RESUMOObjetivos: Avaliar o perfil epidemiológico e a evolução de mulheres com diabetes melito gestacional (DMG), determinando fatores de risco para maior vigilância. Sujeitos e métodos: Foram estudadas 924 gestações de 916 pacientes, de 6 de novembro de 2001 a 21 de setembro de 2009. Resultados: Foram encontrados fatores de risco para DMG em 95,1% dos casos. A prevalência de diabetes materno, paterno e em outros familiares foi de 24,3%, 9,4% e 24,7%, respectivamente. Os fatores preditivos para uso de insulina foram: glicemia de jejum (GJ) no rastreamento ≥ 85, GJ no Teste Oral de Tolerância à Glicose (TOTG) ≥ 95, glicemia 2h após 75 g de glicose ≥ 200 mg/dL, DMG prévio, obesidade, HbA1c > 6% e história familiar de DM em parente de primeiro grau associada à obesidade ou DMG prévio, esta última a associação mais relevante (p < 0,05). Conclusões: Os fatores de risco analisados se mostraram altamente sensíveis para a detecção de DMG, e a disposição da história familiar reforça sua relação com o DM2. Recomenda-se maior vigilância a gestantes com fatores preditivos para necessidade de insulina. Arq Bras Endocrinol Metab. 2011;55(6):389-98 Descritores Diabetes gestacional; fatores de risco; controle metabólico; tratamento; insulina; complicações ABSTRACT Objectives: To evaluate the epidemiological profile and outcomes of women with gestational diabetes mellitus (GDM), determining risk factors for increased vigilance. Subjects and methods: We studied 924 pregnancies in 916 patients between November 6, 2001 and September 21, 2009. Results: Risk factors were found in 95.1% of cases. The prevalence of maternal diabetes, paternal diabetes and diabetes in other family members was 24.3%, 9.4% and 24.7%, respectively. Predictive factors for insulin use were: screening fasting glucose (FG) ≥ 85, Oral Glucose Tolerance Test (OGTT) FG ≥ 95, 2h glucose after 75 g ≥ 200 mg/dL, previous GDM, obesity, HbA1c > 6%, and the association of risk factors including family history of diabetes mellitus and obesity or previous GDM, the last one the most relevant (p < 0,05). Conclusions: Risk factors were very sensitive for GDM detection, and provision of family history strengthens its relationship with T2DM. Greater vigilance is recommended for patients with predictive factors for insulin requirement. Arq Bras Endocrinol Metab. 2011;55(6):389-98

T2DM was diagnosed in 34 (12.2%) patients, IFG in 58 (20.8%), and IGT in 35 (12.5%). Women with postpartum T2DM showed more frequently a family history of T2DM, higher pre-pregnancy body mass index (BMI), lower gestational age, higher fasting and 2-hour plasma glucose levels on the OGTT at the diagnosis of GDM, higher levels of hemoglobin A1c, and a more frequent insulin requirement during pregnancy. Paternal history of T2DM (odds ratio [OR] = 5.67; 95% confidence interval [95%CI] = 1.64-19.59; p = 0.006), first trimester fasting glucose value (OR = 1.07; 95%CI = 1.03-1.11; p = 0.001), and insulin treatment during pregnancy (OR = 15.92; 95%CI = 5.54-45.71; p < 0.001) were significant independent risk factors for the development of T2DM. Conclusion A high rate of abnormal glucose tolerance was found in women with previous GDM. Family history of T2DM, higher pre-pregnancy BMI, early onset of GDM, higher glucose levels, and insulin requirement during pregnancy were important risk factors for the early identification of women at high risk of developing T2DM. These findings may be useful for developing preventive strategies.

Aims: This study aims to evaluate whether there is a difference between the effects of dapagliflozin and gliclazide MR (modified release) on glycemic variability (GV) and control, as assessed by continuous glucose monitoring (CGM), in individuals with uncontrolled type 2 diabetes (T2DM). Methods: An open-label, randomized study was conducted in uncontrolled T2DM individuals drug naïve or on steady-dose metformin monotherapy which were treated with 10 mg dapagliflozin once daily or 60 to 120 mg of gliclazide MR once daily. CGM and GV indices calculation were performed at baseline and after 12 weeks. Results: In total, 97 patients (age: 57.9 ± 8.7 years, male sex: 50.5%, baseline glycated hemoglobin (HbA1c): 7.9 ± 0.9) were randomized and 94 completed the 12-week protocol. Per protocol analysis demonstrated that the reduction of GV, as measured by the mean amplitude of glycemic excursions (MAGE), was superior in the dapagliflozin versus gliclazide MR group (-17.8 ± 33.3 vs. -3.3 ± 42.9 mg/dL, mean ± SD, p= 0.037). The improvement of GV, as measured by the coefficient of variation (CV) and the standard deviation (SD) was also superior in the dapagliflozin group (p=0.021 and 0.024, respectively). Moreover, dapagliflozin increased the time in range (TIR, between 70-180 mg/dL) by 28.6 ± 24.4% vs.19.8 ± 33.1 % (p=0.041). The intention-to-treat (ITT) analysis was also performed and did not alter the significance of the results. Conclusions: Dapagliflozin reduced glycemic variability and increased the TIR more efficiently than gliclazide MR in individuals with T2DM after 12 weeks of treatment as demonstrated by continuous glucose monitoring evaluation. Disclosure A.G.D. Vianna: Board Member; Self; Abbott, Novo Nordisk Inc. Research Support; Self; AstraZeneca. Speaker's Bureau; Self; Lilly Diabetes. C.S. de Lacerda: None. L.M. Pechmann: None. M.G. Polesel: None. J.C. Detsch: None. K.R. Marques: None. C.P. Rocha: None. Funding AstraZeneca