19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Reference intervals for plasma concentrations of adrenal steroids measured by LC-MS/MS: Impact of gender, age, oral contraceptives, body mass index and blood pressure status

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Mass spectrometric-based measurements of the steroid metabolome have been introduced to diagnose disorders featuring abnormal steroidogenesis. Defined reference intervals are important for interpreting such data.

          Methods

          Liquid chromatography–tandem mass spectrometry was used to establish reference intervals for 16 steroids (pregnenolone, progesterone, 11-deoxycorticosterone, corticosterone, aldosterone, 18-oxocortisol, 18-hydroxycortisol, 17-hydroxyprogesterone, 21-deoxycortisol, 11-deoxycortisol, cortisol, cortisone, dehydroepiandrosterone, dehydroepiandrosterone-sulfate, androstenedione, testosterone) measured in plasma from 525 volunteers with (n = 227) and without (n = 298) hypertension, including 68 women on oral contraceptives.

          Results

          Women showed variable plasma concentrations of several steroids associated with menstrual cycle phase, menopause and oral contraceptive use. Progesterone was higher in females than males, but most other steroids were higher in males than females and almost all declined with advancing age. Using models that corrected for age and gender, body mass index showed weak negative relationships with corticosterone, 21-deoxycortisol, cortisol, cortisone, testosterone, progesterone, 17-hydroxyprogesterone and 11-deoxycorticosterone, but a positive relationship with 18-hydroxycortisol. Hypertensives and normotensives showed negligible differences in plasma concentrations of steroids.

          Conclusion

          Age and gender are the most important variables for plasma steroid reference intervals, which have been established here according to those variables for a panel of 16 steroids primarily useful for diagnosis and subtyping of patients with endocrine hypertension.

          Highlights

          • Reference intervals established for LC-MS/MS-measurements of 16 plasma steroids

          • Reference population consisted of 525 normotensive and hypertensive volunteers.

          • Age and gender were the most important variables to consider for reference intervals.

          • Weak negative associations of several steroids with body mass index

          • Negligible associations of plasma steroids with blood pressure status

          Related collections

          Most cited references41

          • Record: found
          • Abstract: found
          • Article: not found

          Age changes and sex differences in serum dehydroepiandrosterone sulfate concentrations throughout adulthood.

          In a cross-sectional study, serum dehydroepiandrosterone sulfate (DS) concentrations were measured in 981 men and 481 women, aged 11-89, yr. The resulting data were asymetrically distributed and were normalized by logarithmic transformation and analyzed by 5-yr age grouping (e.g. 15-19 yr, 20-24 yr, etc.). The DS concentration peaked at age 20-24 yr in men (logarithmic mean, 3470 ng/ml) and at age 15-19 yr in women (log mean, 2470 ng/ml). Mean values then declined steadily in both sexes (log mean at greater than 70 yr of age, 670 ng/ml in men and 450 ng/ml in women) and were significantly higher in men than women at ages from 20-69 yr. Analysis of 517 randomly selected sera (from women) which had been stored frozen for 10-15 yr gave results indistinguishable from values obtained from fresh specimens. In a supplementary study, a longitudinal analysis of weekly specimens from 4 normal men, aged 36-59 yr, revealed individual variability (mean coefficient of variation, 19%) and failed to demonstrate any monthly, seasonal, or annual rhythmicity. Based on the above analyses, a table of normal serum DS ranges for adult men and women is presented for use as a clinical reference.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              An appraisal of statistical procedures used in derivation of reference intervals.

              When conducting studies to derive reference intervals (RIs), various statistical procedures are commonly applied at each step, from the planning stages to final computation of RIs. Determination of the necessary sample size is an important consideration, and evaluation of at least 400 individuals in each subgroup has been recommended to establish reliable common RIs in multicenter studies. Multiple regression analysis allows identification of the most important factors contributing to variation in test results, while accounting for possible confounding relationships among these factors. Of the various approaches proposed for judging the necessity of partitioning reference values, nested analysis of variance (ANOVA) is the likely method of choice owing to its ability to handle multiple groups and being able to adjust for multiple factors. Box-Cox power transformation often has been used to transform data to a Gaussian distribution for parametric computation of RIs. However, this transformation occasionally fails. Therefore, the non-parametric method based on determination of the 2.5 and 97.5 percentiles following sorting of the data, has been recommended for general use. The performance of the Box-Cox transformation can be improved by introducing an additional parameter representing the origin of transformation. In simulations, the confidence intervals (CIs) of reference limits (RLs) calculated by the parametric method were narrower than those calculated by the non-parametric approach. However, the margin of difference was rather small owing to additional variability in parametrically-determined RLs introduced by estimation of parameters for the Box-Cox transformation. The parametric calculation method may have an advantage over the non-parametric method in allowing identification and exclusion of extreme values during RI computation.
                Bookmark

                Author and article information

                Contributors
                Journal
                Clin Chim Acta
                Clin. Chim. Acta
                Clinica Chimica Acta; International Journal of Clinical Chemistry
                Elsevier
                0009-8981
                1873-3492
                1 July 2017
                July 2017
                : 470
                : 115-124
                Affiliations
                [a ]Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany
                [b ]Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany
                [c ]Operations Content & Innovation, Elsevier B.V., Radarweg 29, 1043 NX Amsterdam, The Netherlands
                [d ]Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy
                [e ]Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany
                [f ]Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
                Author notes
                [* ]Corresponding author at: Institute for Clinical Chemistry and Laboratory Medicine, Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany.Institute for Clinical Chemistry and Laboratory MedicineTechnische Universität DresdenFetscherstraße 74Dresden01307Germany Graeme.Eisenhofer@ 123456uniklinikum-dresden.de
                Article
                S0009-8981(17)30166-3
                10.1016/j.cca.2017.05.002
                5504266
                28479316
                f300ea78-499f-4401-9df5-92b28af86623
                © 2017 The Authors. Published by Elsevier B.V.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 28 June 2016
                : 21 April 2017
                : 2 May 2017
                Categories
                Article

                Clinical chemistry
                liquid chromatography tandem mass spectrometry (lc-ms/ms),steroids,reference intervals,gender,age,oral contraceptives

                Comments

                Comment on this article