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

Research output: Contribution to journalJournal articleResearchpeer-review

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Calculating the Rate of Senescence From Mortality Data : An Analysis of Data From the ERA-EDTA Registry. / Koopman, Jacob J E; Rozing, Maarten P; Kramer, Anneke; Abad, José M; Finne, Patrik; Heaf, James G; Hoitsma, Andries J; De Meester, Johan M J; Palsson, Runolfur; Postorino, Maurizio; Ravani, Pietro; Wanner, Christoph; Jager, Kitty J; van Bodegom, David; Westendorp, Rudi G J.

In: Journals of Gerontology. Series A: Biological Sciences & Medical Sciences, Vol. 71, No. 4, 04.2016, p. 468-474.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Koopman, JJE, Rozing, MP, Kramer, A, Abad, JM, Finne, P, Heaf, JG, Hoitsma, AJ, De Meester, JMJ, Palsson, R, Postorino, M, Ravani, P, Wanner, C, Jager, KJ, van Bodegom, D & Westendorp, RGJ 2016, 'Calculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry', Journals of Gerontology. Series A: Biological Sciences & Medical Sciences, vol. 71, no. 4, pp. 468-474. https://doi.org/10.1093/gerona/glv042

APA

Koopman, J. J. E., Rozing, M. P., Kramer, A., Abad, J. M., Finne, P., Heaf, J. G., ... Westendorp, R. G. J. (2016). Calculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry. Journals of Gerontology. Series A: Biological Sciences & Medical Sciences, 71(4), 468-474. https://doi.org/10.1093/gerona/glv042

Vancouver

Koopman JJE, Rozing MP, Kramer A, Abad JM, Finne P, Heaf JG et al. Calculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry. Journals of Gerontology. Series A: Biological Sciences & Medical Sciences. 2016 Apr;71(4):468-474. https://doi.org/10.1093/gerona/glv042

Author

Koopman, Jacob J E ; Rozing, Maarten P ; Kramer, Anneke ; Abad, José M ; Finne, Patrik ; Heaf, James G ; Hoitsma, Andries J ; De Meester, Johan M J ; Palsson, Runolfur ; Postorino, Maurizio ; Ravani, Pietro ; Wanner, Christoph ; Jager, Kitty J ; van Bodegom, David ; Westendorp, Rudi G J. / Calculating the Rate of Senescence From Mortality Data : An Analysis of Data From the ERA-EDTA Registry. In: Journals of Gerontology. Series A: Biological Sciences & Medical Sciences. 2016 ; Vol. 71, No. 4. pp. 468-474.

Bibtex

@article{68487bf72f624b5491328f101e80d9c4,
title = "Calculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry",
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.",
author = "Koopman, {Jacob J E} and Rozing, {Maarten P} and Anneke Kramer and Abad, {Jos{\'e} M} and Patrik Finne and Heaf, {James G} and Hoitsma, {Andries J} and {De Meester}, {Johan M J} and Runolfur Palsson and Maurizio Postorino and Pietro Ravani and Christoph Wanner and Jager, {Kitty J} and {van Bodegom}, David and Westendorp, {Rudi G J}",
note = "{\circledC} 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.",
year = "2016",
month = "4",
doi = "10.1093/gerona/glv042",
language = "English",
volume = "71",
pages = "468--474",
journal = "Journals of Gerontology. Series A: Biological Sciences & Medical Sciences",
issn = "1079-5006",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Calculating the Rate of Senescence From Mortality Data

T2 - An Analysis of Data From the ERA-EDTA Registry

AU - Koopman, Jacob J E

AU - Rozing, Maarten P

AU - Kramer, Anneke

AU - Abad, José M

AU - Finne, Patrik

AU - Heaf, James G

AU - Hoitsma, Andries J

AU - De Meester, Johan M J

AU - Palsson, Runolfur

AU - Postorino, Maurizio

AU - Ravani, Pietro

AU - Wanner, Christoph

AU - Jager, Kitty J

AU - van Bodegom, David

AU - Westendorp, Rudi G J

N1 - © 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.

PY - 2016/4

Y1 - 2016/4

N2 - 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.

AB - 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.

U2 - 10.1093/gerona/glv042

DO - 10.1093/gerona/glv042

M3 - Journal article

C2 - 25887122

VL - 71

SP - 468

EP - 474

JO - Journals of Gerontology. Series A: Biological Sciences & Medical Sciences

JF - Journals of Gerontology. Series A: Biological Sciences & Medical Sciences

SN - 1079-5006

IS - 4

ER -

ID: 140394664