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Blood self-sampling: friend or foe?

  • Mario Plebani ORCID logo EMAIL logo
Veröffentlicht/Copyright: 10. Oktober 2024
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In recent years, and particularly in the aftermath of the COVID-19 pandemic, there has been increasing interest in the need for decentralized healthcare solutions and patient empowerment. Decentralized testing options such as point-of-care (POCT), near-patient (NPT) and home testing are increasingly being used to integrate and/or replace traditional centralized laboratory testing. Blood collection, a fundamental step in ensuring the quality of the entire testing cycle, is involved in this process, which aims to improve the accessibility to laboratory testing, giving patients more control over their own care while reducing the potential disruption to their daily routines. Self-collected samples have become increasingly attractive, particularly as capillary collection has been described as “convenient, minimally invasive and cost-effective”, while traditional venipuncture has been defined as “an invasive procedure that can cause pain, distress and anxiety to patients” [1], despite evidence that millions of patients undergo this procedure every day. In several studies, patient satisfaction with the blood collection process has been assessed using questionnaires. Overall, patients were satisfied with the alternative collection techniques, which were found to be easy to perform and preferred to traditional venipuncture in a medical center [2], with fear of needles being a major challenge [3]. Despite the described advantages over conventional sampling, widespread adoption of self-sampling in clinical practice has been slow. While several factors may contribute to this delay, the type of available devices and the quality of the samples collected have been identified as the most critical issues. In addition, implementation of self-sampling requires well-defined user instructions for proper sample collection and compliance, as well as strategies for monitoring patient discipline to ensure sample quality and reduce data variability [4]. Safety lancets have been and continue to be widely used for capillary blood sampling, particularly on the fingertips of the middle and ring fingers and the heel. However, in recent years, new devices have become available to use the upper arm for capillary blood collection. In this issue of the Journal, an interesting paper by Dennis C.W. Poland and Christa M. Cobbaert deals with innovation in blood self-sampling devices and the integration of alternative sampling options in the total testing process [5]. In their paper, the authors review the various decentralized capillary blood self-testing options for both liquid collection and dried capillary blood spots, focusing on the potential advantages and limitations. In particular, the authors highlight an essential issue that is “before considering blood self-sampling, the differences between venous and capillary blood should be well identified”. In addition, they emphasize that “more data should be collected on the influence of time and temperature between blood collection and analysis” [5]. In fact, while capillary whole blood is used in neonatal screening, for glucose and glycated hemoglobin (HbA1c) monitoring [6], in studies on infectious diseases, and in pediatric patients, limited evidence has been collected to demonstrate the comparability of analytical results between venous and capillary blood for many measurands, eventual differences in reference intervals (RI) and in pre-analytical variables, including sample stability [7]. In the same issue of the Journal, a paper by Perrotta and Coll. shows that capillary blood parameters are gestational age, birthweight, delivery mode and gender dependent in healthy preterm and term infants [8], thus stressing the need for further studies on capillary blood samples. Therefore, it is essential to establish a beneficial equilibrium between the potential benefits of capillary blood collection and the guarantee of the accuracy and reliability of analytical results and laboratory information. In some recently published papers, the social impact of implementing at-home self-sampling for chronic care patients [9], and the need to reduce blood-over testing and related iatrogenic anemia in hospitalized patients [10] have been emphasized, recommending the adoption of microsampling technologies. The reduction of dead volumes and number of tubes in routine laboratory process are additional and important procedures to reduce the amount of blood waste per sample: this is, for sure, a patient safety issue. Self-sampling, however, is not only related to blood collection as many other biological samples such as urine, oral specimens, vaginal/rectal and throat/pharyngeal swabs should be used for human papillomavirus (HPV) [11, 12], sexually transmitted infection (STI) [13] and monkeypox virus (MPXV) testing, respectively [14]. Saliva is another matrix which offers a valuable opportunity of self-sampling for the diagnosis of several diseases [15], including SARS-CoV-2 [16], while stool samples are suitable for self-sampling in patients affected by inflammatory bowel diseases [17].

Self-collected samples should be used for self-testing, as Direct Access Testing (DAT) is an emerging pathway of laboratory testing [18], or transported to a centralized laboratory to ensure a valuable intra-analytical phase, as demonstrated by Poland and Cobbaert in their work [5]. Therefore, the involvement of laboratory professionals to better understand the benefits and barriers to ensuring accurate, safe and effective self-sampling options is essential and of added value to overcome any risk of inappropriateness, increased costs and patient harm.


Corresponding author: Mario Plebani, Honorary Professor of Clinical Chemistry and Clinical Molecular Biology, University of Padova-Italy, Padua, Italy, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

References

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Published Online: 2024-10-10
Published in Print: 2025-01-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Blood self-sampling: friend or foe?
  4. Reviews
  5. Blood self-sampling devices: innovation, interpretation and implementation in total lab automation
  6. Salivary fatty acids in humans: a comprehensive literature review
  7. Opinion Papers
  8. EFLM Task Force Preparation of Labs for Emergencies (TF-PLE) recommendations for reinforcing cyber-security and managing cyber-attacks in medical laboratories
  9. Point-of-care testing: state-of-the art and perspectives
  10. A standard to report biological variation data studies – based on an expert opinion
  11. Ethical Checklists for Clinical Research Projects and Laboratory Medicine: two tools to evaluate compliance with bioethical principles in different settings
  12. Guidelines and Recommendations
  13. Assessment of cardiovascular risk and physical activity: the role of cardiac-specific biomarkers in the general population and athletes
  14. Genetics and Molecular Diagnostics
  15. Clinical utility of regions of homozygosity (ROH) identified in exome sequencing: when to pursue confirmatory uniparental disomy testing for imprinting disorders?
  16. An ultrasensitive DNA-enhanced amplification method for detecting cfDNA drug-resistant mutations in non-small cell lung cancer with selective FEN-assisted degradation of dominant somatic fragments
  17. General Clinical Chemistry and Laboratory Medicine
  18. The biological variation of insulin resistance markers: data from the European Biological Variation Study (EuBIVAS)
  19. The surveys on quality indicators for the total testing process in clinical laboratories of Fujian Province in China from 2018 to 2023
  20. Preservation of urine specimens for metabolic evaluation of recurrent urinary stone formers
  21. Performance evaluation of a smartphone-based home test for fecal calprotection
  22. Implications of monoclonal gammopathy and isoelectric focusing pattern 5 on the free light chain kappa diagnostics in cerebrospinal fluid
  23. Development and validation of a novel 7α-hydroxy-4-cholesten-3-one (C4) liquid chromatography tandem mass spectrometry method and its utility to assess pre-analytical stability
  24. Establishment of ELISA-comparable moderate and high thresholds for anticardiolipin and anti-β2 glycoprotein I chemiluminescent immunoassays according to the 2023 ACR/EULAR APS classification criteria and evaluation of their diagnostic performance
  25. Reference Values and Biological Variations
  26. Capillary blood parameters are gestational age, birthweight, delivery mode and gender dependent in healthy preterm and term infants
  27. Reference intervals and percentiles for soluble transferrin receptor and sTfR/log ferritin index in healthy children and adolescents
  28. Cancer Diagnostics
  29. Detection of serum CC16 by a rapid and ultrasensitive magnetic chemiluminescence immunoassay for lung disease diagnosis
  30. Cardiovascular Diseases
  31. The role of functional vitamin D deficiency and low vitamin D reservoirs in relation to cardiovascular health and mortality
  32. Annual Reviewer Acknowledgment
  33. Reviewer Acknowledgment
  34. Letters to the Editor
  35. EFLM Task Force Preparation of Labs for Emergencies (TF-PLE) survey on cybersecurity
  36. Comment on Lippi et al.: EFLM Task Force Preparation of Labs for Emergencies (TF-PLE) recommendations for reinforcing cyber-security and managing cyber-attacks in medical laboratories
  37. Six Sigma in laboratory medicine: the unfinished symphony
  38. Navigating complexities in vitamin D and cardiovascular health: a call for comprehensive analysis
  39. Simplified preanalytical laboratory procedures for therapeutic drug monitoring (TDM) in patients treated with high-dose methotrexate (HD-MTX) and glucarpidase
  40. New generation of Abbott enzyme assays: imprecision, methods comparison, and impact on patients’ results
  41. Correction of negative-interference from calcium dobesilate in the Roche sarcosine oxidase creatinine assay using CuO
  42. Two cases of MTHFR C677T polymorphism typing failure by Taqman system due to MTHFR 679 GA heterozygous mutation
  43. A falsely elevated blood alcohol concentration (BAC) related to an intravenous administration of phenytoin sodium
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