ESPE Abstracts (2022) 95 LB14

1Department of Internal Medicine, “S. Maria delle Grazie” Hospital, Pozzuoli, Italy; 2Obesity and Endocrine Disease Unit, Department of Neuroscience, Santobono-Pausilipon Children’s Hospital, Naples, Italy; 3Department of Human Pathology in Adulthood and Childhood, University of Messina, Messina, Italy; 4Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy; 5Department of Surgery, Dentistry, Pediatrics and Gynecology, Section of Pediatric Diabetes and Metabolism, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy; 6Department of Biomedical Sciences and Human Oncology, Pediatric Unit, University of Bari "Aldo Moro", Bari, Italy; 7Section of Pediatrics, Department of Translational Medical Science, Regional Center of Pediatric Diabetes, University of Naples Federico II, Naples, Italy; 8Pediatric Department, "V. Buzzi" Children's Hospital, Milano and Department of Internal Medicine, University of Pavia, Italy., Pavia, Italy; 9Pediatric Unit, IRCCS Azienda Ospedaliero-Universitaria, Bologna, Italy; 10Department of Movement Sciences and Wellbeing, University of Naples “Parthenope” University, Naples, Italy

Aim: To develop a low cost formula as screening tool for identifying youths with overweight/obesity (OW/OB) at risk for impaired glucose tolerance (IGT).

Methods and results: A retrospective observational study was performed in 1189 Caucasian youths with OW/OB aged 5-17 years, in whom information about family history for diabetes (FD), fasting glucose (FG), 2-hour glucose levels post-oral glucose tolerance test, alanine aminotransferase (ALT), and lipids were available at their first visit. Youths with impaired fasting glucose and high HbA1c were excluded from the study. Prevalence of isolated IGT was 6.6% (n =78). Youths with IGT were older, showed higher prevalence of FD, higher levels of FG and post-load glucose, ALT, triglycerides, and low HDL-Cholesterol compared to youths without IGT. The sample was divided into training set (TS) (n =883) and validation set (VS) (n =306). The formula predicting IGT was obtained by logistic regression analysis in the TS, as it follows: 0.043*ALT+0.064*FG+0.87*FD-0.06*HDL. The cut-off of 5.7 showed sensitivity 0.29, specificity 0.95, and overall accuracy 0.91 (0.89-0.93) for detecting IGT. Similar results were found in the VS.

Conclusions: Using low cost variables, this simple formula can help pediatricians to select young people with OW/OB who should perform the OGTT for the screening of IGT.

Volume 95

60th Annual ESPE (ESPE 2022)

Rome, Italy
15 Sep 2022 - 17 Sep 2022

European Society for Paediatric Endocrinology 

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