A comprehensive prognostic index to predict survival based on multiple comorbidities - A focus on breast cancer

Citation
St. Fleming et al., A comprehensive prognostic index to predict survival based on multiple comorbidities - A focus on breast cancer, MED CARE, 37(6), 1999, pp. 601-614
Citations number
35
Categorie Soggetti
Public Health & Health Care Science","Health Care Sciences & Services
Journal title
MEDICAL CARE
ISSN journal
00257079 → ACNP
Volume
37
Issue
6
Year of publication
1999
Pages
601 - 614
Database
ISI
SICI code
0025-7079(199906)37:6<601:ACPITP>2.0.ZU;2-R
Abstract
BACKGROUND. The presence of comorbidities often influences clinical decisio n-making, although many studies exclude patients with comorbid disease for the sake of analysis. OBJECTIVES. The purpose of this study was to develop a Comprehensive Progno stic Index (CPT), designed specifically for breast cancer patients. RESEARCH DESIGN, This study linked Medicare claims with the Kentucky Cancer Registry and developed two models based on 1 year survival; one focused on deaths caused by breast canter and the other on deaths from all causes. Co morbidities were derived from inpatient and ambulatory claims for up to 2 y ears before the diagnosis of breast cancer. SUBJECTS. Subjects included a cohort of 848 elderly women first diagnosed w ith breast cancer in the state of Kentucky in 1993. MEASURES. Each model identified the comorbidities specific to breast cancer that were detrimental to survival, and generated a refined comorbidity ind ex. The CPI integrated these measures with age and stage of cancer into a c omprehensive prognostic index. RESULTS. Nearly two-thirds of the patients had evidence of at least one com orbidity, Survival rates decreased with age, more advanced stage, and incre ased comorbidity burden, as expected. The interaction of comorbidity burden with either age or stage was particularly strong for the older and more ad vanced stage of cancer. CONCLUSIONS, The CPI could be a useful tool in breast cancer intervention s tudies and a prognostic aid for clinicians.