Lee Schonberg Index

  • Population: Community dwelling adults aged 50 and older
  • Outcome: All cause 4, 5, 10 and 14 year mortality
  • Scroll to the bottom for more detailed information
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Risk Calculator
2.  What is the sex of your patient?
    
5.  Does your patient have chronic lung disease, such as emphysema or chronic bronchitis?
    
6.  Has your patient ever had cancer (excluding minor skin cancers)?
    
7.  Does your patient have congestive heart failure?
    
8.  Does your patient have diabetes or high blood sugar?
    
10. Does your patient have difficulty walking 1/4 mile (several city blocks) without help from other people or special equipment?
    
12. Because of a physical, mental or emotional problem, does your patient need the help of others in handling routine needs such as everyday household chores, doing necessary business, shopping, or getting around for other purposes?
    
13. Because of a health or memory problem, does your patient have difficulty managing money - such as paying bills and keeping track of expenses?
    
14. Because of a health or memory problem, does your patient have difficulty with bathing or showering?
    
15. Because of a health problem, does your patient have difficulty pushing or pulling large objects like a living room chair?
    
Total Lee Index Points: 0
Total Schonberg Index Points: 0


Lee Index

  • This index was developed in 11,701 community-dwelling adults from the eastern, western and central United States who were interviewed in the Health Retirement Survey in 1998 (mean age 67, 57% female, 81% white, 12% 4-year mortality).
  • The index was internally validated in 8009 Health Retirement Survey interviewees from the southern United States (mean age 67, 57% female, 71% white, 13% 4-year mortality) and externally validated in 7042 English Longitudinal Study on Ageing interviewees.
  • Discrimination: This risk calculator sorts patients who died from patients who lived correctly 82% of the time (c-statistic). The life expectancy calculator sorts patients who lived longer from patients who lived shorter correctly 78-80% of the time in the validation studies.
    very good
  • Calibration: The model was well calibrated across all risk levels with less than 3% difference between estimated and actual mortality rates.

Schonberg Index

  • This index was developed in 16,077 community dwelling older adults who responded to the 1997-2000 National Health Interview (NHIS) (27% >80 years old, 60% female, 85% white, 17% 5-year mortality)
  • The index was internally validated in a random sample of 8038 from respondents from the same data source from 2001-2004 and followed through 2006 (27% >80 years old, 60% female, 85% white, 17% 5-year mortality). The index was internally validated in 16,063 respondents from the original development cohort and 8,027 respondents from the original validation cohort from 1997-2000 and followed through 2011 (10 and 14-year mortality).
  • Discrimination: This risk calculator sorts patients who died within 5 years from patients who lived correctly 75% of the time (c-statistic). The discrimination was the same in the independent validation study. For 10 year and 14 year mortality the calculator sorts patients correctly 73% and 72% of the time.
    good
  • Calibration: The model was well calibrated across all risk levels with less than 10% difference between estimated and actual mortality.

Citations

Additional Validation Citations

DISCLAIMER

The information provided on ePrognosis is designed to complement, not replace, the relationship between a patient and his/her own medical providers. ePrognosis was created with the support of the Division of Geriatrics at the University of California San Francisco. However, its content is strictly the work of its authors and has no affiliation with any organization or institution. This web site does not accept advertisements. If you reproduce the material on the website please cite appropriately. For feedback and questions regarding the site please email Sei Lee, MD (sei.lee@ucsf.edu), Alex Smith, MD (aksmith@ucsf.edu) or Eric Widera, MD (eric.widera@ucsf.edu).