… The performance of comorbidity measures for predicting mortality in chronic disease …
performance of five comorbidity measures for population-based diabetes cohorts in administrative …

… measures are equally valid in different populations. This research examined the predictive
performance of five comorbidity measures in three population-based cohorts. … diabetes cohort …

… fields was accepted in constructing the comorbidity measures used in this study. For the …
The first comorbidity measure derived from hospital records was the Charlson Comorbidity …

… for the diabetic and non-diabetic cohorts is … the diabetic and non-diabetic cohorts. Then,
among the eligible patients, we randomly sampled 2300 diabetic patients as the diabetic cohort …

… In primary care, over 40% of patients with diabetes also have comorbidity [12], which is as
high as 70 to 95% in selected diabetes cohorts [13, 14]. Diabetes treatment may provide lower …

… comorbidity was adjusted using RxRISK, an empirically derived comorbidity measure based
… This pharmacy-based comorbidity adjustor has been found to yield good prediction of …

… cohort, we excluded 13,311 subjects with any positive elements in their Charlson comorbidity
index, … disease, and 281 patients with other comorbidities that might limit life expectancy or …

… This work provides the first complete statistical description of all diabetic comorbidities and
… our patient cohort we can exclude this kind of bias. Note that the size of our patient cohort (…

… a dynamic cohort of diabetes patients … diabetes cohort are described elsewhere [7]. In
short, we included all adult patients (≥18 years of age) with a new diagnosis of type 2 diabetes …

… We used a large prospective cohort that contained detailed … contrast to many other
prospective cohort studies, there was … in a relatively healthy cohort from a higher socioeconomic …