The current issue of the Journal contains the European Urinalysis Guideline (EUG) 2023 written and edited by the Task and Finish Group Urinalysis (TFG-U), working under the Science Committee of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). It is an update to the previous European Urinalysis Guideline published by the European Confederation of Laboratory Medicine (ECLM) in 2000 [1, 2]. After more than 20 years, these guidelines needed to be updated at least with respect to new diagnostic markers and infectious agents, development of automated particle counting, current tools of specimen collection, quality control processes and analytical performance specifications.
Two crucial features are important in this updated guideline:
It remains a laboratory process-oriented guideline as opposed to the most medical guidelines describing clinical perspectives of diagnostic procedures,
It is an expression of fruitful co-operation between clinical chemistry and clinical microbiology laboratories since a shared single-voided urine specimen is discussed from professional knowledge of both clinical laboratory disciplines.
The comprehensive document is published in seven sections covering different areas and techniques of urinalysis, with two detailed Annexes. The text describes shared test requisition strategies, preanalytical procedures, and partially even shared interpretation of analytical results. Examinations include chemical measurements with strip tests and quantitative procedures, and urine bacterial cultures with identification of species and antimicrobial susceptibility tests. Urine particle analysis represents a shared expertise, organised in either clinical chemistry or clinical microbiology laboratories in different European countries, or occasionally still performed by the nephrologists themselves. Combination of these examinations into a shared diagnostic process allows optimisation of routine urinalysis and urine bacterial culture, while specific procedures and examinations are needed in specific cases and specimens.
The EFLM EUG 2023 contains numerous improvements compared to the previous ECLM guideline in 2000: The collected literature was structured based on the GRADE principles to provide levels of evidence (A–D) and strengths (1–2) to the given recommendations for laboratory tests [3, 4], as described in detail in the Introduction of the guideline. The EFLM EUG now provides a total of 65 graded recommendations in its seven sections. The assessment and grading by laboratory professionals is a new approach where reliability and consistency of laboratory examination-related evidence is assessed, for use in clinical diagnostic or prognostic outcomes.
The EUG 2023 discusses medical diagnostics of urinary tract infections (UTI) and kidney disease among different patient populations as its major topics. International clinical guidelines on these provided important backgrounds, as published, e.g., by the European Urology Association [5], and the Kidney Disease Improving Global Outcomes initiative [6]. To a lesser extent, other diseases were approached mostly at a screening level if the discussed measurements are used also for other purposes, such as detection of haematuria in urothelial cancers, or proteinuria or albuminuria in pregnancy.
It is obvious that a shared laboratory expertise is needed to recommend criteria for qualified testing strategies in urinalysis, adequate preanalytical processes, combination of different analytical results in points-of-care, general laboratories, and specialised laboratories, as well as relevant clinical interpretations. The established EFLM TFG-U is a multidisciplinary expert group that could benefit from special knowledge of four clinical chemists and four clinical microbiologists representing several European countries that were devoted to this task despite the COVID-19 pandemic in Europe.
The EFLM TFG-U group received remarkable number of comments and suggestions for improvement into the primary draft distributed for public consultation to the National Societies of the EFLM and other stakeholders in the spring 2023. The provided 245 comments and responses to them are electronically available as Supplemental material to the guideline text. The Introduction transparently describes the details of voting among the National Societies of the EFLM. Out of 41 voting EFLM Member Societies, 28 countries replied with positive votes and 1 with negative vote – the EUG 2023 recommendations can thus be considered officially as an approved EFLM guideline. Moreover, the Guidelines Subcommittee of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) provided a public consultation for their members resulting in endorsement of the key clinical microbiology-related Sections 1, 3 and 7 of the EUG by the ESCMID.
The result of this work is a landmark document for the community of laboratory medicine. We hope that this revised guideline finds its professional users and provides valuable help in establishing and maintaining quality of the common clinical laboratory tests in urine, in parallel with the ISO 15189 standard for medical laboratories [7].
References
1. ECLM, Fogazzi, G, Gant, V, Hallander, H, Hofmann, W, Guder, WG. European urinalysis guidelines. Scand J Clin Lab Invest 2000;60(231 Suppl):1–96. https://doi.org/10.1080/00365513.2000.12056993.Search in Google Scholar
2. Aspevall, O, Hallander, H, Gant, V, Kouri, T. European guidelines for urinalysis: a collaborative document produced by European clinical microbiologists and clinical chemists under ECLM in collaboration with ESCMID. Clin Microbiol Infect 2001;7:173–8. https://doi.org/10.1046/j.1198-743x.2001.00237.x.Search in Google Scholar PubMed
3. Guyatt, GH, Oxman, AD, Vist, GE, Kunz, R, Falck-Ytter, Y, Alonso-Coello, P, et al.. For the GRADE Working Group. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336:924–6. https://doi.org/10.1136/bmj.39489.470347.ad.Search in Google Scholar
4. Schünemann, HJ, Oxman, AD, Brozek, J, Glasziou, P, Jaeschke, R, Vist, GE, et al.. For the GRADE Working Group. GRADE: grading quality of evidence and strength of recommendations for diagnostic tests and strategies. BMJ 2008;336:1106–10. https://doi.org/10.1136/bmj.39500.677199.ae.Search in Google Scholar
5. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical Practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2013;3:1–150. https://doi.org/10.1038/kisup.2012.76.Search in Google Scholar
6. Bonkat, G, Bartoletti, R, Bruyère, F, Cai, T, Geerlings, SE, Köves, B, et al.. EAU guidelines: urological infections [The full text online]. Arnhem, The Netherlands: EAU Guidelines Office; 2023. https://uroweb.org/guideline/urological-infections [Accessed 1 Aug 2023].Search in Google Scholar
7. ISO 15189:2022. Medical laboratories – requirements for quality and competence. Geneva: International Organization for Standardization (ISO); 2022. https://www.iso.org/standards.html [Accessed 9 Nov 2023]. In Europe, a national source of EN ISO standards is recommended.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorials
- EFLM European Urinalysis Guideline
- Clinical Chemistry Laboratory Medicine in the post-acute COVID-19 era
- EFLM Guideline
- The EFLM European Urinalysis Guideline 2023
- Review
- Approaching sustainability in Laboratory Medicine
- Opinion Papers
- New reimbursement models to promote better patient outcomes and overall value in laboratory medicine and healthcare
- Screening for sickle cell disease: focus on newborn investigations
- Genetics and Molecular Diagnostics
- The role of Killer immunoglobulin-like receptors (KIRs) in the genetic susceptibility to non-celiac wheat sensitivity (NCWS)
- General Clinical Chemistry and Laboratory Medicine
- Understanding the limitations of your assay using EQA data with serum creatinine as an example
- Add-on testing: stability assessment of 63 biochemical analytes in centrifuged and capped samples stored at 16 °C
- Smartphone swabs as an emerging tool for toxicology testing: a proof-of-concept study in a nightclub
- Allergy: Evaluation of 16 years (2007–2022) results of the shared external quality assessment program in Belgium, Finland, Portugal and The Netherlands
- Cancer Diagnostics
- Monoclonal whole IgG impairs both fibrin and thrombin formation: hemostasis and surface plasmon resonance studies
- Cardiovascular Diseases
- Patients with antiphospholipid syndrome and a first venous or arterial thrombotic event: clinical characteristics, antibody profiles and estimate of the risk of recurrence
- Letters to the Editor
- Familial dysalbuminemic hyperthyroxinemia coexisting with a Grave’s disease: a Belgian case report
- Diagnostic challenge between a frequent polygenic hypocholesterolemia and an unusual Smith Lemli Opitz syndrome related to bi-allelic DHCR7 mutations
- First reported co-occurrence of Philadelphia chromosome-positive B-cell acute lymphoblastic leukemia with pseudo Chediak-Higashi anomaly and complex karyotype
- Facing the new IVD Regulation 2017/746: Contract Research Organizations (CROs), key partners of IVDs manufacturers for compliance
- Comprehensive analysis and clinical case studies on pseudoeosinophilia: insights and implications – unraveling the complexity: analytical approaches and clinical significance
- Misdiagnosis of type 2B von Willebrand disease as immune thrombocytopenia in a thrombocytopenic patient
- Biological matrices, reagents and turnaround-time: the full-circle of artificial intelligence in the pre-analytical Phase. Comment on Turcic A, et al., Machine learning to optimize cerebrospinal fluid dilution for analysis of MRZH reaction. CCLM 2024;62:436–41
Articles in the same Issue
- Frontmatter
- Editorials
- EFLM European Urinalysis Guideline
- Clinical Chemistry Laboratory Medicine in the post-acute COVID-19 era
- EFLM Guideline
- The EFLM European Urinalysis Guideline 2023
- Review
- Approaching sustainability in Laboratory Medicine
- Opinion Papers
- New reimbursement models to promote better patient outcomes and overall value in laboratory medicine and healthcare
- Screening for sickle cell disease: focus on newborn investigations
- Genetics and Molecular Diagnostics
- The role of Killer immunoglobulin-like receptors (KIRs) in the genetic susceptibility to non-celiac wheat sensitivity (NCWS)
- General Clinical Chemistry and Laboratory Medicine
- Understanding the limitations of your assay using EQA data with serum creatinine as an example
- Add-on testing: stability assessment of 63 biochemical analytes in centrifuged and capped samples stored at 16 °C
- Smartphone swabs as an emerging tool for toxicology testing: a proof-of-concept study in a nightclub
- Allergy: Evaluation of 16 years (2007–2022) results of the shared external quality assessment program in Belgium, Finland, Portugal and The Netherlands
- Cancer Diagnostics
- Monoclonal whole IgG impairs both fibrin and thrombin formation: hemostasis and surface plasmon resonance studies
- Cardiovascular Diseases
- Patients with antiphospholipid syndrome and a first venous or arterial thrombotic event: clinical characteristics, antibody profiles and estimate of the risk of recurrence
- Letters to the Editor
- Familial dysalbuminemic hyperthyroxinemia coexisting with a Grave’s disease: a Belgian case report
- Diagnostic challenge between a frequent polygenic hypocholesterolemia and an unusual Smith Lemli Opitz syndrome related to bi-allelic DHCR7 mutations
- First reported co-occurrence of Philadelphia chromosome-positive B-cell acute lymphoblastic leukemia with pseudo Chediak-Higashi anomaly and complex karyotype
- Facing the new IVD Regulation 2017/746: Contract Research Organizations (CROs), key partners of IVDs manufacturers for compliance
- Comprehensive analysis and clinical case studies on pseudoeosinophilia: insights and implications – unraveling the complexity: analytical approaches and clinical significance
- Misdiagnosis of type 2B von Willebrand disease as immune thrombocytopenia in a thrombocytopenic patient
- Biological matrices, reagents and turnaround-time: the full-circle of artificial intelligence in the pre-analytical Phase. Comment on Turcic A, et al., Machine learning to optimize cerebrospinal fluid dilution for analysis of MRZH reaction. CCLM 2024;62:436–41