BackgroundThis study aimed to determine the ability of commonly used insulin resistance indices to identify the metabolic syndrome.Methods183 people referred for outpatient care at the Metabolism Unit of Hospital de Clínicas de Porto Alegre were evaluated with anthropometric, blood pressure, lipid profile, and adiponectin measurements. Glucose tolerance status was determined by 2-h 75-g oral glucose tolerance test and glycosylated hemoglobin. Definition of metabolic syndrome was based on the Joint Interim Statement of different medical associations. Twenty-one indices of insulin resistance were estimated from published equations. The accuracy of these indices was determined by area under the ROC curve (AUC) analysis. In addition, we determined an optimal cut point for each index and its performance as a diagnostic test.ResultsThe study population was comprised of 183 people (73.2% women; 78.7% white; age 52.6 ± 12.0 years, mean ± standard deviation), of whom 140 (76.5%) had metabolic syndrome. The reciprocal of the Gutt index provided the greatest AUC for identification of metabolic syndrome, but there were no statistical differences between Gutt and 11 AUC indices. Gutt presented 86.4% sensitivity and 76.7% specificity to identify metabolic syndrome.ConclusionsA number of commonly employed indices of insulin resistance are capable of identifying individuals with the metabolic syndrome.Electronic supplementary materialThe online version of this article (10.1186/s13098-018-0365-y) contains supplementary material, which is available to authorized users.

Background: Bernard-Soulier Syndrome (BSS) is a rare autosomal recessively inherited bleeding disorder of platelet function. Pregnancy in BSS is associated with a high risk of serious bleeding for both mother and neonate, and current data show no consensual approach. Aim: To report the case of a pregnant woman with BSS, in order to provide more information about management of these cases. Case Presentation: This case report describes a successful pregnancy outcome in a woman with BSS who was closely monitored throughout pregnancy and postpartum period, and had a judiciously planned birth. Conclusion: Management of BSS during pregnancy is still unclear. However, it is important to strictly control platelet counts and plan the birth in advance.

Antoniolli et al.: Accuracy of insulin resistance indices for metabolic syndrome in a population with different degrees of glucose tolerance. Diabetology & Metabolic Syndrome 2015 7(Suppl 1): A115.

Diabetes (to include epidemiology, pathophysiology) Regressors(n = 45) Non-regressors (n = 56) PAge (years) 57.1 ± 11.6 53.1 ± 11.2 0.084 Female -n (%) 32 (71.1) 39 (69.9) 0.874 BMI (kg/m 2 ) 33 ± 6.1 36.5 ± 6.8 0.725Waist circumference (cm) 105.9 ± 13.9 108.3 ± 12.7 0.369 Fasting glucose (mg/dL) 106 (100 -118.5) 108 (97.5 -115.5) 0.128 2-hour glucose (mg/dL) 202 (161.5 -240.5) 170 (157 -219.5) 0.184 A1c (%) 6.1 (5.7 -6.6) 6.1 (5.7 -6.9) 0.862 Time of follow-up (months) 26 ( (cm) 96 ± 14.8 103.6 ± 12.7 105.4 ± 13.2 0.005105.4 (63.8 -196.6) 80.6 (55.1 -120.5) 68.4 (45.5 -91.9) -HOMA-IR (%) 1.9 (1 -3.1) 2.5 (1.7 -3.9) 3.5 (2.6 -5.4) - Therefore, the objective is to assess the validity of DIo in our population and to determine whether DIo predicts regression to a better GTS. References• A total of 47.5% of patients regressed to a better glucose tolerance status while participating in a program with multiple interventions for the treatment of hyperglycemia.The Oral Disposition Index in our population was able to predict the regression to a better glucose tolerance status. It was proved to be reproducible and could be applied for DM research in the Brazilian population. Our outpatient clinic presents regression and progression rates of the glucose tolerance statuts compatible with epidemiologic studies.• Longitudinal study• At first evaluation, 179 patients from an outpatient clinic were submitted to a 75g-OGTT and classified according to different degrees of glucose tolerance based on ADA criteria.• Patients with prediabetes (PDM) and DM had their data recollected, and patients were classified as regressors and non-regressors to a better GTS.• Insulin sensitivity was estimated as 1/fasting insulin and β-cell function as the ratio of the change in insulin to the change in glucose from 0 to 30 (∆I0-30/∆G0-30). The DIo was calculated as (∆I0-30/∆G0-30 x 1/fasting insulin).• Data are presented as mean ± standard deviation (SD), median (P25-P75), unless otherwise specified. A two-sided P value <0.05 was considered significant. OBJECTIVES METHODS RESULTS CONCLUSIONS ORAL DISPOSITION INDEX AS A PREDICTOR OF CHANGES IN GLUCOSE TOLERANCE STATUS OVER TIME SUBJECTS'S CHARACTERISTICS AT FIRST EVALUATION BASAL AND FINAL CHARACTERISTICS OF THE RE-EVALUATED SUBJECTS

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