Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up. Method: DRS ...
Industry We compared the performance of DANCAMI with the Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index (ECI) and evaluated whether DANCAMI comorbidities not
Industry Objective To evaluate current risk models and scores for type 2 diabetes and inform selection and implementation of these in practice. Design Systematic review using standard (quantitative) and
Industry Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up.
Industry Whether risk scores enable accurate estimation of absolute risk remains unknown; thus, care is needed when using scores to communicate absolute diabetes risk to individuals. Several risk scores predict
Industry The final model is shown in the last four columns. A score for each variable in the model wa ADDITION pilot study were 47.9 (42.3– 53.6) and 45.2% (27.3–64.0), respectively.
Industry Here we describe the training and validation of the PreDx™ Diabetes Risk Score (DRS) model in a clinical laboratory setting using baseline serum samples from subjects in the Inter99 cohort, a
Industry The Danish risk stratification model for patients with type 2 diabetes. All parameters in level 1 have to be fulfilled to be allocated to risk stratification level 1.
Industry We developed comorbidity indices predicting 1-year all-cause mortality from all comorbidities (DANCAMI) and restricted to non-cardiovascular comorbidities (rDANCAMI). For variable selection,
Industry The DANISH Score is derived from the DANISH trial (Køber et al., 2016) to estimate the potential benefit of implantable cardioverter-defibrillator (ICD) therapy in patients with non-ischemic systolic heart failure.
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