25594222<\/a><\/p>\nAbstract<\/h2>\n
Objective\u2003This study aims to determine whether there is a threshold 3-hour oral glucose tolerance test (OGTT) value associated with accelerated risk of adverse pregnancy outcomes. Study Design\u2003In a secondary analysis of a cohort of women with untreated mild gestational glucose intolerance, we used generalized additive models with smoothing splines to explore nonlinear associations between each of the 3-hour OGTT values (fasting, 1-hour, 2-hour, and 3-hour) and adverse pregnancy outcomes, including the study’s composite outcome (perinatal mortality, hypoglycemia, hyperbilirubinemia, neonatal hyperinsulinemia, and\/or birth trauma), large for gestational age birth weight, small for gestational age birth weight, shoulder dystocia, neonatal hypoglycemia, gestational hypertension (gHTN), and preeclampsia. Results\u2003Among the 1,360 eligible women, each timed OGTT value was linearly associated with increased odds of composite adverse outcome. We found evidence of a departure from linearity only for the association between fasting glucose and gHTN\/preeclampsia, with a stronger association for values of 85 to 94 mg\/dL (p\u2009=\u20090.03). We found no evidence of departure from linearity for any other OGTT values and measured outcomes (all chi-square test p-values\u2009\u2265\u20090.05). Conclusion\u2003In a population of untreated women with mild gestational glucose intolerance and fasting OGTT\u2009<\u200995 mg\/dL, we found an increasing risk of gHTN with a fasting glucose between 85 and 94 mg\/dL.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
Stuebe AM, Landon MB, Lai Y, Klebanoff M, Ramin SM, Wapner RJ, Varner MW, Rouse DJ, Sciscione A, Catalano P, Saade G, Sorokin Y, Peaceman AM, Am J Perinatol 2015 Jan; PMID: 25594222 Abstract Objective\u2003This study aims to determine whether there is a threshold 3-hour oral glucose tolerance test (OGTT) value associated with accelerated risk<\/p>\n
Continue reading Is There a Threshold Oral Glucose Tolerance Test Value for Predicting Adverse Pregnancy Outcome?<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-6691","post","type-post","status-publish","format-standard","hentry","category-pubs-pres"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts\/6691","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/comments?post=6691"}],"version-history":[{"count":0,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts\/6691\/revisions"}],"wp:attachment":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/media?parent=6691"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/categories?post=6691"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/tags?post=6691"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}