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dc.contributor.authorKhambalia, Amina Z.
dc.contributor.authorRoberts, Christine L.
dc.contributor.authorNguyen, Martin
dc.contributor.authorAlgert, Charles S.
dc.contributor.authorNicholl, Michael C.
dc.contributor.authorMorris, Jonathan
dc.date.accessioned2015-04-02
dc.date.available2015-04-02
dc.date.issued2013-11-01
dc.identifier.citationInternational Journal of Gynaecology and Obstetrics 2013;123(2):105-109en
dc.identifier.urihttp://hdl.handle.net/2123/13066
dc.description.abstractObjective: To compare the estimated date of birth calculations from last menstrual period (LMP) and ultrasounds at varying gestations (<70, 70-106, 110-140, 141-196 and 200-276) against the actual date of birth (DOB). Methods: This cohort study in a single local health district, Australia included 18,708 women with spontaneous labor who gave birth to a single live born infant without major anomalies between 2007 and 2011. Data were sourced from a computerized population birth database. The outcome of interest was duration of pregnancy expressed as total days, and the difference between actual DOB and estimated date of birth by dating method. Results: Only 5% of births occurred on the estimated date of birth regardless of the timing of the estimate. Approximately 66% of births occurred +/-7 days of the estimated date of birth, and there was little difference between ultrasound gestational week bands. The 110-140 weeks of gestation ultrasound performed as well if not better than ultrasounds conducted at other gestations. Maternal factors such as ethnicity and smoking status during pregnancy influenced duration of pregnancy; however, their explanatory power was too low to support incorporating these characteristics in dating estimations. Conclusion: An early dating scan (10 weeks or earlier) is unnecessary if LMP is reliable.en
dc.description.sponsorshipAustralian National Health and Medical Research Council (NHMRC) Centre for Research Excellence Grant (#APP1001066), Sydney Medical School Summer Research Scholarship, NHMRC Senior Research Fellowship (#APP1021025).en
dc.language.isoen_AUen
dc.publisherElsevieren
dc.relationhttp://purl.org/au-research/grants/nhmrc/1001066en
dc.relationhttp://purl.org/au-research/grants/nhmrc/1021025
dc.rightsOther
dc.subjectpredicting date of birthen
dc.subjectdating a pregnancyen
dc.subjectestimated date of birthen
dc.subjectdating methoden
dc.titlePredicting date of birth: the best time to date a pregnancy?en
dc.typeArticleen
dc.type.pubtypePreprinten
usyd.facultyFaculty of Medicine and Health, Northern Clinical Schoolen


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