Appraising relative and excess mortality in population-based studies of chronic diseases such as end-stage renal disease | Zendy

Caroline Elie | Zendy; Yann De Rycke | Zendy; Jean-Philippe Jaı̈s | Zendy; Paul Landais | Zendy

Open Access

Appraising relative and excess mortality in population-based studies of chronic diseases such as end-stage renal disease

Author(s) -

Caroline Elie,

Yann De Rycke,

Jean-Philippe Jaı̈s,

Paul Landais

Publication year - 2011

Publication title -

clinical epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.868

H-Index - 58

ISSN - 1179-1349

DOI - 10.2147/clep.s17349

Subject(s) - medicine , relative risk , relative survival , excess mortality , proportional hazards model , population , demography , mortality rate , hazard ratio , absolute risk reduction , cohort , risk of mortality , epidemiology , confidence interval , environmental health , cancer registry , sociology

Modeling excess and relative mortality represents two ways of considering general population mortality rates (ie, background mortality) in cohort studies. Excess mortality is obtained by subtracting the expected mortality from the observed mortality (additive hazard model). Relative mortality is obtained by dividing the observed mortality by the expected mortality (multiplicative hazard model). Our first objective was to compare the results of these two models in a population-based cohort including 5115 dialyzed patients older than 70 years (mean age 79 years, range 70-97 years). Our second objective was to explore an alternative model combining both excess and relative mortality.

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