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1.
Breast Cancer Res Treat ; 160(1): 101-109, 2016 11.
Article in English | MEDLINE | ID: mdl-27663436

ABSTRACT

PURPOSE: The purpose of this study is to evaluate survival outcome in patients with hormone receptor (HR)-positive (+) metastatic breast cancer (MBC) who received fluoxymesterone after disease progression while receiving contemporary hormonal therapy, as well as the association between estrogen receptor (ER)/androgen receptor (AR) status and survival outcome in these patients. METHODS: We retrospectively identified 103 patients treated with fluoxymesterone for HR + MBC from 2000 to 2014 and with at least one previous hormonal therapy in a metastatic setting. RESULTS: A median of 3 (range 1-10) hormonal therapies (aromatase inhibitors, tamoxifen, and/or fulvestrant) were received before fluoxymesterone; 33 patients discontinued fluoxymesterone before progression because of physician decision or adverse events including toxicity in 14 patients. Of the remaining 70 patients, 2 (3 %) had complete response, 7 (10 %) partial response, and 21 (30 %) stable disease for at least 6 months, yielding a clinical benefit rate of 43 %. The median PFS was 3.9 months (95 % CI 3.2-5.3 months). Multivariate analysis revealed no significant association between PFS and the type or number of prior systemic treatments. All 39 patients who had archived tumor slides available for AR staining had ER + carcinoma; 10 had ≥1 % but <10 %, 18 had ≥10 %, and 11 had no AR nuclear expression. AR positivity with various cutoffs (i.e. any AR + cells, ≥1 % AR + cells, or ≥10 % AR + cells) was not significantly associated with survival outcome. CONCLUSIONS: Fluoxymesterone can be considered for patients whose ER + MBC progresses on contemporary hormonal therapy, regardless of the level of AR expression.


Subject(s)
Antineoplastic Agents, Hormonal/therapeutic use , Breast Neoplasms/drug therapy , Breast Neoplasms/metabolism , Fluoxymesterone/therapeutic use , Receptors, Androgen/metabolism , Receptors, Estrogen/metabolism , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor , Breast Neoplasms/diagnosis , Breast Neoplasms/mortality , Drug Resistance, Neoplasm , Female , Follow-Up Studies , Gene Expression , Humans , Kaplan-Meier Estimate , Middle Aged , Neoplasm Metastasis , Neoplasm Staging , Proportional Hazards Models , Receptors, Androgen/genetics , Receptors, Estrogen/genetics , Retrospective Studies , Treatment Outcome
2.
Health Serv Res ; 52(3): 1040-1060, 2017 06.
Article in English | MEDLINE | ID: mdl-27678196

ABSTRACT

OBJECTIVE: To evaluate differences in hospital readmission risk across all payers in South Carolina (SC). DATA SOURCES/STUDY SETTING: South Carolina Revenue and Fiscal Affairs Office (SCRFA) statewide all payer claims database including 2,476,431 hospitalizations in SC acute care hospitals between 2008 and 2014. STUDY DESIGN: We compared the odds of unplanned all-cause 30-day readmission for private insurance, Medicare, Medicaid, uninsured, and other payers and examined interaction effects between payer and index admission characteristics using generalized estimating equations. DATA COLLECTION: SCRFA receives claims and administrative health care data from all SC health care facilities in accordance with SC state law. PRINCIPAL FINDINGS: Odds of readmission were lower for females compared to males in private, Medicare, and Medicaid payers. African Americans had higher odds of readmission compared to whites across private insurance, Medicare, and Medicaid, but they had lower odds among the uninsured. Longer length of stay had the strongest association with readmission for private and other payers, whereas an increased number of comorbidities related to the highest readmission odds within Medicaid. CONCLUSIONS: Associations between index admission characteristics and readmission likelihood varied significantly with payer. Findings should guide the development of payer-specific quality improvement programs.


Subject(s)
Hospitals , Insurance Claim Review/statistics & numerical data , Patient Readmission/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Ethnicity/statistics & numerical data , Female , Humans , Male , Medicaid/statistics & numerical data , Medically Uninsured/statistics & numerical data , Medicare/statistics & numerical data , Middle Aged , Retrospective Studies , Risk Factors , Sex Factors , South Carolina , United States
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