Factors Associated with Early Mortality Among Patients with De Novo Metastatic Breast Cancer: A Population-Based Study.

BACKGROUND Although improvements in survival have been achieved for patients with metastatic breast cancer, some patients experience early death after diagnosis. PATIENTS AND METHODS Using Surveillance, Epidemiology, and End Results data, we identified 26,538 patients with de novo metastatic breast cancer diagnosed between January 1, 2000 and June 30, 2011. We evaluated time trends for deaths at 1 and 6 months after diagnosis. We then restricted the cohort to patients diagnosed between 2010 and 2011 (n = 3,317), when human epidermal growth factor receptor 2 was routinely collected, and examined factors associated with early death. RESULTS In 2000, 15.9% of patients died within 1 month of diagnosis and 33.2% within 6 months. In 2011, the proportion of women dying within 1 month decreased to 13.4% and 26.3% within 6 months (p < .001). Older age and uninsured status were associated with early death (at both time points, age ≥70 [versus age <40] had >8.5 higher odds of dying, and uninsured [versus insured] patients had >2.5 higher odds of death). In addition, in some subgroups (e.g., no insurance and triple negative disease), more than half of patients died within 6 months. Region was also associated with early death. CONCLUSION Although we observed improvements in the proportion of patients experiencing early death, one quarter of patients with de novo metastatic disease diagnosed in 2011 died within 6 months of diagnosis. In addition to tumor factors and older age, geography and uninsured status were associated with early death. Our findings highlight the need for focused interventions for metastatic patients at highest risk for poor outcomes. The Oncologist 2017;22:386-393 IMPLICATIONS FOR PRACTICE: With nearly one quarter of patients in our dataset diagnosed in 2011 dying within 6 months of diagnosis, our findings highlight the persistent and critical need of further characterization and identification of patients who are risk for poor outcomes in order to optimize care, impact change, and improve outcomes for all women with metastatic breast cancer. Our data also emphasize the need for interventions among those at highest risk for early death. These interventions would likely promote immediate referral for clinical trial participation, early palliative care referrals, and additional supportive services, optimizing equitable patient access to cancer treatment and care.

[1]  E. Winer,et al.  Racial differences in outcomes for patients with metastatic breast cancer by disease subtype , 2015, Breast Cancer Research and Treatment.

[2]  Nikki M. Carroll,et al.  Validating Billing/Encounter Codes as Indicators of Lung, Colorectal, Breast, and Prostate Cancer Recurrence Using 2 Large Contemporary Cohorts , 2014, Medical care.

[3]  A. Jemal,et al.  Breast cancer statistics, 2013 , 2014, CA: a cancer journal for clinicians.

[4]  S. Jubelirer,et al.  Geographic access and age-related variation in chemotherapy use in elderly with metastatic breast cancer , 2014, Breast Cancer Research and Treatment.

[5]  B. Czerniecki,et al.  Factors Influencing Surgical and Adjuvant Therapy in Stage I Breast Cancer: A SEER 18 Database Analysis , 2013, Annals of Surgical Oncology.

[6]  G. Hortobagyi,et al.  Survival differences among women with de novo stage IV and relapsed breast cancer. , 2010, Annals of oncology : official journal of the European Society for Medical Oncology.

[7]  Alona Muzikansky,et al.  Early palliative care for patients with metastatic non-small-cell lung cancer. , 2010, The New England journal of medicine.

[8]  Steffie Woolhandler,et al.  Health insurance and mortality in US adults. , 2009, American journal of public health.

[9]  Kristine Broglio,et al.  Trends in survival over the past two decades among white and black patients with newly diagnosed stage IV breast cancer. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[10]  K. McMasters,et al.  Factors associated with surgical options for breast carcinoma , 2006, Cancer.

[11]  E. Feuer,et al.  SEER Cancer Statistics Review, 1975-2003 , 2006 .

[12]  H. Iwase,et al.  [Breast cancer]. , 2006, Nihon rinsho. Japanese journal of clinical medicine.

[13]  R. Rouzier,et al.  Breast cancer with synchronous metastases: trends in survival during a 14-year period. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  A. Zaslavsky,et al.  Health insurance coverage and mortality among the near-elderly. , 2004, Health affairs.

[15]  R. Tibshirani,et al.  Repeated observation of breast tumor subtypes in independent gene expression data sets , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Deborah Schrag,et al.  Overview of the SEER-Medicare Data: Content, Research Applications, and Generalizability to the United States Elderly Population , 2002, Medical care.

[17]  J F Wilson,et al.  Factors predicting the use of breast-conserving therapy in stage I and II breast carcinoma. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  J. Krischer,et al.  Effects of health insurance and race on breast carcinoma treatments and outcomes , 2000, Cancer.

[19]  A. Jemal,et al.  Breast Cancer Statistics , 2013 .

[20]  M. Narabayashi,et al.  Construction and validation of a practical prognostic index for patients with metastatic breast cancer. , 1998, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[21]  J. Gurwitz,et al.  Use of breast-conserving surgery for treatment of stage I and stage II breast cancer. , 1998, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  J Z Ayanian,et al.  The relation between health insurance coverage and clinical outcomes among women with breast cancer. , 1994, The New England journal of medicine.

[23]  M. Gold,et al.  Health Insurance and Mortality: Evidence From a National Cohort , 1993 .

[24]  A B Nattinger,et al.  Geographic variation in the use of breast-conserving treatment for breast cancer. , 1992, The New England journal of medicine.

[25]  G. Hortobagyi,et al.  Multivariate analysis of prognostic factors in metastatic breast cancer. , 1983, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.