TY - JOUR
TI - Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort. The Feel4Diabetes-study
AU - Mavrogianni, C.
AU - Lambrinou, C.-P.
AU - Androutsos, O.
AU - Lindström, J.
AU - Kivelä, J.
AU - Cardon, G.
AU - Huys, N.
AU - Tsochev, K.
AU - Iotova, V.
AU - Chakarova, N.
AU - Rurik, I.
AU - Moreno, L.A.
AU - Liatis, S.
AU - Makrilakis, K.
AU - Manios, Y.
JO - Diabetes Research and Clinical Practice
PY - 2019
VL - 150
TODO - null
SP - 99-110
PB - Elsevier Ireland Ltd
SN - 0168-8227
TODO - 10.1016/j.diabres.2019.02.017
TODO - adult;  Article;  Belgium;  Bulgaria;  cardiometabolic risk;  cohort analysis;  controlled study;  diagnostic accuracy;  diagnostic test accuracy study;  dysglycemia;  European;  female;  Finland;  Finnish Diabetes Risk Score;  Greece;  high income country;  human;  Hungary;  low income country;  male;  middle income country;  non insulin dependent diabetes mellitus;  receiver operating characteristic;  scoring system;  screening;  self report;  sensitivity and specificity;  social status;  Spain;  vulnerable population
TODO - Aim: To assess the diagnostic accuracy of the FINDRISC for undiagnosed type 2 diabetes mellitus (T2DM) and dysglycaemia (i.e. the presence of prediabetes or T2DM) among early middle-aged adults from vulnerable groups in a large-scale European cohort. Methods: Participants were recruited from low-socioeconomic areas in high-income countries (HICs) (Belgium-Finland) and in HICs under austerity measures (Greece-Spain) and from the overall population in low/middle-income countries (LMICs) (Bulgaria-Hungary). Study population comprised of 2116 parents of primary-school children from families identified at increased risk of T2DM, based on parental self-reported FINDRISC. Sensitivity (Se), specificity (Sp), area under the receiver operating characteristic curves (AUC-ROC) and the optimal cut-offs of FINDRISC that indicate an increased probability for undiagnosed T2DM or dysglycaemia were calculated. Results: The AUC-ROC for undiagnosed T2DM was 0.824 with optimal cut-off ≥14 (Se = 68%, Sp = 81.7%) for the total sample, 0.839 with optimal cut-off ≥15 (Se = 83.3%, Sp = 86.9%) for HICs, 0.794 with optimal cut-off ≥12 (Se = 83.3%, Sp = 61.1%) for HICs under austerity measures and 0.882 with optimal cut-off ≥14 (Se = 71.4%, Sp = 87.8%) for LMICs. The AUC-ROC for dysglycaemia was 0.663 with optimal cut-off ≥12 (Se = 58.3%, Sp = 65.7%) for the total sample, 0.656 with optimal cut-off ≥12 (Se = 54.5%, Sp = 64.8%) for HICs, 0.631 with optimal cut-off ≥12 (Se = 59.7%, Sp = 62.0%) for HICs under austerity measures and 0.735 with optimal cut-off ≥11 (Se = 72.7%, Sp = 70.2%) for LMICs. Conclusion: FINDRISC can be applied for screening primarily undiagnosed T2DM but also dysglycaemia among vulnerable groups across Europe, considering the use of different cut-offs for each subpopulation. © 2019 Elsevier B.V.
ER -