Your browser doesn't support javascript.
loading
Birth weight classification in gestational diabetes: is there an ideal chart?
Mastella, Livia Silveira; Weinert, Letícia Schwerz; Gnielka, Vanessa; Hirakata, Vânia Naomi; Oppermann, Maria Lúcia Rocha; Silveiro, Sandra Pinho; Reichelt, Angela Jacob.
  • Mastella, Livia Silveira; Universidade Federal do Rio Grande do Sul. Postgraduate Program in Medical Science: Endocrinology. Porto Alegre. BR
  • Weinert, Letícia Schwerz; Universidade Federal do Rio Grande do Sul. Postgraduate Program in Medical Science: Endocrinology. Porto Alegre. BR
  • Gnielka, Vanessa; Universidade Federal do Rio Grande do Sul. School of Medicine. Porto Alegre. BR
  • Hirakata, Vânia Naomi; Hospital de Clínicas de Porto Alegre. Biostatistics Unit. Porto Alegre. BR
  • Oppermann, Maria Lúcia Rocha; Universidade Federal do Rio Grande do Sul. School of Medicine. Porto Alegre. BR
  • Silveiro, Sandra Pinho; Universidade Federal do Rio Grande do Sul. School of Medicine. Porto Alegre. BR
  • Reichelt, Angela Jacob; Hospital de Clínicas de Porto Alegre. Endocrinology Division. Porto Alegre. BR
Clin. biomed. res ; 36(4): 192-198, 2016. tab, graf
Artículo en Inglés | LILACS | ID: biblio-831527
ABSTRACT
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 Clínicas 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 Informações 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 (AU)
Asunto(s)


Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Peso al Nacer / Diabetes Gestacional Límite: Femenino / Humanos / Recién Nacido / Embarazo Idioma: Inglés Revista: Clin. biomed. res Asunto de la revista: Medicina Año: 2016 Tipo del documento: Artículo País de afiliación: Brasil Institución/País de afiliación: Hospital de Clínicas de Porto Alegre/BR / Universidade Federal do Rio Grande do Sul/BR

Similares

MEDLINE

...
LILACS

LIS


Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Peso al Nacer / Diabetes Gestacional Límite: Femenino / Humanos / Recién Nacido / Embarazo Idioma: Inglés Revista: Clin. biomed. res Asunto de la revista: Medicina Año: 2016 Tipo del documento: Artículo País de afiliación: Brasil Institución/País de afiliación: Hospital de Clínicas de Porto Alegre/BR / Universidade Federal do Rio Grande do Sul/BR