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dc.contributor.authorKoopman, Jacob J E
dc.contributor.authorRozing, Maarten P
dc.contributor.authorKramer, Anneke
dc.contributor.authorAbad, José M
dc.contributor.authorFinne, Patrik
dc.contributor.authorHeaf, James G
dc.contributor.authorHoitsma, Andries J
dc.contributor.authorDe Meester, Johan M J
dc.contributor.authorPalsson, Runolfur
dc.contributor.authorPostorino, Maurizio
dc.contributor.authorRavani, Pietro
dc.contributor.authorWanner, Christoph
dc.contributor.authorJager, Kitty J
dc.contributor.authorvan Bodegom, David
dc.contributor.authorWestendorp, Rudi G J
dc.date.accessioned2016-06-30T15:53:34Z
dc.date.available2016-06-30T15:53:34Z
dc.date.issued2016-04
dc.date.submitted2016
dc.identifier.citationCalculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry. 2016, 71 (4):468-74 J. Gerontol. A Biol. Sci. Med. Sci.en
dc.identifier.issn1758-535X
dc.identifier.pmid25887122
dc.identifier.doi10.1093/gerona/glv042
dc.identifier.urihttp://hdl.handle.net/2336/615179
dc.descriptionTo access publisher's full text version of this article click on the hyperlink at the bottom of the pageen
dc.description.abstractThe 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.
dc.description.sponsorshipEuropean Renal Association-European Dialysis and Transplant Association (ERA-EDTA)en
dc.language.isoenen
dc.publisherOxford Univ Pressen
dc.relation.urlhttp://dx.doi.org/ 10.1093/gerona/glv042en
dc.relation.urlhttp://biomedgerontology.oxfordjournals.org/content/71/4/468.full.pdfen
dc.rightsArchived with thanks to The journals of gerontology. Series A, Biological sciences and medical sciencesen
dc.subjectDánartíðnien
dc.subjectSkráren
dc.subjectAldraðiren
dc.subjectNEP12
dc.subject.meshMortalityen
dc.subject.meshRegistriesen
dc.subject.meshEuropeen
dc.subject.meshAgingen
dc.subject.meshPatient-Specific Modelingen
dc.titleCalculating the Rate of Senescence From Mortality Data: An Analysis of Data From the ERA-EDTA Registry.en
dc.typeArticleen
dc.contributor.department[ 1 ] Leiden Univ, Dept Gerontol & Geriatr, Med Ctr, Postal Zone C7-Q,Post Box 9600, NL-2300 RC Leiden, Netherlands [ 2 ] Leyden Acad Vital & Ageing, Leiden, Netherlands [ 3 ] GGZ inGeest, Amsterdam, Netherlands [ 4 ] Acad Med Ctr Amsterdam, Dept Med Informat, ERA EDTA Registry, Amsterdam, Netherlands [ 5 ] Hlth & Consumers Affairs Dept Aragon, Hlth Planning Dept, Renal Registry Aragon, Zaragoza, Spain [ 6 ] Finnish Registry Kidney Dis, Helsinki, Finland [ 7 ] Univ Helsinki, Cent Hosp, Dept Nephrol, Helsinki, Finland [ 8 ] Univ Copenhagen, Herlev Hosp, Dept Nephrol B, DK-2730 Herlev, Denmark [ 9 ] Radboud Univ Nijmegen, Med Ctr, Dept Nephrol, NL-6525 ED Nijmegen, Netherlands [ 10 ] AZ Nikolaas, Dept Nephrol Dialysis & Hypertens, St Niklaas, Belgium [ 11 ] Landspitali Natl Univ Hosp Iceland, Div Nephrol, Reykjavik, Iceland [ 12 ] Univ Iceland, Sch Hlth Sci, Fac Med, Reykjavik, Iceland [ 13 ] Azienda Osped Reggio Calabria, Dialysis & Transplantat Unit, Nephrol, Reggio Di Calabria, Italy [ 14 ] Univ Calgary, Dept Med, Div Nephrol, Calgary, AB T2N 1N4, Canada [ 15 ] Univ Wurzburg, Dept Internal Med 1, Div Nephrol, Wurzburg, Germany [ 16 ] Univ Copenhagen, Fac Hlth & Med Sci, Dept Publ Hlth, Copenhagen, Denmarken
dc.identifier.journalThe journals of gerontology. Series A, Biological sciences and medical sciencesen
dc.rights.accessNational Consortium - Landsaðganguren
html.description.abstractThe 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.


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