Recovery and survival from aging-associated diseases.
Abstract
OBJECTIVES: Considering disease incidence to be a main contributor to healthy lifespan
of the US elderly population may lead to erroneous conclusions when recovery/long-term
remission factors are underestimated. Using two Medicare-based population datasets,
we investigated the properties of recovery from eleven age-related diseases. METHODS:
Cohorts of patients who stopped visiting doctors during a five-year follow-up since
disease onset were analyzed non-parametrically and using the Cox proportional hazard
model resulted in estimated recovery and survival rates and evaluated the health state
of recovered individuals by comparing their survival with non-recovered patients and
the general population. RESULTS: Recovered individuals had lower death rates than
non-recovered patients, therefore, patients who stopped visiting doctors are a healthier
subcohort. However, they had higher death rates than in general population for all
considered diseases, therefore the complete recovery does not occur. CONCLUSION: Properties
of recovery/long-term remission among the US population of older adults with chronic
diseases were uncovered and evaluated. The results allow for a better quantifiable
contribution of age-related diseases to healthy life expectancy and improving forecasts
of health and mortality.
Type
Journal articleSubject
Chronic disease onsetLong-term remission
Medicare
Population-based analysis
Recovery
Age Factors
Aged
Aged, 80 and over
Cohort Studies
Coronary Disease
Female
Follow-Up Studies
Humans
Kaplan-Meier Estimate
Longitudinal Studies
Male
Medicare
Mortality
Neoplasms
Proportional Hazards Models
Recovery of Function
Stroke
Survival Rate
United States
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https://hdl.handle.net/10161/14833Published Version (Please cite this version)
10.1016/j.exger.2013.05.056Publication Info
Akushevich, Igor; Kravchenko, Julia; Ukraintseva, Svetlana; Arbeev, Konstantin; &
Yashin, Anatoliy I (2013). Recovery and survival from aging-associated diseases. Exp Gerontol, 48(8). pp. 824-830. 10.1016/j.exger.2013.05.056. Retrieved from https://hdl.handle.net/10161/14833.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Igor Akushevich
Research Professor in the Social Science Research Institute
Konstantin Arbeev
Associate Research Professor in the Social Science Research Institute
Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State
University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics
and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical
Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was
a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock
(Germany) before moving to Duke University in 2004 to work as a Resea
Svetlana Ukraintseva
Research Professor in the Social Science Research Institute
Dr. Ukraintseva studies causes of human aging and related decline in resilience, to
identify genetic and other factors responsible for the increase in mortality risk
with age eventually limiting longevity. She explores complex relationships, including
trade-offs, between physiological aging-changes and risks of major diseases (with
emphasis on Alzheimer’s and cancer), as well as survival, to find new genetic and
other targets for anti-aging interventions and disease prevention. S
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
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