Your activity: 26 p.v.
your limit has been reached. plz Donate us to allow your ip full access, Email: sshnevis@outlook.com

Use of biochemical markers of bone turnover in osteoporosis

Use of biochemical markers of bone turnover in osteoporosis
Author:
Harold N Rosen, MD
Section Editor:
Clifford J Rosen, MD
Deputy Editor:
Katya Rubinow, MD
Literature review current through: Dec 2022. | This topic last updated: Nov 09, 2021.

INTRODUCTION — In adults, bone is constantly being remodeled, first being broken down (bone resorption) and then being rebuilt (bone formation). The resorption and reformation of bone is important for repair of microfractures and to allow modification of structure in response to stress and other biomechanical forces. Bone formation is normally tightly coupled to bone resorption, so that bone mass does not change. Bone diseases occur when formation and resorption are uncoupled.

Several assays are available that measure bone turnover markers (BTMs). These assays measure collagen breakdown products and other molecules released from osteoclasts and osteoblasts during the process of bone resorption and formation. Markers that are specific to bone formation include bone-specific alkaline phosphatase (BSAP), osteocalcin, and N-terminal propeptide of type I procollagen (PINP); markers specific to bone resorption include N-terminal telopeptide of type I collagen (NTX), C-terminal telopeptide of type I collagen (CTX), and pyridinoline cross-links (table 1).

The use of BTMs in clinical trials has been helpful in understanding the mechanism of action of therapeutic agents. However, their role in the care of individual patients is not well established. Biologic and laboratory variability in BTM values has confounded their widespread use in clinical practice (table 2).

This topic will review issues surrounding the clinical use of biochemical BTMs. The physiology of BTMs, their relationship to the process of bone remodeling, and their use in other bone disorders are reviewed separately. (See "Bone physiology and biochemical markers of bone turnover" and "Osteoporosis in patients with chronic kidney disease: Diagnosis and evaluation", section on 'Bone-specific alkaline phosphatase' and "Investigational biologic markers in the diagnosis and assessment of rheumatoid arthritis", section on 'Bone-specific markers' and "Clinical manifestations and diagnosis of Paget disease of bone", section on 'Role of biochemical studies'.)

GENERAL PRINCIPLES — The measurement of bone turnover markers (BTMs) is complicated by large, random, within-patient variability; biologic variability (age, sex, body mass index [BMI], circadian, and menstrual variation); and poor standardization of most assays (table 2) [1,2]. These issues have confounded their widespread use in clinical practice. However, some clinical assays are now automated. In 2012, the National Bone Health Alliance (NBHA) initiated a project to standardize BTM sample collection procedures in the United States and to establish a reference range of serum N-terminal propeptide of type I procollagen (PINP, bone formation) and serum C-terminal telopeptide of type I collagen (CTX, bone resorption), which are the markers that they, the International Osteoporosis Foundation (IOF), and the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) identified as most promising for clinical use [3,4]. This project is ongoing.

In the interim, if biochemical BTMs are used in clinical practice (eg, to monitor osteoporosis therapy), we suggest using BTMs that can be measured using automated technology and that have relatively small spontaneous variability, such as serum PINP, CTX, or urinary N-terminal telopeptide of type I collagen (NTX). Bone-specific alkaline phosphatase (BSAP) is also an option in patients without severe liver disease [5]. Baseline and post-treatment serum samples should be obtained under standardized conditions (fasting morning sample) and sent to the same laboratory [4,6,7]. Urinary collections should also be standardized (fasting second morning void is most common). (See 'Monitoring response' below.)

Each of the BTMs demonstrates different responses to treatment, such that the anticipated reduction varies for each marker. For an observed change in BTM to be clinically meaningful, it must exceed the least significant change, defined as a change that is 2.8 times the precision error for the assay. For urinary excretion of NTX, an approximately 50 percent decline is predictive of improvement in bone mineral density (BMD) and fracture risk [8-10]. For serum CTX, PINP, and BSAP, a 30 percent decline is similarly predictive [11-13]. (See "Bone physiology and biochemical markers of bone turnover".)

BONE LOSS AND FRACTURE RISK — Biochemical markers of bone turnover (BTMs) are predictive of the rate of bone loss and, in some studies, risk of fracture [4]. However, there is no role for BTMs in selecting candidates for bone density testing or for osteoporosis therapy. The decision to measure bone density should be based upon age and the presence of clinical risk factors for fracture. Similarly, the decision to treat patients should be based upon fracture risk assessment using bone mineral density (BMD) and clinical risk factors. (See "Osteoporotic fracture risk assessment" and "Overview of the management of osteoporosis in postmenopausal women", section on 'Patient selection' and "Treatment of osteoporosis in men", section on 'Candidates for therapy' and "Screening for osteoporosis in postmenopausal women and men", section on 'Candidates for BMD testing'.)

Bone density measurements at any skeletal site and with a variety of technologies can predict fracture risk [14]. However, a single measurement indicates only current density, not the anticipated rate of bone loss. Patients with a given bone density who are losing bone more rapidly will have a higher fracture risk.

Several studies have demonstrated that BTMs may be useful in populations in predicting rates of bone loss (figure 1) [15-21]. As examples:

In a prospective cohort study of 1044 older women, subjects with the highest BTMs over five years suffered the greatest bone loss [21].

In the control arm of a trial of 236 postmenopausal women randomly assigned to postmenopausal hormone therapy and calcium versus calcium alone (control), women with the highest quartile value of N-terminal telopeptide of type I collagen (NTX) throughout the study had the greatest bone loss compared with women with the lowest quartile value [17].

In a subset of 682 men participating in the Osteoporotic Fractures in Men (MrOS) study, higher baseline levels of bone turnover (N-terminal propeptide of type I procollagen [PINP], beta C-terminal telopeptide of type I collagen [betaCTX], and tartrate-resistant acid phosphatase 5b [TRACP5b]) were associated with greater hip bone loss over five years of follow-up [22].

In addition, several [23-30], but not all [22,31-33], studies have shown that elevated BTMs are associated with increased risk of vertebral and nonvertebral fracture in older individuals, independent of BMD. As examples:

In the Epidemiology of Osteoporosis (EPIDOS) study, older women with urinary C-terminal telopeptide of type I collagen (CTX) or free deoxypyridinoline (DPD) excretion above the normal limits for young women had twice the risk of hip fracture as compared with other women (figure 2) [24].

Among osteopenic women followed in the Os des Femmes de Lyon (OFELY) prospective cohort study, low BMD, increased BTMs (bone-specific alkaline phosphatase [BSAP]), and prior fracture were independently associated with an increased fracture risk [28].

In contrast, in a subset of placebo patients in the Multiple Outcomes of Raloxifene Evaluation (MORE) study, none of the BTMs (BSAP, osteocalcin, or urinary CTX) that were measured influenced fracture risk [31].

Although most epidemiologic studies show that BTMs are an independent risk factor for fracture, for a given BTM value, individual rates of bone loss and fracture are variable, limiting the usefulness of BTMs in predicting an individual's fracture risk.

OSTEOPOROSIS THERAPY — We do not routinely measure bone turnover markers (BTMs) in patients initiating osteoporosis therapy. However, for individual patients (eg, patients with conditions that might interfere with drug absorption or efficacy or patients who are reluctant to take anti-osteoporosis medications regularly), we sometimes measure fasting urinary N-terminal telopeptide of type I collagen (NTX), serum C-terminal telopeptide of type I collagen (CTX), or serum N-terminal propeptide of type I procollagen (PINP) before and three to six months after starting bisphosphonates or other antiresorptive therapy. A 50 or 30 percent reduction in urinary NTX excretion or serum CTX, respectively, provides evidence of compliance and drug efficacy. (See 'Monitoring response' below.)

Effect of osteoporosis therapy — BTMs typically show large and rapid responses to osteoporosis treatments. The effect of osteoporosis therapy on BTMs depends upon the mechanism of action of the specific therapy. Antiresorptive agents, such as bisphosphonates, cause a rapid decrease in markers of bone resorption, followed shortly thereafter by a decrease in bone formation markers [4]. In contrast, anabolic agents, such as recombinant human parathyroid hormone (rhPTH), cause a rapid increase in bone formation markers, followed by an increase in markers of bone resorption.

Several trials have shown an association between the decrease in BTMs after initiation of antiresorptive therapy and long-term antifracture efficacy [8,11,34-38]. As examples:

In a post hoc analysis of the Fracture Intervention Trial (FIT), the greater the decline in bone-specific alkaline phosphatase (BSAP) and PINP after initiation of alendronate, the greater the reduction in spine and hip fracture [11].

In the Multiple Outcomes of Raloxifene Evaluation (MORE) trial, fracture risk reduction with raloxifene therapy correlated better with changes in BTMs than with improvements in bone mineral density (BMD) [34,35].

In risedronate vertebral fracture trials, the greatest decrease in fracture risk was among subjects with a decrease in urine NTX of more than 40 percent and urine CTX of more than 60 percent [8]. In a subsequent analysis of the same data, measurement of a single urine CTX value while taking risedronate was predictive of fracture reduction [36]. CTX values less than or equal to the mean for premenopausal women were associated with the lowest fracture risk, and further suppression of turnover did not result in further reduction of fracture risk.

Thus, a reduction in BTMs after initiation of antiresorptive therapy is associated with a decrease in fracture. However, the optimal threshold for each marker is not well established. Based upon the above trials, a successful reduction in BTMs could be defined as an approximately 50 (urine markers) or 30 (serum markers) percent decline, or as reducing the BTM to within the lower one-half of the reference range for premenopausal women [8,36].

This approach (evaluating a reduction in BTMs) is only useful with antiresorptive therapy, not with rhPTH (markers would increase). An increase in markers of bone formation (C-terminal propeptide of type I procollagen [PICP] and BSAP) one month after initiation of PTH has been associated with improvement in bone structure [39].

There are no data on long-term outcomes when BTMs are decreased below the reference interval. Some investigators have hypothesized that such oversuppression of bone turnover may interfere with normal repair of microdamage and increased skeletal fragility. This topic is reviewed elsewhere. (See "Risks of bisphosphonate therapy in patients with osteoporosis", section on 'Atypical femur fracture'.)

Improving compliance — Long-term compliance with anti-osteoporosis therapy is poor. There are some data to suggest that sharing results of BTMs with patients improves compliance with therapy [40-42]. In addition, there are occasionally patients with osteoporosis who have difficulty tolerating treatment or are reluctant to take treatment. In this population, measurement of a BTM that shows a value above the upper limits for premenopausal women puts such patients at especially high risk of bone loss and fracture, which might convince the reluctant patient that treatment is especially beneficial for them.

Monitoring response — For most patients initiating osteoporosis therapy, we do not measure BTMs. We perform a dual-energy x-ray absorptiometry (DXA) of the hip and spine after two years, and if BMD is stable or improved, less frequent monitoring thereafter. For the subset of patients with conditions that might interfere with drug absorption or efficacy or for patients who are reluctant to take anti-osteoporosis medications regularly, we sometimes measure fasting urinary NTX, serum CTX, or serum PINP before and three to six months after starting bisphosphonates or other antiresorptive therapy. A 50 or 30 percent reduction in urinary NTX excretion or serum CTX, respectively, provides evidence of compliance and drug efficacy [9,10,12,13]; in such patients, therapy should be continued for two years, when bone density can be measured again. Monitoring osteoporosis therapy is reviewed separately. (See "Overview of the management of osteoporosis in postmenopausal women", section on 'Monitoring'.)

While there are a number of approaches to monitoring the response to antiresorptive therapy, there is no consensus on the optimal approach, and there are no prospective trials to define how best to incorporate markers into monitoring strategies. Assessment of baseline and post-therapy BTMs may be useful for monitoring patients taking osteoporosis therapy for the following reasons:

The early change in BTMs following therapy has been shown to be predictive of improvement in BMD and antifracture efficacy

Demonstrating such changes reflects the degree of patient compliance and improves patient persistence with therapy

However, their role in monitoring osteoporosis therapy relies upon defining the threshold reduction in BTM to attain optimal treatment effects (ie, fracture reduction). Such thresholds are not universally accepted.

A less than 50 (NTX) or 30 (CTX, PINP) percent reduction may not necessarily indicate treatment failure, since many patients with small changes in turnover have stable BMD on treatment [9]. However, when this occurs, we question the patient about possible noncompliance or poor absorption (often related to an insufficient time interval between drug intake and food ingestion).

Duration of therapy — There is interest in using BTMs to determine whether or when patients should discontinue bisphosphonates and whether or when they should resume therapy, although there are no data to support this approach [38,43]. Nevertheless, some clinicians, including the author of this topic, follow BTMs after discontinuing bisphosphonates and restart when the BTM is in the midrange of young adults [44] or more than 20 percent above the mean premenopausal level [45]. While this approach makes physiological sense, in the absence of supporting evidence, other UpToDate editors do not advocate using BTMs to determine whether to discontinue bisphosphonate therapy or whether or when to restart it.

There is no consensus on how long to continue bisphosphonate therapy. However, for some patients, stopping therapy after five years may be reasonable as there appears to be a residual benefit on BMD and fracture reduction for up to five years after discontinuation. (See "Bisphosphonate therapy for the treatment of osteoporosis", section on 'Duration of therapy'.)

Dental procedures — Until there are data supporting the ability of serum CTX to predict osteonecrosis of the jaw (ONJ), we do not recommend using serum CTX to determine whether it is safe to have an invasive dental procedure.

Some oral surgeons have proposed using a serum CTX level to assess risk and guide treatment of patients who are taking bisphosphonates and require invasive dental procedures [46]. They assign risk based upon CTX criteria and recommend withholding invasive dental procedures when the value is below a certain threshold. The CTX threshold was derived from 17 patients who developed ONJ while taking bisphosphonates. However, they did not measure CTX in a control group of unaffected bisphosphonate-treated individuals. Because bisphosphonates suppress bone resorption (which is why they are efficacious in reducing fracture), BTMs, including CTX, are reduced in patients taking bisphosphonates, and the vast majority of these patients do not get ONJ. It is impossible to identify a particular CTX level at which the risk of ONJ increases without also measuring CTX in a large cohort of bisphosphonate-treated individuals without ONJ [47,48].

GUIDELINES — The use of biochemical markers of bone turnover (BTMs) for managing osteoporosis is not a central component of most osteoporosis guidelines. When BTMs are addressed, guideline committees typically recommend against their routine use, due to the limitations of measuring and interpreting BTMs in individual patients [4,49,50] (see 'General principles' above). Most committees agree that a potential role of BTMs is monitoring osteoporosis therapy to identify nonresponders. However, prospective trials to define the most optimal approach for incorporating markers into management strategies are needed.

SUMMARY AND RECOMMENDATIONS

Several assays are available that measure bone turnover markers (BTMs). These assays measure collagen breakdown products and other molecules released from osteoclasts and osteoblasts during the process of bone resorption and formation. Markers that are specific to bone formation include bone-specific alkaline phosphatase (BSAP), osteocalcin, and N-terminal propeptide of type I procollagen (PINP), whereas markers specific to bone resorption include N-terminal telopeptide of type I collagen (NTX), C-terminal telopeptide of type I collagen (CTX), and pyridinoline cross-links (table 1). (See 'Introduction' above.)

While the use of biochemical BTMs in clinical trials has been helpful in understanding the mechanism of action of therapeutic agents, their role in the care of individual patients is not well established. The measurement of BTMs is complicated by large, random, within-patient variability; biologic variability (age, sex, body mass index [BMI], circadian, and menstrual variation); and poor standardization of most assays (table 2). These issues have confounded their widespread use in clinical practice. (See 'General principles' above.)

BTMs are predictive of the rate of bone loss and, in some studies, risk of fracture. However, there is no role for BTMs in selecting candidates for bone density testing or for osteoporosis therapy. (See 'Bone loss and fracture risk' above.)

We do not routinely measure BTMs in patients initiating osteoporosis therapy. However, for individual patients (eg, patients with conditions that might interfere with drug absorption or efficacy or patients who are reluctant to take anti-osteoporosis medications regularly), we sometimes measure fasting urinary NTX, serum CTX, or serum PINP before and three to six months after starting bisphosphonates or other antiresorptive therapy. A 50 or 30 percent reduction in urinary NTX excretion or serum CTX, respectively, provides evidence of compliance and drug efficacy. (See 'Monitoring response' above and "Overview of the management of osteoporosis in postmenopausal women", section on 'Monitoring'.)

This approach (with markers of bone resorption) is only useful with antiresorptive therapy, not with recombinant parathyroid hormone (rhPTH) (markers would increase).

If BTMs are used to monitor osteoporosis therapy, we suggest using BTMs that can be measured using automated technology and that have relatively small spontaneous variability, such as serum PINP, CTX, or urinary NTX (table 2). (See 'General principles' above.)

There are insufficient data to support the use of BTMs for deciding whether or when to discontinue bisphosphonate therapy or whether or when to restart it, or for the assessment of risk (osteonecrosis of the jaw [ONJ]) in bisphosphonate-treated patients undergoing invasive dental procedures. (See 'Duration of therapy' above and 'Dental procedures' above.)

  1. Hlaing TT, Compston JE. Biochemical markers of bone turnover - uses and limitations. Ann Clin Biochem 2014; 51:189.
  2. Bell KJ, Hayen A, Irwig L, et al. The potential value of monitoring bone turnover markers among women on alendronate. J Bone Miner Res 2012; 27:195.
  3. Bauer D, Krege J, Lane N, et al. National Bone Health Alliance Bone Turnover Marker Project: current practices and the need for US harmonization, standardization, and common reference ranges. Osteoporos Int 2012; 23:2425.
  4. Vasikaran S, Eastell R, Bruyère O, et al. Markers of bone turnover for the prediction of fracture risk and monitoring of osteoporosis treatment: a need for international reference standards. Osteoporos Int 2011; 22:391.
  5. González-Calvin JL, Mundi JL, Casado-Caballero FJ, et al. Bone mineral density and serum levels of soluble tumor necrosis factors, estradiol, and osteoprotegerin in postmenopausal women with cirrhosis after viral hepatitis. J Clin Endocrinol Metab 2009; 94:4844.
  6. Qvist P, Christgau S, Pedersen BJ, et al. Circadian variation in the serum concentration of C-terminal telopeptide of type I collagen (serum CTx): effects of gender, age, menopausal status, posture, daylight, serum cortisol, and fasting. Bone 2002; 31:57.
  7. Schlemmer A, Hassager C. Acute fasting diminishes the circadian rhythm of biochemical markers of bone resorption. Eur J Endocrinol 1999; 140:332.
  8. Eastell R, Barton I, Hannon RA, et al. Relationship of early changes in bone resorption to the reduction in fracture risk with risedronate. J Bone Miner Res 2003; 18:1051.
  9. Ravn P, Hosking D, Thompson D, et al. Monitoring of alendronate treatment and prediction of effect on bone mass by biochemical markers in the early postmenopausal intervention cohort study. J Clin Endocrinol Metab 1999; 84:2363.
  10. Rosen HN, Moses AC, Garber J, et al. Utility of biochemical markers of bone turnover in the follow-up of patients treated with bisphosphonates. Calcif Tissue Int 1998; 63:363.
  11. Bauer DC, Black DM, Garnero P, et al. Change in bone turnover and hip, non-spine, and vertebral fracture in alendronate-treated women: the fracture intervention trial. J Bone Miner Res 2004; 19:1250.
  12. Rosen HN, Moses AC, Garber J, et al. Serum CTX: a new marker of bone resorption that shows treatment effect more often than other markers because of low coefficient of variability and large changes with bisphosphonate therapy. Calcif Tissue Int 2000; 66:100.
  13. Christgau S, Rosenquist C, Alexandersen P, et al. Clinical evaluation of the Serum CrossLaps One Step ELISA, a new assay measuring the serum concentration of bone-derived degradation products of type I collagen C-telopeptides. Clin Chem 1998; 44:2290.
  14. Marshall D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 1996; 312:1254.
  15. Johansen JS, Riis BJ, Delmas PD, Christiansen C. Plasma BGP: an indicator of spontaneous bone loss and of the effect of oestrogen treatment in postmenopausal women. Eur J Clin Invest 1988; 18:191.
  16. Bonde M, Qvist P, Fledelius C, et al. Applications of an enzyme immunoassay for a new marker of bone resorption (CrossLaps): follow-up on hormone replacement therapy and osteoporosis risk assessment. J Clin Endocrinol Metab 1995; 80:864.
  17. Chesnut CH 3rd, Bell NH, Clark GS, et al. Hormone replacement therapy in postmenopausal women: urinary N-telopeptide of type I collagen monitors therapeutic effect and predicts response of bone mineral density. Am J Med 1997; 102:29.
  18. Bauer DC, Sklarin PM, Stone KL, et al. Biochemical markers of bone turnover and prediction of hip bone loss in older women: the study of osteoporotic fractures. J Bone Miner Res 1999; 14:1404.
  19. Ross PD, Knowlton W. Rapid bone loss is associated with increased levels of biochemical markers. J Bone Miner Res 1998; 13:297.
  20. Chaki O, Yoshikata I, Kikuchi R, et al. The predictive value of biochemical markers of bone turnover for bone mineral density in postmenopausal Japanese women. J Bone Miner Res 2000; 15:1537.
  21. Ivaska KK, Lenora J, Gerdhem P, et al. Serial assessment of serum bone metabolism markers identifies women with the highest rate of bone loss and osteoporosis risk. J Clin Endocrinol Metab 2008; 93:2622.
  22. Bauer DC, Garnero P, Harrison SL, et al. Biochemical markers of bone turnover, hip bone loss, and fracture in older men: the MrOS study. J Bone Miner Res 2009; 24:2032.
  23. van Daele PL, Seibel MJ, Burger H, et al. Case-control analysis of bone resorption markers, disability, and hip fracture risk: the Rotterdam study. BMJ 1996; 312:482.
  24. Garnero P, Hausherr E, Chapuy MC, et al. Markers of bone resorption predict hip fracture in elderly women: the EPIDOS Prospective Study. J Bone Miner Res 1996; 11:1531.
  25. Garnero P, Sornay-Rendu E, Claustrat B, Delmas PD. Biochemical markers of bone turnover, endogenous hormones and the risk of fractures in postmenopausal women: the OFELY study. J Bone Miner Res 2000; 15:1526.
  26. Gerdhem P, Ivaska KK, Alatalo SL, et al. Biochemical markers of bone metabolism and prediction of fracture in elderly women. J Bone Miner Res 2004; 19:386.
  27. Delmas PD, Licata AA, Reginster JY, et al. Fracture risk reduction during treatment with teriparatide is independent of pretreatment bone turnover. Bone 2006; 39:237.
  28. Sornay-Rendu E, Munoz F, Garnero P, et al. Identification of osteopenic women at high risk of fracture: the OFELY study. J Bone Miner Res 2005; 20:1813.
  29. Meier C, Nguyen TV, Center JR, et al. Bone resorption and osteoporotic fractures in elderly men: the dubbo osteoporosis epidemiology study. J Bone Miner Res 2005; 20:579.
  30. Ivaska KK, Gerdhem P, Väänänen HK, et al. Bone turnover markers and prediction of fracture: a prospective follow-up study of 1040 elderly women for a mean of 9 years. J Bone Miner Res 2010; 25:393.
  31. Johnell O, Kanis JA, Black DM, et al. Associations between baseline risk factors and vertebral fracture risk in the Multiple Outcomes of Raloxifene Evaluation (MORE) Study. J Bone Miner Res 2004; 19:764.
  32. Melton LJ 3rd, Crowson CS, O'Fallon WM, et al. Relative contributions of bone density, bone turnover, and clinical risk factors to long-term fracture prediction. J Bone Miner Res 2003; 18:312.
  33. Crandall CJ, Vasan S, LaCroix A, et al. Bone Turnover Markers Are Not Associated With Hip Fracture Risk: A Case-Control Study in the Women's Health Initiative. J Bone Miner Res 2018; 33:1199.
  34. Bjarnason NH, Sarkar S, Duong T, et al. Six and twelve month changes in bone turnover are related to reduction in vertebral fracture risk during 3 years of raloxifene treatment in postmenopausal osteoporosis. Osteoporos Int 2001; 12:922.
  35. Sarkar S, Reginster JY, Crans GG, et al. Relationship between changes in biochemical markers of bone turnover and BMD to predict vertebral fracture risk. J Bone Miner Res 2004; 19:394.
  36. Eastell R, Hannon RA, Garnero P, et al. Relationship of early changes in bone resorption to the reduction in fracture risk with risedronate: review of statistical analysis. J Bone Miner Res 2007; 22:1656.
  37. Reginster JY, Sarkar S, Zegels B, et al. Reduction in PINP, a marker of bone metabolism, with raloxifene treatment and its relationship with vertebral fracture risk. Bone 2004; 34:344.
  38. Bauer DC. Clinical Use of Bone Turnover Markers. JAMA 2019; 322:569.
  39. Dobnig H, Sipos A, Jiang Y, et al. Early changes in biochemical markers of bone formation correlate with improvements in bone structure during teriparatide therapy. J Clin Endocrinol Metab 2005; 90:3970.
  40. Clowes JA, Peel NF, Eastell R. The impact of monitoring on adherence and persistence with antiresorptive treatment for postmenopausal osteoporosis: a randomized controlled trial. J Clin Endocrinol Metab 2004; 89:1117.
  41. Delmas PD, Vrijens B, Eastell R, et al. Effect of monitoring bone turnover markers on persistence with risedronate treatment of postmenopausal osteoporosis. J Clin Endocrinol Metab 2007; 92:1296.
  42. Halasi A, Kincse G, Varga J, et al. Tight control: a new therapeutic strategy in the management of osteoporotic patients. Osteoporos Int 2018; 29:2677.
  43. Bauer DC, Schwartz A, Palermo L, et al. Fracture prediction after discontinuation of 4 to 5 years of alendronate therapy: the FLEX study. JAMA Intern Med 2014; 174:1126.
  44. Khosla S, Bilezikian JP, Dempster DW, et al. Benefits and risks of bisphosphonate therapy for osteoporosis. J Clin Endocrinol Metab 2012; 97:2272.
  45. Singer FR, Eyre DR. Using biochemical markers of bone turnover in clinical practice. Cleve Clin J Med 2008; 75:739.
  46. Marx RE, Cillo JE Jr, Ulloa JJ. Oral bisphosphonate-induced osteonecrosis: risk factors, prediction of risk using serum CTX testing, prevention, and treatment. J Oral Maxillofac Surg 2007; 65:2397.
  47. American Society for Bone and Mineral Research Task Force on Osteonecrosis of the Jaw, Khosla S, Burr D, et al. Oral bisphosphonate-induced osteonecrosis: risk factors, prediction of risk using serum CTX testing, prevention, and treatment. J Oral Maxillofac Surg 2008; 66:1320.
  48. Baim S, Miller PD. Assessing the clinical utility of serum CTX in postmenopausal osteoporosis and its use in predicting risk of osteonecrosis of the jaw. J Bone Miner Res 2009; 24:561.
  49. 2013 Clinician's Guide to Prevention and Treatment of Osteoporosis http://nof.org/files/nof/public/content/resource/913/files/580.pdf (Accessed on February 14, 2014).
  50. Lee J, Vasikaran S. Current recommendations for laboratory testing and use of bone turnover markers in management of osteoporosis. Ann Lab Med 2012; 32:105.
Topic 2041 Version 16.0

References