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20 LYG were determined by calculating Life Years Lost LYLL) of the patients who deceased in the hospital, using life tables for the Dutch population combined with age and sex, 21 with LYG defined as the difference in LYL between regimens.
The following variables were analyzed: origin of liver disease, cause of decompensation, SOFA, APACHE II, SAPS II, MELD, lactate, bilirubin, INR (calculating "LiFe" score), mortality and mortality at 30 days.
Two traditional life table methods of calculating life expectancy, Chiang, 1 2 and Silcocks, 3 were investigated in addition to a third Bayesian random effects model of life expectancy.
At this population size, estimates should be relatively free from overestimation bias, 4 5 7 and we selected this population as the limit for calculating life expectancy using adjusted Chiang II.
The main strength of this study is that the proposed hybrid method for calculating life expectancy for public reporting reflects common and accepted use among government agencies by employing the adjusted Chiang II for larger populations, while implementing the recently developed Bayesian approach to obtain more precise estimations for small populations.
However, this phenomenon is well known in the clinical epidemiologic literature (16– 18), as well as in the occupational epidemiology literature (19), and standard analytical solutions exist (e.g., by calculating life tables with left-truncation, or by calculating person-years of exposure in different categories of follow-up time) (19– 219.
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They used death certificates, interviews, surveys, censuses, and records from hospitals and police stations to calculate life expectancy since 1970 and count the number of deaths by disease from 1990 to 2010.
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One study [32] used life expectancy data to estimate mortality in their model; UK life tables were used to calculate life expectancy of non-AD group, and AD mortality was based on life expectancy obtained from another UK study [49].
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