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The Journal of Clinical Endocrinology & Metabolism Vol. 82, No. 6 1904-1910
Copyright © 1997 by The Endocrine Society


Clinical Studies

The Predictive Value of Biochemical Markers of Bone Turnover for Bone Mineral Density in Early Postmenopausal Women Treated with Hormone Replacement or Calcium Supplementation1

Clifford J. Rosen, Charles H. Chesnut, III and Nancy J. S. Mallinak

Maine Center for Osteoporosis Research and Education, St. Joseph Hospital (C.J.R.), Bangor, Maine 04401; University of Washington School of Medicine (C.H.C.), Seattle, Washington 98134; and Ostex International (N.J.S.M.), Seattle, Washington 98134

Address all correspondence and requests for reprints to: Clifford J. Rosen, M.D., St. Joseph Hospital, 360 Broadway, Bangor, Maine 04401.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 
To compare the relative sensitivity and specificity of bone turnover indexes for bone loss or gain in early postmenopausal women, we performed a multicenter trial in 236 menopausal women (mean age, 51 yr), who were randomized to hormone replacement therapy (HRT) or calcium supplementation (CS; 500 mg/day) for 1 yr. Two markers of bone formation, osteocalcin (OC) and bone alkaline phosphatase (BSAP), and two markers of bone resorption, urinary N-telopeptide (NTx) and urinary free deoxypyridinoline (fDpd), as well as spine and femoral neck bone mineral density (BMD) were measured at baseline and 3, 6, and 12 months after treatment. Women receiving HRT (n = 105) showed a significant increase in spine BMD (+2.5%; P < 0.0001) and hip BMD (+1.0%; P = 0.02) compared to women receiving CS, who showed a decline at both sites (-1.1%; P < 0.01). All four markers showed time-dependent decreases in women receiving HRT (P < 0.001) and no change in women receiving CS alone. When baseline indexes of turnover were stratified by quartile, there was a significantly greater increase in BMD among those with the highest NTx, OC, and BSAP levels compared to that in those with the lowest NTx, OC, and BSAP levels (P < 0.05). The highest quartile for percent change from baseline to 6 months in fDpd, BSAP, and NTx was also associated with the greatest change in spine BMD at 1 yr. Receiver operator characteristic curves for percent change from baseline to 6 months in an individual marker to 1 yr change in BMD during HRT revealed that the percent change in NTx provided the greatest discrimination between gain and loss of BMD. When subjects receiving HRT were compared by their positive or negative skeletal response at 1 yr and their baseline turnover marker, initial NTx values were significantly higher in those that gained bone than in those that lost bone (P = 0.0002). CS women in the highest quartile for NTx at baseline had significantly greater decreases in spine BMD than subjects with the lowest NTx values (P < 0.005), although this was not true for fDpd (P < 0.20). In conclusion, for early postmenopausal women there are differential responses of biochemical markers to HRT and CS. Baseline urinary NTx and serum OC were the most sensitive predictors of change in spine BMD after 1 yr of either HRT or CS. Similarly, the percent change in NTx and OC from baseline to 6 months best predicted bone gain or loss. We conclude that markers of bone formation and resorption can be used clinically to predict future BMD in early postmenopausal women.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 
INCREASED bone remodeling is a characteristic feature of the immediate postmenopausal period in most women (1). Accelerated skeletal turnover with subsequent bone loss in the 5 yr after menopause is directly linked to estrogen deficiency and is slowed by hormone replacement therapy (HRT) (1, 2). However, not all women exhibit rapid bone loss during these years, and a small but important percentage of women receiving HRT show minimal or no skeletal response [change in bone mineral density (BMD)] to hormone treatment (3). Assessing the change in BMD at one or more skeletal sites during HRT still remains the accepted standard for determining an individual’s response to therapy and, therefore, the relative risk for future fracture. However, with the recent emergence of newer and more convenient methods for measuring biochemical markers of bone turnover, skeletal responsiveness to HRT can now be assessed. The clinical utility of such markers to determine the efficacy of antiresorptive therapy has recently been reported (4, 5). Controversy still exists as to whether a single baseline marker of bone turnover or timed assessments with a turnover marker (one before and one during HRT) are clinically reliable indicators of future BMD or change in BMD in response to therapy (6). Furthermore, because individual biochemical parameters reflect different aspects of the bone-remodeling cycle (bone formation or bone resorption) as well as various components of skeletal breakdown [e.g. N-telopeptide (NTx) collagen cross-link vs. free pyridinoline cross-links], it is still unclear which of the several commercially available markers can best predict the bone density response to treatment. Based on these ongoing controversies, this multicenter study of early postmenopausal women was designed to examine whether a single baseline marker or a change in marker could predict subsequent BMD.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 
Subjects

Two hundred and thirty-six postmenopausal women, aged 40–58 yr (mean age, 51 yr), were recruited from eight clinical research sites situated in the major geographical regions of the United States, as described previously (4). Women were randomized if they met the following conditions: 1) natural menopause from 6 months to 3 yr before the study, 2) willingness to be randomized to either calcium carbonate or HRT, and 3) FSH levels above 30 IU/mL at the time of screening. Exclusion criteria included 1) medications that might interfere with bone metabolism (e.g. anticonvulsants, warfarin, or glucocorticoids), 2) presence of a disease known to affect skeletal turnover (e.g. diabetes mellitus, hyper- or hypo-parathyroidism, sarcoidosis, or malignancy), 3) ideal body weight greater than 130%, 4) renal insufficiency (serum creatinine, >2.0 mg/dL), 5) recent fracture or immobilization, 6) positive mammogram within 12 months, or 7) baseline spine or hip BMD more than 4 SD below the mean of young normal subjects.

Experimental design

Upon enrollment, women were randomized for a 1-yr single blind trial to either calcium supplements alone (CS; Oscal 500, once per day, Smith Kline Beecham, St. Louis, MO) or HRT plus one calcium supplement per day (Oscal-500). For the HRT arm, conjugated equine estrogen (0.625 mg; Premarin, Wyeth Ayerst, Philadelphia, PA) or another equivalent estrogen preparation and continuous or cyclic medroxyprogesterone (2.5 mg/day, continuous; 5.0 mg/day, cyclic; Provera, Upjohn Co., Kalamazoo, MI) were administered. In addition, women were instructed to maintain a total calcium intake (dietary plus supplements) of 800-1200 mg Ca/day.

Subjects were followed for 1 yr, with biochemical measurements obtained at baseline and then 1, 3, 6, and 12 months after initiation of treatment. Two hundred and twenty-seven women completed 1 yr of the trial. Nine women did not complete the study; four moved away, two decided to stop taking the drug (one taking calcium and one taking HRT), and three were removed from the study by their primary care physician (two taking calcium and one taking HRT). Institutional review board approval of the study protocol and informed consent were obtained at all sites before recruitment or initiation of treatment.

BMD

Dual energy x-ray absorptiometry of the spine and femoral neck was performed at all eight clinical sites using machines from three manufacturers (Hologic, Waltham, MA; Lunar, Madison, WI; and Norland, Atkinson, WI). The University of Washington Osteoporosis Research Group provided quality control and phantom cross-calibration for the dual energy x-ray absortiometry measurements. The calibration factor from the quality control provided standardization of the results among the eight clinical sites and different manufacturers’ equipment. The reported precision of measurement at the spine was 1.04%, and that at the femoral neck was 2.13% (7). BMD was measured at baseline and 3, 6 and 12 months after treatment.

Biochemical markers of bone turnover and gonadotropins

FSH was measured on one screening visit to assess eligibility (FSH, >30 IU/mL). Retests of subjects who had borderline gonadotropin levels were permitted to reach FSH concentrations above 30 IU/mL before randomization. Serum FSH was also determined at 6 months and 1 yr in all subjects. Two markers of bone formation and two markers of bone resorption were selected as primary end points for this study. Biochemical markers were measured at screening and after randomization but before treatment (day 0). For the subjects receiving treatments, measurements were made 1, 3, 6, and 12 months after therapy. Bone resorption markers were measured while subjects were fasting in the second morning voided urine specimens collected at study visits. Serum formation indicators were collected at the same time as the urine samples (i.e. fasting morning samples). The samples for biochemical markers were initially collected at the individual research site, frozen, shipped to the central laboratory (American Medical Laboratories, Chantilly, VA), aliquoted into vials, and stored (-20 C) until testing at three laboratories: 1) American Medical Laboratories (Chantilly, VA), 2) Endocrine Sciences (Calabasas Hills, CA), and 3) Dynacare Laboratory of Pathology, (Seattle, WA).

Bone resorption indexes

NTx was measured by a commercially available enzyme-linked immunosorbent assay that uses a specific monoclonal antibody directed against the NTx intermolecular cross-linking domain of type I collagen of bone (Osteomark, Ostex International, Seattle, WA) (8). Urinary values were calculated from a standard curve of known NTx concentrations and expressed as bone collagen equivalents (BCE). Levels of BCE reflect the amount of immunoreactive NTx liberated from human bone collagen after bacterial collagenase digestion as measured by hydroxyproline using high performance liquid chromatography. Assay values were corrected for dilution by urinary creatinine analysis and expressed as nanomoles per L BCE/millimoles per L creatinine. The sensitivity of the assay was 20 nmol/L BCE. Intra- and interassay variabilities averaged 7.6% and 4%, respectively. The normal (premenopausal) expected range is 5–65 nmol/L BCE/mol/L creatinine.

Free deoxypyridinoline (fDpd) was measured by a commercially available competitive enzyme-linked immunosorbent assay that uses a monoclonal antibody directed against fDpd (Pyrilinks-D, Metra Biosystems, Mountain View, CA) (9). Cross-reactivity with free pyridinoline is reported as less than 1%, and free pyridinoline/fDpd peptides was less than 2.5% (9). Assay values are corrected for dilution by urinary creatinine analysis and expressed as nanomoles per L/millimoles per L creatinine. Within- and between-run precisions reported by the manufacturer, as determined with three urine samples of varying fDpd concentration, averaged 6.1% and 4.2%, respectively. The reference range for healthy premenopausal women is 3.0–7.4 nmol/L/mol/L.

Bone formation markers

Osteocalcin (OC) was measured by a RIA that uses rabbit antihuman OC antibody and radiolabeled human OC (10). This procedure measures both intact as well as N-terminal fragments. The reported sensitivity is 0.8 ng/mL. Intra- and interassay variabilities of 8.1% and 12% have been reported. The expected normal range for postmenopausal women is 1.5–11.0 ng/mL.

Bone-specific alkaline phosphatase (BSAP) was measured in a kinetic colorimetric assay (11). The bone-specific fraction is determined by inhibition of other fractions by heat and chemicals as well as utilization of highly purified BAP as standard (12). The sensitivity was reported to be greater than 2.5 U/mL, with intra- and interassay variabilities of 18.7% and 6.8%, respectively. Expected values ranged from 2.8–12.0 U/mL.

Data analysis

The variables for the four markers and those for the spine (L1–L4) and femoral neck BMD were analyzed using both their actual values and the percent change from baseline. A paired t test was used to determine the significance of changes from baseline. Comparisons between quartiles of the markers were made using the Wilcoxon rank sum test. The percent change in L1–L4 BMD at 1 yr was used to classify subjects as maintaining/gaining (zero or positive change) or losing (negative change) BMD. Receiver operating characteristic (ROC) curves were used to compare the relationship between the individual markers and a gain or loss in BMD at 1 yr. These curves plot sensitivity vs. one minus specificity, and thus, the area under the curve provides a measure of predictive power. The odds of a gain or loss of BMD for an increase of 1 SD in the individual markers were estimated from logistic regression models in which the dependent variable was the gain or loss in BMD, and the independent variable was the value of the marker at baseline. Data are presented as the mean ± SEM unless otherwise noted. All tests are two-sided; P <0.05 was defined as significant. All analyses were performed using the Statistical Analysis System (SAS Institute, Cary, NC).


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 
HRT group

At 12 months BMD increased significantly in HRT-treated women at both spine (+2.5%; P < 0.0001) and femoral neck (hip; +1.0%; P < 0.05). Only approximately one third of women receiving HRT showed suppression of FSH below 30 IU/L even though more than two thirds had a positive skeletal response to replacement therapy. The mean FSH for all women treated with HRT at 6 months was 41 ± 23 IU/L. On the other hand, markers of bone remodeling decreased consistently in response to HRT. A significant decrease was seen at 1 month with NTx, fDpd, and OC, with mean percent changes from baseline of -28%, -10%, and -15% (P < 0.0001), respectively (Fig. 1Go). BSAP increased at 2 and 3 months, but then declined at 6 and 12 months (-25%; P < 0.0001).



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Figure 1. Percent change from baseline for four biochemical markers of bone turnover in women treated with HRT during the study. All four markers showed statistically significant changes from baseline to 12 months (P < 0.0001).

 
The response to HRT at the spine was stratified into quartiles by biochemical marker value at baseline for NTx, fDpd, OC, and BSAP (Fig. 2Go). Stratification of the NTx baseline value demonstrated a significant difference between the increase in BMD in those subjects with higher NTx values (Q4) and those with lower NTx values (Q1; P < 0.05). This was not observed with fDpd, where the difference between Q1 and Q4 was not statistically significant. Significant differences were observed between Q1 and Q4 for both OC and BSAP (P < 0.05).



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Figure 2. Response to HRT at the spine as measured by quartiles of biochemical markers at baseline. ns, Not significantly different from baseline BMD. *, P < 0.05; **, P < 0.001; ***, P < 0.0001 (vs. baseline). Differences between highest and lowest quartiles were determined using the Wilcoxon rank sum test, and P values are denoted.

 
Stratification was also performed on the response of the marker to HRT by quartile of the percent change from baseline to 6 months. For NTx, those women with the greatest percent decrease from baseline (-87% to -66%; Q4) had the greatest increase in BMD (4.45 ± 0.67 g/cm2), whereas subjects that experienced the least NTx response to HRT had the smallest increase in BMD (+1.36 ± 0.59 g/cm2; P < 0.005). fDpd showed similar results; subjects with the greatest percent decrease in marker value over 6 months had a greater increase in BMD (3.11 ± 0.63) than those with a smaller decrease in marker (1.44 ± 0.57; P < 0.01). Similarly, subjects in the highest quartile of decrease in BSAP demonstrated a greater increase in BMD (4.11 ± 0.71) than those in the lowest quartile (1.86 ± 0.63; P < 0.05). However, the percent change quartile results for OC did not follow that trend, with a nonsignificant difference in BMD increase between the quartile with the greatest percent change (-95% to -56%) and that with the least percent change (-32% to +146%).

Although the quartile analysis compared baseline marker values or response in markers to change in spine BMD, ROC curves were used to determine whether the percent change at 6 months in a marker could predict gain or loss of spine BMD after 1 yr of HRT (Fig. 3Go). Those analyses yielded similar results, with the percent change in NTx providing a greater discrimination between gain and loss of BMD than OC, BSAP, or fDpd.



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Figure 3. ROC curves were used to compare the relationship between change in individual markers from baseline to 6 months (Predictor) and a gain or loss of spine BMD at 1 yr (Outcome). These curves plot sensitivity vs. one minus specificity, and the area under the curve provides a measure of predictive power.

 
The difference between resorption markers in their ability to predict change in BMD at 1 yr by their baseline value was further analyzed by comparing their capacity to more broadly categorize subjects as gaining (maintenance or gain) or losing spine BMD during treatment with 0.625 mg conjugated equine estrogen and progesterone. As shown in Fig. 4Go, the mean baseline resorption marker value for those gaining spine BMD was compared to that in those losing BMD after 1 yr of HRT. For the group receiving a skeletal benefit from HRT (n = 84), the gain in spine BMD at 1 yr was +3.9 ± 2.8%, whereas for those that lost BMD during HRT (n = 22), the loss in spine BMD was -1.7 ± 1.6%. Mean baseline NTx values were significantly different between those that gained and those that lost BMD at the spine (63 nmol/L BCE/mol/L creatinine vs. 42 nmol/L BCE/mmol/L creatinine; P = 0.0002). However, baseline fDpd values were not statistically different between the two groups (6.5 nmol/L Dpd/mmol/L creatinine vs. 5.9 nmol/L Dpd/mmol/L creatinine).



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Figure 4. Baseline markers of bone resorption as a function of women who gained BMD (or registered no change) at 1 yr (Gainers) vs. women who lost spine BMD at year one (Losers) during HRT. For baseline fDpd, there was no difference between the two respondent types, whereas for baseline NTx, gainers had significantly greater values than losers (P = 0.0002).

 
The ability of markers to predict gain in spine BMD in the HRT group from the baseline value was also compared using odds ratios. In this analysis, odds of gain or loss of BMD by an increase of 1 SD in the baseline marker value was compared (Table 1Go). The odds ratios ranged from 6.4 (95% confidence interval, 2.6–9.99) for OC to 1.2 (95% confidence interval, 0.80–1.73) for fDpd. An increase of 1 SD in the baseline fDpd value (1.7 nmol/L Dpd/mmol/L creatinine) did not affect the odds of receiving a skeletal benefit from HRT as measured by a gain in spine BMD after 1 yr of therapy.


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Table 1. Odds of gain or loss of BMD by increase of 1 SD in marker value

 
Calcium supplementation group

In the CS group, BMD decreased significantly at the spine and hip (-1.1%; P < 0.01). Mean resorption marker values did not change significantly over the 12 months of CS. However, BSAP increased from baseline to 12 months, whereas OC did not change. The response to calcium at the spine was stratified into quartiles by the average on-therapy value for the bone resorption markers (Fig. 5Go). Comparison of the resorption marker quartile analysis for the CS group was similar to that for the HRT group. Subjects with the highest NTx values (>64 nmol/L BCE/mmol/L creatinine) maintained throughout the study had a significantly greater decrease in spine BMD (-2.3 ± 0.4%) than subjects with the lowest NTx values (<38 nmol/L BCE/mmol/L creatinine; +0.2 ± 0.6%; P < 0.005). However, stratification of fDpd average on-therapy values revealed that loss of BMD in subjects in the highest quartile (>7.5 nmol/L Dpd/mmol/L creatinine) were not different from that in subjects in the lowest quartile (<5.3 nmol/L Dpd/mmol/L creatinine; P = 0.18).



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Figure 5. Response of BMD at the spine for women receiving calcium supplementation alone by quartiles of marker values. The biochemical marker quartiles are distinguished by the average on-therapy value, as there was virtually no change in any of the four markers in the CS group over 1 yr of the study. ns, Not statistically significant from baseline BMD. *, P < 0.05; **, P < 0.001; ***, P < 0.0001 (vs. baseline). Differences between the lowest and highest quartiles were assessed by the Wilcoxon rank sum test, and P values are denoted.

 
Stratification of the average on-therapy values for the bone formation markers and the corresponding mean percent change in spine BMD (Fig. 5Go) demonstrated a lack of change in BSAP through the majority of the study. A significant difference between the percent change in spine BMD for OC Q1 and Q4 was observed (P < 0.05); subjects that maintained values above 8.0 ng/mL had a greater decrease in spine BMD (-1.66 ± 0.64%) than those that maintained values below 5.1 ng/mL (0.06 ± 0.50%). There was a nonsignificant difference between Q1 BSAP and Q4 BSAP.

The ability of the markers to predict loss of spine BMD in the calcium group from the average on-therapy value confirmed the quartile results (Table 1Go). For NTx and OC, an increase of 1 SD in the average on-therapy value increased the odds of losing spine BMD by 2.1 and 1.6, respectively.


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 
In this randomized multicenter trial we established both the time course and the degree of responsiveness for several biochemical markers of bone turnover during hormone replacement therapy. In addition, we examined the power of a baseline marker to predict bone density over the first year of treatment with either calcium carbonate or calcium plus hormone replacement in healthy postmenopausal women. Although previous longitudinal trials have examined bone density changes and biochemical marker responsiveness to estrogen or estrogen/progesterone replacement therapy, this study is one of the few that have compared the performance of several biochemical indexes of bone turnover in a prospective trial design (3, 4, 13, 14). In particular, this study addressed the issue of whether biochemical markers could be used in the immediate postmenopausal period to predict which patients should be considered for HRT and how that decision would affect bone density after 1 yr of treatment.

Several lines of evidence suggest that bone turnover indexes provide clinically relevant information about skeletal remodeling and bone responsiveness to therapy. For instance, all four biochemical markers decreased in a time-dependent manner during 1 yr of HRT. From this study, it is clear that HRT suppresses bone resorption more than formation and, therefore, is almost certainly the mechanism responsible for the modest increase in spine and hip BMD seen in most trials of estrogen replacement therapy. The resultant increase in vertebral and femoral BMD in this trial is also consistent with results from earlier studies as well as the recently completed PEPI (postmenopausal estrogen progesterone intervention) study (3). However, in the PEPI study, the women were older and consequently had been postmenopausal for a longer period (3). As bone turnover is increased in the immediate postmenopausal period, attempts to compare marker responsiveness in our study to those in other studies (e.g. PEPI) could be problematic.

Although all four biochemical markers were suppressed during HRT, the earliest and most significant change from baseline was noted for urinary NTx and serum OC. That trend continued at later time points as well, suggesting that measurement of serum OC or urinary NTx 1–3 months after initiation of therapy can reflect changes in bone remodeling as well as the degree of bone mass responsiveness. ROC curve analysis for change in markers from baseline to 6 months further reinforces these findings.

In addition to changes in bone formation and bone resorption markers with HRT, there is evidence from this study that a baseline biochemical marker can predict subsequent bone density in response to intervention. Using quartile analysis of women treated with HRT, those with the highest serum OC, BSAP, and urinary NTx excretion exhibited the greatest increase in spine bone density after 1 yr of treatment, whereas only fDpd failed to predict a statistically significant change in BMD. In the same vein, these indexes could be useful in identifying women who might not have a favorable response to HRT (i.e. loss of BMD after 1 yr) compared to those who showed an increase in lumbar BMD. Twenty-two women (20%) receiving HRT had a decline in spine BMD after 1 yr of HRT (mean, -1.7%, Fig. 4Go). When gainers of BMD were compared to losers of BMD by baseline NTx excretion, those women who gained bone mass had significantly higher mean urinary NTx at baseline than those who lost BMD. We also noted highly significant odds ratios for an increase in bone mass during HRT when a single baseline OC or NTx measurement was 1 or more SD above the premenopausal normal range. This would confirm earlier observations that skeletal responsiveness to estrogens and calcitonin is influenced by the pretreatment status of the bone-remodeling unit (15, 16, 17).

The mechanism responsible for the observed relationship between NTx and skeletal response or nonresponse to HRT is unclear, although the relatively young age (mean age, 51 yr) of our cohort may be important. However, other possibilities could explain the relatively high proportion of our cohort who did not respond to 0.625 mg conjugated equine estrogen and progesterone. First, early postmenopausal women may be undergoing greater changes in bone turnover than older women and, hence, may respond by decreasing their rate of bone loss rather than increasing their BMD. Second, there may be a relatively fixed proportion of postmenopausal women who exhibit either skeletal resistance to conventional doses (0.625 mg) of conjugated equine estrogens or are rapid metabolizers of estrogen. Third, we cannot exclude the possibility of noncompliance with HRT. This phenomenon is quite common in clinical practice and has been noted in other studies, although in our trial almost all women receiving HRT had a significant suppression of NTx from baseline, suggesting some drug effect from estrogen. Finally, it is uncertain whether changes in BMD at 1 yr are sufficient to determine final skeletal responsiveness to HRT. As all markers demonstrated a time-dependent decrease, we cannot exclude the possibility that further suppression of bone turnover with a subsequent increase in BMD could occur. Despite these possibilities, questions concerning the proper replacement dose for an individual and identification of nonresponders before treatment are likely to persist.

In contrast to women receiving HRT, women randomized to calcium alone exhibited a significant decrease in femoral and lumbar BMD at the end of 1 yr. However, by stratification of average marker values across the study year, only NTx and OC values could predict the subsequent loss of bone, whereas fDpd and BSAP could not; i.e. when considering fDpd, women that maintained over 1 yr the highest values of fDpd did not lose significantly more bone than those with the lowest fDpd. Furthermore, the value of a marker for identifying a pretreatment risk for bone loss in postmenopausal women supplemented with calcium alone is strengthened by the relatively high odds ratio for bone loss for serum OC and urinary NTx. In addition, all markers showed relatively stable values over the course of the study in the calcium-supplemented women. Hence, this trial provides further comparative data on the predictive value of the four most commonly used biochemical markers of turnover in early postmenopausal women treated with either calcium or estrogen/progesterone.

There were several limitations to this randomized calcium-controlled study. First, our population had recently entered menopause. Thus, results from this study may not be applicable to other women more than 3 yr after menopause. Second, as noted previously, it was unclear (pill counts were not performed) what percentage of women receiving HRT in this trial was not compliant with the regimen. Suppression of FSH levels can be useful in determining which women are taking HRT, but changes in FSH concentrations did not predict the skeletal response to HRT in this study or in other earlier studies. Third, during the course of the study there was significant intrasubject variability. However, a 20–25% coefficient of variation for NTx (Osteomark) and fDpd (Pyrilinks-D) in an individual subject is not unexpected and is similar to reports in other studies (5, 13, 14, 15, 18). This variability almost certainly relates to fluctuations in creatinine excretion as well as biological variation. However, when subjects’ coefficient of variation were compared to the percent change in the markers after the initiation of HRT, the mean change in NTx due to therapy was always greater than the biological variability, even at the early time points. This was not the case for fDpd. As an example, after 1 month of HRT, the mean percent change in NTx was -28% compared to the mean change in fDpd of -10%. After 6 months, the mean change in NTx was -42% compared to that in fDpd, which was -22%. Finally, it should be noted that women recruited for this study were healthy and were not overtly osteoporotic (mean T scores in spine and hip were normal). Therefore, it is unclear if the same degree of estrogen resistance or skeletal responsiveness to calcium supplementation would be seen in women suffering from postmenopausal osteoporosis.

In conclusion, we have demonstrated that biochemical markers of bone turnover can be used to determine skeletal responsiveness to HRT, and that select baseline biochemical markers in postmenopausal women provide clinically useful information about future changes in bone mass after therapeutic intervention. From this study, urinary NTx and serum OC provided the greatest sensitivity and specificity for change in bone density with either calcium supplementation or HRT. Confirmation of these data by other longitudinal studies will lead to greater utilization of selected biochemical markers of remodeling in conjunction with bone mass measurements to guide clinical decision making for postmenopausal women.


    Conflict of Interest
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 
Nancy Mallinak is employed by Ostex International. Dr. Charles Chestnut is Chairman of the Scientific Advisory Board of Ostex. Dr. Rosen does not receive any financial support or hold stock in Ostex International, Johnson and Johnson, or other manufacturers of biochemical markers.


    Acknowledgments
 
The authors wish to acknowledge Ms. Mary Pettinger for her statistical analysis, and Ms. Barbara Kershner of the Maine Center for Osetoporosis Research and Education for her preparation of the manuscript.


    Footnotes
 
1 This work was supported by a grant to eight investigators from Ostex (Seattle, WA) as well as the St. Joseph Healthcare Foundation. Back

Received January 22, 1997.

Revised February 27, 1997.

Accepted March 5, 1997.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Conflict of Interest
 References
 

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  9. Seyedin SM, Kung VT, Daniloff YN. 1993 Immunoassay for urinary pyridinoline: the new marker of bone resorption. J Bone Miner Res. 8:635–641.[Medline]
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