Literature DB >> 28455749

Comparison of two automated assays of BTM (CTX and P1NP) and reference intervals in a Danish population.

N R Jørgensen1,2, L T Møllehave3, Y B L Hansen4, N Quardon4, L Lylloff5, A Linneberg3,6,7.   

Abstract

Bone turnover markers are used for monitoring osteoporosis treatment. Therefore, we evaluated the agreement between different assays for CTX and PINP and established reference intervals in a cohort of 2300 individuals. We found poor agreement between assays and different reference intervals. This highlights the importance of harmonization of the assays.
INTRODUCTION: Two reference markers for bone turnover have been proposed: CTX bone resorption and P1NP for bone formation. The purpose of the current study was to establish reference intervals for the two markers in a Danish cohort and to determine the agreement on the two platforms.
METHODS: Fasting sera from 2308 individuals (1250 males and 1058 females, age range 24-76 years) participating in the Health2006 study were analyzed for CTX and P1NP using the automated IDS-iSYS analyzer and the automated Cobas e411 analyzer. Participants in anti-osteoporotic treatment were excluded, while subjects on hormonal contraceptives were included.
RESULTS: There was significant disagreement between both the two P1NP assays with a mean difference of -3 μg/L (LoA -19 to 14) (p < 0.001) and the two CTX assays with a mean difference of 13 ng/L (LoA-187 to 214) (p < 0.001). For CTX, there was a systematic bias: at low values, Cobas measured a higher value than iSYS and at higher concentrations, iSYS measured increasingly higher values than Cobas. Based on the results, we propose three reference intervals for each sex: 25-29, 30-39, and 40-80 years for men, and 25-29, >30 (pre-menopausal), and >30 years (post-menopausal) for women.
CONCLUSIONS: There is significant disagreement between the IDS-iSYS and Roche Cobas assays for both reference markers. Consequently, the reference intervals for an adult, healthy population are different depending on the analysis method used. Therefore, repeated measurements of patient samples used for monitoring of treatment should be done on the same assay. Moreover, assay-specific reference intervals should be used. Harmonization of assays for BTM is highly warranted.

Entities:  

Keywords:  BTM; CTX; P1NP; Reference intervals

Mesh:

Substances:

Year:  2017        PMID: 28455749     DOI: 10.1007/s00198-017-4026-z

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  30 in total

1.  Cohort Profile: the Health2006 cohort, research centre for prevention and health.

Authors:  Betina H Thuesen; Charlotte Cerqueira; Mette Aadahl; Jeanette Frost Ebstrup; Ulla Toft; Jacob P Thyssen; Runa Vavia Fenger; Lars-Georg Hersoug; Jesper Elberling; Oluf Pedersen; Torben Hansen; Jeanne Duus Johansen; Torben Jørgensen; Allan Linneberg
Journal:  Int J Epidemiol       Date:  2013-04-24       Impact factor: 7.196

2.  Bone turnover markers in Spanish adult men The Camargo Cohort Study.

Authors:  José M Olmos; José L Hernández; Josefina Martínez; Emilio Pariente; Javier Llorca; Jesús González-Macías
Journal:  Clin Chim Acta       Date:  2010-06-18       Impact factor: 3.786

3.  Bone turnover markers: Defining a therapeutic target.

Authors:  S A Paul Chubb; Elizabeth Byrnes; Laurens Manning; Jonathan Golledge; Peter R Ebeling; Leon Flicker; Bu B Yeap; Samuel D Vasikaran
Journal:  Clin Biochem       Date:  2016-09-13       Impact factor: 3.281

4.  International Federation of Clinical Chemistry. Scientific committee, Clinical Section. Expert Panel on Theory of Reference Values and International Committee for Standardization in Haematology Standing Committee on Reference Values. Approved recommendation (1986) on the theory of reference values. Part 1. The concept of reference values.

Authors:  H E Solberg
Journal:  Clin Chim Acta       Date:  1987-05-29       Impact factor: 3.786

5.  International Federation of Clinical Chemistry (IFCC), Scientific Committee, Clinical Section, Expert Panel on Theory of Reference Values, and International Committee for Standardization in Haematology (ICSH), Standing Committee on Reference Values. Approved Recommendation (1986) on the theory of reference values. Part 1. The concept of reference values.

Authors:  H E Solberg
Journal:  J Clin Chem Clin Biochem       Date:  1987-05

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Age-related reference intervals for bone turnover markers from an Australian reference population.

Authors:  N Jenkins; M Black; E Paul; J A Pasco; M A Kotowicz; H-G Schneider
Journal:  Bone       Date:  2013-04-16       Impact factor: 4.398

8.  International Osteoporosis Foundation and International Federation of Clinical Chemistry and Laboratory Medicine position on bone marker standards in osteoporosis.

Authors:  Samuel Vasikaran; Cyrus Cooper; Richard Eastell; Andrea Griesmacher; Howard A Morris; Tommaso Trenti; John A Kanis
Journal:  Clin Chem Lab Med       Date:  2011-05-24       Impact factor: 3.694

Review 9.  Clinical usefulness of bone turnover marker concentrations in osteoporosis.

Authors:  H A Morris; R Eastell; N R Jorgensen; E Cavalier; S Vasikaran; S A P Chubb; J A Kanis; C Cooper; K Makris
Journal:  Clin Chim Acta       Date:  2016-06-30       Impact factor: 3.786

10.  The association of the 'additional height index' with atopic diseases, non-atopic asthma, ischaemic heart disease and mortality: a population-based study.

Authors:  R V Fenger; C Vidal; A Gonzalez-Quintela; L L N Husemoen; T Skaaby; M Aadahl; A Linneberg
Journal:  BMJ Open       Date:  2014-02-28       Impact factor: 2.692

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Authors:  Carolyn J Crandall; Sowmya Vasan; Andrea LaCroix; Meryl S LeBoff; Jane A Cauley; John A Robbins; Rebecca D Jackson; Douglas C Bauer
Journal:  J Bone Miner Res       Date:  2018-06-19       Impact factor: 6.741

2.  Clinical utility of bone turnover markers in monitoring the withdrawal of treatment with oral bisphosphonates in postmenopausal osteoporosis.

Authors:  K E Naylor; E V McCloskey; R M Jacques; N F A Peel; M A Paggiosi; F Gossiel; J S Walsh; R Eastell
Journal:  Osteoporos Int       Date:  2019-01-06       Impact factor: 4.507

Review 3.  A Systematic Review of the Circadian Rhythm of Bone Markers in Blood.

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4.  A Multicenter Study to Evaluate Harmonization of Assays for C-Terminal Telopeptides of Type I Collagen (ß-CTX): A Report from the IFCC-IOF Committee for Bone Metabolism (C-BM).

Authors:  E Cavalier; R Eastell; N R Jørgensen; K Makris; S Tournis; S Vasikaran; J A Kanis; C Cooper; H Pottel; H A Morris
Journal:  Calcif Tissue Int       Date:  2021-03-04       Impact factor: 4.333

5.  Harmonization of commercial assays for PINP; the way forward.

Authors:  S D Vasikaran; H P Bhattoa; R Eastell; A C Heijboer; N R Jørgensen; K Makris; C Ulmer; J A Kanis; C Cooper; S Silverman; E Cavalier
Journal:  Osteoporos Int       Date:  2020-01-23       Impact factor: 4.507

6.  Dimethandrolone Undecanoate, a Novel, Nonaromatizable Androgen, Increases P1NP in Healthy Men Over 28 Days.

Authors:  Arthi Thirumalai; Fiona Yuen; John K Amory; Andrew N Hoofnagle; Ronald S Swerdloff; Peter Y Liu; Jill E Long; Diana L Blithe; Christina Wang; Stephanie T Page
Journal:  J Clin Endocrinol Metab       Date:  2021-01-01       Impact factor: 5.958

7.  IGFBP7 and GDF-15, but not P1NP, are associated with cardiac alterations and 10-year outcome in an elderly community-based study.

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Journal:  BMC Cardiovasc Disord       Date:  2021-07-03       Impact factor: 2.298

8.  Analytical considerations and plans to standardize or harmonize assays for the reference bone turnover markers PINP and β-CTX in blood.

Authors:  Harjit P Bhattoa; Etienne Cavalier; Richard Eastell; Annemieke C Heijboer; Niklas R Jørgensen; Konstantinos Makris; Candice Z Ulmer; John A Kanis; Cyrus Cooper; Stuart L Silverman; Samuel D Vasikaran
Journal:  Clin Chim Acta       Date:  2020-12-28       Impact factor: 6.314

9.  Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data.

Authors:  Ju Shao; Shao-Song Zhou; Yuan Qu; Bi-Bo Liang; Qing-Hong Yu; Jing Wu
Journal:  BMC Musculoskelet Disord       Date:  2020-09-10       Impact factor: 2.362

Review 10.  East meets West: current practices and policies in the management of musculoskeletal aging.

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Journal:  Aging Clin Exp Res       Date:  2019-08-02       Impact factor: 3.636

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