Skip to main navigation Skip to search Skip to main content

Detection of undiagnosed diabetes and other hyperglycemia states: The atherosclerosis risk in communities study

  • Maria Ines Schmidt
  • , Bruce B. Duncan
  • , Alvaro Vigo
  • , James Pankow
  • , Christie M. Ballantyne
  • , David Couper
  • , Frederick Brancati
  • , Aaron R. Folsom

Research output: Contribution to journal › Article › peer-review

Abstract

OBJECTIVE - To evaluate screening strategies based on fasting plasma glucose (FPG), clinical information, and the oral glucose tolerance test (OGTT) for detection of diabetes or other hyperglycemic states - impaired fasting glucose (IFG) and impaired glucose tolerance-meriting clinical intervention. RESEARCH DESIGN AND METHODS - We studied 8,286 African-American and white men and women without known diabetes, aged 53-75 years, who received an OGTT during the fourth exam of the Atherosclerosis Risk in Communities Study. Using a split sample technique, we estimated the diagnostic properties of various clinical detection rules derived from logistic regression modeling. Screening strategies utilizing FPG, these detection rules, and/or the OGTT were then compared in terms of both the fraction of hyperglycemia cases detected and the sample fraction receiving different screening tests and identified as screen positive. RESULTS - Screening based on the IFG cut point (≥6.1 mmol/l), followed by a clinical detection rule for those below this value, detected 86.3%)% of diabetic case subjects and 66.0% of all hyperglycemia cases, identifying 42% of the sample as screen positive. Applying an OGTT for those positive by the rule provides diagnostic labeling and reduces the fraction that is screen positive to 29%. Another strategy, to apply an OGTT to those with an FPG cut point between 5.6 and 6.1 mmol/l, also identifies 29% of the sample as screen positive, although it detects slightly fewer hyperglycemia cases. CONCLUSIONS - Screening strategies based on FPG, complemented by clinical detection rules and/or an OGTT, are effective and practical in the detection of hyperglycemic states meriting clinical intervention.

Original languageEnglish (US)
Pages (from-to)1338-1343
Number of pages6
JournalDiabetes care
Volume26
Issue number5
DOIs
StatePublished - May 1 2003

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Detection of undiagnosed diabetes and other hyperglycemia states: The atherosclerosis risk in communities study'. Together they form a unique fingerprint.

Cite this