
tubes under cooled conditions.[20] An additional problem of
citrate-buffered tubes is the lack of standardization and clinically
significant biases between different tube types used for glucose
measurement.[21-23] Therefore, it has been suggested that, before a
wider adoption of citrate-buffered tubes, larger studies are needed to
confirm or redefine current diabetes diagnostic thresholds.[24-26]
Waiting for the latest findings in this field, the benefits of
fluoride-citrate induced glucose stabilization are likely to outweigh
the disadvantage of a small over-estimation in measured PG, when
compared to other collection tube systems.[27]
Future priorities
The
significant heterogeneity in preanalytical factors affecting glucose
measurement across participating Thalassemia Centers raises the
question of whether this could result in a significant difference in
the reported prevalence of dysglycemia. This survey cannot address this
issue, but it highlights the need for studies aimed at examining the
glycemic status of patients in these Centers by applying the best
available practices in preparation, collection, handling, and analysis,
and comparing the results with the reported rates.
Of note, the
utility of HbA1c as a criterion for diagnosis of dysglycemia is limited
in people with thalassemia major due to the impact of anemia requiring
regular red cell transfusions. For this reason, other biomarkers, such
as fructosamine and glycated albumin, have been used for monitoring of
glycemic control in these patients, without having been validated as
screening tests for glycemia in this population.[28-33] Therefore, OGTT
remains the gold standard test for screening of glycemia in patients
with thalassemia, although its value has been questioned due to
pre-analytical, analytical and post-analytical variables affecting its
reproducibility and accuracy.[6,8] Patients with plasma glucose levels
closer to cut-off values require more attention to avoid diagnostic
misclassification.
Limitations
OOur
study survey has several limitations, the first being the limited
number of Centers participating in the ICET-A survey. Nevertheless. The
total number of β-TDT patients followed in the participating Centers
was large. Second, most of the detected problems were based on
self-reported responses from different Centers. Further, the survey did
not include an evaluation of patients’ adherence to recommended
information, which could be important for the impact of guidelines.
Thirdly, the variability of answers reported by the Centers on specific
pre-analytic questions reported in the questionnaire and the limited
number of subgroups of patients did not permit a comparison of
performance between hematologists versus endocrinologists, adherence
level between academic vs. non-academic Centers, pediatric vs. mixed
adult–pediatric centers, and magnitude of misclassification
attributable to pre-analytical deviations. Finally, the distance, time,
and mode of transport between the Centers/Clinics where blood was drawn
and the central laboratory, and the time required for blood glucose
determinations were not included in the questionnaire.
Other
aspects remain poorly explored; for example, very little is known about
the acute effects of blood transfusion on glucose homeostasis in β-TDT
patients. Wankanit et al.[34] have reported that an increase in Hb of
about 1.5 g/dL, after acute blood transfusions, caused an increase of
insulin secretion and a reduced insulin sensitivity, secondary to an
increase in serum ferritin level (~ 400 µg/L).
Conclusions
Based
on the Standards for Reporting of Diagnostic Accuracy (STARD)
statement, the pre-analytical blood sampling procedures for OGTT
screening in thalassemia Centers involved in the survey require
revision and standardization, recognizing that they can be controlled
and limited but cannot be fully eliminated.
Finally, we would like
to suggest: (i) collaboration between hematologists, endocrinologists,
diabetologists, biochemists, nurses and technicians to increase the
awareness oflaboratory variability in each single step, described above
with the aim of improving the reliability of the results, and to advice
(ii) researchers to report, in their scientific publications, the
methods used in the preanalytical phase for a better interpretation and
comparison of data on glucose homeostasis between different Centers.
Author
Contributions
VDS
and SD designed and implemented the survey. VDS, SD, and PT wrote the
manuscript. ATS, DC, and CK contributed to discussions and
reviewed/edited the manuscript. ATS performed the STARD analysis and
prepared Figure 2. All Centers
certify that they have participated in the work to take public
responsibility for the content, including presentation of data reported
in the survey. VDS takes responsibility for the accuracy of data
analysis. All authors read and approved the final version of the
manuscript.
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