Background: Many guidelines recommend considering health status and life expectancy when making cancer screening decisions for elderly persons. Objective: To estimate life expectancy for elderly persons without a history of cancer, taking into account comorbid conditions. Design: Population-based cohort study. Setting: A 5% sample of Medicare beneficiaries in selected geographic areas, including their claims and vital status information. Participants: Medicare beneficiaries aged 66 years or older between 1992 and 2005 without a history of cancer (n = 407 749). Measurements: Medicare claims were used to identify comorbid conditions included in the Charlson index. Survival probabilities were estimated by comorbidity group (no, low/medium, and high) and for the 3 most prevalent conditions (diabetes, chronic obstructive pulmonary disease, and congestive heart failure) by using the Cox proportional hazards model. Comorbidity-adjusted life expectancy was calculated based on comparisons of survival models with U. S. life tables. Survival probabilities from t Results: Persons with higher levels of comorbidity had shorter life expectancies, whereas those with no comorbid conditions, including very elderly persons, had favorable life expectancies relative to an average person of the same chronological age. The estimated life expectancy at age 75 years was approximately 3 years longer for persons with no comorbid conditions and approximately 3 years shorter for those with high comorbidity relative to the average U. S. population. Limitations: The cohort was limited to Medicare fee-for-service beneficiaries aged 66 years or older living in selected geographic areas. Data from the Surveillance, Epidemiology, and End Results cancer registry and Medicare claims lack information on functional status and severity of comorbidity, which might influence life expectancy in elderly persons. Conclusion: Life expectancy varies considerably by comorbidity status in elderly persons. Comorbidity-adjusted life expectancy may help physicians tailor recommendations for stopping or continuing cancer screening for individual patients.
|Journal||Annals of Internal Medicine|
|Publication status||Published - 2013|