16 research outputs found

    Birth weight classification in gestational diabetes: is there an ideal chart?

    Get PDF
    Introduction: Gestational diabetes mellitus (GDM) is associated to increased rates of large for gestational age newborns and macrosomia. Several charts are used to classify birth weight. Is there an ideal chart to classify newborns of GDM mothers?Methods: We evaluated adequacy of birth weight of 332 neonates born to GDM mothers at Hospital de ClĂ­nicas de Porto Alegre, Brazil. Newborns were classified according to gestational age as small (SGA), adequate or large (LGA) based on four charts: Alexander, Pedreira, INTERGROWTH 21st Project and SINASC-2012. The latter was built using data from a large national registry of 2012, the Born Alive National Surveillance System (Sistema de InformaçÔes de Nascidos Vivos – SINASC), which included 2.905,789 birth certificates. Frequencies of SGA and LGA and Kappa agreement were calculated.Results: In non-gender adjusted curves, SGA rates (95% confidence interval) varied from 8% (5-11) to 9% (6-13); LGA rates, from 11% (8-15) to 17% (13-21). For males, SGA rates varied from 3% (1-6%) to 6% (3-11%), and LGA rates, from 18% (13-24%) to 31% (24-38%); for female, SGA rates were from 3% (1-7%) to 10% (6-16%) and LGA rates, from 11% (6-16%) to 19% (13-26%). Kappa results were: ALEXANDER vs. SINASC-2012: 0.80 (0.73-0.88); INTERGROWTH 21st vs. SINASC-2012 (adjusted by sex): 0.62 (0.53-0.71); INTERGROWTH 21st vs. PEDREIRA: 0.71 (0.62-0.79); SINASC-2012 (by sex) vs. PEDREIRA: 0.86 (0.79-0.93).Conclusions: Misclassification has to be taken into account when evaluating newborns of GDM mothers, as LGA rates can almost double depending on the chart used to classify birth weight

    Birth weight classification in gestational diabetes: is there an ideal chart?

    Get PDF
    Introduction: Gestational diabetes mellitus (GDM) is associated to increased rates of large for gestational age newborns and macrosomia. Several charts are used to classify birth weight. Is there an ideal chart to classify newborns of GDM mothers? Methods: We evaluated adequacy of birth weight of 332 neonates born to GDM mothers at Hospital de ClĂ­nicas de Porto Alegre, Brazil. Newborns were classified according to gestational age as small (SGA), adequate or large (LGA) based on four charts: Alexander, Pedreira, INTERGROWTH 21st Project and SINASC-2012. The latter was built using data from a large national registry of 2012, the Born Alive National Surveillance System (Sistema de InformaçÔes de Nascidos Vivos – SINASC), which included 2.905,789 birth certificates. Frequencies of SGA and LGA and Kappa agreement were calculated. Results: In non-gender adjusted curves, SGA rates (95% confidence interval) varied from 8% (5-11) to 9% (6-13); LGA rates, from 11% (8-15) to 17% (13-21). For males, SGA rates varied from 3% (1-6%) to 6% (3-11%), and LGA rates, from 18% (13-24%) to 31% (24-38%); for female, SGA rates were from 3% (1-7%) to 10% (6-16%) and LGA rates, from 11% (6-16%) to 19% (13-26%). Kappa results were: ALEXANDER vs. SINASC-2012: 0.80 (0.73-0.88); INTERGROWTH 21st vs. SINASC-2012 (adjusted by sex): 0.62 (0.53-0.71); INTERGROWTH 21st vs. PEDREIRA: 0.71 (0.62-0.79); SINASC-2012 (by sex) vs. PEDREIRA: 0.86 (0.79-0.93). Conclusions: Misclassification has to be taken into account when evaluating newborns of GDM mothers, as LGA rates can almost double depending on the chart used to classify birth weight

    Caraterísticas clínicas de mulheres com diabetes gestacional - uma comparação de duas coortes arroladas em intervalo de 20 anos no sul do Brasil

    Get PDF
    CONTEXT AND OBJECTIVE: The prevalence and characteristics of gestational diabetes mellitus (GDM) have changed over time, reflecting the nutritional transition and changes in diagnostic criteria. We aimed to evaluate characteristics of women with GDM over a 20-year interval. DESIGN AND SETTING: Comparison of two pregnancy cohorts enrolled in different periods, in university hospitals in Porto Alegre, Brazil: 1991 to 1993 (n = 216); and 2009 to 2013 (n = 375). METHODS: We applied two diagnostic criteria to the cohorts: International Association of Diabetes and Pregnancy Study Groups (IADPSG)/World Health Organization (WHO); and National Institute for Health and Care Excellence (NICE). We compared maternal-fetal characteristics and outcomes between the cohorts and within each cohort. RESULTS: The women in the 2010s cohort were older (31 ± 7 versus 30 ± 6 years), more frequently obese (29.4% versus 15.2%), with more hypertensive disorders (14.1% versus 5.6%) and at increased risk of cesarean section (adjusted relative risk 1.8; 95% confidence interval: 1.4 - 2.3), compared with those in the 1990s cohort. Neonatal outcomes such as birth weight category and hypoglycemia were similar. In the 1990s cohort, women only fulfilling IADPSG/WHO or only fulfilling NICE criteria had similar characteristics and outcomes; in the 2010s cohort, women only diagnosed through IADPSG/WHO were more frequently obese than those diagnosed only through NICE (33 ± 8 kg/m2 versus 28 ± 6 kg/m2; P < 0.001). CONCLUSION: The epidemic of obesity seems to have modified the profile of women with GDM. Despite similar neonatal outcomes, there were differences in the intensity of treatment over time. The IADPSG/ WHO criteria seemed to identify a profile more associated with obesity.CONTEXTO E OBJETIVO: PrevalĂȘncia e caracterĂ­sticas do diabetes mellitus gestacional (DMG) modificaram- se com o tempo, refletindo transição nutricional e diferentes critĂ©rios diagnĂłsticos. Nosso objetivo foi avaliar caracterĂ­sticas de gestaçÔes com DMG em intervalo de 20 anos. TIPO DE ESTUDO E LOCAL: Comparação de duas coortes gestacionais arroladas em diferentes perĂ­odos, em hospitais universitĂĄrios de Porto Alegre, Brasil: 1991 a 1993 (n = 216) e 2009 a 2013 (n = 375). MÉTODOS: Aplicamos dois critĂ©rios diagnĂłsticos Ă s coortes: International Association of Diabetes and Pregnancy Study Groups (IADPSG)/Organização Mundial de SaĂșde (OMS); e National Institute for Health and Care Excellence (NICE). Comparamos caracterĂ­sticas e desfechos materno-fetais entre as coortes e dentro de cada uma. RESULTADOS: Na coorte dos anos 2010, as mulheres eram mais velhas (31 ± 7 versus 30 ± 6 anos), obesas (29,4% versus 15,2%), apresentaram mais distĂșrbios hipertensivos (14,1% versus 5,6%) e risco aumentado de cesariana (risco relativo ajustado 1,8; intervalo de confiança de 95% 1,4 - 2,3), comparadas Ă s da coorte de 1990. Desfechos neonatais, como categoria do peso ao nascer e hipoglicemia, foram semelhantes. Na coorte de 1990, essas caracterĂ­sticas e desfechos foram semelhantes nas mulheres que preenchiam apenas um dos critĂ©rios; na de 2010, mulheres diagnosticadas apenas pelo IADPSG/OMS eram mais obesas (33 ± 8 kg/m2 versus 28 ± 6 kg/m2, P < 0,001) do que as diagnosticadas apenas pelo NICE. CONCLUSÃO: A epidemia de obesidade parece ter modificado o perfil de mulheres com DMG. Embora desfechos neonatais sejam semelhantes, houve diferenças na intensidade de tratamento ao longo do tempo. O critĂ©rio da IADPSG/OMS parece identificar um perfil mais associado Ă  obesidade

    Influence of maternal weight gain on birth weight : a gestational diabetes cohort

    No full text
    Objective: Our objective was to evaluate gestational weight gain (GWG) patterns and their relation to birth weight. Subjects and methods: We prospectively enrolled 474 women with gestational diabetes mellitus (GDM) at a university hospital (Porto Alegre, Brazil, November 2009-May 2015). GWG was categorized according to the 2009 Institute of Medicine guidelines; birth weight was classified as large (LGA) or small (SGA) for gestational age. Adjusted relative risks (aRRs) and 95% confidence intervals (95% CIs) were determined. Results: Adequate GWG occurred in 121 women [25.5%, 95% CI: 22, 30%]; excessive, in 180 [38.0%, 95% CI: 34, 43%]; and insufficient, in 173 [36.5%, 95% CI: 32, 41%]. In women with normal body mass index (BMI), the prevalence of SGA was higher in those with insufficient compared to adequate GWG (30% vs. 0%, p < 0.001). In women with BMI ≄ 25 kg/m2, excessive GWG increased the prevalence of LGA [aRR 2.58, 95% CI: 1.06, 6.29] and protected from SGA [aRR 0.25, 95% CI: 0.10, 0.64]. Insufficient vs. adequate GWG did not influence the prevalence of SGA [aRR 0.61, 95% CI: 0.31, 1.22]; insufficient vs. excessive GWG protected from LGA [aRR 0.46, 95% CI: 0.23, 0.91]. Conclusions: One quarter of this cohort achieved adequate GWG, indicating that specific ranges have to be tailored for GDM. To prevent inadequate birth weight, excessive GWG in women with higher BMI and less than recommended GWG in normal BMI women should be avoided; less than recommended GWG may be suitable for overweight and obese women. Arch Endocrinol Metab. 2018;62(1):48-5

    Birth weight classification in gestational diabetes : is there an ideal chart?

    No full text
    Introduction: Gestational diabetes mellitus (GDM) is associated to increased rates of large for gestational age (LGA) newborns and macrosomia. Several charts are used to classify birth weight. Is there an ideal chart to classify newborns of GDM mothers? Methods: We evaluated adequacy of birth weight of 332 neonates born to GDM mothers at Hospital de ClĂ­nicas de Porto Alegre, Brazil. Newborns were classified according to gestational age as small (SGA), adequate, or large (LGA) based on four charts: Alexander, Pedreira, INTERGROWTH 21st Project, and SINASC-2012. The latter was built using data from a large national registry of 2012, the Born Alive National Surveillance System (Sistema de InformaçÔes de Nascidos Vivos – SINASC), which included 2,905.789 birth certificates. Frequencies of SGA and LGA and Kappa agreement were calculated. Results: In non-gender adjusted curves, SGA rates (95% confidence interval) varied from 8% (5-11) to 9% (6-13); LGA rates, from 11% (8-15) to 17% (13-21). For males, SGA rates varied from 3% (1-6%) to 6% (3-11%), and LGA rates, from 18% (13-24%) to 31% (24-38%); for females, SGA rates were from 3% (1-7%) to 10% (6-16%) and LGA rates, from 11% (6-16%) to 19% (13-26%). Kappa results were: ALEXANDER vs. SINASC-2012: 0.80 (0.73-0.88); INTERGROWTH 21st vs. SINASC-2012 (adjusted by sex): 0.62 (0.53-0.71); INTERGROWTH 21st vs. PEDREIRA: 0.71 (0.62-0.79); SINASC-2012 (by sex) vs. PEDREIRA: 0.86 (0.79-0.93). Conclusions: Misclassification has to be taken into account when evaluating newborns of GDM mothers, as LGA rates can almost double depending on the chart used to classify birth weight

    Birth weight classification in gestational diabetes : is there an ideal chart?

    No full text
    Introduction: Gestational diabetes mellitus (GDM) is associated to increased rates of large for gestational age (LGA) newborns and macrosomia. Several charts are used to classify birth weight. Is there an ideal chart to classify newborns of GDM mothers? Methods: We evaluated adequacy of birth weight of 332 neonates born to GDM mothers at Hospital de ClĂ­nicas de Porto Alegre, Brazil. Newborns were classified according to gestational age as small (SGA), adequate, or large (LGA) based on four charts: Alexander, Pedreira, INTERGROWTH 21st Project, and SINASC-2012. The latter was built using data from a large national registry of 2012, the Born Alive National Surveillance System (Sistema de InformaçÔes de Nascidos Vivos – SINASC), which included 2,905.789 birth certificates. Frequencies of SGA and LGA and Kappa agreement were calculated. Results: In non-gender adjusted curves, SGA rates (95% confidence interval) varied from 8% (5-11) to 9% (6-13); LGA rates, from 11% (8-15) to 17% (13-21). For males, SGA rates varied from 3% (1-6%) to 6% (3-11%), and LGA rates, from 18% (13-24%) to 31% (24-38%); for females, SGA rates were from 3% (1-7%) to 10% (6-16%) and LGA rates, from 11% (6-16%) to 19% (13-26%). Kappa results were: ALEXANDER vs. SINASC-2012: 0.80 (0.73-0.88); INTERGROWTH 21st vs. SINASC-2012 (adjusted by sex): 0.62 (0.53-0.71); INTERGROWTH 21st vs. PEDREIRA: 0.71 (0.62-0.79); SINASC-2012 (by sex) vs. PEDREIRA: 0.86 (0.79-0.93). Conclusions: Misclassification has to be taken into account when evaluating newborns of GDM mothers, as LGA rates can almost double depending on the chart used to classify birth weight
    corecore