Clinical risk score to recognize macrosomia at the time of delivery
Objective: 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....
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th-cmuir.6653943832-38962014-08-30T02:35:26Z Clinical risk score to recognize macrosomia at the time of delivery Patumanond J. Tawichasri C. Khunpradit S. Objective: 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. 2014-08-30T02:35:26Z 2014-08-30T02:35:26Z 2012 Article 3906663 22905462 CEOGA http://www.scopus.com/inward/record.url?eid=2-s2.0-84863627830&partnerID=40&md5=ed42db6ddcde1dd7c2963fb113286062 http://www.ncbi.nlm.nih.gov/pubmed/22905462 http://cmuir.cmu.ac.th/handle/6653943832/3896 English |
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Objective: 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. |
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Patumanond J. Tawichasri C. Khunpradit S. |
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Patumanond J. Tawichasri C. Khunpradit S. Clinical risk score to recognize macrosomia at the time of delivery |
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Patumanond J. Tawichasri C. Khunpradit S. |
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Patumanond J. |
title |
Clinical risk score to recognize macrosomia at the time of delivery |
title_short |
Clinical risk score to recognize macrosomia at the time of delivery |
title_full |
Clinical risk score to recognize macrosomia at the time of delivery |
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Clinical risk score to recognize macrosomia at the time of delivery |
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Clinical risk score to recognize macrosomia at the time of delivery |
title_sort |
clinical risk score to recognize macrosomia at the time of delivery |
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2014 |
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http://www.scopus.com/inward/record.url?eid=2-s2.0-84863627830&partnerID=40&md5=ed42db6ddcde1dd7c2963fb113286062 http://www.ncbi.nlm.nih.gov/pubmed/22905462 http://cmuir.cmu.ac.th/handle/6653943832/3896 |
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