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.6653943832-518662018-09-04T06:10:48Z Clinical risk score to recognize macrosomia at the time of delivery J. Patumanond C. Tawichasri S. Khunpradit Medicine 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. 2018-09-04T06:10:48Z 2018-09-04T06:10:48Z 2012-07-13 Journal 03906663 2-s2.0-84863627830 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863627830&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51866 |
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Medicine J. Patumanond C. Tawichasri S. Khunpradit Clinical risk score to recognize macrosomia at the time of delivery |
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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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J. Patumanond C. Tawichasri S. Khunpradit |
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J. Patumanond C. Tawichasri S. Khunpradit |
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J. Patumanond |
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 |
title_fullStr |
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 |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863627830&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51866 |
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