… used outcome measures in … comorbidity measures that account for an individual's
progression of disease would be more effective predictors of survival than point in time measures…

… The importance of comorbidities is that they can alter … of survival analysis. Objective The
objective of this study was to determine the best comorbidity index to use in survival analysis of …

… Our study is the first to directly compare the Charlson and Elixhauser comorbidity
measures for survival prediction in colorectal cancer patients. Choosing optimal risk-adjustment …

… for measuring comorbidity in medical patients, so one has to use other comorbidity measures
… was based on parameters obtained from survival analysis, proportional hazards models, …

… are appropriate prognostic or adjustment mechanisms in survival analyses. Once one … , 19
we consider comorbidity measures developed similarly to the Charlson Comorbidity Index. To …

… are measurable by current instruments and the extent to which change in comorbidity alters
… analyses is to assess the association of comorbidity, measured using the ICED, with survival …

… Survival was measured in months from the date of admission to the hospital (zero time) to …
issue of validating a method of measuring the prognostic impact of comorbid disease, it cannot …

… Conclusions We found that comorbidity has a significant indirect effect on survival mediated
… that comorbidity has an effect on survival.9 ,10 However, comorbidity may influence survival …

… used for analysis of clinical measurements on admission of … Our temporal and survival
analysis define four comorbidity risks … Kaplan Meier survival analysis can be used to demonstrate …

… These conditions are referred to as comorbidities. They can influence the treatment option, …
the survival analysis. Objective: It was the aim of this study to measure comorbidities in pa…