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Original Issue Date (Created): July 10, 2002 Most Recent Review Date (Revised): July 22, 2014 Effective Date: October 1, 2014 POLICY PRODUCT VARIATIONS DESCRIPTION/BACKGROUND RATIONALE DEFINITIONS BENEFIT VARIATIONS DISCLAIMER CODING INFORMATION REFERENCES POLICY HISTORY I. POLICY Collagen cross links as measurements of bone turnover may be considered medically necessary for the evaluation of patients on bisphosphonates at risk for osteonecrosis of the jaw who are planning for dental or oral surgery procedures. Measurement of bone turnover markers is considered investigational in the diagnosis and management of osteoporosis. There is insufficient evidence to support a conclusion concerning the health outcomes or benefits associated with this procedure. Measurement of bone turnover markers is considered investigational in the management of patients with conditions associated with high rates of bone turnover, including but not limited to Paget s disease, primary hyperparathyroidism and renal osteodystrophy. There is insufficient evidence to support a conclusion concerning the health outcomes or benefits associated with this procedure. Cross-reference: MP-2.131 Ibandronate (Boniva ) Injection MP-2.142 Pamidronate (Aredia ) MP-5.001 Bone Mineral Density Studies MP-2.143 Zoledronic Acid (Reclast, Zometa ) MP-5.037 Whole Body Dual X-ray Absorptiometry to Determine Body Composition MP-2.157 Denosumab (Xgeva ) MP-2.152 Denosumab (Prolia ) Page 1

II. PRODUCT VARIATIONS TOP [N] = No product variation, policy applies as stated [Y] = Standard product coverage varies from application of this policy, see below [N] Capital Cares 4 Kids [N] PPO [N] HMO [N] Indemnity [N] SpecialCare [N] POS [Y] SeniorBlue HMO** [Y] SeniorBlue PPO** [Y] FEP PPO* *Refer to FEP Medical Policy Manual MP-2.04.15 Bone Turnover Markers for Diagnoses and Management of Osteoporosis. The FEP Medical Policy manual can be found at: www.fepblue.org **Refer to Centers for Medicare and Medicaid (CMS) National Coverage Determination (NCD) 190.19 Collagen Crosslinks. NOTE: The CMS NCD identifies a set of clinical conditions for which collagen cross-links would be considered eligible for coverage. The CMS NCD is limited to urine-based collagen cross-link tests and does not address serum-based collagen cross-link tests. III. DESCRIPTION/BACKGROUND TOP Bone turnover markers are biochemical markers of either bone formation or bone resorption. Commercially available tests are available to assess some of these markers in urine and/or serum by high performance liquid chromatography (HPLC) or immunoassay. Assessment of bone turnover markers is proposed to supplement bone mineral density (BMD) measurement in the diagnosis of osteoporosis and aid in treatment decisions. Bone turnover markers could also potentially be used to evaluate treatment effectiveness before changes in BMD can be observed. After cessation of growth, bone is in a constant state of remodeling (or turnover), with initial absorption of bone by osteoclasts followed by deposition of new bone matrix by osteoblasts. This constant bone turnover is critical to the overall health of the bone, by repairing microfractures and remodeling the bony architecture in response to stress. Normally, the action of osteoclasts and osteoblasts is balanced, but bone loss occurs if the 2 processes become uncoupled. Bone turnover markers can be categorized as bone formation markers or bone Page 2

resorption markers and can be identified in serum and/or urine. The table summarizes the various bone-turnover markers. Formation Markers Serum osteocalcin (OC) Serum total alkaline phosphatase (ALP) Serum bone specific alkaline phosphatase (B-ALP) Serum procollagen I carboxyterminal propeptide (PICP) Serum procollagen type 1 N- terminal propeptide (PINP) Bone sialoprotein Resorption Markers Serum and urinary hydroxyproline (Hyp) Urinary total pyridinoline (Pyr) Urinary total deoxypyridinoline (d-pyr) Urinary-free pyridinoline (f-pyr, also known as Pyrilinks ) Urinary-free deoxypyridinoline (f-dpyr, also known as Pyrilinks-D ) Serum and urinary collagen type I cross-linked N- telopeptide (NTx, also referred to as Osteomark) Serum and urinary collagen type I cross-linked C- telopeptide (CTx, also referred to as Cross Laps ) Serum carboxyterminal telopeptide of type I collagen (ITCP) Tartrate-resistant acid phosphatase (TRAP or TRACP) There has been recent interest in the use of bone turnover markers to evaluate age-related osteoporosis, a disease characterized by slow, prolonged bone loss, resulting in an increased risk of fractures at the hip, spine, or wrist. Currently, fracture risk is primarily based on measurements of bone mineral density (BMD) in conjunction with other genetic and environmental factors, such as family history of osteoporosis, history of smoking, and weight. It is thought that the level of bone turnover markers may also predict fracture risk, possibly through a different mechanism than that associated with BMD. However, it must be emphasized that the presence of bone turnover markers in the serum or urine is not necessarily related to bone loss. For example, even if bone turnover is high, if resorption is balanced with formation, there will be no net bone loss. Bone loss will only occur if resorption exceeds formation. Therefore, bone turnover markers have been primarily studied as an adjunct, not an alternative, to measurements of BMD to estimate fracture risk and document the need for preventive or therapeutic strategies for osteoporosis. In addition, bone turnover markers might provide a more immediate assessment of treatment response and predict change in BMD in response to Page 3

treatment. Treatment-related changes in BMD occur very slowly. This fact, coupled with the precision of BMD technologies, suggested that clinically significant changes in BMD could not be reliably detected until at least 2 years. In contrast, changes in bone turnover markers could be anticipated after 3 months of therapy. In addition, bone turnover markers have been researched in diseases associated with markedly high levels of bone turnover, such as Paget s disease, primary hyperparathyroidism, and renal osteodystrophy. Collagen cross-links are generally reliable markers of bone resorption because they are stable in serum and urine. These marker links bind 3 molecules of collagen in the bone and are released from the bone matrix after resorption, either free or bound to the N- or C-telopeptide of collagen. Collagen cross-links may be detected using either HPLC (Pyr and d-pyr) or immunoassays (Pyr, d-pyr, CTx, NTx). In addition to collagen cross-links, alkaline phosphatase (ALP) is a commonly used marker due to its ease of measurement; however, it lacks sensitivity and specificity for detecting osteoporosis, since only about half of the ALP activity is derived from bone. Bone-specific alkaline phosphatase (B-ALP) is a better marker of bone formation than ALP. Serum osteocalcin is a small noncollagenous protein that is a product of osteoblasts and thus increased levels reflect bone formation. Tartrate-resistant acid phosphatase (TRAP) is produced by osteoclasts; it is thought to be active in bone matrix degradation. Several tests for bone turnover markers have been cleared by the U.S. Food and Drug Administration (FDA) using the 510(k) process. Collagen cross-links tests: 1995: Pyrilinks test (Metra Biosystems, Santa Clara, CA) measures collagen type 1 cross-link, pyridinium 1996: Osteomark test (Ostex International, Seattle, WA) measures cross-linked N-telopeptides of type 1 collagen (NTx) 1999: Serum Crosslaps One-step ELISA test measures hydroxyproline Other bone turnover tests: 2000: Ostase (Beckman Coulter) measures bone-specific alkaline phosphatase (B-ALP) 2001: N-MID Osteocalcin One-Step ELISA (Osteometer Bio Tech) measures osteocalcin (OC) This policy does not address the use of bone turnover markers with conditions such as hyperparathyroidism and renal osteodystrophy Page 4

IV. RATIONALE TOP In general, to be considered clinically useful, studies need to demonstrate that tests for bone turnover markers are accurate and reliable and that their use can result in improved health outcomes. For example, to evaluate their utility for diagnosing osteoporosis as an adjunct to bone mineral density (BMD) measurements with dual energy x-ray absorptiometry (DEXA), studies would moreover need to show that bone turnover markers independently predict fracture risk beyond BMD and that the additional information provided by information on bone turnover has the potential to influence treatment decisions and clinical outcomes. Similarly, to be considered useful for monitoring osteoporosis treatment beyond follow-up BMD measurements, bone turnover test results would need to impact the decision to continue or change treatment in a way that leads to improved patient outcomes. Diagnosis and management of osteoporosis Do bone turnover markers independently predict fracture risk beyond bone mineral density measurements? A systematic review published in 2012 by Biver and colleagues reviewed the literature on bone turnover markers for diagnosing osteoporosis and predicting fracture risk. (1) To be included in the review, studies needed to report at least one bone turnover marker and report either BMD or fracture assessment. The investigators did not limit their review to particular types of study design; they identified 105 reports on women and 18 reports on men. In postmenopausal women, the markers that have been studied the most, and also have the strongest negative correlations with BMD, are alkaline phosphatase (ALP), osteocalcin (OC), type 1 cross-linked C-telopeptide (CTx), and type 1 cross-linked N-telopeptide (NTx). The investigators addressed the issue of the potential association between bone turnover markers and prevalent asymptomatic vertebral fractures. A pooled analysis was conducted only for the marker osteocalcin (OC). When findings from 3 studies were pooled, there was not a statistically significant mean difference in OC levels in patients with and without vertebral fractures (1.61 ng/ml, 95% confidence interval [CI]: -0.59 to 3.81). The authors also reported that bone turnover markers were not able to reliably distinguish primary osteoporosis from secondary causes. There was a high degree of heterogeneity among the published studies included in this review. According to these data, the clinical usefulness of bone turnover markers for diagnosing osteoporosis is low due to patient variability and other factors that can influence bone turnover marker levels. A second systematic review by the same research group, published in 2012, included an evaluation of the literature on the association between bone turnover markers and subsequent risk of fracture in postmenopausal women. (2) The authors did not conduct any pooled analyses of study findings. Based on their review of observational data, they concluded that bone turnover markers have a modest positive correlation with fractures and can be considered independent risk factors for future fracture risk. The authors also noted, however, that there is a large degree of variability in the literature. In addition, there is a lack of standardized Page 5

measures and optimal cutoffs for bone turnover markers, and as a result, it is difficult to use bone turnover markers to make practical treatment decisions in clinical care. A key study conducted in men was published in 2009. (3) This was a sub-analysis of prospectively-collected data from the Osteoporotic Fractures in Men (MrOS) study. Baseline levels of bone turnover markers were compared in 384 men, age 65 years or older, who had nonspine fractures over an average follow-up of 5 years to 885 men without nonspine fracture. A second analysis compared 72 hip fracture cases and 993 controls without hip fracture. After adjusting for age and recruitment site, the association between nonspine fracture and quartile of the bone turnover marker procollagen type 1 N-terminal propeptide (PINP) was statistically significant (for each analysis, p less than 0.05 was used). The associations between nonspine fracture and quartiles of the 2 other bone turnover markers, beta C-terminal crosslinked telopeptide of type 1 collagen (b-ctx) and tartrate-resistant acid phosphatase 5b (TRACP5b) were not statistically significant. Moreover, in the analysis adjusting only for age and recruitment site, when the highest quartile of bone turnover markers was compared to the lower 3 quartiles, the risk of nonspine and hip fractures was significantly increased for procollagen type 1 N-terminal propeptide (PINP) and b-ctx but not TRACP5b. After additional adjustment for baseline BMD, or baseline BMD and other potential confounders, there were no statistically significant relationships between any bone turnover marker and fracture risk. The authors concluded that their results do not support the routine use of bone turnover markers to assess fracture risk in older men when there is the option of measuring hip BMD. In 2013, Tamaki and colleagues in Japan published an analysis of data from the Japanese Population-based Osteoporosis (JPOS) study that focused on the ability of bone turnover markers to predict vertebral fracture risk in postmenopausal women. (4) The authors adjusted for BMD in their analyses. The study involved baseline surveys, bone turnover marker assessment and BMD measurements and 3 follow-ups over 10 years. At baseline, 851 women who participated were aged 50 years or older and were eligible for vertebral fracture assessment. Of these, 730 women had BMD measurements taken at the initial examination and at 1 or more follow-ups. Women with early menopause (i.e., younger than 40 years-old), with a history of illness or medication known to affect bone metabolism and with incomplete data were excluded. After exclusions, 522 women were included in the analysis. Over a median follow-up period of 10 years, 81 of 522 women (15.5%) were found on imaging to have an incident vertebral fracture. Seventy-eight of the 81 women with radiographically-detected vertebral fractures were more than 5 years from menopause at baseline. Risk of incident vertebral fractures adjusted for BMD T-scores was significantly associated with several bone turnover markers, specifically ALP, urinary total deoxypyridinoline (tdpd) and urinary free deoxypyridinoline (fdpd). For example, in a multivariate model adjusting for a variety of covariates including femoral neck BMD, the risk of developing a fracture per standard deviation (SD) of change in ALP was increased by 33% (Risk ratio 1.33, 95% CI: 1.06-1.66). Risk of incident vertebral fracture was not significantly associated with other bone turnover markers including OC and CTx. It is not clear how Page 6

generalizable findings from this study are; that is, the association between subsequent fracture risk and certain bone turnover markers, and the lack of association between fracture risk and other bone turnover markers. This study is also limited by the large number of women excluded from analysis due to incomplete data. Section Summary. Some studies have found statistically significant associations between bone turnover markers and fracture risk, but there is insufficient literature on any specific marker. For example, an analysis of MrOS data found a significant association between PINP and risk of nonspine fracture in men, and the JPOS study from Japan found a significant association between ALP, tdpd and fdpd and risk of incident vertebral fracture in women. A pooled analysis was performed only for osteocalcin, and this pooled analysis did not find a statistically significant association between osteocalcin levels and the rate of prevalent asymptomatic vertebral fractures. In order to conclude that any specific marker is an independent predictor of fracture risk, additional appropriately designed larger studies and/or pooled analyses of smaller studies are needed. Do bone turnover markers independently predict response to osteoporosis treatment? Studies have also examined the ability of bone turnover markers to evaluate response to osteoporosis treatment. For example, a subanalysis of the randomized Fracture Intervention Trial (n=6,184) by Bauer and colleagues found that pretreatment levels of the bone turnover marker PINP significantly predicted the antifracture efficacy of alendronate. (5) Over a mean follow-up of 3.2 years, there were 492 nonspine and 294 vertebral fractures. Compared to those in the placebo group, the efficacy of alendronate for reducing nonspine fractures was significantly greater in women who were in the highest tercile of PINP (>56.8 ng/ml) than those in the lowest tercile (<41.6 ng/ml). Baseline bone turnover rates were not associated with alendronate efficacy in reducing vertebral fractures. The authors indicated that this result needed confirmation in additional studies, and, even if verified, the impact on treatment recommendations is not clear. A small randomized trial of an osteoporosis treatment (n=43) found that urinary cross-linked N-terminal telopeptides provided a more sensitive measure of treatment response than serum levels. (6) Another small randomized trial from Japan measured levels of OC in response to osteoporosis treatment in 109 postmenopausal women. (7) The authors found that undercarboxylated osteocalcin (uc-oc) levels in serum were significantly lower at 1 month in the group receiving active treatment for osteoporosis compared to the control intervention; the implication for fracture prevention was not studied. A 2011 systematic review by Funck-Brentano and colleagues addressed the issue of whether early changes in serum biochemical bone turnover markers predict the efficacy of osteoporosis therapy. (8) Their review included 24 studies that presented correlations between bone turnover markers and the outcomes of fracture risk reduction or change in BMD. Five studies (including the Bauer study, described above) reported on fracture risk and 20 studies reported on BMD changes. The review authors discussed study findings qualitatively but did not pool study results. The evidence did not support a correlation between short-term changes in bone turnover markers and fracture risk reduction. In addition, few studies were available on this topic, leading to the conclusion that bone turnover markers have shown limited value as a Page 7

technique to monitor osteoporosis therapy. An additional study on this topic was published by Baxter and colleagues in 2013. (9) This was a retrospective review of data on 200 patients commencing treatment with bisphosphonates for osteoporosis or osteopenia requiring treatment. The investigators found statistically significant inverse correlation between change in urine NTx at 4 months and change in spine BMD at 18 months (Pearson s correlation [r]: 0.33, p<0.0001). There was not a significant association between change in urine NTx and hip BMD. Section Summary. The available evidence on the association between any specific bone turnover marker and response to osteoporosis treatment is limited in quantity and quality. While some individual studies have reported positive correlations for markers, such as PINP in the Fracture Intervention Trial, a body of evidence in support of any specific marker is lacking. Moreover, a systematic review in 2011 concluded that the evidence does not support an association. As a result, the evidence is insufficient to conclude whether bone turnover markers are an independent predictor of treatment response. Does information provided by bone turnover markers improve treatment decisions and/or improve health outcomes? In order to provide clinical utility, bone turnover markers would need to provide information beyond that offered by BMD measurements that has an impact on treatment decisions and/or leads to improved health outcomes. Bone turnover markers can be measured more frequently than BMD and thus could potentially provide information with clinical utility. For example, the 2013 guideline from the National Osteoporosis Foundation states that biochemical markers of bone turnover can be used to predict the extent of fracture risk reduction when measured 3-6 months after starting FDA-approved osteoporosis treatments. (10) Several randomized controlled trials (RCTs) have addressed the issue of whether measurement of bone turnover markers can improve adherence to oral bisphosphonate treatment. To date, these studies have not found that measurement of bone turnover markers and providing patients with this information improves medication adherence at 1 year. In 2012, Silverman and colleagues randomized 239 women with BMD at least 2 SDs below normal and a new prescription for alendronate to 1 of 4 treatment groups. (11) The first group received educational materials each month, the second received results of bone turnover markers at baseline and 3 and 12 months, the third group received both bone marker and educational information, and the fourth group, received usual care. Overall, 130 of 240 (54%) patients adhered to medication through the 12-month follow-up. According to survival analysis, there was no significant difference among groups in adherence rates. For example, the relative risk of nonadherence between group 2 (received results of bone turnover marker tests) and the control group was 0.95 (95% CI: 0.72-1.26, p>0.91). Exact rates of adherence by group were not reported. A 2011 industry-sponsored study by Roux and colleagues from France randomized physicians to manage patients on oral monthly ibandronate with a collagen cross-links test (CTX) or usual care. (12) Eighty-six physicians who recruited at least one patient were included in the Page 8

CTX group, and 74 were included in the usual care group. Physicians in the CTX group recruited a total of 346 patients, and physicians in the usual care group recruited 250 patients. In the CTX group, bone marker assessment was done at baseline and week 5 for the week 6 visit, a standardized message was delivered to patients regarding change in CTX since baseline. If the decrease in CTX was more than 30% of the baseline value, they were told that the treatment effect was optimal. If not, they were told that the treatment effect was suboptimal and they were given additional advice. Patients told they had a sub-optimal response were retested with CTX at week 13 for the week 14 visit. The primary outcome was the proportion of patients who were adherent at 1 year. After 1 year, rates of adherence to ibandronate were 74.8% in the CTX group and 75.1% in the usual care group; the difference between groups was not statistically significant, p=0.93. There was also not a statistically significant difference in the proportion of patients having taken at least 10 out of 12 pills; 82.4% in the CTX group and 80.0% in the usual care group. In this study, monitoring bone markers and providing this information to patients did not improve adherence to oral osteoporosis medication. Section Summary. There is a limited amount of evidence on the impact of bone turnover markers on management of osteoporosis. Some studies have evaluated the role of bone turnover markers in adherence to medications, but these studies have not reported an improvement in adherence in patients who get these tests. There are no studies that evaluate whether the use of the markers lead to management changes that are expected to improve outcomes. Management of other conditions associated with high rates of bone turnover There is little published literature on use of bone turnover markers in the management of conditions associated with high rates of bone turnover, such as Paget s disease, primary hyperparathyroidism, and renal osteodystrophy. Moreover, very few studies on this topic have been published since 2000. One recent study, by Rainon and colleagues, reported on 198 patients with primary hyperparathyroidism who underwent parathyroidectomy. (13) The authors found a statistically significant association (p<0.05) between preoperative serum osteocalcin levels and persistent postoperative elevation of parathyroid hormone 6 months after the surgery. In addition, several studies were identified that tested bone turnover levels in patients with Paget s disease before and after treatment with bisphosphonates. (14-16) For example, Alvarez and colleagues found that the mean values of bone markers decreased significantly after bisphosphonate treatment in 31 of 38 patients who completed a 3-month course of oral bisphosphonates. Bone markers measured in the Alvarez study included serum total alkaline phosphatase (ALP), serum bone-specific alkaline phosphatase (B-ALP), and PINP and urinary hydroxyproline (Hyp), CTx and NTx. No studies were identified that addressed whether bone turnover markers for these conditions associated with high bone turnover resulted in improved patient management decisions or health outcomes. Page 9

Summary The literature suggests that bone turnover marker levels may be independently associated with osteoporosis and fracture risk in some groups, but there is insufficient evidence reporting an association for any specific marker. Questions remain about whether bone turnover markers are sufficiently sensitive to reliably determine individual treatment responses. In addition, there is insufficient evidence from controlled studies that bone turnover marker measurement improves adherence to treatment, impacts management decisions, and/or improves health outcomes such as reducing fracture rates. Thus, the use of bone turnover markers for the diagnosis and management of osteoporosis is considered investigational. There is insufficient evidence that measurement of bone turnover markers improves patient management or health outcomes in patients with conditions associated with high bone turnover including Paget s disease, primary hyperparathyroidism, and renal osteodystrophy. Thus, bone turnover marker testing for these other conditions is considered investigational. Practice Guidelines and Position Statements In 2013, the National Osteoporosis Foundation updated their guideline for prevention and treatment of osteoporosis. (10) Regarding biochemical markers of bone turnover, the guideline states: Biochemical markers of bone turnover may: Predict risk of fracture independently of bone density Predict extent of fracture risk reduction when repeated after 3-6 months of treatment with FDA-approved therapies. Predict magnitude of BMD increases with FDA-approved therapies. Predict rapidity of bone loss. Help determine adequacy of patient compliance and persistence with osteoporosis therapy. Help determine duration of 'drug holiday' and when and if medication should be restarted (Data are quite limited to support this use, but studies are underway). In 2010, the North American Menopause Society issued an updated position statement on management of osteoporosis in postmenopausal women. The statement included the recommendation, the routine use of biochemical markers of bone turnover in clinical practice is not generally recommended. (17) In 2011, the International Osteoporosis Foundation (IOF) and the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) published a position statement by a joint IOF IFCC Bone Marker Standards Working Group. (18) The aim of the group was to evaluate evidence on using bone turnover markers for fracture risk assessment and monitoring of treatment. The group s overall conclusion was, In summary, the available studies relating bone turnover marker changes to fracture risk reduction with osteoporosis treatments are promising. Further studies are needed that take care of sample handling, ensure that bone turnover markers are measured in all available patients, and use the appropriate statistical Page 10

methods, including an assessment of whether the final bone turnover marker level is a guide to fracture risk. In 2011, the Joint Official Positions Development Conference of the International Society for Clinical Densitometry and the IOF on the FRAX fracture risk prediction algorithms published the following statement (19): Evidence that bone turnover markers predict fracture risk independent of BMD is inconclusive. Therefore, bone turnover markers are not included as risk factors in FRAX. V. DEFINITIONS TOP PAGET S DISEASE is a common nonmetabolic disease of bone of unknown cause, usually affecting middle-aged and elderly people, and characterized by excessive bone destruction and unorganized bone repair. HYPERPARATHYROIDISM is an abnormal endocrine condition characterized by hyperactivity of any of the four parathyroid glands with excessive secretion of parathyroid hormone (PTH), which causes increased resorption of calcium from the skeletal system, and increased resorption of calcium from the kidneys and GI system. OSTEODYSTROPHY refers to any generalized defect in bone development, usually associated with disturbances in calcium and phosphorus metabolism and renal insufficiency, such as in renal osteodystrophy VI. BENEFIT VARIATIONS TOP The existence of this medical policy does not mean that this service is a covered benefit under the member's contract. Benefit determinations should be based in all cases on the applicable contract language. Medical policies do not constitute a description of benefits. A member s individual or group customer benefits govern which services are covered, which are excluded, and which are subject to benefit limits and which require preauthorization. Members and providers should consult the member s benefit information or contact Capital for benefit information. VII. DISCLAIMER TOP Capital s medical policies are developed to assist in administering a member s benefits, do not constitute medical advice and are subject to change. Treating providers are solely responsible for medical advice and treatment of members. Members should discuss any medical policy related to their coverage or condition with their provider Page 11

and consult their benefit information to determine if the service is covered. If there is a discrepancy between this medical policy and a member s benefit information, the benefit information will govern. Capital considers the information contained in this medical policy to be proprietary and it may only be disseminated as permitted by law. VIII. CODING INFORMATION TOP Note: This list of codes may not be all-inclusive, and codes are subject to change at any time. The identification of a code in this section does not denote coverage as coverage is determined by the terms of member benefit information. In addition, not all covered services are eligible for separate reimbursement. Covered when medically necessary: CPT Codes 82523 83519 84080 Current Procedural Terminology (CPT) copyrighted by American Medical Association. All Rights Reserved. Investigational; therefore not covered: CPT Codes 83937 Current Procedural Terminology (CPT) copyrighted by American Medical Association. All Rights Reserved. ICD-9-CM Diagnosis Code* Description 733.45 ASEPTIC NECROSIS OF JAW 526.89 OTHER DISEASES OF The JAW (osteoradionecrosis of the jaw) *If applicable, please see Medicare LCD or NCD for additional covered diagnoses. The following ICD-10 diagnosis codes will be effective October 1, 2015: ICD-10-CM Diagnosis Description Code* M27.2 Inflammatory conditions of jaws M87.08 Idiopathic aseptic necrosis of bone, other site M87.180 Osteonecrosis due to drugs, jaw *If applicable, please see Medicare LCD or NCD for additional covered diagnoses. Page 12

IX. REFERENCES TOP 1. Biver E, Chopin F, Coiffier G et al. Bone turnover markers for osteoporotic status assessment? A systematic review of their diagnosis value at baseline in osteoporosis. Joint Bone Spine 2012; 79(1):20-5. 2. Chopin F, Biver E, Funck-Brentano T et al. Prognostic interest of bone turnover markers in the management of postmenopausal osteoporosis. Joint Bone Spine 2012; 79(1):26-31. 3. 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 Mineral Res 2009; 24(12):2032-8. 4. Tamaki J, Iki M, Kadowaki E et al. Biochemical markers for bone turnover predict risk of vertebral fractures in postmenopausal women over 10 years: the Japanese Populationbased Osteoporosis (JPOS) Cohort Study. Osteoporos Int 2013; 24(3):887-97. 5. Bauer DC, Garnero P, Hochberg MC et al. Pretreatment levels of bone turnover and the antifracture efficacy of alendronate: the Fracture Intervention trial. J Bone Miner Res 2006; 21(2):292-9. 6. Abe Y, Ishikawa H, Fukao A. Higher efficacy of urinary bone resorption marker measurements in assessing response to treatment for osteoporosis in postmenopausal women. Tohoku J Exp Med 2008; 214(1):51-9. 7. Shiraki M, Itabashi A. Short-term menatetrenone therapy increases gamma-carboxylation of osteocalcin with a moderate increase of bone turnover in postmenopausal osteoporosis: a randomized prospective study. J Bone Miner Metab 2009; 27(3):333-40. 8. Funck-Brentano T, Biver E, Chopin F et al. Clinical utility of serum bone turnover markers in postmenopausal osteoporosis therapy monitoring: a systematic review. Semin Arthritis Rheum 2011; 41(2):157-69. 9. Baxter I, Rogers A, Eastell R et al. Evaluation of urinary N-telopeptide of type I collagen measurements in the management of osteoporosis in clinical practice. Osteoporos Int 2013; 24(3):941-7. 10. National Osteoporosis Foundation. 2013 Clinician's guide to prevention and treatment of osteoporosis. Available online at: http://www.nof.org/professionals/clinical-guidelines. Accessed May 21, 2014. 11. Silverman SL, Nasser K, Nattrass S et al. Impact of bone turnover markers and/or educational information on persistence to oral bisphosphonate therapy: a community setting-based trial. Osteoporos Int 2012; 23(3):1069-74. 12. Roux C, Giraudeau B, Rouanet S et al. Monitoring of bone turnover markers does not improve persistence with ibandronate treatment. Joint Bone Spine 2011; 79(4):389-92. 13. Rianon N, Alex G, Callender G et al. Preoperative serum osteocalcin may predict postoperative elevated parathyroid hormone in patients with primary hyperparathyroidism. World J Surg 2012; 36(6):1320-6. Page 13

14. Woitge HW, Oberwittler H, Heichel S et al. Short- and long-term effects of ibandronate treatment on bone turnover in Paget disease of bone. Clin Chem 2000; 46(5):684-90. 15. Reid IR, Davidson JS, Wattie D et al. Comparative responses of bone turnover markers to bisphosphonate therapy in Paget's disease of bone. Bone 2004; 35(1):224-30. 16. Alvarez L, Guanabens N, Peris P et al. Usefulness of biochemical markers of bone turnover in assessing response to the treatment of Paget's disease. Bone 2001; 29(5):447-52. 17. North American Menopause Society. Management of osteoporosis in postmenopausal women: 2010 position statement of the North American Menopause Society. 18. Vasikaran S, Cooper C, Eastell R et al. International Osteoporosis Foundation and International Federation of Clinical Chemistry and Laboratory Medicine Position on bone marker standards in osteoporosis. Clin Chem Lab Med 2011; 49(8):1271-4. 19. McCloskey EV, Vasikaran S, Cooper C. Official Positions for FRAX(R) clinical regarding biochemical markers from Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX(R). J Clin Densitom 2011; 14(3):220-2. 20. CMS National Coverage Determinations. 190.19 Collagen Crosslinks, Any Method. Available online at: http://www.cms.hhs.gov/coveragegeninfo/downloads/manual200907.pdf. Accessed June 12, 2014. 21. Federal Register, November 23, 2001. Rules and Regulations. 66(No. 226). X. POLICY HISTORY TOP MP 2.220 CAC 2/25/03 CAC 2/24/04 CAC 11/30/04 CAC 10/25/05 CAC 9/26/06 CAC 9/25/07 CAC 7/29/08 CAC 3/31/09 CAC 1/26/10 Minor revision. Policy retiled and addition of FDA approved tests in addition to collagen cross-links. CAC 4/26/11 Consensus review. CAC 6/26/12 Adopt BCBSA. Criteria related to osteonecrosis of the jaw retained; this indication remains medically necessary. All other testing indications remain investigational. CAC 9/24/13 Minor review. Statement added that measurement of bone turnover markers is considered investigational in the management of patients with conditions associated with high rates of bone including but not limited to Page 14

Paget s disease, primary hyperparathyroidism and renal osteodystrophy. FEP variation revised for this review to refer to the FEP medical policy manual. References updated. Codes reviewed. CAC 7/22/14 Consensus. No change to policy statements. References updated. Rationale section added. Coding reviewed. Top Health care benefit programs issued or administered by Capital BlueCross and/or its subsidiaries, Capital Advantage Insurance Company, Capital Advantage Assurance Company and Keystone Health Plan Central. Independent licensees of the BlueCross BlueShield Association. Communications issued by Capital BlueCross in its capacity as administrator of programs and provider relations for all companies. Page 15