title: Diabetes risk scores and death: predictability and practicability in two different populations.
abstract: The aim was to examine the capacity of commonly used type 2 diabetes mellitus (T2DM) risk scores to predict overall mortality. The US-based NHANES III (n = 3138; 982 deaths) and the Swiss-based CoLaus study (n = 3946; 191 deaths) were used. The predictive value of eight T2DM risk scores regarding overall mortality was tested. The Griffin score, based on few self-reported parameters, presented the best (NHANES III) and second best (CoLaus) predictive capacity. Generally, the predictive capacity of scores based on clinical (anthropometrics, lifestyle, history) and biological (blood parameters) data was not better than of scores based solely on clinical self-reported data. T2DM scores can be validly used to predict mortality risk in general populations without diabetes. Comparison with other scores could further show whether such scores also suit as a screening tool for quick overall health risk assessment.
authors.affiliation: 1 Unit of Demography and Health Statistics and Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland david.faeh@uzh.ch.
authors.forename: David
authors.initials: D
authors.lastname: Faeh
authors.affiliation: 2 Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
authors.forename: Pedro
authors.initials: P
authors.lastname: Marques-Vidal
authors.affiliation: 3 Division of Endocrinology and Diabetes, Kantonsspital St. Gallen, St. Gallen, Switzerland.
authors.forename: Michael
authors.initials: M
authors.lastname: Brändle
authors.affiliation: 1 Unit of Demography and Health Statistics and Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland.
authors.forename: Julia
authors.initials: J
authors.lastname: Braun
authors.affiliation: 1 Unit of Demography and Health Statistics and Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland.
authors.forename: Sabine
authors.initials: S
authors.lastname: Rohrmann
mesh_terms: D000886:Anthropometry; D001786:Blood Glucose; D015992:Body Mass Index; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000401:mortality*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008019:Life Style; D008055:Lipids / Q000097:blood; D008297:Male; D009749:Nutrition Surveys / Q000379:methods / Q000706:statistics & numerical data*; D011446:Prospective Studies; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods / Q000706:statistics & numerical data; D012307:Risk Factors; D057566:Self Report; D012680:Sensitivity and Specificity; D013557:Switzerland / Q000453:epidemiology; D014481:United States / Q000453:epidemiology
chemical_list: D001786:Blood Glucose; D008055:Lipids