A Comprehensive Prognostic Index to Predict Survival Based on Multiple Comorbidities
| Autor: | Steven T. Fleming, Amita Rastogi, Kjell D. Johnson, Alexei Dmitrienko |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Oncology
medicine.medical_specialty Kentucky Breast Neoplasms Comorbidity Medicare Severity of Illness Index Age Distribution Breast cancer Predictive Value of Tests Risk Factors Cause of Death Internal medicine Severity of illness medicine Humans Registries Survival analysis Aged Neoplasm Staging Proportional Hazards Models Aged 80 and over Insurance Claim Reporting Proportional hazards model business.industry Public Health Environmental and Occupational Health Reproducibility of Results Cancer Prognosis medicine.disease Survival Analysis United States Cancer registry Population Surveillance Cohort Female Medical Record Linkage business |
| Zdroj: | Medical Care. 37:601-614 |
| ISSN: | 0025-7079 |
| DOI: | 10.1097/00005650-199906000-00009 |
| Popis: | Background The presence of comorbidities often influences clinical decision-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 Prognostic Index (CPI), 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 cancer and the other on deaths from all causes. Comorbidities were derived from inpatient and ambulatory claims for up to 2 years before the diagnosis of breast cancer. Subjects Subjects included a cohort of 848 elderly women first diagnosed with 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 index. The CPI integrated these measures with age and stage of cancer into a comprehensive prognostic index. Results Nearly two-thirds of the patients had evidence of at least one comorbidity. Survival rates decreased with age, more advanced stage, and increased comorbidity burden, as expected. The interaction of comorbidity burden with either age or stage was particularly strong for the older and more advanced stage of cancer. Conclusions The CPI could be a useful tool in breast cancer intervention studies and a prognostic aid for clinicians. |
| Databáze: | OpenAIRE |
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