Abstract
Objectives
Fecal immunochemical tests (FIT) for hemoglobin are currently considered the screening investigation of choice for colorectal cancer and are worldwide recommended. Similarly, fecal calprotectin is a widely used test for monitoring intestinal inflammation. The pre-analytical issues regarding stool samples have hardly been dealt with and are difficult to solve. Currently, there are no reference analytes available which allow to correct test results for the variable water content of the stool sample. Studies on preanalytics of stool samples have generally focused on sample preparation and sample storage, but generally have paid little attention to the variability in sample hydration and sample composition.
Methods
Stercobilin is a stable heme metabolite which is abundant in stool. Stercobilin concentration can be simply assayed in stool extracts using colorimetry (determination of the I index). Serum indices (H, I and L) and bilirubin concentration of fecal extracts were determined on a Atellica Platform (Siemens).
Results
The inter-individual variation of stercobilin was found to be high. Assaying stercobilin allows to correct for stool sample dilution. The median value of the I-index was used as a reference for correcting the data. Correcting fecal blood results for sample dilution resulted in a significant increase in positive tests (from 9.3 to 11.7 %). For calprotectin, correction resulted in 3.1 % extra positive results and 7.7 % negative results.
Conclusions
Except in the case of obstructive jaundice, this correction can be applied. Correcting test results of common fecal analytes like FIT and calprotectin may result in a better tailored test interpretation.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: Delanghe JR: conceptualization, writing the paper, Van Elslande J: data acquisition, Godefroid M: data aquisition, Thieuw Barroso AL: practical experiments, De Buyzere ML: statistics, writing the paper, Maenhout T: supervision, writing the paper. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Raw data are available upon request.
References
1. Fraser, CG. Faecal hemoglobin; measurement, application and future potential. Best Pract Res Clin Gastroenterol 2023;66:101833. https://doi.org/10.1016/j.bpg.2023.101833.Search in Google Scholar PubMed
2. Deputy, M, Devanaboina, R, Al Bakir, I, Burns, E, Faiz, O. The role of faecal calprotectin in the diagnosis of inflammatory bowel disease. BMJ 2023;380:e068947. https://doi.org/10.1136/bmj-2021-068947.Search in Google Scholar PubMed
3. Grobbee, EJ, van der Vlugt, M, van Vuuren, AJ, Stroobants, AK, Mundt, MW, Spijker, WJ, et al.. A randomised comparison of two faecal immunochemical tests in population-based colorectal cancer screening. Gut 2017;66:1975–82. https://doi.org/10.1136/gutjnl-2016-311819.Search in Google Scholar PubMed
4. Delanghe, J, Speeckaert, M. Creatinine determination according to Jaffe – what does it stand for? Clin Kidn J 2011;4:83–6. https://doi.org/10.1093/ndtplus/sfq211.Search in Google Scholar PubMed PubMed Central
5. Santiago, A, Panda, S, Mengels, G, Martinez, X, Azpiroz, F, Dore, J, et al.. Processing faecal samples: a step forward for standards in microbial community analysis. BMC Microbiol 2014;14:112. https://doi.org/10.1186/1471-2180-14-112.Search in Google Scholar PubMed PubMed Central
6. Zhgun, ES, Ilina, EN. Fecal metabolites as non-invasive biomarkers of gut diseases. Acta Naturae 2020;12:4–14. https://doi.org/10.32607/actanaturae.10954.Search in Google Scholar PubMed PubMed Central
7. Deda, O, Gika, HG, Wilson, ID, Theodoridis, GA. An overview of fecal sample preparation for global metabolic profiling. J Pharm Biomed Anal 2015;113:137–50. https://doi.org/10.1016/j.jpba.2015.02.006.Search in Google Scholar PubMed
8. Matysik, S, Roy, CI, Liebisch, G, Claus, SP. Metabolomics of fecal samples: a practical consideration. Trends Food Sci Technol 2016;57:244–55. https://doi.org/10.1016/j.tifs.2016.05.011.Search in Google Scholar
9. Prakash, S, Mishra, AK. Stercobilin and urobilin in aqueous media: existence of specific H-Aggregates and nonspecific higher aggregates at different concentrations. J Phys Chem A 2020;124:10053–65. https://doi.org/10.1021/acs.jpca.0c08642.Search in Google Scholar PubMed
10. Lam, CW, Lai, CK, Chan, YW. Simultaneous fluorescence detection of fecal urobilins and porphyrins by reversed-phase high-performance thin-layer chromatography. Clin Chem 1998;44:345–6. https://doi.org/10.1093/clinchem/44.2.345.Search in Google Scholar
11. Nagata, M, Tanaka, T. Detection of fecal blood by colloidal gold agglutination using an anti-human hemoglobin monoclonal antibody. J Immunol Methods 1992;153:185–92. https://doi.org/10.1016/0022-1759(92)90321-j.Search in Google Scholar PubMed
12. Wieten, E, de Klerk, CM, van der Steen, A, Ramakers, CR, Kuipers, EJ, Hansen, BE, et al.. Equivalent accuracy of 2 quantitative fecal immunochemical tests in detecting advanced neoplasia in an organized colorectal cancer screening program. Gastroenterology 2018;155:1392–9. https://doi.org/10.1053/j.gastro.2018.07.021.Search in Google Scholar PubMed
13. Farrell, C-JL, A Carter, AC. Serum indices: managing assay interference. Annals Clin Biochem 2016;53:527–38. https://doi.org/10.1177/0004563216643557.Search in Google Scholar PubMed
14. Lippi, G, Cadamuro, J, Danese, E, Gelati, M, Montagnana, M, von Meyer, A, et al.. Internal quality assurance of HIL indices on Roche Cobas c702. PLoS One 2018;13:e200088. https://doi.org/10.1371/journal.pone.0200088.Search in Google Scholar PubMed PubMed Central
15. Jendrassik, L, Grof, P. Vereinfachte photometrische Methoden zur Bestimmung des Blutbilirubins. Biochem Z 1938;297:81–9.Search in Google Scholar
16. Bhattacharya, CG. A simple method of resolution of a distribution into Gaussian components. Biometrics 1967;23:115–35. https://doi.org/10.2307/2528285.Search in Google Scholar
17. Naus, AJ, Borst, A, Kuppens, PS. The use of patient data for the calculation of reference values for some haematological parameters. J Clin Chem Clin Biochem 1980;18:621–5. https://doi.org/10.1515/cclm.1980.18.10.621.Search in Google Scholar PubMed
18. Harris, EK, Boyd, JC. Sample sizes and subgroups. In: Harris, EK, Boyd, JC, editors. Statistical bases of reference values in laboratory medicine, Chapter 3. New York: Marcel Dekker; 1995:63–100 pp.10.1201/9781482273151Search in Google Scholar
19. Ricós, C, Alvarez, V, Cava, F, García-Lario, JV, Hernández, A, Jiménez, CV, et al.. Current databases on biological variation: pros, cons and progress. J Clin Lab Invest 1999;59:491–500. https://doi.org/10.1080/00365519950185229.Search in Google Scholar PubMed
20. Seng Lee, C, O’Gorman, P, Walsh, P, Qasim, A, McNamara, D, O’Morain, CA, et al.. Immunochemical faecal occult blood tests have superior stability and analytical performance characteristics over guaiac-based tests in a controlled in vitro study. J Clin Pathol 2011;64:524–8. https://doi.org/10.1136/jcp.2010.085399.Search in Google Scholar PubMed
21. De Girolamo, G, Goldoni, CA, Corradini, R, Giuliani, O, Falcini, F, Sassoli De’Bianchi, P, et al.. Ambient temperature and FIT performance in the Emilia-Romagna colorectal cancer screening programme. J Med Screen 2016;23:186–91. https://doi.org/10.1177/0969141316639618.Search in Google Scholar PubMed
22. Lloyd, JB, Weston, NT. A spectrometric study of the fluorescence detection of fecal urobilins. J Forensic Sci 1982;27:352–65. https://doi.org/10.1520/jfs11489j.Search in Google Scholar
23. Dumoulin, EN, Van Biervliet, S, Langlois, MR, Delanghe, JR. Proteolysis is a confounding factor in the interpretation of faecal calprotectin. Clin Chem Lab Med 2015;53:65–71. https://doi.org/10.1515/cclm-2014-0568.Search in Google Scholar PubMed
24. Hamer, HM, Mulder, AHL, de Boer, NK, Crouwel, F, van Rheenen, PF, Spekle, M, et al.. Factors on calprotectin concentration in stool: a multiassay comparison. J Applied Lab Med 2022;7:1401–11. https://doi.org/10.1093/jalm/jfac057.Search in Google Scholar PubMed
25. de Jonge, L, Toes-Zoutendijk, E, Koopmann, BDM, van Schrojenstein Lantman, M, Franken-van Vorsselen, B, Speijers, C, et al.. Modelling the impact of bias in fecal immunochemical testing on long-term outcomes of colorectal cancer screening impact of FIT bias on CRC screening outcomes. Clin Chim Acta 2024;561:119809. https://doi.org/10.1016/j.cca2024.119809.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorials
- Multi-cancer early detection: searching for evidence
- High sensitivity cardiac troponin assays, rapid myocardial infarction rule-out algorithms, and assay performance
- Reviews
- Consensus statement on extracellular vesicles in liquid biopsy for advancing laboratory medicine
- Copeptin as a diagnostic and prognostic biomarker in pediatric diseases
- Opinion Papers
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- Critical appraisal of the CLSI guideline EP09c “measurement procedure comparison and bias estimation using patient samples”
- Tumor markers determination in malignant pleural effusion: pearls and pitfalls
- Contribution of laboratory medicine and emerging technologies to cardiovascular risk reduction via exposome analysis: an opinion of the IFCC Division on Emerging Technologies
- Guidelines and Recommendations
- Recommendations for European laboratories based on the KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease
- Genetics and Molecular Diagnostics
- Expanded carrier screening for 224 monogenic disease genes in 1,499 Chinese couples: a single-center study
- General Clinical Chemistry and Laboratory Medicine
- How do experts determine where to intervene on test ordering? An interview study
- New concept for control material in glucose point-of-care-testing for external quality assessment schemes
- Vitamin B12 deficiency in newborns: impact on individual’s health status and healthcare costs
- Analytical evaluation of eight qualitative FIT for haemoglobin products, for professional use in the UK
- Colorimetric correcting for sample concentration in stool samples
- Reference Values and Biological Variations
- Assessment of canonical diurnal variations in plasma glucose using quantile regression modelling and Chronomaps
- Inconsistency in ferritin reference intervals across laboratories: a major concern for clinical decision making
- Establishing the TSH reference intervals for healthy adults aged over 70 years: the Australian ASPREE cohort study
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- The EuroFlow PIDOT external quality assurance scheme: enhancing laboratory performance evaluation in immunophenotyping of rare lymphoid immunodeficiencies
- Clinical value of smear review of flagged samples analyzed with the Sysmex XN hematology analyzer
- Cardiovascular Diseases
- Evidence for stability of cardiac troponin T concentrations measured with a high sensitivity TnT test in serum and lithium heparin plasma after six-year storage at −80 °C and multiple freeze-thaw cycles
- Letters to the Editor
- Impact of high-sensitivity cardiac troponin I assay imprecision on the safety of a single-sample rule-out approach for myocardial infarction
- Why is single sample rule out of non-ST elevation myocardial infarction using high-sensitivity cardiac troponin T safe when analytical imprecision is so high? A joint statistical and clinical demonstration
- Iron deficiency and iron deficiency anemia in transgender populations: what’s different?
- The information about the metrological traceability pedigree of the in vitro diagnostic calibrators should be improved: the case of plasma ethanol
- Time to refresh and integrate the JCTLM database entries for total bilirubin: the way forward
- Navigation between EQA and sustainability
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- Neutralizing antibodies against KP.2 and KP.3: why the current vaccine needs an update
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- Congress Abstracts
- 16ª Reunião Científica da Sociedade Portuguesa de Medicina Laboratorial - SPML
Articles in the same Issue
- Frontmatter
- Editorials
- Multi-cancer early detection: searching for evidence
- High sensitivity cardiac troponin assays, rapid myocardial infarction rule-out algorithms, and assay performance
- Reviews
- Consensus statement on extracellular vesicles in liquid biopsy for advancing laboratory medicine
- Copeptin as a diagnostic and prognostic biomarker in pediatric diseases
- Opinion Papers
- The Unholy Grail of cancer screening: or is it just about the Benjamins?
- Critical appraisal of the CLSI guideline EP09c “measurement procedure comparison and bias estimation using patient samples”
- Tumor markers determination in malignant pleural effusion: pearls and pitfalls
- Contribution of laboratory medicine and emerging technologies to cardiovascular risk reduction via exposome analysis: an opinion of the IFCC Division on Emerging Technologies
- Guidelines and Recommendations
- Recommendations for European laboratories based on the KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease
- Genetics and Molecular Diagnostics
- Expanded carrier screening for 224 monogenic disease genes in 1,499 Chinese couples: a single-center study
- General Clinical Chemistry and Laboratory Medicine
- How do experts determine where to intervene on test ordering? An interview study
- New concept for control material in glucose point-of-care-testing for external quality assessment schemes
- Vitamin B12 deficiency in newborns: impact on individual’s health status and healthcare costs
- Analytical evaluation of eight qualitative FIT for haemoglobin products, for professional use in the UK
- Colorimetric correcting for sample concentration in stool samples
- Reference Values and Biological Variations
- Assessment of canonical diurnal variations in plasma glucose using quantile regression modelling and Chronomaps
- Inconsistency in ferritin reference intervals across laboratories: a major concern for clinical decision making
- Establishing the TSH reference intervals for healthy adults aged over 70 years: the Australian ASPREE cohort study
- Hematology and Coagulation
- The EuroFlow PIDOT external quality assurance scheme: enhancing laboratory performance evaluation in immunophenotyping of rare lymphoid immunodeficiencies
- Clinical value of smear review of flagged samples analyzed with the Sysmex XN hematology analyzer
- Cardiovascular Diseases
- Evidence for stability of cardiac troponin T concentrations measured with a high sensitivity TnT test in serum and lithium heparin plasma after six-year storage at −80 °C and multiple freeze-thaw cycles
- Letters to the Editor
- Impact of high-sensitivity cardiac troponin I assay imprecision on the safety of a single-sample rule-out approach for myocardial infarction
- Why is single sample rule out of non-ST elevation myocardial infarction using high-sensitivity cardiac troponin T safe when analytical imprecision is so high? A joint statistical and clinical demonstration
- Iron deficiency and iron deficiency anemia in transgender populations: what’s different?
- The information about the metrological traceability pedigree of the in vitro diagnostic calibrators should be improved: the case of plasma ethanol
- Time to refresh and integrate the JCTLM database entries for total bilirubin: the way forward
- Navigation between EQA and sustainability
- C-terminal alpha-1-antitrypsin peptides as novel predictor of hospital mortality in critically ill COVID-19 patients
- Neutralizing antibodies against KP.2 and KP.3: why the current vaccine needs an update
- A simple gatekeeping intervention improves the appropriateness of blood urea nitrogen testing
- Congress Abstracts
- 16ª Reunião Científica da Sociedade Portuguesa de Medicina Laboratorial - SPML