LETTER TO THE EDITOR

Br. J. Biomed. Sci., 03 August 2026

Volume 83 - 2026 | https://doi.org/10.3389/bjbs.2026.16480

Longitudinal agreement of repeated critical haemoglobin measurements as evidence of sustained analytical quality

  • 1. Clinical Pathology Department, Local Health Unit of Matosinhos, Matosinhos, Portugal

  • 2. MEDCIDS, Faculty of Medicine, University of Porto, Porto, Portugal

  • 3. INESC TEC, Porto, Portugal

  • 4. EPIUnit – Public Health Institute, University of Porto, Porto, Portugal

  • 5. Laboratory for Integrative and Translational Investigation in Population Health (ITR), Porto, Portugal

Dear Editors,

Haemoglobin (Hb) values below 70 g/L are widely recognised as critical results and have traditionally prompted repeat analysis prior to reporting. This practice emerged as a quality assurance safeguard intended to detect potential analytical random or systematic errors before result validation, a practice whose clinical utility is increasingly being questioned [, ], but still exists in many laboratories.

In contemporary laboratory practice, however, highly automated haematology platforms operate with real-time flagging systems and advanced error detection algorithms. Furthermore, raw analytical data archived in analyser backups include repeated full/complete blood count (FBC/CBC) measurements performed for technical or clinical reasons, such as reflex testing, flag resolution, or platelet confirmation using alternative methods. These naturally occurring duplicate measurements generate a real-world dataset that can be analysed to monitor analytical performance and quantify imprecision under routine operating conditions [].

We conducted a retrospective longitudinal evaluation at a secondary public hospital, at the laboratory that serves a heterogeneous patient population, receiving samples from diverse clinical settings, including the emergency department, inpatient wards, day hospital services, and primary care centres. Raw analytical blocks of data were extracted from the back-up databases of three interconnected Sysmex XN-9100 modules between 2021 and 2025. Data management, exploratory data analysis and automated sample pairing were performed using R (version 4.4.3).

A total of 499,965 haemograms were reviewed and, among these, 3,154 haemograms with Hb <70 g/L were identified. Of these, 94.8% (n = 2,990) underwent repeat analysis according to the laboratory’s standard operating procedure (SOP), while 5.2% (n = 164) were validated by a clinical pathologist without repetition based on clinical history and urgency, following a defined override process, and were therefore excluded from the analytical performance assessment. For each episode, all repetitions (2–8 per sample) were analysed to determine the maximum absolute difference (ΔHb) between the initial and repeated measurement, as we aimed to characterise the maximum discrepancy that could occur under routine conditions, providing a conservative assessment of clinical risk. Reanalysis occurred either on the same analytical module (intra-analyser) or on a different module (inter-analyser) [].

Retesting episodes were defined as immediate reflex re-runs performed on the same EDTA tube on the Sysmex Automation Line that is configured to automatically perform such re-runs for all samples with Hb<70 g/L. Additionally, 43 samples were analysed primarily in manual mode, and 102 samples had at least one manual repeat; these were not excluded, as our aim was to evaluate the SOP implemented in our routine clinical practice.

A total of 2,990 unique samples were included in the final analysis (1,991 for intra-analyser and 999 for inter-analyser), representing 6,819 total automated measurements. The global results demonstrated high analytical stability, where nearly half of the repeated measurements (49.0%) were identical (ΔHb = 0 g/L). Furthermore, 92.1% of retesting episodes showed a variation of ≤1 g/L, and 98.6% remained within 2 g/L. The overall data analysis showed a satisfying performance of 97.9% of intra-analyser and 80.4% of inter-analyser variation of ≤1 g/L (Figure 1).

FIGURE 1

Our institution defines Hb <70 g/L as a critical value, triggering further evaluation and notification, but not mandatory transfusion. Transfusion decisions are individualised and approved by Transfusion Medicine physicians in accordance with international guidelines []. The 4 g/L threshold is defined as clinically relevant by the Institute for Quality Management in Healthcare (IQMH) [] and accepted as such in our institution. This value does not impact transfusion decisions or patient management, as signs and symptoms of inadequate tissue oxygenation and hemodynamic status do.

The cut-off of 4 g/L was exceeded in 9 samples, all exhibiting pre-analytical issues (clots, micro-clots, fibrin strands, or mislabelling) that required recollection and were therefore excluded from further statistical analysis.

Baseline analytical performance, mean bias, limits of agreement (LoA), and coefficient of variation (CV%) were calculated from duplicate pairs, as summarised in Supplementary Table S1. For intra-analyser comparisons, mean bias was −0.09 g/L (95% CI: −0.12 to −0.06; LoA: −1.41 to 1.24 g/L; CV: 0.67%), well within the manufacturer’s specified CV of ≤2%. For inter-analyser comparisons, mean bias was −0.19 g/L (95% CI: −0.26 to −0.11; LoA: −2.55 to 2.17 g/L; CV: 1.53%), also within the manufacturer’s inter-analyser specification of ≤4%. The Bland-Altman analysis (Supplementary Figure S1) revealed a small but consistent negative bias for both intra-analyser (−0.09 g/L) and inter-analyser (−0.19 g/L) comparisons, indicating that repeat measurements tend to be marginally lower than initial readings. Both values fall well within the IQMH-defined acceptable range. The wider limits of agreement observed for inter-analyser comparisons (−2.55 to 2.17 g/L vs. −1.41 to 1.24 g/L) reflect the additional variability introduced by between-module differences, which is expected in a multi-analyser platform and consistent with the manufacturer’s inter-analyser specifications. These findings confirm exceptional long-term analytical stability across 5 years of routine 24/7 operation, involving multiple operators and heterogeneous patient samples, and turn unnecessary an automatic non-discriminatory repeat testing of all critical Hb results.

Our analysis did not aim to replace formal precision studies as defined by the Clinical and Laboratory Standards Institute. Instead, it offers a complementary perspective by quantifying real-world performance under routine operational pressures. Whereas controlled experiments define theoretical repeatability and reproducibility limits, longitudinal operational data reflect instrument behaviour among pre-analytical heterogeneity and variable clinical demand.

The primary objective of this study was to evaluate the utility of our SOP mandating reflex repetition of all blood counts with Hb <70 g/L. In doing so, we identified a secondary but equally relevant observation: that systematic review of analyser back-up raw data can serve as a zero-cost internal quality control strategy [], as these archives contain results from repeat testing triggered by diverse clinical and analytical reasons. Conceptually, such retesting mirrors the classical random-duplicate approach described by Carstairs (1977) [], in which duplicate measurements were used to evaluate analytical reliability and uncover hidden imprecision or bias [, ].

To balance increasing demand with workforce constraints, laboratories must refine workflows through evidence-based strategies. The widespread adoption of data-friendly technologies enables periodic analysis of archived raw back-up, transforming routinely duplicated measurements into continuous performance monitoring tools. In this context, real-world data analytics provide a powerful and sustainable framework to enhance quality assurance and operational resilience in contemporary laboratory practice.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

Ethical approval was not required for the studies involving humans because the study used retrospective laboratory data obtained during routine clinical care and no intervention on patients occurred. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements because no patient contact occured, no identifiable personal data were used and all data were fully anonymised.

Author contributions

VS conducted the data analysis and drafted the manuscript. CM played a key role in establishing the reflex-testing protocols that underpinned the dataset analysed in this work and critically revised the manuscript. YE conceived and designed the study and contributed to interpretation and writing. The authors applied the FLAE approach for the sequence of authors. All authors contributed to the article and approved the submitted version.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Acknowledgments

We thank Tiago Ramalho for performing the data backups and for providing feedback on the initial abstract.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontierspartnerships.org/articles/10.3389/bjbs.2026.16480/full#supplementary-material

References

Summary

Keywords

critical haemoglobin, internal quality control, longitudinal control, raw analytical data, repeated measurements

Citation

Simões V, Magalhães C and Eremina YO (2026) Longitudinal agreement of repeated critical haemoglobin measurements as evidence of sustained analytical quality. Br. J. Biomed. Sci. 83:16480. doi: 10.3389/bjbs.2026.16480

Received

27 February 2026

Revised

02 May 2026

Accepted

16 July 2026

Published

03 August 2026

Volume

83 - 2026

Updates

Copyright

*Correspondence: Yuliana O. Eremina,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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