Bone Mineral Density Testing Disparities Among Patients With Breast Cancer Prescribed Aromatase Inhibitors

Authors:
John Charlson From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.
From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

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Elizabeth C. Smith From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

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Alicia J. Smallwood From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

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Purushottam W. Laud From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

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Joan M. Neuner From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.
From the Department of Medicine, Hematology-Oncology Division; Center for Patient Care and Outcomes Research; Division of Biostatistics, Institute for Health and Society; and Department of Medicine, General Internal Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

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Objectives: Aromatase inhibitors (AIs) are standard adjuvant therapy for postmenopausal women with early-stage, estrogen receptor–positive breast cancer. We designed our study to determine whether women initiating adjuvant therapy with an AI underwent baseline bone mineral density testing, as well as what factors predicted adherence with testing guidelines. Methods: Medicare Parts A, B, and D claims were used to identify a cohort of women aged 67 years and older with incident breast cancer in 2006 and 2007 who started AI therapy. Medicare claims provided information about bone density testing, as well as demographic and other treatment data through 2012. We also ascertained which patients were treated with bisphosphonates and studied the relationship of bisphosphonate therapy with bone density testing. Results: Approximately two-thirds of patients had baseline bone density testing. Older age, comorbidity, low income, and black race were associated with lower rates of baseline bone density testing. Testing rates decreased substantially with increasing age from 73% for women aged 67 to 70 years to 51% for those 85 years of age and older (adjusted odds ratio for not being tested, 2.48 [Cl, 2.17–2.82]). The proportion of women who had neither bone density testing nor bisphosphonate therapy increased with age as well. Conclusions: Despite the importance of age as a risk factor for fractures, older women starting treatment with AIs for treatment of breast cancer are less likely to undergo recommended bone density assessment.

Background

Aromatase inhibitors (AIs), tamoxifen, and the sequential use of these agents are all standard options for adjuvant hormonal therapy (HT) for postmenopausal women with early-stage, estrogen receptor (ER)–positive breast cancer. At least 70% of these women are prescribed AIs alone.1 AI use is associated with a decrease in bone mineral density (BMD) and an increased fracture risk, relative to both tamoxifen and placebo.24 Clinical assessment of fracture risk in postmenopausal women starting AI therapy with bone density testing with dual x-ray absorptiometry (DXA) or other technologies is recommended by current ASCO and NCCN guidelines.5,6 Subsequent treatment decisions should be based on results of bone density tests along with other risk factors for fracture.3,58

Although a few studies early in the use of AIs suggested that adherence to these guidelines was suboptimal,913 there are few recent data. As consensus about the importance of AIs in HT regimens has grown, it is likely that AIs are increasingly given to patients with substantially higher fracture risk, making understanding current patterns in guideline adherence even more important. The aim of this study was to investigate whether older women in a population-based sample from across the United States treated with AIs as adjuvant breast cancer therapy are undergoing appropriate guideline-based bone risk assessments. We used a population-based sample with a number of older and other high-risk women. In addition, we also examined how testing in this population compared with testing in patients without cancer, and, to account for the possibility that higher-risk patients were empirically treated without testing, also examined prescription osteoporosis treatment.

Methods

Study Cohort and Data Sources

To establish a cohort of older women receiving AIs as adjuvant breast cancer treatment, we used Medicare Parts A, B, and D claims to identify Medicare-enrolled women aged 67 years or older who underwent initial breast cancer surgery in 2006 or 2007 and who initiated AI therapy within 1 year after surgery.14 AI initiation was defined as filling one or more prescriptions for anastrozole, exemestane, or letrozole within 365 days of breast cancer surgery. We used 67 years as the lower age limit to allow us to identify prior claims for BMD testing (nearly all patients in this period entered Medicare at age 65 years). To minimize inclusion of patients with metastatic cancer, women receiving intravenous bisphosphonates at intervals less than 90 days were excluded.

Medicare files from 2 years before until 6 months after AI initiation were the source of cohort members' demographic data, outpatient and inpatient diagnoses, and information about whether a Medicare Part D low-income subsidy (LIS) was received. Claims were also available for patients who started in a Medicare D plan and then subsequently switched into a Medicare Advantage plan. Per capita income (PCI) at the zip code level was obtained from census data. BMD testing was identified using Medicare claims for procedure codes for peripheral or central DXA, or ultrasound. Medicare Part D Prescription Drug Event files were used to determine oral medication prescription fills, and Medicare Parts A and B were used to identify cytotoxic chemotherapy and intravenous bisphosphonate use.

To allow comparison of testing with non–breast cancer controls, a cohort of female Medicare enrollees aged 67 years and older was also drawn from a random sample of 5% of all Medicare enrollees.

Analysis

We defined our primary outcome of baseline BMD testing as testing performed between 24 months prior and 6 months after AI initiation. As a secondary outcome, we also measured receipt of at least one prescription for an oral bisphosphonate (risedronate, alendronate, or ibandronate) between 12 months before and 12 months after AI initiation. Because denosumab was not FDA-approved for any indication until June 2010, we did not examine its use. Covariates included age, race, rural versus urban dwelling, comorbidity score (using a breast cancer–specific NCI algorithm based on claims diagnoses),15 zip code PCI by quartile, receipt of LIS, and whether patients were treated with chemotherapy.

Unadjusted rates of baseline BMD testing and use of oral bisphosphonates were calculated for all patients and in subgroups by patient age. Logistic regression models adjusted for the covariates were developed to investigate the degree to which demographic and clinical factors were associated with failure to undergo baseline BMD testing. For comparison, annualized bone density testing rates from the 6 months before and 6 months after AI initiation were compared with a random 5% sample of Medicare enrollees in 2008. In addition, the rate of bisphosphonate use was measured in relationship to BMD testing. Finally, as a sensitivity analysis, to assess whether clinicians become more aware of bone risks over the time of our study or as their patients continued on medications, we measured testing though December 2012.

Results

Our cohort consisted of 19,585 older women with incident breast cancer in 2006 and 2007 who started adjuvant AI therapy (Table 1). Most women initiating adjuvant AI therapy (67.7%) underwent baseline BMD testing. The annualized BMD testing rate for the complete breast cancer cohort was 53.9%, substantially higher than the noncancer random sample of Medicare patients (15.4% rate) (Figure 1).

BMD testing rates, unadjusted for socioeconomic or health variables, were lowest in the oldest age group. In contrast, the rates of bisphosphonate use without BMD testing during our study interval

Table 1.

Baseline Characteristics (N=19,585)

Table 1.
were slightly higher among older women (Figure 2). Nonetheless, the percentage of women initiating adjuvant AI therapy without evidence of any measure of bone care, that is, who neither underwent BMD testing nor received bisphosphonates, increased from 24% in the 67-to 70-year-old age group to 40% in the oldest group (aged ≥86 years).

In adjusted models, older age, comorbidity, low income (by zip code PCI and receipt of LIS), and race (black women) were all associated with a higher

Figure 1.
Figure 1.

Annualized bone mineral density (BMD) testing rates by age, compared with a non–breast cancer sample. The annual rate of BMD testing in our cohort, by age group, in comparison to a random 5% sample of Medicare beneficiaries.

Citation: Journal of the National Comprehensive Cancer Network J Natl Compr Canc Netw 14, 7; 10.6004/jnccn.2016.0092

likelihood of starting an AI without baseline BMD testing (Table 1). Women treated with chemotherapy were also less likely to undergo baseline BMD testing, and baseline BMD testing decreased progressively with increasing age (relative risk, 2.49 [2.17–2.82] for women aged ≥85 years vs those aged 67–70 years) and with comorbidity (Table 2). An additional 2,953 patients who had not previously been tested received a BMD test during their treatment, so that 81.8% of patients received a BMD test at some point shortly before or during cancer care.

Discussion

In a 2006–2007 population-based cohort of older US Medicare patients starting adjuvant AIs who were followed through 2012, approximately one-third of patients did not undergo recommended baseline BMD testing. Several factors, including race and comorbidity, were associated with testing, but older age was the variable most strongly associated with lower likelihood of testing. Although there was a slightly higher rate of bisphosphonate use without testing in older women, this increase was much smaller than the decrease in testing by age, thus despite their substantially higher risk, older patients received less bone-related care overall.

Our results are important to the quality of cancer care, because randomized controlled trials of AIs compared with tamoxifen demonstrated substantially higher fracture rates with AIs. Fractures were the most common adverse effect in most of the AI trials,

Figure 2.
Figure 2.

Treatment strategies by age group. The percentage of patients in each age group of the study cohort who are treated according to 1 of 4 different bone health strategies: bone mineral density (BMD) testing without bisphosphonate treatment, bisphosphonate treatment without BMD testing, BMD testing and bisphosphonate treatment, and no testing or treatment. Bisphosphonate use was determined by Medicare Part D claims for an oral bisphosphonate during the period 12 months before to 12 months after initiation of aromatase inhibitor therapy.

Citation: Journal of the National Comprehensive Cancer Network J Natl Compr Canc Netw 14, 7; 10.6004/jnccn.2016.0092

with an absolute risk in the largest trial of upfront AI versus upfront tamoxifen (ATAC) of 11.0% versus 7.7% at 5 years.16 Most trials' estimated hazard ratios for fractures associated with AIs compared with tamoxifen were between 1.4 and 1.6.2,13 Fracture risk was also found to be 2.2% higher for 5 years of AI treatment versus sequential treatment with tamoxifen followed by an AI (2.5 years of each).17 Studies that compared AIs with placebo were substantially smaller and did not have the statistical power to assess fracture risk, but reported reductions in bone density with AIs.4,18 Given these data, NCCN and ASCO recommend baseline bone density testing for all patients starting AIs. Other studies' results regarding overall use of BMD testing are mixed. One study found that patients with breast cancer were more likely to undergo DXA relative to controls,9 but another showed that breast cancer survivors were less likely than noncancer controls to have undergone several health maintenance procedures, including bone densitometry.10 Perhaps because those studies were performed just after adjuvant AIs were recommended, in our contemporary cohort, patients with breast cancer on AIs were substantially more likely than a noncancer cohort to receive testing (annualized testing rate, 53.9% vs 15.4%).

Table 2.

Multivariate Analysis of Factors Predicting Lack of Baseline Bone Density Testing Among Women Starting Aromatase Inhibitors

Table 2.

Despite this overall relatively high rate of testing, we also found that several groups of patients at highest risk of fracture were among the least likely to receive testing. Fracture risk increases substantially with age,19 and women in the oldest age groups are at particularly high risk for hip fracture.20 Hip fracture rates are approximately 7 times higher in women aged 70 to 74 years compared with those aged 50 to 54 years.21 Higher comorbidity is also strongly linked to fractures.3 Despite the importance of age and comorbidity in fracture risk, our study found that screening occurs in a pattern that is inverse with risk; results that were consistent with one other large study in cancer11 and several studies in osteoporosis.22,23 One smaller cohort study12 did not identify an inverse relationship of age with testing, but was probably underpowered for this question. Compared with the other breast cancer studies, our study includes a much larger and nationally representative cohort, as we included all patients with breast cancer aged 67 years and older enrolled nationally in Medicare Part D, including more than 4,000 women older than 80 years. Unlike earlier studies, we also examined whether use of osteoporosis medication without testing might explain the large age disparities in testing. It was also during this study's measurement period, through 2012, that data continued to emerge suggesting a potential role for bisphosphonates in reducing breast cancer recurrence rates.2426 Although a larger number of older patients did receive bisphosphonates, this did not explain the disparities in bone density findings, or even substantially change our finding that attention to bone health was higher in the lower-risk younger patients.

BMD testing may be even more important in patients with breast cancer than in noncancer patients. Although patients with a prior fracture or a higher bone density are actually less likely to develop breast cancer,2729 fracture risk increases for patients after treatment, such that some studies suggest that breast cancer history is an independent risk factor for fracture.30 ASCO and NCCN Guidelines recommend that patients at increased risk of fracture consider treatment with antiresorptive therapy.5,6 For women with premenopausal breast cancer, premature ovarian failure after chemotherapy is a major determinant of that risk and is generally reflected in rapid losses in BMD. For postmenopausal women, fracture risk factors other than AI use appear to be similar to those in women without breast cancer.3,6 A strategy of baseline BMD testing followed by treatment (with oral bisphosphonates) for women with osteoporosis or osteopenia and fracture risk factors was shown to be a more cost-effective intervention for bone health than universal treatment with bisphosphonates for all women on AIs.31 These data perhaps influenced clinicians in our study, few of whom appeared to treat without testing.

Limitations of this study include the lack of access to results of BMD tests; we are therefore unable to comment on appropriateness of prescription treatment. Although it is notable that in our study a subset of the cohort on bisphosphonates did not have a baseline BMD test, and the proportion of women in this category also increased with age, it is unknown whether these women were previously diagnosed with osteoporosis and were already on therapy. It is also noted that since our study period, evidence has accumulated supporting the use of zoledronic acid and denosumab as adjuvant cancer treatment in postmenopausal women with breast cancer, which may lead to changes in bone health guidelines for this population. Nonetheless, to our knowledge this is the largest and most contemporary population-based study to date assessing quality of bone health management in postmenopausal patients with breast cancer initiating adjuvant AI therapy, with BMD testing examined through 2012; the first to both assess screening and empiric treatment; and the first to include large numbers of older women.

This study highlights suboptimal US compliance with guideline recommendations for baseline BMD testing when starting AI therapy. Older women, at higher risk for fractures in general, are least likely to obtain BMD testing, and the slight increase in empiric treatment for those women did not close the gap. The reason for this deficiency is unknown, but clinicians should be aware of it so that efforts can be focused on maximizing the therapeutic index in adjuvant breast cancer treatment.

The authors have disclosed that they have no financial interests, arrangements, affiliations, or commercial interests with the manufacturers of any products discussed in this article or their competitors. This project was funded by a grant from the American Cancer Society (RSG-11-098-01-CPHPS to Dr. Neuner).

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Correspondence: John Charlson, MD, Hematology-Oncology Division, Department of Medicine, 9200 Wisconsin Avenue, Medical College of Wisconsin, Milwaukee, WI 53226. E-mail: jcharlso@mcw.edu

Author Contributions: Study concepts: Neuner and Charlson. Study design: Neuner, Charlson, and Laud. Data acquisition: Neuner. Quality control of data and algorithms: Laud and Smith. Data analysis and interpretation: Neuner, Laud, Smith, Charlson, and Smallwood. Statistical analysis: Laud and Smith. Manuscript preparation: Neuner, Charlson, Smallwood, Laud, and Smith. Manuscript editing: Neuner, Charlson, and Smallwood. Manuscript review: Neuner, Charlson, Smallwood, Laud, and Smith.

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  • Annualized bone mineral density (BMD) testing rates by age, compared with a non–breast cancer sample. The annual rate of BMD testing in our cohort, by age group, in comparison to a random 5% sample of Medicare beneficiaries.

  • Treatment strategies by age group. The percentage of patients in each age group of the study cohort who are treated according to 1 of 4 different bone health strategies: bone mineral density (BMD) testing without bisphosphonate treatment, bisphosphonate treatment without BMD testing, BMD testing and bisphosphonate treatment, and no testing or treatment. Bisphosphonate use was determined by Medicare Part D claims for an oral bisphosphonate during the period 12 months before to 12 months after initiation of aromatase inhibitor therapy.

  • 1.

    Yen TW, Czypinski LK, Sparapani RA et al.. Socioeconomic factors associated with adjuvant hormone therapy use in older breast cancer survivors. Cancer 2011;117:398405.

  • 2.

    Amir E, Seruga B, Niraula S et al.. Toxicity of adjuvant endocrine therapy in postmenopausal breast cancer patients: a systematic review and meta-analysis. J Natl Cancer Inst 2011;103:12991309.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Neuner JM, Yen TW, Sparapani RA et al.. Fracture risk and adjuvant hormonal therapy among a population-based cohort of older female breast cancer patients. Osteoporos Int 2011;22:28472855.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Lonning PE, Geisler J, Krag LE et al.. Effects of exemestane administered for 2 years versus placebo on bone mineral density, bone biomarkers, and plasma lipids in patients with surgically resected early breast cancer. J Clin Oncol 2005;23:51265137.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Gralow JR, Biermann JS, Farooki A et al.. NCCN Task Force Report: Bone Health In Cancer Care. J Natl Compr Canc Netw 2013;11(Suppl 3):S150.

  • 6.

    Hillner BE, Ingle JN, Chlebowski RT et al.. American Society of Clinical Oncology 2003 update on the role of bisphosphonates and bone health issues in women with breast cancer. J Clin Oncol 2003;21:40424057.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Lim LS, Hoeksema LJ, Sherin K. Screening for osteoporosis in the adult U.S. population: ACPM position statement on preventive practice. Am J Prev Med 2009;36:366375.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Nelson HD, Haney EM, Dana T et al.. Screening for osteoporosis: an update for the U.S. Preventive Services Task Force. Ann Intern Med 2010;153:99111.

  • 9.

    Earle CC, Burstein HJ, Winer EP et al.. Quality of non–breast cancer health maintenance among elderly breast cancer survivors. J Clin Oncol 2003;21:14471451.

  • 10.

    Snyder CF, Frick KD, Kantsiper ME et al.. Prevention, screening, and surveillance care for breast cancer survivors compared with controls: changes from 1998 to 2002. J Clin Oncol 2009;27:10541061.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Ligibel J, O'Malley AJ, Fisher M et al.. Patterns of bone density evaluation in a community population treated with aromatase inhibitors. Breast Cancer Res Treat 2012;134:13051313.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Spangler L, Yu O, Loggers E et al.. Bone mineral density screening among women with a history of breast cancer treated with aromatase inhibitors. J Women's Health 2013;22:132140.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Early Breast Cancer Trialists' Collaborative Group: aromatase inhibitors versus tamoxifen in early breast cancer: patient-level meta-analysis of the randomised trials. Lancet 2015;386:13411352.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Nattinger AB, Laud PW, Bajorunaite R et al.. An algorithm for the use of Medicare claims data to identify women with incident breast cancer. Health Serv Res 2004;39(6 Pt 1):17331749.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Klabunde CN, Legler JM, Warren JL et al.. A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients. Ann Epidemiol 2007;17:584590.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Howell A, Cuzick J, Baum M et al.. Results of the ATAC (Arimidex, Tamoxifen, Alone or in Combination) trial after completion of 5 years' adjuvant treatment for breast cancer. Lancet 2005;365:6062.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    van de Velde CJ, Rea D, Seynaeve C et al.. Adjuvant tamoxifen and exemestane in early breast cancer (TEAM): a randomised phase 3 trial. Lancet 2011;377:321331.

  • 18.

    Dhesy-Thind SK. Screening for osteoporosis in postmenopausal women with breast cancer receiving aromatase inhibitors: less is more? J Clin Oncol 2012;30:14081410.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Jacobsen SJ, Goldberg J, Miles TP et al.. Hip fracture incidence among the old and very old: a population-based study of 745,435 cases. Am J Public Health 1990;80:871873.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Hui SL, Slemenda CW, Johnston CC. Age and bone mass as predictors of fracture in a prospective study. J Clin Invest 1988;81:18041809.

  • 21.

    Banks E, Reeves GK, Beral V et al.. Hip fracture incidence in relation to age, menopausal status, and age at menopause: prospective analysis. PLOS Med 2009;6:e1000181.

  • 22.

    Neuner JM, Binkley N, Sparapani RA et al.. Bone density testing in older women and its association with patient age. J Am Geriatr Soc 2006;54:485489.

  • 23.

    Curtis JR, Carbone L, Cheng H et al.. Longitudinal trends in use of bone mass measurement among older americans, 1999-2005. J Bone Miner Res 2008;23:10611067.

  • 24.

    Aft R, Naughton M, Trinkaus K et al.. Effect of zoledronic acid on disseminated tumour cells in women with locally advanced breast cancer: an open label, randomised, phase 2 trial. Lancet Oncol 2010;11:421428.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Gnant M, Mlineritsch B, Stoeger H et al.. Adjuvant endocrine therapy plus zoledronic acid in premenopausal women with early-stage breast cancer: 62-month follow-up from the ABCSG-12 randomised trial. Lancet Oncol 2011;12:631641.

    • PubMed
    • Search Google Scholar
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  • 26.

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