Skin Autofluorescence (AF) Decision Tree in Detecting Impaired Glucose Tolerance (IGT) or Diabetes Mellitus (DM)

Early detection of (pre)diabetes, including impaired glucose tolerance is currently deficient because the best accepted standard, an oral glucose tolerance test (oGTT), is not feasible in a setting of screening or broad case-finding and other current methods lack in sensitivity. A previously reported study, and analysis of retrospective skin autofluorescence (AF) data, suggests that noninvasive skin AF may offer an alternative for detection of (pre)diabetes. The objective is to test the validity of a decision tree based on skin autofluorescence, and some simple clinical characteristics, as a detection tool for diabetes and impaired glucose tolerance. Sensitivity and specificity, positive and negative predictive value of this skin AF based decision model will be compared to those of fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), and to two short questionnaires (Finnish Findrisk, and Cambridge score).

Study design: Skin AF, HbA1c and an oGTT (including an FPG) will be simultaneously performed in at least 120 persons with the characteristics described in the following paragraph. A Findrisk and Cambridge questionnaire will also be collected.