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How Can We Adopt the Glucose Tolerance Test to Facilitate Predicting Pregnancy Outcome in Gestational Diabetes Mellitus?
Kim, Kyeong Jin; Kim, Nam Hoon; Choi, Jimi; Kim, Sin Gon; Lee, Kyung Ju.
Afiliação
  • Kim KJ; Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
  • Kim NH; Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
  • Choi J; Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
  • Kim SG; Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
  • Lee KJ; Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Endocrinol Metab (Seoul) ; 36(5): 988-996, 2021 10.
Article em En | MEDLINE | ID: mdl-34649416
BACKGROUND: We investigated how 100-g oral glucose tolerance test (OGTT) results can be used to predict adverse pregnancy outcomes in gestational diabetes mellitus (GDM) patients. METHODS: We analyzed 1,059 pregnant women who completed the 100-g OGTT between 24 and 28 weeks of gestation. We compared the risk of adverse pregnancy outcomes according to OGTT patterns by latent profile analysis (LPA), numbers to meet the OGTT criteria, and area under the curve (AUC) of the OGTT graph. Adverse pregnancy outcomes were defined as a composite of preterm birth, macrosomia, large for gestational age, low APGAR score at 1 minute, and pregnancy-induced hypertension. RESULTS: Overall, 257 participants were diagnosed with GDM, with a median age of 34 years. An LPA led to three different clusters of OGTT patterns; however, there were no significant associations between the clusters and adverse pregnancy outcomes after adjusting for confounders. Notwithstanding, the risk of adverse pregnancy outcome increased with an increase in number to meet the OGTT criteria (P for trend=0.011); odds ratios in a full adjustment model were 1.27 (95% confidence interval [CI], 0.72 to 2.23), 2.16 (95% CI, 1.21 to 3.85), and 2.32 (95% CI, 0.66 to 8.15) in those meeting the 2, 3, and 4 criteria, respectively. The AUCs of the OGTT curves also distinguished the patients at risk of adverse pregnancy outcomes; the larger the AUC, the higher the risk (P for trend=0.007). CONCLUSION: The total number of abnormal values and calculated AUCs for the 100-g OGTT may facilitate tailored management of patients with GDM by predicting adverse pregnancy outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Gestacional / Nascimento Prematuro Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Newborn / Pregnancy Idioma: En Revista: Endocrinol Metab (Seoul) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Gestacional / Nascimento Prematuro Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Newborn / Pregnancy Idioma: En Revista: Endocrinol Metab (Seoul) Ano de publicação: 2021 Tipo de documento: Article