Literature DB >> 10469288

The relationship of biochemical markers of bone turnover to bone density changes in postmenopausal women: results from the Postmenopausal Estrogen/Progestin Interventions (PEPI) trial.

R Marcus1, L Holloway, B Wells, G Greendale, M K James, C Wasilauskas, J Kelaghan.   

Abstract

We assessed the associations of eight bone turnover markers (BTMs) with baseline and 1-year percentage changes in lumbar spine and hip bone mineral density (BMD) of 293 postmenopausal women undergoing treatment with hormone replacement therapy (HRT) or placebo using squared correlation coefficients (R2). In 239 women assigned to treatment with estrogen alone or with with estrogen plus progestins (active treatment), mean percentage changes for all markers decreased significantly and remained below baseline values through 3 years of study, whereas mean percentage changes for 54 women assigned to the placebo group showed no significant change from baseline in any marker. At baseline, age and body mass index (BMI) together accounted for 16% and 25% of the variance in spine and hip BMD, respectively. The telopeptide resorption marker, cross-linked N-telopeptide of type I collagen (NTX), alone accounted for 12% and 8% of variance, respectively. Another telopeptide, carboxy-terminal telopeptide of type I collagen (Crosslaps), accounted for 8% and 7% of variance, respectively. A bone-specific alkaline phosphatase (BALP-2) accounted for 8% of variance at the spine and 5% at the hip. No other marker accounted for more than 5% of total variance at either site; adding either baseline NTX, Crosslaps, or BAP-2 to regressions containing age and BMI increased R2 values at the spine and hip to about 22% and 28%, respectively. In the placebo group, baseline spine BMD accounted for 4% of the variance in 1-year spine BMD percentage change, whereas baseline values for age and BMI accounted for 1% and 0% of the variance, respectively; none of the three accounted for more than 0% of hip BMD percentage change; Crosslaps and NTX contributed 5% and 4% to the variance in 1-year spine BMD percentage change, but other markers accounted for < 2% of variance at the spine. At the hip, another BALP (BALP-1) accounted for 4% of variance, but no other baseline marker except NTX accounted for more than 1% of variance. In the active treatment group, baseline values for age, BMI, and spine BMD together accounted for 13% of the percentage change in spine BMD and for 4% of the BMD change at the hip. No individual or pair of baseline markers significantly enhanced these R2 values, but addition of 1-year percentage changes in some individual markers did significantly increase it. The largest R2 value was obtained by adding the percentage change in BALP-2, which increased the R2 in spine BMD percentage change to 20% and that at the hip to 8%. Adding baseline and change variables for all eight markers to the regression increased R2 to 28% at the spine and 12% at the hip. Restricting the set of analyses to individuals who suppressed marker activity beyond the precision error for the measurement did not improve R2s for the regressions. When baseline marker values were stratified into quartiles, only NTX and osteocalcin showed significant relationships between quartile and change in spine BMD, and these did not reach significance at the hip. When the 1-year change in markers was stratified into quartiles, significant relationships with percentage change in spine BMD were observed only for BALP phosphatases. We conclude that BTMs are not a surrogate for BMD to identify women with low bone mass and that they offer little useful information for predicting BMD changes for individual untreated or HRT-treated postmenopausal women.

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Year:  1999        PMID: 10469288     DOI: 10.1359/jbmr.1999.14.9.1583

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  23 in total

Review 1.  Diagnosis of postmenopausal osteoporosis: reviews in endocrine and metabolic disorders.

Authors:  A T Shields; C H Chesnut
Journal:  Rev Endocr Metab Disord       Date:  2001-01       Impact factor: 6.514

Review 2.  Monitoring hormone replacement therapy by biochemical markers of bone metabolism in menopausal women.

Authors:  E Dogan; C Posaci
Journal:  Postgrad Med J       Date:  2002-12       Impact factor: 2.401

3.  Biochemical markers of bone turnover predict bone loss in perimenopausal women but not in postmenopausal women-the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  M Iki; A Morita; Y Ikeda; Y Sato; T Akiba; T Matsumoto; H Nishino; S Kagamimori; Y Kagawa; H Yoneshima
Journal:  Osteoporos Int       Date:  2006-05-03       Impact factor: 4.507

4.  Timing of follow-up densitometry in hormone replacement therapy users for optimal osteoporosis prevention.

Authors:  Miguel A Checa; L Del Rio; J Rosales; X Nogués; J Vila; R Carreras
Journal:  Osteoporos Int       Date:  2004-12-23       Impact factor: 4.507

5.  Heterogeneity of biological bone markers in idiopathic male osteoporosis.

Authors:  Michel Laroche
Journal:  Rheumatol Int       Date:  2011-04-17       Impact factor: 2.631

6.  Prediction of bone loss using biochemical markers of bone turnover.

Authors:  J Lenora; K K Ivaska; K J Obrant; P Gerdhem
Journal:  Osteoporos Int       Date:  2007-04-18       Impact factor: 4.507

7.  Bone turnover markers are correlated with quantitative ultrasound of the calcaneus: 5-year longitudinal data.

Authors:  J Lenora; P Gerdhem; K J Obrant; K K Ivaska
Journal:  Osteoporos Int       Date:  2008-10-23       Impact factor: 4.507

8.  Serum osteoprotegerin and its relationship with bone mineral density and markers of bone turnover.

Authors:  Olafur S Indridason; Leifur Franzson; Gunnar Sigurdsson
Journal:  Osteoporos Int       Date:  2004-07-20       Impact factor: 4.507

9.  Bone turnover and body weight relationships differ in normal-weight compared with heavier postmenopausal women.

Authors:  M Cifuentes; M A Johnson; R D Lewis; S B Heymsfield; H A Chowdhury; C M Modlesky; S A Shapses
Journal:  Osteoporos Int       Date:  2003-02-04       Impact factor: 4.507

10.  Biochemical markers for bone turnover predict risk of vertebral fractures in postmenopausal women over 10 years: the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  J Tamaki; M Iki; E Kadowaki; Y Sato; Y Chiba; T Akiba; T Matsumoto; H Nishino; S Kagamimori; Y Kagawa; H Yoneshima
Journal:  Osteoporos Int       Date:  2012-08-11       Impact factor: 4.507

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