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BY 4.0 license Open Access Published by De Gruyter March 28, 2023

Long-term stability of thyroid peroxidase antibody (anti-TPO) in serum in the Danish General Suburban Population Study

  • Christian Z. Jensen , Birte Nygaard , Jens Faber , Palle L. Pedersen , Morten K. Larsen , Jørgen K. Kanters , Henrik E. Poulsen , Mark Kellogg and Christina Ellervik ORCID logo EMAIL logo

Abstract

Objectives

We evaluated the long-term stability of thyroid peroxidase antibody (anti-TPO).

Methods

In the Danish General Suburban Population Study (GESUS), serum samples were biobanked at −80 °C during 2010–2013. In a paired design with 70 subjects, we compared anti-TPO (30–198 U/mL) measured on fresh serum on Kryptor Classic in 2010–2011 (anti-TPOfresh) with anti-TPO remeasured on frozen serum (anti-TPOfrozen) on Kryptor Compact Plus in 2022. Both instruments used the same reagents and the anti-TPOn automated immunofluorescent assay, which was calibrated against the international standard NIBSC 66/387, based on the Time Resolved Amplified Cryptate Emission (TRACE) technology from BRAHMS. Values greater than 60 U/mL are regarded as positive in Denmark with this assay. Statistical comparisons included Bland-Altman, Passing-Bablok regression, and Kappa statistic.

Results

The mean follow-up time was 11.9 years (SD: 0.43). For anti-TPOfrozen vs. anti-TPOfresh, the line of equality was within the confidence interval of the absolute mean difference [5.71 (−0.32; 11.7) U/mL] and the average percentage deviation [+2.22% (−3.89%; +8.34%)]. The average percentage deviation of 2.22% did not exceed analytical variability. Passing-Bablok regression revealed both a statistically significant systematic and proportional difference: Anti-TPOfrozen=−22.6 + 1.22*(anti-TPOfresh). Frozen samples were correctly classified as positive in 64/70 (91.4%; Kappa=71.8%).

Conclusions

Anti-TPO serum samples in the range 30–198 U/mL were stable after 12-years of storage at −80 °C with an estimated nonsignificant average percentage deviation of +2.22%. This comparison is based on Kryptor Classic and Kryptor Compact Plus, which used identical assays, reagents, and calibrator, but for which the agreement in the range 30–198 U/mL is unclarified.

Introduction

There is a considerable variation in stability and recovery among biomarkers measured on biobanked samples after long-term storage [1]. Reasons for biobanking samples are many, but often researchers decide to measure new biomarkers, which were not considered at the time of enrolment of participants. Thus, it is valuable to know, if biomarkers measured on long-term frozen biobanked samples reliably reflect the fresh values.

Concentrations of thyroid peroxidase antibodies (anti-TPO) vary with age and gender and are associated with hypothyroidism [2], [3], [4], [5]. There is only one previous study evaluating the effect of long-term storage on anti-TPO measurement [6]. That study evaluated storage for up to 23 years at −25 °C in 645 pregnant women. For approximately every second year of storage time, a sample of 50 frozen serum samples were compared with 50 frozen serum samples stored for six months, using samples from different participants at each time point. The concentrations of anti-TPO increased steadily with storage time with a significant difference after two years, and a considerable jump in values after 14 years. The authors concluded that results were likely attributed to long-term storage, because other pre-analytical conditions (sampling, vacutainers, transport, thawing, and storage temperature) did not change during the study.

In the Danish General Suburban Population Study (GESUS), we evaluated retrospectively the long-term stability of serum anti-TPO at −80 °C by repeating measurements on the same participants (n=70). Fresh samples were measured in 2010–2011 and biobanked samples were measured in 2022.

Materials and methods

Ethical approval

Informed consent was obtained from all participants included in this study. The study was approved by the Ethical Review Board (SJ-114) in Region Zealand, Denmark, and the Danish Data Protection Agency (REG-27-2014). The research related to human use has been complied with all the relevant national regulations, institutional policies, and is in accordance with the Helsinki Declaration.

Population

The Danish General Suburban Population Study (GESUS) recruited 21,205 adults (aged≥20 years) from 2010 to 2013 from the Naestved Municipality in Denmark (70 km south of the capital Copenhagen) [78]. Participation was 43%. All participants answered a questionnaire (including information on thyroid disease and medication), had a physical examination, and had blood samples drawn in the non-fasting state between 3 and 9 p.m. Monday to Thursday. Venosafe plastic tubes (Terumo, Leuven, Belgium) were used. Venipuncture was performed with butterfly needles. We collected one lithium heparin plasma (3.5 mL) and two serum tubes (each of 3.5 mL, one with separator and one without), which were spun 30–120 min after collection, kept overnight at 4 °C, and used for biochemical analysis (plasma and serum without separator) or aliquoted (from serum tube with separator) for biobank storage the following morning between 8 a.m. and 12 p.m. (midday). Serum was aliquoted into 2 mL polypropylene cryovials (Nunc GmbH & Co) for −80 °C long-term storage. Thyroid stimulating hormone (TSH), free T4 (FT4), and total T3 (TT3) were measured on fresh samples on Cobas-6000 (Roche) using electrochemiluminescence immunoassays (ECLIA). From 2010 to 2011, anti-TPO was measured on fresh serum (anti-TPOfresh) in 10,458 individuals on the automated BRAHMS Kryptor Classic instrument (BRAHMS, Hennigsdorf, Germany) [8, 9]. Results impacted by interference (hemolysis, bilirubin, lipemia) were not reported. All health examinations and laboratory analyses were performed at Department of Clinical Biochemistry, Region Zealand University Hospital, 4700 Naestved, Denmark.

Study design

In a paired design, in 70 randomly selected individuals from GESUS with fresh anti-TPO values in the range 30–200 U/mL, we compared anti-TPO measured on fresh serum samples on Kryptor Classic at baseline in 2010–2011 with anti-TPO remeasured on frozen serum from the same individuals on Kryptor Compact Plus in 2022. The anti-TPO range of 30–200 U/mL was decided to include samples relatively near to the clinical decision points 60 and 100 U/mL. The actual anti-TPO range on the Kryptor Classic was 30–198 U/mL.

Instruments and assays

The medical laboratory at the department of Clinical Biochemistry, Naestved Hospital, was certified by the DS/EN ISO-15189 with internal and external quality controls programs.

In 2017, the department of Clinical Biochemistry, Naestved Hospital, changed from Kryptor Classic to a newer model Kryptor Compact Plus. An in-house method-verification study was performed by the laboratory before updating the Kryptor model in 2017. The transition to Kryptor Compact Plus was approved based on the performance according to standards for precision and accuracy, and a very high correlation between Kryptor Classic and Compact Plus (Lin’s concordance correlation coefficient 0.99, n=20) (Supplementary Tables 2–4). However, the verification study for the agreement between the two Kryptor instruments was performed in the range 10–25,410 U/mL and included an insufficient number of samples in the range of 30–200 U/mL (n=4) to make a meaningful comparison with this stability study (Supplementary Table 2). The anti-TPOn assay on both instruments was calibrated against the international standard NIBSC 66/387 with a conversion factor of 0.175 (U/mL × 0.175=IU/mL NIBSC 66/387) and reagents were identical.

For all anti-TPO measurements on Kryptor Classic and Kryptor Compact Plus, measurement of anti-TPO (NPU12229) was performed using the anti-TPOn automated immunofluorescent assay based on the Time Resolved Amplified Cryptate Emission (TRACE) technology from BRAHMS. The assay has a direct reading zone of 10–2,000 U/mL and a total reading zone 10–500,000 U/mL, with recovery after dilution varying between 80 and 120%. The functional sensitivity (limit of quantitation) was <50 U/mL, defined as for values which are below 50 U/mL, the CV% is 20% or higher.

The performance acceptability criteria, i.e. the precision (intra-assay CV% and between-assay CV%, reported by the manufacturer), the accuracy (bias), and the desired total allowable error are shown in Supplementary Table 1. The desired total allowable error (TAE=1.65*CV + bias) was based on biological variation. Previously reported biological intraindividual coefficient of variation (CV%) is 11.3% and between-subject CV% is 147% for anti-TPO based on solid-phase time-resolved fluoroimmunometric assay (AutoDelfia, Perkin Elmer/Wallac, Turku, Finland) [10]. Thus, desired imprecision was 5.7% for values above 60 U/mL (based on within individual coefficient of variation [CV]) and desired bias (based on within individual and between individual biological variation) was 36.9% [11]. However, locally in the lab, the desired bias was restricted to 14%. The desired imprecision for values less than 60 U/mL was 14% and based on the between-assay CV% reported by the manufacturer. Thus, desired total allowable error was 23% for both instruments for values above 60 U/mL and 37.1 for values below 60 U/mL (Supplementary Table 1).

According to information provided by the manufacturer, between assay coefficient of variation was 8% for a value of 220 U/mL and 16% for a value of 56 U/mL on Kryptor Classic, and 5.5% for a value of 202 U/mL and 14% for a value of 45 U/mL on Kryptor Compact Plus (Supplementary Table 1). The precision of the assay is determined on internal control material, and the bias is determined on external control material. Assays were followed up daily for precision and several times yearly for accuracy with a Scandinavian quality-control program. Any values that did not meet the desired performance criteria were not reported.

Values greater than 60 U/mL were regarded as positive, while values below or equal to 60 U/mL were regarded as negative according to the manufacturer [12]; these cut-offs are used clinically in Denmark. We also added a cut-off of 100 U/mL which is used with other automated methods [12].

Statistical analyses

We used the statistical programs R (version 4.2.0) and Stata SE (14.1). A p-value less than 0.05 was considered statistically significant. We compared how much anti-TPO measured on frozen serum samples differed from values measured on paired fresh serum samples. Anti-TPO was non-normally distributed, therefore we used non-parametric statistics. For comparisons of continuous measures (mean, median), values below limit of detection (LoD) were not included. For categorical comparisons, a value below LoD is a negative anti-TPO, and thus values below LoD were included in categorical comparisons.

We plotted data of frozen (y-axis) vs. fresh (x-axis) values using Bland-Altman scatter plot and analysis. The Bland-Altman plots for anti-TPOfrozen vs. anti-TPOfresh are formed by plotting the absolute differences (frozen − fresh) or the relative differences (frozen − fresh)/fresh on the vertical Y axis vs. the fresh as the golden standard on the horizontal X axis. A horizontal dotted line representing the bias is drawn. The bias is calculated as the mean of the differences. Limits of agreement are added to the plot and calculated as bias ±1.96 SD. We also used Passing-Bablok regression with the formula: y (frozen)=intercept + beta*x (fresh); if the 95% confidence interval (CI) for the intercept includes “0” there is no systematic bias and if the 95% CI for the beta coefficient (i.e. the slope) includes “1.0” there is no proportional bias between the frozen and the fresh samples. We present Spearman correlation coefficient and Lin’s concordance correlation coefficient (with 0 being no concordance and 1 being perfect concordance). We calculated the instability equation as percentage difference (PD)%=a*time, where “a” is the slope, “time” is the biobank storage time, and the intercept is forced through zero.

We used a Wilcoxon paired sign-rank test for measurement-remeasurement comparisons. We calculated agreement for classification of anti-TPO into positive and negative based on a cut-off of >60 or >100 U/mL using Kappa statistic. A Kappa statistic of −1 indicates bias, of 0 indicates random agreement, and of 1 (100%) indicates perfect agreement. Kappa values above 60% indicate “good agreement “and above 80% “very good agreement” [13].

Results

The average storage time was 11.9 years (SD: 0.43), and two of the 70 samples, which were originally above the LoD, were below LoD when remeasured in frozen samples (Table 1).

Table 1:

Comparison of anti-TPO concentration in frozen and fresh samples in the Danish General Suburban Population Study.

Stability
All w/anti-TPO Subsample Subsample
Year collected 2010–2011 2010–2011
n 10,458 70
Age, years 56.0 (13.6) 58.5 (12.7)
Female, n (%) 5,718 (54.7) 49 (70.0)
Thyroid function test
Year measurement 2010–2011 2010–2011
Fresh/frozen Fresh Fresh
Location NAE NAE
TSH, mU/L 2.12 (2.39) 2.42 (1.68)
FT4, pmol/L 15.6 (2.27) 15.3 (2.31)
Total T3, nmol/L 1.70 (0.33) 1.71 (0.37)
Anti-TPO
 Year measurement 2010–2011 2010–2011 2022
 Fresh/frozen Fresh Fresh Frozen
 Kryptor Classic Classic Compact
Storage time, years
 Mean (SD) 11.9 (0.43)
 Range 11.3–12.8
Anti-TPO, U/mL
 Mean (SD) 379 (3,936) 103 (45) 111 (56)
 Range 11–294,045 30–198 12–295
 Median, IQR 21 (16; 32) 102 (66; 133) 103 (64; 153)a
 <10 U/mL, n (%) 2,242 (15.5) 0 (0) 2 (2.9)
 Anti-TPO >100 U/mL, n (%) 1,104 (10.6) 36 (51.4) 36 (51.4)
 Anti-TPO >60 U/mL, n (%) 1,332 (12.7) 59 (84.3) 55 (78.6)
  1. ap=0.26.

Comparing anti-TPOfrozen with anti-TPOfresh using Bland-Altman revealed that the line of equality was within the confidence interval of the absolute mean difference [5.71 (95% CI: −0.32; 11.7) U/mL] (Figure 1C and Table 2). The line of equality was also within the confidence interval of the average percentage deviation [2.22% (95% CI: −3.89%; +8.34%)] (Figure 1D and Table 2). Thus, the average percentage deviation of 2.22% was not statistically significant and did not exceed the desired total allowable error of 37.1% for values below 60 U/mL or 23.4% for values above 60 U/mL (Supplementary Table 1). The Lin’s correlation coefficient was 0.87 (Figure 1A and Table 2). The Passing-Bablok regression [anti-TPOfrozen=−22.6 + 1.22*anti-TPOfresh] (Table 2) revealed both a systematic and proportional difference between anti-TPOfrozen and anti-TPOfresh. Based on visual inspection of the absolute difference plot, anti-TPO concentrations were generally lower in frozen samples than in fresh samples for fresh values below anti-TPO cut-off of 60 U/mL, but higher in frozen samples than in fresh samples for fresh values above anti-TPO cut-off of 60 U/mL (Figure 1A–D). The proportional difference was highest for low concentrations and lowest for high concentrations (Figure 1A–D). In total, 64 (91.4%) samples were correctly classified in anti-TPOfrozen compared with anti-TPOfresh using an anti-TPO cut-off of 60 U/mL with a Kappa value of 71.8% (Table 3). The six incorrectly classified samples were all within 10 U/mL of the cut-off value (or within a 14.3% deviation from the cut-off value). Using an anti-TPO cut-off of 100 U/mL, 60 (85.7%) samples were correctly classified with a Kappa value of 71.4% (Table 3). Regressing the average difference per year, that is “spreading” the average percentage deviation of 2.22% out over approximately 12 years, the instability equation was PD%=0.20 [95% CI: −0.32 to 0.72] * time (years), p=0.45; thus, a statistically non-significant 0.2% difference in anti-TPO concentration per year.

Figure 1: 
Comparison of anti-TPO measurement in fresh vs. frozen samples. (A–D) Fresh serum measured in 2010–2011 vs. frozen serum remeasured in 2022 in the same 70 participants. rs, Spearman correlation coefficient; rc, Lin’s concordance correlation coefficient. (A) Solid line, line of equality, dashed line=least-square regression line. (C, D) Solid line=line of equality, dotted lines=upper limit of agreement, mean of differences, and lower limit of agreement, dashed line=least-square regression line.
Figure 1:

Comparison of anti-TPO measurement in fresh vs. frozen samples. (A–D) Fresh serum measured in 2010–2011 vs. frozen serum remeasured in 2022 in the same 70 participants. rs, Spearman correlation coefficient; rc, Lin’s concordance correlation coefficient. (A) Solid line, line of equality, dashed line=least-square regression line. (C, D) Solid line=line of equality, dotted lines=upper limit of agreement, mean of differences, and lower limit of agreement, dashed line=least-square regression line.

Table 2:

Comparison of fresh vs. frozen serum anti-TPO values after 12 years of biobank storage for anti-TPO values 30–200 U/mL.

Stability, 2022
Anti-TPOfrozen (Kryptor Compact, Y) vs. Anti-TPOfresh (Kryptor Classic, X)
Variable n Estimate 95% CI
Bland-Altman, absolute values
Mean difference (bias) 68 5.71 −0.32 11.75
Lower LoA 68 −43.14 −53.59 −32.69
Upper LoA 68 54.56 44.11 65.01
Lin’s correlation 0.87
Bland-Altman, percentage values
Mean difference (bias) 68 2.22 −3.89 8.34
Lower LoA 68 −48.17 −50.18 −46.16
Upper LoA 68 52.62 50.51 54.72
Passing-Bablok
Intercept 68 −22.63 −33.52 −11.93
Slope 68 1.22 1.12 1.36
Cusum, p-value p>0.20
  1. LoA, limit of agreement. Bland-Altman values for Anti-TPOfrozen (Y) vs. Anti-TPOfresh(X): fresh(X) on the x-axis is the golden standard and percentage difference is calculated as (frozen(Y) − fresh(X))/fresh(X).

Table 3:

Reclassification of anti-TPO positive and negative when categorized from fresh values compared to remeasured values after 12 years of frozen biobank storage.

Cut-off 60 U/mL Cut-off 100 U/mL
Biobanked (Kryptor Compact) Biobanked (Kryptor Compact)
Anti-TPOfrozen Anti-TPOfrozen
Fresh (Kryptor Classic) Negative Positive Total Negative Positive Total
Anti-TPOfresh Negative 10 1 11 29 5 34
Positive 5 54 59 5 31 36
Total 15 55 70 34 36 70
Correctly classified: n=64 (91.4%) Correctly classified: n=60 (85.7%)
Kappa: 71.8% Kappa: 71.4%

Discussion

This is the first stability study comparing anti-TPO measured on fresh and frozen serum samples from the same subjects before and after 12 years long-term storage. Although there was a systematic and proportional bias between frozen and fresh values, the line of equality was within the mean difference on both the absolute and relative scale. Classification of anti-TPO positivity was correct in 91% of frozen samples using an anti-TPO cut-off of 60 U/mL and 86% using an anti-TPO cut-off of 100 U/mL, which both indicated “good agreement” compared to the classification based on fresh serum samples. The Lin’s correlation coefficient also indicated agreement.

The evaluation of the impact of long-term storage should be compared to the expected analytical variability. The average percentage deviation of 2.22% was not statistically significant and the estimate was less than the desirable total allowable error of 37.1% for values less 60 U/mL and 23.4% for values greater than 60 U/mL. The desired total allowable error is based on a previous study on biological variability of anti-TPO in 24 healthy women between 23 and 46 years old and using thawed frozen serum samples stored for an unreported length of time [10]. Interestingly, the aspect of frozen storage was not discussed in that work, which, via the database provided at the Westgard website [14], probably provide the only evidence used to set desirable error rates for anti-TPO measurements in most laboratories around the world.

Other pre-analytical factors than storage can affect differences between frozen and fresh samples. In our study, the remeasurements were performed on samples thawed for the first time and there was no unintentional thawing of the material from 2010 to 2022 in the biobank. The preanalytical conditions (collection, vacutainers, processing, and storage conditions) at study enrolment were similar for all individuals in our study, although the serum for fresh anti-TPO was collected in a serum tube without separator while the biobanked serum was collected in a serum tube with separator.

Long-term storage of biobanked frozen plasma or serum may result in aggregation, precipitation, or biochemical degradation of proteins which can alter the tertiary structure and activity of the proteins [1]. The changes may be caused by ice damage to the proteins caused by water crystallization or dehydration of the samples and subsequently increased salt concentration resulting in osmotic damage of the proteins [1]. These factors may ultimately have caused changes in the measurements of anti-TPO when they were (re-)measured several years after collection.

The only other previous study of anti-TPO stability, used an unpaired design to compare the long-term anti-TPO stability over 23 years at −25 °C in 645 pregnant women from the Finnish Maternity Cohort [6]. The serum samples with the longest storage times were included from participants enrolled in the 1980s, whereas the serum samples stored for 6 months were included in the 2000s [6, 15]. The study did not provide the exact values for each year, but from our visual inspection of the presented boxplot, the median concentrations of anti-TPO in samples measured after 6–10 years storage time were doubled compared to baseline [6]. This is more than what we observed in our study after 12 years of storage. However, changes in population demographics and iodine sufficiency over time in this cohort could be explanatory factors for these changes instead of storage time per se [16]. In the 1980s, Finland had the highest iodine intake in Europe leading to the iodine fortification of salt no longer deemed necessary in 1986 [16]. However, since then iodine intake decreased and in the 2000–2010s the general Finish population displayed mild iodine deficiency [16]. Speculatively, the positive association between thyroid autoantibodies and storage time in the Finnish cohort, may be related to the substantial decrease in iodine intake observed during the same period.

Anti-TPO antibodies are predominantly subclasses of IgG antibodies [17]. A previous study, also using an unpaired design, assessed the stability of total IgG after one month, 2 and 25 years of storage at −25 °C comparing three different groups, each comprised of 130 healthy Norwegian male blood donors [18]. In that study, results were more similar to our data, and a non-significant percent difference of mean of 1.0% in total IgG was observed when comparing serum stored for 25 years with serum stored for one month.

Stability studies on long-term frozen samples are more prone to instrument change than short-term stability studies over hours, weeks, or months. This makes it challenging to separate the difference between frozen and fresh samples due to long-term storage or the difference between the instruments. Our study design is limited by the update of the Kryptor analyzer during the long-term storage. The verification study performed in the lab at the time of updating the equipment showed that while measurements were slightly higher on the updated Kryptor, the precision (CV), accuracy (bias based on external control samples), and correlation with the Kryptor Classic were satisfactory (Supplementary Tables 2–4). However, the verification study for the agreement between the two Kryptor analyzers was performed in the range 10–25,410 U/mL and included an insufficient number of samples in the range of 30–200 U/mL (n=4) to make a meaningful comparison in this range (Supplementary Table 2). Therefore, the exact agreement in the relevant range is unknown. While this is a limitation, most other variables were identical for fresh and remeasured samples including the assay, the reagents, the calibrator, and the participants. Ideally, a stability study for any biomarker should be planned already at the collection of the samples for biobanking and sufficient samples should be aliquoted to allow for remeasurements multiple times during biobanking to investigate stability [119]. Due to the retrospective design, in which fresh samples were only run once at baseline, it was decided that frozen samples were run under the same conditions. Ideally, samples in both states should have been run in duplicate to increase precision. While the stability study was not ideally designed, we find the information presented of practical relevance.

In conclusion, anti-TPO serum samples in the range 30–198 U/mL were stable after 12-years of storage at −80 °C with an estimated nonsignificant average percentage deviation of +2.22%. Both a systematic and proportional difference between fresh and frozen values contributed to this relative bias. This comparison is based on Kryptor Classic and Kryptor Compact Plus, which used identical assays, reagents, and calibrator, but for which the agreement in the range 30–198 U/mL is unclarified.


Corresponding author: Christina Ellervik, MD, PhD, DMSci, Associate Professor, Assistant Professor, Department of Data Support, Region Zealand, Sorø, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Assistant Professor, Department of Laboratory Medicine, Boston Children’s Hospital, Boston, USA; Department of Pathology, Harvard Medical School, Boston, USA, E-mail:

Funding source: The Local Government Denmark Foundation

Funding source: Naestved Hospital

Funding source: The National Board of Health

Funding source: Johannes Fog’s Foundation

Funding source: Region Sjælland

Funding source: Stofskifteforeningen

Funding source: The Danish Ministry of Health

Funding source: Naestved Municipality

Funding source: Johan and Lise Boserup Foundation

Funding source: Region Zealand Research Foundation

Funding source: Naestved Hospital Foundation

Funding source: Laboratory Medicine Endowment Fund of Boston Children’s Hospital

  1. Research funding: The study received funding from the Danish Ministry of Health via a grant given to research of thyroid treatments in December 2018. The Danish Ministry of Health did not have any influence on any part of the study or manuscript. GESUS was funded by the Region Zealand Research Foundation, Naestved Hospital Foundation, Naestved Municipality, Johan and Lise Boserup Foundation, TrygFonden, Johannes Fog’s Foundation, Region Zealand, Naestved Hospital, The National Board of Health, The Local Government Denmark Foundation. None of these had any influence on any part of the study or manuscript. CE is partly funded by the Laboratory Medicine Endowment Fund of Boston Children’s Hospital.

  2. Author contributions: PLP, MKL, and CE collected GESUS individuals and measured anti-TPO at Naestved Hospital, Denmark; CE, HEP, BN, JF, and JKK were supervisors for CZJ. CZJ and CE analyzed data statistically and made the displays. CE and CZJ wrote the manuscript draft. All authors revised the manuscript and agreed for publication. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Mark Kellogg reports: Consulting for ProterixBio Inc., WeavrHealth Inc., and Roche Diagnostics, and Board Member for American Association for Laboratory Accreditation. Christina Ellervik reports consulting for Area9Lyceum.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The study was approved by the Ethical Review Board (SJ-114) in Region Zealand, Denmark, and the Danish Data Protection Agency (REG-27-2014).

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2022-0845).


Received: 2022-08-29
Accepted: 2023-03-08
Published Online: 2023-03-28
Published in Print: 2023-08-28

© 2023 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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