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Biological variation of metabolic cardiovascular risk factors in haemodialysis patients and healthy individuals
Open accessAbstract
Background: Maintenance haemodialysis (HD) is associated with a very high cardiovascular risk and the assessment of metabolic cardiovascular risk factors is essential for an adequate diagnosis and management. The aim of the study has been to estimate the biological variation (BV) of serum lipids, calcium, inorganic phosphorus, 25-OH vitamin D, C-reactive protein and plasma intact parathyroid hormone (PTHi) and total homocysteine, to evaluate whether HD alter the homeostatic set-point of these magnitudes. Methods: Blood samples were collected from 18 HD patients in steady-state conditions, one per month during 6 months, and from 11 healthy volunteers at weekly intervals over 5 weeks. BV data were derived using CV-ANOVA. Results: Within-subject coefficients of variation (CVI) and derived reference change values (RCV) estimated in HD patients were significantly higher than in healthy individuals for calcium (CVI =3.8% vs. 2.3%) (RCV =12.6% vs. 7.6%), inorganic phosphorus (13.1% vs. 8.0%) (RCV =38.7% vs. 30.1%) and PTHi (20.3% vs. 11.3%) (RCV =57.5% vs. 34.0%). Conclusions: For calcium, inorganic phosphorus and PTHi, RCV derived from advanced disease-specific BV data is recommended for the management of bone-mineral disturbances in HD patients. For the rest of cardiovascular risk factors, the use of RCV derived from healthy individuals could be appropriate.
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“Corte Z and Venta R (40) assessed the BV estimates of PTH in haemodialysis patients and healthy individuals using the same analytical method employed in our study.”
From Biological variation in serum thyroid, iron metabolism, and plasma bone metabolism biomarkers in patients with type 2 diabetes mellitus (2025) · cites this paper as [40]
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“Our CVI estimates for PTH were higher than those reported for healthy subjects in their study, as indicated by the mostly non-overlapping 95% CI of CVI.”
From Biological variation in serum thyroid, iron metabolism, and plasma bone metabolism biomarkers in patients with type 2 diabetes mellitus (2025) · cites this paper as [40]
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Aarsand, A. K., Røraas, T., Fernandez-Calle, P., Ricos, C., Díaz-Garzón, J., Jonker, N., Perich, C., González-Lao, E., Carobene, A., Minchinela, J., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.281808 · Cited by 233
Self-citationRøraas, T., Petersen, P. H., & Sandberg, S. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2012.187781 · Cited by 134
Aarsand, A. K., Díaz-Garzón, J., Fernandez-Calle, P., Guerra, E., Locatelli, M., Bartlett, W. A., Sandberg, S., Røraas, T., Ceriotti, F., Sølvik, U. Ø., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.288415 · Cited by 105 · cited 2×
“In 2018, EFLM European Biological Variation Study (EuBIVAS) published the BV data for lipids, electrolytes and other biochemical magnitudes in a cohort of 91 healthy subjects (25).”
BackgroundDefining analytical performance specifications 15 years after the Stockholm conference
Panteghini, M., & Sandberg, S. (2015) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2015-0303 · Cited by 79
The use of reference change values in clinical laboratories
Bugdayci, G., Oguzman, H., Arattan, H., & Sasmaz, G. (2015) · Clinical Laboratory · doi:10.7754/clin.lab.2014.140906 · Cited by 21
Research works printed but not linked: 23
- [1]Rangaswami J Bhalla V Blair JEA American Heart Association Council on the Kidney in Cardiovascular Disease and Council on Clinical Cardiology. Cardiorenal Syndrome: Classification, Pathophysiology, Diagnosis, and Treatment Strategies: A Scientific Statement From the American Heart Association. Circulation 2019; 139: e840- 78. 10.1161/CIR.0000000000000664 30852913 · DOI
- [3]Piepoli MF Hoes AW Agewall S 2016 European Guidelines on Cardiovascular Disease Prevention in Clinical Practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice. Eur Heart J 2016; 37: 2315- 81. 10.1093/eurheartj/ehw106 27222591 PMC4986030 · DOI · Paper page
- [4]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.
- [5]Poli FE Gulsin GS McCann GP The assessment of coronary artery disease in patients with end-stage renal disease. Clin Kidney J 2019; 12: 721- 34. 10.1093/ckj/sfz088 31583096 PMC6768295 · DOI
- [6]Fonseca FA Izar MC. High-Sensitivity C-Reactive Protein and Cardiovascular Disease Across Countries and Ethnicities. Clinics (Sao Paulo) 2016; 71: 235- 42. 10.6061/clinics/2016(04)11 27166776 PMC4825196 · DOI
- [7]Martella BM Veiga GRL Alves BCA The importance of homocysteine levels in the prognosis of patients with chronic renal disease and in hemodialysis patients. J Bras Patol Med Lab 2018; 54: 170- 6. 10.5935/1676-2444.20180030 · DOI
- [8]Vervloet MG Massy ZA Brandenburg VM Bone: a new endocrine organ at the heart of chronic kidney disease and mineral and bone disorders. Lancet Diabetes Endocrinol 2014; 2: 427- 36. 10.1016/S2213-8587(14)70059-2 24795256 · DOI
- [9]Fraser CG Harris EK. Generation and application of data on biological variation in clinical chemistry. Crit Rev Clin Lab Sci 1989; 27: 409- 37. 10.3109/10408368909106595 2679660 · DOI
- [12]Ricós C Iglesias N García-Lario JV Within subject biological variation in disease: collated data and clinical consequences. Ann Clin Biochem 2007; 44: 343- 52. 10.1258/000456307780945633 17594781 · DOI
- [13]Corte Z García C Venta R. Biological variation of cardiac troponin T in patients with end-stage renal disease and in healthy individuals. Ann Clin Biochem 2015; 52: 53- 60. 10.1177/0004563214545116 25005457 · DOI
- [14]Pfeiffer CM Huff DL Gunter EW. Rapid and accurate HPLC assay for plasma total homocysteine and cysteine in a clinical laboratory setting. Clin Chem 1999; 45: 290- 2. 10.1093/clinchem/45.2.290 9931056 · DOI
- [15]Røraas T Stove B Hyltoft Petersen P Biological variation: the effect of different distributions on estimated within-person variation and reference change values. Clin Chem 2016; 62: 725- 36. 10.1373/clinchem.2015.252296 27001492 · DOI
- [16]Miller EG. Asymptotic test statistics for coefficient of variation. Comm Stat Theory & Methods 1991; 20: 3351- 63. 10.1080/03610929108830707 · DOI
- [18]Sandoval Y Herzog CA Love SA Prognostic Value of Serial Changes in High-Sensitivity Cardiac Troponin I and T over 3 Months Using Reference Change Values in Hemodialysis Patients. Clin Chem 2016; 62: 631- 8. 10.1373/clinchem.2015.251835 26847217 · DOI
- [20]Cavalier E Delanaye P Moranne O. Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making. Am J Kidney Dis 2013; 61: 847- 8. 10.1053/j.ajkd.2012.12.013 23357107 · DOI
- [21]Ercan M Deniz E Avci E Determining biological variation of serum parathyroid hormone in healthy adults. Biochem Med (Zagreb) 2019; 29: 030702. 10.11613/BM.2019.030702 31379460 PMC6610671 · DOI
- [22]Lutsey PL Parrinello CM Misialek JR Short-term variability of vitamin D-related biomarkers. Clin Chem 2016; 62: 1647- 53. 10.1373/clinchem.2016.261461 27694392 PMC5131784 · DOI
- [23]Ugwuzumba PC Nwankpa P Emengaha FC Influence of Freeze-Thawing and Storage on Human Serum Lipid Analytes. Int J Curr Microbiol App Sci 2018; 7: 3287- 94. 10.20546/ijcmas.2018.710.381 · DOI
- [24]Sabatino A Regolisti G Karupaiah T Protein-energy wasting and nutritional supplementation in patients with end-stage renal disease on hemodialysis. Clin Nutr 2017; 36: 663- 71. 10.1016/j.clnu.2016.06.007 27371993 · DOI
- [26]Yeh EL Huang YC Tsai SF Relationship between plasma levels of homocysteine and the related B vitamins in patients with hemodialysis adequacy or inadequacy. Nutrition 2018; 53: 103- 8. 10.1016/j.nut.2018.02.004 29674265 · DOI
- [28]Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Work Group. KDIGO 2017 clinical practice guideline for the diagnosis, evaluation, prevention, and treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Kidney Kidney Int Suppl 2017; 7: 1- 59. 10.1016/j.kisu.2017.04.001 PMC6340919 30675420 · DOI
- [29]Fujii H. Association between parathyroid hormone and cardiovascular disease. Ther Apher Dial 2018; 22: 236- 41. 10.1111/1744-9987.12679 29707916 · DOI
- [30]Gardham C Stevens PE Delaney MP Variability of parathyroid hormone and other markers of bone mineral metabolism in patients receiving hemodialysis. Clin J Am Soc Nephrol 2010; 5: 1261- 7. 10.2215/CJN.09471209 20498246 PMC2893062 · DOI
Cited by
Sorted by citations
Wang, X., Zhang, M., Liu, Z., Li, C., Li, Y., Huang, H., He, H., & Yu, X. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1506664
Metadata
- Authors
- Corte, Z., & Venta, R.
- Affiliations
- Hospital Universitario San Agustín (ES)
- Universidad de Oviedo (ES)
- Corresponding author
- Venta, Rafael
- ORCID
- Venta, Rafael
- Venue
- Annals of Translational Medicine
- Publisher
- AME Publishing Company
- Published
- 2020-03
- Volume
- 8
- Issue
- 6
- Pages
- 281-281
- ISSN
- 2305-5839 (ISSN-L)
- 2305-5847
- PMC
- PMC7186598
- OpenAlex
- W3011176147
- Cited by
- 10
- References
- 5
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Annals of Translational Medicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Medicine › Nephrology › Parathyroid Disorders and Treatments
- Keywords
- biological variation, maintenance hemodialysis, cardiovascular risk factors, reference change value, serum calcium, inorganic phosphorus, intact parathyroid hormone, vitamin D, C-reactive protein, homocysteine, serum lipids, homeostatic set point
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