Measuring senescence rates of patients with end-stage renal disease while accounting for population heterogeneity: an analysis of data from the ERA-EDTA Registry

Measuring senescence rates of patients with end-stage renal disease while accounting for population heterogeneity: an analysis of data from the ERA-EDTA Registry. Koopman, J. J. E., Kramer, A., van Heemst, D., Åsberg, A., Beuscart, J., Buturović-Ponikvar, J., Collart, F., Couchoud, C. G., Finne, P., Heaf, J. G., Massy, Z. A., De Meester, J. M. J., Palsson, R., Steenkamp, R., Traynor, J. P., Jager, K. J., & Putter, H. Annals of Epidemiology, August, 2016.
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PURPOSE: Although a population's senescence rate is classically measured as the increase in mortality rate with age on a logarithmic scale, it may be more accurately measured as the increase on a linear scale. Patients on dialysis, who suffer from accelerated senescence, exhibit a smaller increase in their mortality rate on a logarithmic scale, but a larger increase on a linear scale than patients with a functioning kidney transplant. However, this comparison may be biased by population heterogeneity. METHODS: Follow-up data on 323,308 patients on dialysis and 91,679 patients with a functioning kidney transplant were derived from the ERA-EDTA Registry. We measured the increases in their mortality rates using Gompertz frailty models that allow individual variation in this increase. RESULTS: According to these models, the senescence rate measured as the increase in mortality rate on a logarithmic scale was smaller in patients on dialysis, while the senescence rate measured as the increase on a linear scale was larger in patients on dialysis than patients with a functioning kidney transplant. CONCLUSIONS: Also when accounting for population heterogeneity, a population's senescence rate is more accurately measured as the increase in mortality rate on a linear scale than a logarithmic scale.

@article{koopman_measuring_2016,
	title = {Measuring senescence rates of patients with end-stage renal disease while accounting for population heterogeneity: an analysis of data from the {ERA}-{EDTA} {Registry}},
	issn = {1873-2585},
	shorttitle = {Measuring senescence rates of patients with end-stage renal disease while accounting for population heterogeneity},
	doi = {10.1016/j.annepidem.2016.08.010},
	abstract = {PURPOSE: Although a population's senescence rate is classically measured as the increase in mortality rate with age on a logarithmic scale, it may be more accurately measured as the increase on a linear scale. Patients on dialysis, who suffer from accelerated senescence, exhibit a smaller increase in their mortality rate on a logarithmic scale, but a larger increase on a linear scale than patients with a functioning kidney transplant. However, this comparison may be biased by population heterogeneity.
METHODS: Follow-up data on 323,308 patients on dialysis and 91,679 patients with a functioning kidney transplant were derived from the ERA-EDTA Registry. We measured the increases in their mortality rates using Gompertz frailty models that allow individual variation in this increase.
RESULTS: According to these models, the senescence rate measured as the increase in mortality rate on a logarithmic scale was smaller in patients on dialysis, while the senescence rate measured as the increase on a linear scale was larger in patients on dialysis than patients with a functioning kidney transplant.
CONCLUSIONS: Also when accounting for population heterogeneity, a population's senescence rate is more accurately measured as the increase in mortality rate on a linear scale than a logarithmic scale.},
	language = {ENG},
	journal = {Annals of Epidemiology},
	author = {Koopman, Jacob J. E. and Kramer, Anneke and van Heemst, Diana and Åsberg, Anders and Beuscart, Jean-Baptiste and Buturović-Ponikvar, Jadranka and Collart, Frederic and Couchoud, Cécile G. and Finne, Patrik and Heaf, James G. and Massy, Ziad A. and De Meester, Johan M. J. and Palsson, Runolfur and Steenkamp, Retha and Traynor, Jamie P. and Jager, Kitty J. and Putter, Hein},
	month = aug,
	year = {2016},
	pmid = {27665405},
	keywords = {Aging, Dialysis, End-stage renal disease, Gompertz model, Kidney Transplantation, Mortality rate, Population heterogeneity, Senescence, Senescence rate, frailty},
}

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