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The aromatase inhibitor (AI)-associated musculoskeletal (MSK) pain symptoms are often debilitating and limit compliance with this important hormonal breast cancer therapy. The etiology of this syndrome is unknown. Hypovitaminosis D has been suggested as a possible risk factor for the development of MSK symptoms in women starting AIs. The objective of this substudy was to define the prevalence of low 25(OH)D in this population, to assess risk of low levels on developing pain and to define a target therapeutic goal for 25(OH)D in this population. This analysis was part of a 6-month prospective cohort study examining the MSK side effects of adjuvant AI therapy in postmenopausal women. Patients were evaluated by a rheumatologist with a joint examination, had 25(OH)D levels measured and completed quality of life questionnaires at baseline, 3 and 6 months. Symptomatic patients were defined as those that self-reported new or worsening MSK symptoms. Of 52 patients, 28 (54%) were symptomatic, and two (3.8%) stopped AIs due to MSK ailments. Thirteen patients had objective evidence of tendonitis on rheumatologic examination. Thirty-three percent of all subjects had baseline 25(OH)D levels <40 ng/mL, 19.2% had levels <30 ng/mL and 5.8% had levels <20 ng/mL. Symptomatic patients were more likely to have had baseline levels below 40 ng/mL, compared with asymptomatic patients (46.4% versus 16.7%, p = 0.037). In multivariate regression analyses, levels <40 ng/mL were associated with developing objective tenosynovitis (p = 0.033) but not with developing nonspecific myalgias. Our findings suggest hypovitaminosis D may be contributing to the AI-associated MSK pain syndrome and in particular to the development of tendonitis. Repletion to 25(OH)D levels >40 ng/mL is advisable. Further research should be carried out on identifying additional modifiable risk factors for this syndrome., (© 2014 Wiley Periodicals, Inc.)

Objective: To define the musculoskeletal syndrome associated with use of aromatase inhibitors (AIs), specifically, to describe its incidence, time to onset, risk factors, and clinical presentation., Methods: Postmenopausal women with hormone-sensitive, nonmetastatic breast cancer starting AI therapy were enrolled in this prospective cohort study. They underwent complete rheumatologic evaluation and contrast-enhanced magnetic resonance imaging (MRI) of the hands and wrists prior to starting AI, at 3 and 6 months. The primary outcome was change in grip strength., Results: Twenty-eight (54%) of 52 women reported new or worsening musculoskeletal symptoms. Two discontinued AIs due to pain. Mean time to symptom onset was 6 weeks (range 2-18 weeks), and 75% of symptomatic patients developed symptoms by 8 weeks. Later-stage cancer and worse quality of life (QOL) pretreatment were significantly associated with symptom development. Sixty-eight percent of symptomatic subjects had involvement of the hands; however, there was no difference in the mean change in grip strength (-2.9 kg versus -1.3 kg; P = 0.6). Among symptomatic subjects, 46% had evidence of focal tenosynovitis of the hands and feet on examination. Although some symptomatic subjects had new MRI abnormalities, Rheumatoid Arthritis Magnetic Resonance Imaging Scoring did not significantly change., Conclusion: The incidence of AI-associated musculoskeletal syndrome is more than 50%, with most women developing symptoms by 8 weeks. The key finding in symptomatic women was focal tenosynovitis of the hands and feet, without evidence of autoimmune disease or systemic inflammation. Later-stage cancer and poorer QOL were predictive of symptom development., (Copyright © 2012 by the American College of Rheumatology.)

Analysis of observational cohort data is subject to bias from unobservable risk selection. The authors compared econometric models and treatment effectiveness estimates using the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare claims data for women diagnosed with ductal carcinoma in situ. Treatment effectiveness estimates for mastectomy and breast-conserving surgery (BCS) with or without radiotherapy were compared using three different models: simultaneous-equations model, discrete-time survival model with unobserved heterogeneity (frailty), and proportional hazards model. Overall trends in disease-free survival (DFS), or time to first subsequent breast event, by treatment are similar regardless of the model, with mastectomy yielding the highest DFS over 8 years of follow-up, followed by BCS with radiotherapy, and then BCS alone. Absolute rates and direction of bias varied substantially by treatment strategy. DFS was underestimated by single-equation and frailty models compared with the simultaneous-equations model and randomized controlled trial results for BCS with radiotherapy and overestimated for BCS alone.

Background: The study aimed to identify factors associated with less-than-optimal radiotherapy (RT) and its impact on disease-free survival in women aged 66+ years diagnosed with stage I breast cancer or ductal carcinoma in situ (DCIS)., Methods: The subjects were women diagnosed from 1991 to 1999 in the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database who underwent breast-conserving surgery and RT within 12 months postdiagnosis. The authors conducted descriptive and multivariate survival analyses, and considered age, race, poverty, marital status, comorbidity indices, rural/urban, radiation oncologist density, comedo necrosis histology (DCIS only), chemotherapy receipt (stage I only), and RT completion (3+ weeks of treatment) and delay (8+ weeks postsurgery without chemotherapy; 4+ weeks postchemotherapy)., Results: Of 7791 subjects, 16% experienced RT delay, and 3% had incomplete RT. Subjects with stage I disease who were more likely to delay RT were of black race (odds ratio [OR], 1.56; 95% confidence interval [CI], 1.17-2.08), whereas women in areas of high radiation oncologist density were less likely to delay (OR, 0.73; 95% CI, 0.66-0.81). Those living in high poverty areas were less likely to complete RT (P < .03), as were those undergoing chemotherapy (OR, 1.82; 95% CI, 1.15-2.88). Stage I breast cancer patients with delayed RT were more likely to experience a subsequent breast event (OR, 1.14; 95% CI, 1.00-1.30), and those with incomplete RT had a higher rate of overall mortality (OR, 1.32; 95% CI, 1.06-1.63). Factors associated with lower subsequent breast events included older age, lower poverty, and being married. RT delays of 12+ weeks (or 8+ weeks postchemotherapy) had a strongly negative impact on subsequent events (OR, 3.94; 95% CI, 2.51-6.17 for DCIS; OR, 2.77; 95% CI, 1.84-2.59 for stage I)., Conclusions: RT should be facilitated to ensure completion and timeliness, especially for early invasive breast cancer patients., ((c) 2008 American Cancer Society)

Objective: To test the validity of three published algorithms designed to identify incident breast cancer cases using recent inpatient, outpatient, and physician insurance claims data., Data: The Surveillance, Epidemiology, and End Results (SEER) registry data linked with Medicare physician, hospital, and outpatient claims data for breast cancer cases diagnosed from 1995 to 1998 and a 5 percent control sample of Medicare beneficiaries in SEER areas., Study Design: We evaluate the sensitivity and specificity of three algorithms applied to new data compared with original reported results. Algorithms use health insurance diagnosis and procedure claims codes to classify breast cancer cases, with SEER as the reference standard. We compare algorithms by age, stage, race, and SEER region, and explore via logistic regression whether adding demographic variables improves algorithm performance., Principal Findings: The sensitivity of two of three algorithms is significantly lower when applied to newer data, compared with sensitivity calculated during algorithm development (59 and 77.4 percent versus 90 and 80.2 percent, p<.00001). Sensitivity decreases as age increases, and false negative rates are higher for cases with in situ, metastatic, and unknown stage disease compared with localized or regional breast cancer. Substantial variation also exists by SEER registry. There was potential for improvement in algorithm performance when adding age, region, and race to an indicator variable for whether the algorithm determined a subject to be a breast cancer case (p<.00001)., Conclusions: Differential sensitivity of the algorithms by SEER region and age likely reflects variation in practice patterns, because the algorithms rely on administrative procedure codes. Depending on the algorithm, 3-5 percent of subjects overall are misclassified in 1998. Misclassification disproportionately affects older women and those diagnosed with in situ, metastatic, or unknown-stage disease. Algorithms should be applied cautiously to insurance claims databases to assess health care utilization outside SEER-Medicare populations because of uneven misclassification of subgroups that may be understudied already.