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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter / Tate, Jillian R.

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Volume 44, Issue 11 (Nov 2006)


Clinical chemistry reference values for 75-year-old apparently healthy persons

Klaus Roland Huber / Nazanin Mostafaie / Gerhard Stangl / Brigitte Worofka / Eva Kittl / Jörg Hofmann / Milos Hejtman / Rainer Michael / Silvia Weissgram / Thomas Leitha / Susanne Jungwirth / Peter Fischer / Karl-Heinz Tragl / Kurt Bauer
Published Online: 2006-11-07 | DOI: https://doi.org/10.1515/CCLM.2006.247


Background: Clinical chemistry reference values for elderly persons are sparse and mostly intermixed with those for younger subjects. To understand the links between metabolism and aging, it is paramount to differentiate between “normal” physiological processes in apparently healthy elderly subjects and metabolic changes due to long-lasting diseases. The Vienna Transdanube Aging (VITA) study, which began in 2000 and is continuing, will allow us to do just that, because more than 600 male and female volunteers aged exactly 75years (to exclude any influence of the “aging” factor in this cohort) are participating in this study.

Methods: Extensive clinical, neurological, biochemical, psychological, genetic, and radiological analyses, with a special emphasis on consumption of medication and abuse of drugs, were performed on each of the probands. The multitude of data and questionnaires obtained made possible an a posteriori approach to select individuals fulfilling criteria for a reference sample group of apparently healthy 75-year-old subjects for our study. Specific analytes were quantified on automated clinical analyzers, while manual methods were used for hormonal analytes. All clinical chemistry analytes were evaluated using in-depth statistical analyses with SPSS for Windows.

Results: In all, reference intervals for 45 analytes could be established. These include routine parameters for the assessment of organ functions, as well as hormone concentrations and hematological appraisals. Because all patients were reevaluated after exactly 30months in the course of this study, we had the opportunity to reassess their health status at the age of 77.5years. This was very useful for validation of the first round data set. Data of the second round evaluation corroborate the reference limits of the baseline analysis and further confirm our inclusion and exclusion criteria.

Conclusions: In summary, we have established a reliable set of reference data for hormonal, hematological, and clinical chemistry analytes for elderly subjects. These values will be very useful for our future attempts to correlate disease states and aging processes with metabolic factors.

Clin Chem Lab Med 2006;44:1355–60.

Keywords: clinical chemistry analytes; elderly; prognostic marker; reference interval


  • 1.

    van Heemst D, Beekman M, Mooijaart SP, Heijmans BT, Brandt BW, Zwaan BJ, et al. Reduced insulin/IGF-1 signalling and human longevity. Aging Cell 2005; 4:79–85.CrossrefGoogle Scholar

  • 2.

    Schalk BW, Visser M, Penninx BW, Baadenhuijsen HM, Bouter LM, Deeg DJ. Change in serum albumin and subsequent decline in functional status in older persons. Aging Clin Exp Res 2005; 17:297–305.CrossrefGoogle Scholar

  • 3.

    Roth GS, Mattison JA, Ottinger MA, Chachich ME, Lane MA, Ingram DK. Aging in rhesus monkeys: relevance to human health interventions. Science 2004; 305:1423–6.Google Scholar

  • 4.

    Fischer P, Jungwirth S, Krampla W, Weissgram S, Kirchmeyr W, Schreiber W, et al. Vienna Transdanube Aging “VITA”: study design, recruitment strategies and level of participation. J Neural Transm 2002; 62 (Suppl):105–16.Google Scholar

  • 5.

    Huber KR, Mostafaie N, Bauer K, Worofka B, Kittl E, Hofmann J, et al. Concentrations of N-terminal-pro-brain natriuretic peptide and troponin T in plasma of 75-years-old apparently healthy persons. Clin Chem Lab Med 2004; 42:1430–3.CrossrefGoogle Scholar

  • 6.

    Solberg HE. Approved recommendation (1986) on the theory of reference values. Part I: The concept of reference values. Clin Chim Acta 1987; 165:111–8, J Clin ChemClin Biochem 1987; 25:337–42, Ann Biol Clin 1987; 45:237–41, Labmedica 1987; 4:27–31.Google Scholar

  • 7.

    PetitClerc C, Solberg HE. Approved recommendation (1987) on the theory of reference values. Part 2: Selection of individuals for the production of reference values. J Clin Chem Clin Biochem 1987; 25:639–44, Clin Chim Acta 1987; 170:S3–12.Google Scholar

  • 8.

    Solberg HE, PetitClerc C. Approved recommendation (1988) on the theory of reference values. Part 3: Preparation of individuals and collection of specimens for the production of reference values. Clin Chim Acta 1988; 177:S1–12.Google Scholar

  • 9.

    Solberg HE, Stamm D. Approved recommendation on the theory of reference values. Part 4: Control of analytical variations in the production, transfer and application of reference values. Clin Chim Acta 1991; 202:S5–12, Eur J Clin Chem Clin Biochem 1991; 29:531–5.Google Scholar

  • 10.

    Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low density lipoprotein cholesterol in plasma without use of the ultracentrifuge. Clin Chem 1972; 18:499–502.Google Scholar

  • 11.

    Vernet M. Immunochemical assay of transferrin and iron saturation in serum. Clin Chem 1993; 39:2352–3.Google Scholar

  • 12.

    Solberg HE. Approved recommendation (1987) on the theory of reference values. Part 5: Statistical treatment of collected reference values. Determination of reference limits. Clin Chim Acta 1987; 170:S33–42, J Clin Chem Clin Biochem 1987; 25:645–56.Google Scholar

  • 13.

    Horn PS, Pesce AJ, editors. Reference intervals: a user's guide. Washington, DC: AACC Press, 2005.Google Scholar

  • 14.

    Lahti A, Peterson PH, Boyd JC, Fraser CG, Jorgensen N. Objective criteria for partitioning Gaussian-distributed reference values into subgroups. Clin Chem 2002; 48:338–52.Google Scholar

  • 15.

    Horn PS, Feng L, Li Y, Pesce AJ. Effect of outliers and nonhealthy individuals on reference interval estimation. Clin Chem 2001; 47:2137–45.Google Scholar

  • 16.

    Dixon WJ. Processing data for outliers. Biometrics 1953; 9:74–9.CrossrefGoogle Scholar

  • 17.

    Knight JA. The biochemistry of aging. Adv Clin Chem 2000; 35:1–62.CrossrefGoogle Scholar

  • 18.

    Kappeler L, Epelbaum J. Biological aspects of longevity and ageing. Rev Epidemiol Sante Publique 2005; 53:235–41.CrossrefGoogle Scholar

  • 19.

    Gavrilov LA, Gavrilova NS. Evolutionary theories of aging and longevity. Sci World J 2002; 2:339–56.CrossrefGoogle Scholar

  • 20.

    Zwaan BJ. The evolutionary genetics of aging and longevity. Heredity 1999; 82:589–97.CrossrefGoogle Scholar

  • 21.

    Gavrilov LA, Gavrilova NS. The quest for a general theory of aging and longevity. http://sageke.sciencemag.org/cgi/content/full/sageke;2003/28/re5.Google Scholar

  • 22.

    Ekerdt DJ, editor. The encyclopedia of aging. New York: Macmillan, 2002.Google Scholar

  • 23.

    Sasse EA, Reference intervals and clinical decision limits. In: Kaplan LA, Pesce AJ, editors. Clinical chemistry. St. Louis, MO: Mosby, 1996:365–81.Google Scholar

  • 24.

    Per Hyltoft P, Henny J, editors. Special issue on reference values and reference intervals. Clin Chem Lab Med 2004; 42(7):685–876.Google Scholar

  • 25.

    Tietz NW, Shuey DF, Wekstein DR. Laboratory values in fit aging individuals – sexagenarians through centenarians. In: Faulkner WR, Meites S, editors. Geriatric clinical chemistry. Washington, DC: AACC Press, 1994:145–86.Google Scholar

  • 26.

    Thomas L, editor. Labor und Diagnose. Frankfurt/Main: TH Books, 2005.Google Scholar

  • 27.

    Gräsbeck R. The evolution of the reference value concept. Clin Chem Lab Med 2004; 42:692–7.CrossrefGoogle Scholar

About the article

Corresponding author: Klaus Roland Huber, PhD, Zentrallabor, Donauspital, Langobardenstr. 122, 1220 Vienna, Austria Phone: +43-1-28802-5010, Fax: +43-1-28802-5080,

Received: 2006-06-21

Accepted: 2006-08-25

Published Online: 2006-11-07

Published in Print: 2006-11-01

Citation Information: Clinical Chemistry and Laboratory Medicine (CCLM), ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/CCLM.2006.247.

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