Literature DB >> 25887122

Calculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry.

Jacob J E Koopman1, Maarten P Rozing2, Anneke Kramer3, José M Abad4, Patrik Finne5, James G Heaf6, Andries J Hoitsma7, Johan M J De Meester8, Runolfur Palsson9, Maurizio Postorino10, Pietro Ravani11, Christoph Wanner12, Kitty J Jager3, David van Bodegom13, Rudi G J Westendorp14.   

Abstract

The rate of senescence can be inferred from the acceleration by which mortality rates increase over age. Such a senescence rate is generally estimated from parameters of a mathematical model fitted to these mortality rates. However, such models have limitations and underlying assumptions. Notably, they do not fit mortality rates at young and old ages. Therefore, we developed a method to calculate senescence rates from the acceleration of mortality directly without modeling the mortality rates. We applied the different methods to age group-specific mortality data from the European Renal Association-European Dialysis and Transplant Association Registry, including patients with end-stage renal disease on dialysis, who are known to suffer from increased senescence rates (n = 302,455), and patients with a functioning kidney transplant (n = 74,490). From age 20 to 70, senescence rates were comparable when calculated with or without a model. However, when using non-modeled mortality rates, senescence rates were yielded at young and old ages that remained concealed when using modeled mortality rates. At young ages senescence rates were negative, while senescence rates declined at old ages. In conclusion, the rate of senescence can be calculated directly from non-modeled mortality rates, overcoming the disadvantages of an indirect estimation based on modeled mortality rates.
© The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Acceleration of mortality; Aging; Gompertz model.; Modeling; Senescence; Senescence rate

Mesh:

Year:  2015        PMID: 25887122     DOI: 10.1093/gerona/glv042

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  1 in total

1.  Measuring aging rates of mice subjected to caloric restriction and genetic disruption of growth hormone signaling.

Authors:  Jacob J E Koopman; Diana van Heemst; David van Bodegom; Michael S Bonkowski; Liou Y Sun; Andrzej Bartke
Journal:  Aging (Albany NY)       Date:  2016-03       Impact factor: 5.682

  1 in total

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