ESPE2024 Free Communications Fat, Metabolism and Obesity 1 (6 abstracts)
1Pediatric Clinic and Endocrinology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy. 2Division of Paediatric Endocrinology and Diabetes, Department of Paediatrics and Adolescent Medicine, Ulm University, Ulm, Germany. 3DINOGMI (Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health), University of Genoa, Genoa, Italy. 4Obesity Rehabilitation Centre INSULA, Berchtesgaden, Germany
Introduction: Impaired insulin sensitivity (IS) is a hallmark of increased cardiometabolic risk in adolescents with obesity. Surrogate markers of IS based on fasting insulin have important limitations. The Single-Point Insulin Sensitivity Estimator-Index (SPISE), obtained using the mathematical formula 600 × HDL-C^0.185/Triglycerides^0.2 × BMI^1.338, has been shown to be a predictor for detecting both insulin resistance and the risk of developing glucose intolerance or type 2 diabetes mellitus (PMID: 34142364, 36677025). Here, we compared the correlations between baseline SPISE index and the well known HOMA-IR and cardiometabolic risk factors in adolescents with extreme obesity (AwEO) as well as changes in SPISE index and HOMA-IR and changes in cardiovascular risk factors after extensive weight loss by long term lifestyle intervention. Furthermore, we studied whether SPISE index can serve as predictor for weight loss achieved.
Methods: SPISE index and HOMA-IR were calculated in n = 107 AwEO (age: 15.2±2.3yrs; females n = 59; BMI SDS: 3.3±0.6) at the start and at the end of a long-term inpatient lifestyle intervention program (5.70±2.32 months). Correlations between SPISE index, HOMA-IR and waist circumference (WC), CRP, IL-6, AST, ALT, GGT, at baseline and under intervention were analysed. Furthermore, weight loss in n = 10 AwEO with high SPISE index (indicating high IS) and n = 10 AwEO with low SPISE index (indicating low IS) matched for age, sex, and BMI was compared.
Results: At baseline, SPISE index correlated better with WC (r =-0.82, P <0.0001) than HOMA-IR (r =0.26, P <0.05). SPISE index was strongly correlated with AST levels (r =-0.55, P <0.05), and with IL-6 levels (r =-0.47, P <0.0001), whereas both parameters did not correlate with HOMA-IR (AST: r =0.03, P >0.05; IL-6: r =0.16, P >0.05). The change in SPISE (ΔSPISE) during the intervention correlated better with the observed change in WC (r =-0.63, P <0.0001) than ΔHOMA-IR (r =0.31, P <0.05). Changes in levels of AST were significantly correlated with ΔSPISE (r =-0.21, P <0.05), but not with ΔHOMA-IR (P >0.05). Changes in cardiometabolic risk, as calculated by MetS severity score (PMID:26783022), were strongly correlated with ΔSPISE (r =-0.56, P <0.001), but not with ΔHOMA-IR (r =0.15, P >0.05). We found that adolescents with a high SPISE index at baseline showed a significantly greater reduction in %BMI per month (-3.9±1.2%) than those with a low SPISE index (-2.9±0.7%; P <0.05).
Discussion: SPISE index correlated more strongly with cardiometabolic risk factors than HOMA-IR in AwEO. The SPISE index appears to be a useful marker of cardiovascular risk in AwEO and may serve as a predictor of weight loss during lifestyle intervention.