Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51866
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dc.contributor.authorJ. Patumanonden_US
dc.contributor.authorC. Tawichasrien_US
dc.contributor.authorS. Khunpraditen_US
dc.date.accessioned2018-09-04T06:10:48Z-
dc.date.available2018-09-04T06:10:48Z-
dc.date.issued2012-07-13en_US
dc.identifier.issn03906663en_US
dc.identifier.other2-s2.0-84863627830en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863627830&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51866-
dc.description.abstractObjective: To develop a clinical risk score to help in recognizing macrosomia at the time of delivery. Methods: A case-control data analysis was conducted at a university-affiliated general hospital in Lamphun, Thailand. Macrosomic cases were 67 women who delivered babies weighing at least 4,000 g. Controls were 779 women with babies weighing between 2,500 g. and < 4,000 g. The best predictors were selected by multivariable logistic regression and transformed into clinical risk scores. Result: The best combination of predictors included parity, gestational age at delivery, weight at delivery and symphysis-fundal height. The scores predicted macrosomia correctly with an AuROC of 94.1% (95% CI; 92.3, 95.6). The likelihood ratio of positive for macrosomia was 0 in the low risk category and 10.68 (95% CI; 7.76, 14.68) in the high risk. Conclusion: A simple clinical risk score may help obstetricians suspect macrosomia at the time of delivery in areas where antenatal care services are inadequate.en_US
dc.subjectMedicineen_US
dc.titleClinical risk score to recognize macrosomia at the time of deliveryen_US
dc.typeJournalen_US
article.title.sourcetitleClinical and Experimental Obstetrics and Gynecologyen_US
article.volume39en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsLamphun Hospitalen_US
Appears in Collections:CMUL: Journal Articles

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