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Tools for Decision Making Sections
Author Bio
Introduction
Part I
Part II
Age and Co-morbidity
Screening in the Elderly
Case Study 3: Patient Histories

Estimating Life Expectancy

Approach to Screen Decisions
Calculating the Impact of Co-morbid Illness
Currently selected section: Adjusting Life Expectancy
References


Chapter 14: Tools for Decision Making: Adjusting Life Expectancy for Co-morbid Illness
        

Example: A 75-year-old woman wants to know if she should undergo screening mammography. Her self-reported health status is poor, and she has a history of congestive heart failure.

  • Assess risk and review screening history: no exposure to estrogen, inconsistent past screening history; no family history of breast cancer. She is at average risk.
  • Using self-reported health status and, adjusting for co-morbid conditions, determine physiological age and estimate life expectancy:

    • Physiological age from Table (click here for table) = 82

    • Life expectancy estimate from age 82 assuming that the 5-year mortality rate for CHF is 50% = 3.5 years (click here for graph)

  • Determine the time delay between initiating screening and observing a reduction in breast cancer mortality.

    • Delay between screening and benefit in mammography = 5 year (click here for the evidence)
    • Since delay is greater than life expectancy, do not screen.

  • If life expectancy is greater than the time delay until benefit, determine preferences for screening and treatment.
  • Here is a graph showing life expectancy for healthy women (upper curve) and women with congestive heart failure (lower curve) at a particular age.

    • The vertical axis is life expectancy (in years).
    • The horizontal axis is a person's age.

    To obtain a person's life expectancy, find the person's age on the horizontal axis, draw a vertical line up to the curves, and read the person's life expectancy from the vertical axis.

    • If you know the person's health status, use their physiological age.
    • If you don't know person's health status, use their chronological age.

    Figure 3.7.2: Determining Estimated Life Expectancy
    Determining estimated life expectancy, described in text.

    This graph is specific for women with congestive heart failure. If the woman had chronic lung disease or angina pectoris, you would have to create a new table. The steepness of the line describing life expectancy with the chronic illness will vary from illness to illness depending on the death rate from the illness.

    There is a strong theory behind these calculations of life expectancy with chronic illness. If you are interested in learning about how to calculate the person's life expectancy with and without taking into account their chronic illness, click here.


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