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Analytical verification of the Atellica VTLi point of care high sensitivity troponin I assay

  • Christopher M. Florkowski EMAIL logo , Vanessa Buchan , Bobby V. Li ORCID logo , Felicity Taylor , Minh Phan , Martin Than ORCID logo and John W. Pickering ORCID logo
Published/Copyright: August 28, 2024

Abstract

Objectives

The Siemens Point-of-Care Testing (POC) Atellica® VTLi high-sensitivity troponin I (hsTnI) device has been previously validated. Verification independently provides evidence that an analytical procedure fulfils concordance with laboratory assays, imprecision, and hemolysis interference requirements.

Methods

Five whole blood samples spanning the measuring interval were analysed 20 times in succession. Hemolysis interference was assessed at three troponin concentrations by spiking five hemolysate concentrations to plasma to achieve free hemoglobin concentrations 35–1,000 mg/dL. Concordance between whole blood (VTLi) and plasma on laboratory analysers (Beckman, Roche, Siemens) was assessed by Pearson correlation and kappa statistics at the (LOQ) and upper reference limit (URL). This was repeated for frozen plasma samples.

Results

Coefficients of variation for whole blood were <10 % for whole blood troponin concentrations of 9.2 and 15.9 ng/L, thus below the URL. Hemolysis positively interfered; at 250 mg/dL affecting the low troponin sample (+3 ng/L; +60 %) and high troponin sample (+37 ng/L; +24 %). Correlation coefficients were 0.98, 0.90 and 0.97 between VTLi and Beckman, Roche and Siemens assays respectively. Corresponding kappa statistics were 0.80, 0.73 and 0.84 at the LOQ and 0.70, 0.44 and 0.67 at the URL.

Conclusions

Concordances between VTLi and laboratory assays were at least non-inferior to those between laboratory assays. Imprecision met manufacturer claims and was consistent with a high sensitivity assay. There is potential for hemolysis interference, highlighting the need for quality samples. The results support performance characteristics previously reported in validation studies, and the device offers acceptable performance for use within intended medical settings.

Introduction

Cardiac troponin (cTn) assays have evolved through several decades to the most recent generation coined ‘high sensitivity’ (hsTn) assays. In order to be assigned as ‘high sensitivity’, the required attributes are an imprecision of ≤10 % CV (coefficient of variation) at the 99th percentile upper reference limit (URL) and the ability to measure ≥50 % of concentrations greater than or equal to the assay’s limit of detection (LoD) [1]. Several laboratory troponin assays that fulfil these criteria are well established [2]. Point-of-care testing (POCT) devices for troponin measurement that meet these criteria have been more recently developed [2]. These include the Siemens POC Atellica® VTLi hsTnI immunoassay [3].

Although accelerated diagnostic pathways in the Emergency Department (ED) have evolved considerably since the emergence of high-sensitivity troponins, the rate limiting factor for decision making is now the turnaround time (TAT) for the troponin assay within the clinical laboratory, considered to be unnecessarily protracted. As a consequence, this adds to ED overcrowding, which is associated with poor patient outcomes. The advent of high sensitivity POCT offers the potential for faster results, circumventing the longer laboratory TATs and facilitating more immediate clinical decision making in the ED [4, 5]. The Siemens POC Atellica® VTLi hsTnI immunoassay (Forchheim, Germany) is able to produce a result in less than ten minutes and may assist to reduce ED overcrowding.

Initial validation studies have been undertaken on the Siemens POC Atellica® VTLi hsTnI immunoassay [3, 6]. Using heparinized plasma from the American Association of Clinical Chemists (AACC) now known as the Association for Diagnostics and Laboratory Medicine (ADLM) universal sample bank, key performance characteristics have been defined for this device [3]. In apparently healthy subjects (overall 693, males 363, and females 330 and following exclusion of those with abnormal HbA1c, NT-proBNP, eGFR, and those on statin medication) hsTnI was measured on multiple POC Atellica® VTLi immunoassay analyzers. Both male and female subjects measured >50 % of subjects with >80 % measurable above the assay’s LoD, consistent with ‘high sensitivity’ performance [3].

Subsequently, comprehensive validation studies were published for the same device applying Clinical Laboratory Standards Institute (CLSI) protocols [6]. These included limit of blank (LoB), limit of detection (LoD), limit of quantitation (LoQ), applying CLSI-EP17-A2 [7]. Also precision, applying CLSI EP05-A3 [8], linearity applying CLSI EP06-A [9] and analytic specificity with several reagent lots, applying CLSI EP07-3, 3rd Ed [10] and CLSI EP37, 1st Ed [11]. Bland-Altman, Passing-Bablok (r), and hematocrit bias plots compared hsTnI measurement in lithium-heparin plasma (PL) and whole blood (WB) matrices applying CLSI EP09c [12]. Linearity spanned from LoQ to 1,250 ng/L. Specificity was >90 % for 40 potential interferences [6]; no hook effect was detected for cTnI concentrations ranging from LoQ to 1,000,000 ng/L [6]. Positive bias was noted for Li-hep plasma relative to whole blood of 6.3 and 3.8 % in the lower range of ≤50 ng/L and higher range >50 ng/L, respectively [6].

As a prelude to undertaking clinical outcomes studies [13], we undertook verification of the data presented in the above validation studies and made comparisons with laboratory methods to establish degrees of concordance relative to key cut-offs for each assay including LOQ and whole blood URLs.

Materials and methods

Setting

Four hospital laboratories were involved with four different laboratory based analyzers: Christchurch hospital (Beckman Coulter DxI 800, Brea, CA, USA), Waikato hospital (Roche cobas 801, Basel, Switzerland), North Shore hospital (Siemens Atellica High-Sensitivity TnI (TnIH), Forchheim, Germany), and Hawke’s Bay hospital (Abbott Alinity STAT High Sensitive Troponin-I, Abbott Park, IL, USA). Assay characteristics are given in Supplementary Table 1. To distinguish the Siemens Atellica High-Sensitivity TnI assay from the Siemens Atellica VTLi hsTnI analyzer (POC) we refer to the latter simply as VTLi.

Part 1: Assay precision and hemolysis

Intra-assay precision

Five whole blood patient samples spanning the measuring interval were selected for reproducibility testing on the VTLi analyzer. Samples less than 2 h old with appropriate hsTnI concentrations were identified based on result from Beckman Coulter and retrieved from storage, resuspended by gentle inversion at least ten times, then run on VTLi analyzer 20 times in succession with the same operator and same lot number of cartridge.

Reproducibility of quality control material was also assessed. Cardiac Acute Liq L−1 and two quality control materials were thawed from −20 °C to room temperature on gentle mixer for ten minutes. Both levels were run 20 times consecutively on Atellica VTLi hsTnI analyzer.

Mean, standard deviation, and reproducibility coefficient of variation were calculated at each hsTnI concentration.

Hemolysis interference studies

Hemolysis interference was assessed by spiking six concentrations of hemolysate to plasma to target a final free hemoglobin concentration of 0 to 1,000 mg/dL in hemolyzed samples. Hemoglobin was measured on a Sysmex XN-20 analyser using the cyan-methaemoglobin method. Three concentrations of troponin were evaluated, including a low concentration, high concentration, and one near the female URL percentile, using samples with initial hemolysis, icterus or lipaemia index of zero. Care was taken to limit the increase in volume to within 5 %. Differences were assessed compared with a baseline of 0 mg/dL hemolysate, with a difference of 2 ng/L at TnI ≤10 ng/L or 20 % at TnI >10 ng/L considered significant as per the Royal College of Pathologists of Australasia Quality Assurance Programs (RCPAQAP) Chemical Pathology Analytical Performance Specifications [14].

Part 2: Comparison with laboratory methods

Laboratory fresh plasma vs. VTLi whole blood

The assay thresholds for whole blood, according to package inserts as published by the International Federation of Clinical Chemists, and the thresholds applied in this study are summarized in Supplementary Table 1 for the VTLi POC assay, and the three comparison assays, Beckman Coulter, Roche cobas, and Siemens Atellica [2].

Each of the three comparison assay results (for plasma) were plotted against the VTLi (whole blood) results. Double-discordant results were where one assay was <LoQ for one assay and >URL for the comparison assay or vice-versa. These have been highlighted in red in the graphs.

Two-by-two tables were constructed for thresholds, LoD, LoQ, URL comparing those above and below the thresholds for each comparison assay with the VTLi results. For VTLi, Beckman hsTnI, and Siemens hsTnI sex specific URLs have been used, for Roche it is the overall URL.

Identical frozen plasma samples vs. VTLi whole blood

Following whole blood testing with the VTLi (at Christchurch, Waikato, and North Shore hospitals), four aliquots were taken for each sample, spun, and plasma frozen at −20 °C. These were distributed to each of the four sites (including Hawke’s Bay for analysis on the Abbott Alinity platform) where they were thawed at room temperature for 2 h and centrifuged before troponin concentrations were measured on the local laboratory platform, thus samples from the same patient were measured on multiple platforms.

The same process as for Part 1 was followed, namely:

  1. Plotting of each laboratory assay against the VTLi and against each other.

  2. Identification of outliers, production or regression lines and correlation coefficients.

  3. Identification of double discordant results.

  4. Two by two tables at thresholds and production of kappa statistics.

Additionally, amongst the samples which were measured on all five analyzers, we constructed two by two tables of the numbers below the 20 % CV and below the URL.

As a comparative additional analysis we assessed the correlation between laboratory assays using the frozen samples. The results are presented in the Supplement.

Statistical analysis

For comparison between assays, outliers were identified using Cook’s distance (after log transformation because of the skewed distributions) and applying the common threshold of Cook’s distance >4/n, where n was the number of paired samples. Regression lines (Passing-Bablok) and correlation coefficients (Pearson’s r) were generated for each comparison using values greater than the 20 % CV and less than the maximum reportable value for both assays and excluding outliers. From these correlation coefficients, linearity of response could be assessed relative to laboratory assays known to exhibit strong linearity.

The prevalence-adjusted-bias-adjusted (pabak) kappa statistic was used to estimate the true agreement between the VTLi and comparison assay at each of the thresholds. This statistic has a range from 0 to 1 with higher values indicating greater agreement. All analyses were completed in R 4.2.2 [15].

Results

Part 1: Assay precision and hemolysis

Intra-assay precision

Repeatability was acceptable with coefficient of variation for whole blood <10 % for concentrations <URL TnI (whole blood Levels 2 and 3), and similar to manufacturer claims (Table 1). The QC level 1 had repeatability CV <10 % around the whole blood URL for females, and similar to manufacturer claims of 6.3–9.3 % for this concentration while QC level 2 was slightly over 10 %, slightly higher than manufacturer claims of 7.1–8.4 %.

Table 1:

Intra-assay precision.

WB level 1 WB level 2 WB level 3 WB level 4 WB level 5 QC level 1 QC level 2
n repeats 20 17 20 20 20 20 20
Mean 3.3 9.2 15.9 33.2 989.8 16.4 26.5
SD 0.9 0.8 1.1 2.2 41.4 1.4 2.9
CV, % 28.2 8.7 7.1 6.7 4.2 8.5 10.9
  1. WB, whole blood; QC, quality control.

Hemolysis interference studies

Hemolysis resulted in a consistently positive interference for plasma samples, in a concentration dependent manner, varying by TnI concentration (Table 2). When evaluated against RCPA APS [14], samples did not have significant interferences at hemolysate concentration of 100 mg/dL. However, the low sample (+3 ng/L; +60 %) and high sample (+37 ng/L; +24 %) began to have significant hemolysis interference that appears to plateau at 250 mg/dL, while the 99th percentile sample began to have significant hemolysis interference at 500 mg/dL (+3.6 ng/L; +24 %). This is a level significantly lower than manufacturer claims of robustness (±10 %) up to hemoglobin 1,000 mg/dL.

Table 2:

Hemolysis interference.

Hemolysate dilutions Low sample TnI, ng/L Change from baseline 99th female percentile TnI, ng/L Change from baseline High sample TnI, ng/L Change from baseline
0 mg/dL 5 15.1 154
35 mg/dL 7 +40 % 16.8 +11 % 158 +3 %
100 mg/dL 7 +40 % 16.8 +11 % 174 +13 %
250 mg/dL 8 +60 % 16.3 +8 % 191 +24 %
500 mg/dL 7.6 +52 % 18.7 +24 % 231 +50 %
1,000 mg/dL 6.6 +32 % 17 +13 % 203 +32 %

Part 2: Comparison with laboratory methods

Laboratory fresh plasma vs. VTLi whole blood

VTLi (whole blood) vs. Beckman hsTnI (plasma)

There were 143 samples with concentrations measured by both assays in Christchurch Hospital Laboratory. The correlation, was 0.98 (95%CI: 0.97–0.99) over the range >20%CV to <maximum concentration (Figure 1A). The regression line slope was 0.53 (95%CI: 0.52–0.53) and intercept was 3.5 ng/L (95%CI: 3.4–3.5). The adjusted kappa statistics were good with the smallest (at the URL: 0.70) (Table 3). At the URL there were more Beckman>URL than VTLi.

Figure 1: 
Correlation between assays. Red point is a double-discordant. Blue were outliers identified for the blue regression line (only). (A) Regression line slope 0.53 (95%CI: 0.52–0.53) and intercept 3.5 (95%CI: 3.4–3.5), r=0.98 (95%CI: 0.97–0.99). (B) Regression line slope 0.8 (95%CI: 0.74–0.84) and intercept −2.6 (95%CI: −3.8–−1.9), r=0.90 (95%CI: 0.86–0.93). (C) Regression line slope 0.35 (95%CI: 0.29–0.52) and intercept 4.1 (1.8–5.3), r=0.97 (95%CI: 0.95–0.99).
Figure 1:

Correlation between assays. Red point is a double-discordant. Blue were outliers identified for the blue regression line (only). (A) Regression line slope 0.53 (95%CI: 0.52–0.53) and intercept 3.5 (95%CI: 3.4–3.5), r=0.98 (95%CI: 0.97–0.99). (B) Regression line slope 0.8 (95%CI: 0.74–0.84) and intercept −2.6 (95%CI: −3.8–−1.9), r=0.90 (95%CI: 0.86–0.93). (C) Regression line slope 0.35 (95%CI: 0.29–0.52) and intercept 4.1 (1.8–5.3), r=0.97 (95%CI: 0.95–0.99).

Table 3:

Summary of agreement between the VTLi and laboratory assays. Adjusted kappa statistics (95 %CI).

VTLi whole blood vs. laboratory plasma Frozen plasma concordance
LoD (95 %CI) LoQ/20 %CV (95 %CI) URL/99th percentile (95 %CI) LoD (95 %CI) LoQ/20 %CV (95 %CI) URL/99th percentile (95 %CI)
VTLi vs. Beckman hsTnI 0.90 (0.80–0.96) 0.80 (0.68–0.89) 0.70 (0.58–0.82) 0.83 (0.71–0.92) 0.82 (0.69–0.90) 0.90 (0.82–0.95)
VTLi vs. Roche hsTnT 0.75 (0.62–0.84) 0.73 (0.61–0.83) 0.44 (0.31–0.57) 0.82 (0.73–0.89) 0.75 (0.64–0.83) −0.1 (−0.24 to 0.04)
VTLi vs. Siemens hsTnI 0.77 (0.56–0.91) 0.84 (0.64–0.95) 0.65 (0.46–0.84) 0.60 (0.55–0.78) 0.68 (0.55–0.78) 0.95 (0.89–0.98)
VTLi vs. Abbott hsTnI NA NA NA 0.83 (0.73–0.91) 0.74 (0.62–0.83) 0.93 (0.87–0.97)
  1. NA, not available; LoD, limit of detection; LoQ, limit of quantitation; CV, coefficient of variation; URL, upper reference limit.

There was one (0.7 %) double-discordant with a VTLi <20%CV and Beckman>Female URL. This was an 85 year old Female where the troponin result was rate related. The Beckman hsTnI of 15 ng/L was her baseline (it was also 15 on two previous measures three weeks earlier). In 2020 an Abbott hsTnI was 10 ng/L. Arguably, having a cTn done was not indicated. There was no MI.

In addition, the two measurements at ∼40 ng/L on the VTLi and 5 ng/L on the Beckman were from the same person. This person was pre-syncope, did not collapse, but had pressed a St John’s alarm. They had tachycardia on ECG and no MI was diagnosed.

VTLi (whole blood) vs. Roche hsTnT (plasma)

There were 158 samples with concentrations measured by both assays in Waikato Hospital Laboratory. The correlation was 0.90 (95%CI: 0.86 to 0.93) over the range >20%CV to <maximum concentration (Figure 1B). The regression line slope was 0.35 (95%CI: 0.29 to 0.52) and intercept 4.1 ng/L (95%CI: 1.8 to 5.3). There was one (0.6 %) double-discordant (Unique ID ROC269) with a VTLi <20%CV and Roche>URL. The adjusted kappa statistics were good with the exception of at the URL. Here the adjusted kappa was 0.44 (Table 3). At the URL there were more Roche>URL than VTLi. This is typical for comparisons between hsTnI assays and the Roche hsTnT assay.

VTLi (whole blood) vs. Siemens hsTnI (plasma)

There were 62 samples with concentrations measured by both assays in North Shore Hospital Laboratory. The smaller numbers than the other comparisons increases the confidence intervals. The correlation, was 0.97 (95%CI: 0.95 to 0.99) over the range >20%CV to <maximum concentration (Figure 1C). There were no double-discordant results. The adjusted kappa statistics were good (Table 3).

Additional Bland-Altman plots are provided in the Supplement.

Identical frozen plasma samples vs. VTLi whole blood

There were 98 samples that were measured on whole blood with the VTLi and on plasma on all four laboratory assays. There were up to 204 samples between the VTLi and each assay (Supplementary Table 3). Details are given in the supplement. Correlations were high between the VTLi and laboratory TnI assays and moderate (0.67) with the Roche hsTnT assay. The adjusted kappa statistics were very good or reasonable except for at the URL with Roche hsTnT (Table 3).

In the additional analysis between laboratory assays (Supplement section 2.3), there was very good correlation and concordance at the URL between the hsTnI assays. The correlation was lower between the hsTnT assay and the hsTnI assays. At the URL the concordance between the hsTnT assay and several of the hsTnI assays was poor (Supplementary Table 4).

Discussion

POCT devices for troponin measurement that meet the criteria for ‘high sensitivity’ (imprecision ≤10 % CV at the 99th percentile and able to measure ≥50 % of concentrations greater than or equal to the assay’s LOD) have been recently developed [2]. These include the Siemens POC Atellica® VTLi hsTnI immunoassay [3] device which has the capacity to deliver results within ten minutes and to facilitate more rapid decision making in critical environments such as the ED.

For intra-assay imprecision, QC level 1 had CV <10 % around the plasma 99th percentile for females, consistent with a ‘high sensitivity’ troponin assay and similar to manufacturer claims. The CV for QC level 2 was slightly over 10 % and slightly higher than manufacturer claims. At a whole blood mean troponin concentration 3.27 ng/L, CV was 28.2 %, thus slightly higher than the expected 20 % CV at the LOQ for whole blood of 3.7 ng/L [6].

Pearson correlation coefficients supported a linear response.

Hemolysis resulted in a consistently positive interference for plasma samples, in a concentration dependent manner, varying by TnI concentration. Although not seen at lower degrees of hemolysis, the low sample (+3 ng/L; +60 %) and high sample (+37 ng/L; +24 %) began to show significant hemolysis interference that appeared to plateau at 250 mg/dL for reasons that are unclear, while the 99th percentile sample began to have significant hemolysis interference at 500 mg/dL (+3.6 ng/L; +24 %). This is a level significantly lower than manufacturer claims of robustness (±10 %) up to hemoglobin 1,000 mg/dL.

This indicates that there is some potential for interference with hemolysis for which one would not necessarily be aware of when analysing whole blood samples. There are newer technological advances such as trans-membrane electrochemistry that may offer the possibility of detecting hemolysis in whole blood samples [16], although unlikely to be applicable soon in the POCT field. It reinforces that care should be taken to avoid hemolysis in taking samples as this may otherwise confound interpretation and in particular, if results from serial samples are being compared where there are differing degrees of hemolysis.

The comparisons with the laboratory methods showed generally good concordance at the LOD for Beckman, Roche and Siemens laboratory assays respectively. Concordances were less good for whole blood URL. Encouragingly, there were only two doubly discordant data points (troponin <LOQ for Atellica and >URL for laboratory assay), one for the Beckman assay (in a patient judged unlikely to have had an MI) and one for the Roche assay under investigation. Note, the VTLi LOQ, 4 ng/L, was also the derived stand-alone single-sample low-risk threshold from a clinical outcome study [17, 18]. The single-sample low-risk threshold derived from our own clinical outcome study for use within an accelerated diagnostic pathway that included electrocardiogram and risk scoring was determined to be 7 ng/L [19].

The comparisons across assays using frozen samples, including the Abbott hsTnI assay, showed good concordance with the VTLi assay. Concordances between the VTLi assay and the laboratory assays were at least non-inferior to the comparisons of laboratory assays with each other. The correlation of the VTLi with the Roche hsTnT and the concordance at the URL was comparatively poor compared to with the other hsTnI assays. However, this was no worse than for any of the other hsTnI assays with the Roche hsTnT assay.

Limitations

Verification is the provision of objective evidence that an analytical procedure (in the present case, a POCT analyser for hsTnI) fulfils specified requirements. It is inherently less rigorous than full validation, which is conducted according to prescribed CLSI protocols and as reported for the Atellica VTLi device [6]. Our verification procedures were designed to confirm that the VTLi performed adequately well for its intended purpose. VTLi was deemed to perform sufficiently well to undertake clinical outcome studies by intended end-users in the ED and as a prelude to incorporating the device into pathways for clinical decision making.

Conclusions

Our verification studies support the performance characteristics of the Atellica® VTLi device as reported from more rigorous validation studies [3, 6]. The assay characteristics offer acceptable performance for use within the intended medical settings.


Corresponding author: A/Prof. Christopher M. Florkowski, MD, Canterbury Health Laboratories, Christchurch Hospital, Christchurch, 8011, New Zealand, E-mail:

Acknowledgments

We thank the clinical chemistry departments and where appropriate, POCT testing staff for sample collection and comparative studies in North Shore Hospital (Siemens hsTnI), Waikato Hospital (Roche hsTnT) and Hawkes Bay Hospital (Abbott hsTnI) for their contributions.

  1. Research ethics: Ethics approval was granted by the New Zealand Southern Health and Disability Ethics Committee, reference 21/STH/9.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. Conceptualization: CMF, MT; Methodology: CMF, VB, BL; Investigation & Resources: FT, MP, VT; Data curation: FT, MP, JWP; Formal Analysis & Visualization: JWP; Funding acquisition: MT; Writing original draft: JWP, CMF, VB; Writing review and editing: all authors.

  4. Competing interests: JWP has undertaken statistical consultancy for Siemens Healthineers, Radiometer, QuidelOrtho, Upstream Medical Technologies, and Luminoa. MT has received honoraria and research funding from Abbott, Alere, Beckman, QuidelOrtho, Radiometer, Roche and Siemens Healthineers. All other authors have no competing interests. Siemens Healthcare Limited had no part in the writing of the manuscript, data analysis, interpretation, or decision to submit for publication.

  5. Research funding: This work was supported in part by the Health Research Council of New Zealand grant number 19-234. Support in kind was also provided by Christchurch hospital and laboratory as part of the on-boarding of the VTLi test. Siemens Healthcare Limited provided the POC devices and assays. They provided guidance for the training of the staff and installation of the product. Additional funding was provided by Siemens to, and at the request of, project management and communication time.

References

1. Apple, FS, Jaffe, AS, Collinson, P, Möckel, M, Ordonez-Llanos, J, Lindahl, B, et al.. IFCC educational materials on selected analytical and clinical applications of high sensitivity cardiac troponin assays. Clin Biochem 2015;48:201–3. https://doi.org/10.1016/j.clinbiochem.2014.08.021.Search in Google Scholar PubMed

2. International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). High-sensitivity* cardiac troponin I and T assay analytical characteristics designated by manufacturer IFCC v052023 [Internet]. In International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). 2023 May. Report No.: v052023. Available from: https://ifcc.org/ifcc-education-division/emd-committees/committee-on-clinical-applications-of-cardiac-bio-markers-c-cb/biomarkers-reference-tables/.Search in Google Scholar

3. Apple, FS, Schulz, K, Schmidt, CW, van Domburg, TSY, Fonville, JM, de Theije, FK. Determination of sex-specific 99th percentile upper reference limits for a point of care high sensitivity cardiac troponin I assay. Clin Chem Lab Med 2021;59:1574–8.10.1515/cclm-2021-0262Search in Google Scholar PubMed

4. Greiser, A, Winter, T, Mahfoud, H, Kallner, A, Ittermann, T, Masuch, A, et al.. The 99th percentile and imprecision of point-of-care cardiac troponin I in comparison to central laboratory tests in a large reference population. Clin Biochem 2017;50:1198–202. Available from: https://doi.org/10.1016/j.clinbiochem.2017.08.006.Search in Google Scholar PubMed

5. Pickering, JW, Young, JM, George, PM, Watson, AS, Aldous, SJ, Troughton, RW, et al.. Validity of a novel point-of-care troponin assay for single-test rule-out of acute myocardial infarction. JAMA Cardiol 2018;3:1108–12. https://doi.org/10.1001/jamacardio.2018.3368.Search in Google Scholar PubMed PubMed Central

6. Christenson, RH, Frenk, LDS, de Graaf, HJ, van Domburg, TSY, Wijnands, FPG, Foolen, HWJ, et al.. Point-of-Care: roadmap for analytical characterization and validation of a high-sensitivity cardiac troponin I assay in plasma and whole blood matrices. J Appl Lab Med 2022;7:971–88. https://doi.org/10.1093/jalm/jfac028.Search in Google Scholar PubMed

7. CLSI. Evaluation of detection capability for clinical laboratory measurement procedures. CLSI guideline EP17-A2. Wayne (PA): Clinical and Laboratory Standards Institute; 2012.Search in Google Scholar

8. CLSI. Evaluation of precision of quantitative measurement procedures. CLSI guideline EP05-A3. Wayne (PA): Clinical and Laboratory Standards Institute; 2018.Search in Google Scholar

9. CLSI. Evaluation of linearity of quantitative measurement procedures. CLSI guideline EP06-A. Wayne (PA): Clinical and Laboratory Standards Institute; 2018.Search in Google Scholar

10. CLSI. Interference testing in clinical chemistry. CLSI guideline EP07-3. Wayne (PA): Clinical and Laboratory Standards Institute; 2018.Search in Google Scholar

11. CLSI. Supplement (EP37) supplemental tables for interference testing in clinical chemistry. CLSI guideline EP07. Wayne (PA): Clinical and Laboratory Standards Institute; 2018.Search in Google Scholar

12. CLSI. Measurement procedure comparison and bias estimation using patient samples. CLSI guideline EP09c. Wayne (PA): Clinical and Laboratory Standards Institute; 2018.Search in Google Scholar

13. Pickering, JW, Devlin, G, Body, R, Aldous, S, Jaffe, AS, Apple, FS, et al.. Protocol for improving CARE by FAster risk-STratification through use of high sensitivity point-of-care troponin in patients presenting with possible acute coronary syndrome in the EmeRgency department (ICare-FASTER): a stepped-wedge cluster randomised quality improvement initiative. BMJ Open 2024;14:e083752. https://doi.org/10.1136/bmjopen-2023-083752.Search in Google Scholar PubMed PubMed Central

14. Chemical Pathology Analytical Performance Specifications [Internet]. Royal College of Pathologists Australasia; 2022 [cited 2023 Oct 6]. Available from: https://rcpaqap.com.au/resources/chemical-pathology-analytical-performance-specifications/.Search in Google Scholar

15. R Core Team. R: A language and environment for statistical computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2023. Available from http://www.R-project.org/.Search in Google Scholar

16. Doménech-Carbó, A, Villamón, E, Luna, I, Ramos, D, Doménech-Casasús, C, Cebrián-Torrejón, G. Transmembrane electrochemistry of erythrocytes: direct electrochemical test for detecting hemolysis in whole blood. Sensor Actuator B Chem. 2016;226:419–28. https://doi.org/10.1016/j.snb.2015.12.001.Search in Google Scholar

17. Apple, FS, Smith, SW, Greenslade, JH, Sandoval, Y, Parsonage, W, Ranasinghe, I, et al.. Single high-sensitivity point of care whole blood cardiac troponin I measurement to rule out acute myocardial infarction at low risk. Circulation. 2022;146:1918–29. https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.122.061148.10.1161/circ.146.suppl_1.12816Search in Google Scholar

18. Cullen, L, Greenslade, J, Parsonage, W, Stephensen, L, Smith, SW, Sandoval, Y, et al.. Point-of-care high-sensitivity cardiac troponin in suspected acute myocardial infarction assessed at baseline and 2 h. Eur Heart J. 2024:ehae343.10.1093/eurheartj/ehae343Search in Google Scholar PubMed

19. Pickering, JW, Hamill, L, Aldous, S, Joyce, L, Stothart, RA, Williams, O, et al.. Determination of a whole-blood single-test low-risk threshold for a point-of-care high-sensitivity troponin assay. Emerg Med J. 2024;41:322–3. https://doi.org/10.1136/emermed-2023-213689.Search in Google Scholar PubMed


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2024-0312).


Received: 2024-03-07
Accepted: 2024-08-16
Published Online: 2024-08-28
Published in Print: 2025-01-29

© 2024 the author(s), published by De Gruyter, Berlin/Boston

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

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. CD34+ progenitor cells meet metrology
  4. Reviews
  5. Venous blood collection systems using evacuated tubes: a systematic review focusing on safety, efficacy and economic implications of integrated vs. combined systems
  6. The correlation between serum angiopoietin-2 levels and acute kidney injury (AKI): a meta-analysis
  7. Opinion Papers
  8. Advancing value-based laboratory medicine
  9. Clostebol and sport: about controversies involving contamination vs. doping offence
  10. Direct-to-consumer testing as consumer initiated testing: compromises to the testing process and opportunities for quality improvement
  11. Perspectives
  12. An improved implementation of metrological traceability concepts is needed to benefit from standardization of laboratory results
  13. Genetics and Molecular Diagnostics
  14. Comparative analysis of BCR::ABL1 p210 mRNA transcript quantification and ratio to ABL1 control gene converted to the International Scale by chip digital PCR and droplet digital PCR for monitoring patients with chronic myeloid leukemia
  15. General Clinical Chemistry and Laboratory Medicine
  16. IVDCheckR – simplifying documentation for laboratory developed tests according to IVDR requirements by introducing a new digital tool
  17. Analytical performance specifications for trace elements in biological fluids derived from six countries federated external quality assessment schemes over 10 years
  18. The effects of drone transportation on routine laboratory, immunohematology, flow cytometry and molecular analyses
  19. Accurate non-ceruloplasmin bound copper: a new biomarker for the assessment and monitoring of Wilson disease patients using HPLC coupled to ICP-MS/MS
  20. Construction of platelet count-optical method reflex test rules using Micro-RBC#, Macro-RBC%, “PLT clumps?” flag, and “PLT abnormal histogram” flag on the Mindray BC-6800plus hematology analyzer in clinical practice
  21. Evaluation of serum NFL, T-tau, p-tau181, p-tau217, Aβ40 and Aβ42 for the diagnosis of neurodegenerative diseases
  22. An immuno-DOT diagnostic assay for autoimmune nodopathy
  23. Evaluation of biochemical algorithms to screen dysbetalipoproteinemia in ε2ε2 and rare APOE variants carriers
  24. Reference Values and Biological Variations
  25. Allowable total error in CD34 cell analysis by flow cytometry based on state of the art using Spanish EQAS data
  26. Clinical utility of personalized reference intervals for CEA in the early detection of oncologic disease
  27. Agreement of lymphocyte subsets detection permits reference intervals transference between flow cytometry systems: direct validation using established reference intervals
  28. Cancer Diagnostics
  29. Atypical cells in urine sediment: a novel biomarker for early detection of bladder cancer
  30. External quality assessment-based tumor marker harmonization simulation; insights in achievable harmonization for CA 15-3 and CEA
  31. Cardiovascular Diseases
  32. Evaluation of the analytical and clinical performance of a high-sensitivity troponin I point-of-care assay in the Mersey Acute Coronary Syndrome Rule Out Study (MACROS-2)
  33. Analytical verification of the Atellica VTLi point of care high sensitivity troponin I assay
  34. Infectious Diseases
  35. Synovial fluid D-lactate – a pathogen-specific biomarker for septic arthritis: a prospective multicenter study
  36. Targeted MRM-analysis of plasma proteins in frozen whole blood samples from patients with COVID-19: a retrospective study
  37. Letters to the Editor
  38. Generative artificial intelligence (AI) for reporting the performance of laboratory biomarkers: not ready for prime time
  39. Urgent need to adopt age-specific TSH upper reference limit for the elderly – a position statement of the Belgian thyroid club
  40. Sigma metric is more correlated with analytical imprecision than bias
  41. Utility and limitations of monitoring kidney transplants using capillary sampling
  42. Simple flow cytometry method using a myeloma panel that easily reveals clonal proliferation of mature B-cells
  43. Is sweat conductivity still a relevant screening test for cystic fibrosis? Participation over 10 years
  44. Hb D-Iran interference on HbA1c measurement
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