Abstract

OBJECTIVE
To examine demographic, socioeconomic, and biological risk factors for all-cause, cardiovascular, and noncardiovascular mortality in patients with type 2 diabetes over 8 years and to construct mortality prediction equations.
RESEARCH DESIGN AND METHODS
Beginning in 2000, survey and medical record information was obtained from 8,334 participants in Translating Research Into Action for Diabetes (TRIAD), a multicenter prospective observational study of diabetes care in managed care. The National Death Index was searched annually to obtain data on deaths over an 8-year follow-up period (2000-2007). Predictors examined included age, sex, race, education, income, smoking, age at diagnosis of diabetes, duration and treatment of diabetes, BMI, complications, comorbidities, and medication use.
RESULTS
There were 1,616 (19%) deaths over the 8-year period. In the most parsimonious equation, the predictors of all-cause mortality included older age, male sex, white race, lower income, smoking, insulin treatment, nephropathy, history of dyslipidemia, higher LDL cholesterol, angina/myocardial infarction/other coronary disease/coronary angioplasty/bypass, congestive heart failure, aspirin, β-blocker, and diuretic use, and higher Charlson Index.
CONCLUSIONS
Risk of death can be predicted in people with type 2 diabetes using simple demographic, socioeconomic, and biological risk factors with fair reliability. Such prediction equations are essential for computer simulation models of diabetes progression and may, with further validation, be useful for patient management.

Links

Publisher Full Text

Authors

McEwen LN, Karter AJ, Waitzfelder BE, Crosson JC, Marrero DG, Mangione CM, Herman WH

Institution

Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA. lmattei@med.umich.edu

Source

Diabetes care 35:6 2012 Jun pg 1301-9

MeSH

Body Mass Index
Cardiovascular Diseases
Comorbidity
Diabetes Mellitus, Type 2
Diabetic Angiopathies
Female
Follow-Up Studies
Hemoglobin A, Glycosylated
Humans
Male
Predictive Value of Tests
Prospective Studies
Reproducibility of Results
Risk Assessment
Risk Factors
Translational Medical Research
United States

Pub Type(s)

Journal Article
Multicenter Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.

Language

eng

PubMed ID

22432119