| Title |
Comparison of two automated assays of BTM (CTX and P1NP) and reference intervals in a Danish population
|
|---|---|
| Published in |
Osteoporosis International, April 2017
|
| DOI | 10.1007/s00198-017-4026-z |
| Pubmed ID | |
| Authors |
N. R. Jørgensen, L. T. Møllehave, Y. B. L. Hansen, N. Quardon, L. Lylloff, A. Linneberg |
| 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. 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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 9 | 15% |
| Other | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 33% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Social Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 24 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2017.
All research outputs
#14,935,459
of 22,971,207 outputs
Outputs from Osteoporosis International
#2,286
of 3,668 outputs
Outputs of similar age
#184,377
of 310,531 outputs
Outputs of similar age from Osteoporosis International
#39
of 68 outputs
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