FINDRISC or PRESS Scores for the Prediction of Prediabetes Risk: Assessing and Comparing Their Performance Among the Lebanese University Workers

Abstract

Objective: Compare and Assess the performance of two screening tools: FINDRISC and PRESS in the prediction of prediabetes risk among the Lebanese university workers.

Material and methods: This cross-sectional study involves 508 individuals working at the Lebanese university. Participants were subjected to fasting blood glucose and 2-h oral glucose tolerance test. Logistic regression is fitted for 2 models that predict prediabetes: FINDRISC and PRESS; the area under the curve (AUC) was calculated for both to assess their diagnostic accuracy.

Results: In our sample, the prevalence of prediabetes is 23.8%. After fitting the logistic regression for FINDRISC model, only age, history of high blood sugar and BMI predictors were statistically significant, and for the PRESS model, only waist to height ratio with age (numerical) were statistically significant. The AUC were 0.67 and 0.587 respectively for FINDRISC and PRESS.

Conclusion: FINDRISC score can be used for the prediction of prediabetes among the Lebanese university worker community, having a similar performance compared with communities. While PRESS score did not have a good performance in our study population.