Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19395
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNahavandi, Sofia-
dc.contributor.authorSeah, Jas-Mine-
dc.contributor.authorShub, Alexis-
dc.contributor.authorHoulihan, Christine A-
dc.contributor.authorEkinci, Elif I-
dc.date2018-07-31-
dc.date.accessioned2018-09-17T01:47:04Z-
dc.date.available2018-09-17T01:47:04Z-
dc.date.issued2018-07-31-
dc.identifier.citationFrontiers in Endocrinology 2018; 9: 407en_US
dc.identifier.issn1664-2392-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/19395-
dc.description.abstractLarge birthweight, or macrosomia, is one of the commonest complications for pregnancies affected by diabetes. As macrosomia is associated with an increased risk of a number of adverse outcomes for both the mother and offspring, accurate antenatal prediction of fetal macrosomia could be beneficial in guiding appropriate models of care and interventions that may avoid or reduce these associated risks. However, current prediction strategies which include physical examination and ultrasound assessment, are imprecise. Biomarkers are proving useful in various specialties and may offer a new avenue for improved prediction of macrosomia. Prime biomarker candidates in pregnancies with diabetes include maternal glycaemic markers (glucose, 1,5-anhydroglucitol, glycosylated hemoglobin) and hormones proposed implicated in placental nutrient transfer (adiponectin and insulin-like growth factor-1). There is some support for an association of these biomarkers with birthweight and/or macrosomia, although current evidence in this emerging field is still limited. Thus, although biomarkers hold promise, further investigation is needed to elucidate the potential clinical utility of biomarkers for macrosomia prediction for pregnancies affected by diabetes.en_US
dc.language.isoeng-
dc.subjectbiomarkersen_US
dc.subjectbirthweighten_US
dc.subjectdiabetesen_US
dc.subjectmacrosomiaen_US
dc.subjectpregnancyen_US
dc.titleBiomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleFrontiers in Endocrinologyen_US
dc.identifier.affiliationMercy Hospital for Women, Mercy Health, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Medicine, The University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationEndocrinologyen_US
dc.identifier.doi10.3389/fendo.2018.00407en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0003-2372-395Xen_US
dc.identifier.pubmedid30108547-
dc.type.austinJournal Article-
dc.type.austinReview-
local.name.researcherEkinci, Elif I
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeJournal Article-
crisitem.author.deptEndocrinology-
crisitem.author.deptEndocrinology-
crisitem.author.deptEndocrinology-
Appears in Collections:Journal articles
Show simple item record

Page view(s)

30
checked on Mar 28, 2024

Google ScholarTM

Check


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.