Clinical risk score to recognize macrosomia at the time of delivery
To develop a clinical risk score to help in recognizing macrosomia at the time of delivery. 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 4000 g. Controls were 779 wom...
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Veröffentlicht in: | Clinical and experimental obstetrics & gynecology 2012, Vol.39 (2), p.195-199 |
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creator | Patumanond, J Tawichasri, C Khunpradit, S |
description | To develop a clinical risk score to help in recognizing macrosomia at the time of delivery.
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 4000 g. Controls were 779 women with babies weighing between 2500 g. and |
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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 4000 g. Controls were 779 women with babies weighing between 2500 g. and <4000 g. The best predictors were selected by multivariable logistic regression and transformed into clinical risk scores.
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.
A simple clinical risk score may help obstetricians suspect macrosomia at the time of delivery in areas where antenatal care services are inadequate.</description><identifier>ISSN: 0390-6663</identifier><identifier>PMID: 22905462</identifier><language>eng</language><publisher>Canada</publisher><subject>Adult ; Case-Control Studies ; Decision Support Techniques ; Delivery, Obstetric ; Female ; Fetal Macrosomia - diagnosis ; Humans ; Multivariate Analysis ; Young Adult</subject><ispartof>Clinical and experimental obstetrics & gynecology, 2012, Vol.39 (2), p.195-199</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22905462$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patumanond, J</creatorcontrib><creatorcontrib>Tawichasri, C</creatorcontrib><creatorcontrib>Khunpradit, S</creatorcontrib><title>Clinical risk score to recognize macrosomia at the time of delivery</title><title>Clinical and experimental obstetrics & gynecology</title><addtitle>Clin Exp Obstet Gynecol</addtitle><description>To develop a clinical risk score to help in recognizing macrosomia at the time of delivery.
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 4000 g. Controls were 779 women with babies weighing between 2500 g. and <4000 g. The best predictors were selected by multivariable logistic regression and transformed into clinical risk scores.
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.
A simple clinical risk score may help obstetricians suspect macrosomia at the time of delivery in areas where antenatal care services are inadequate.</description><subject>Adult</subject><subject>Case-Control Studies</subject><subject>Decision Support Techniques</subject><subject>Delivery, Obstetric</subject><subject>Female</subject><subject>Fetal Macrosomia - diagnosis</subject><subject>Humans</subject><subject>Multivariate Analysis</subject><subject>Young Adult</subject><issn>0390-6663</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1j8tKxDAYRrNQnHH0FSRLN4XcM1lK8QYDbnRd0uSPRpumJq0wPr0DzqzO4jt8cM7QmnBDGqUUX6HLWj8JEUIreoFWjBkihWJr1LZDHKOzAy6xfuHqcgE8Z1zA5fcx_gJO1pVcc4oW2xnPH4c5JsA5YA9D_IGyv0LnwQ4Vro_coLeH-9f2qdm9PD63d7tmYpTOjZDW6l4JAsFoQpk1VDESegLKGceY3nKlegGBCO-Zdh6kcP1Wch4sDZ7zDbr9_51K_l6gzl2K1cEw2BHyUjtKuFBSS2kO6s1RXfoEvptKTLbsu1M4_wM7aFMN</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>Patumanond, J</creator><creator>Tawichasri, C</creator><creator>Khunpradit, S</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>2012</creationdate><title>Clinical risk score to recognize macrosomia at the time of delivery</title><author>Patumanond, J ; Tawichasri, C ; Khunpradit, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p211t-45aa7b640ef97012a91620fb0e6c9c2278366b4ef04dd27cde54cb8533fa1fd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Case-Control Studies</topic><topic>Decision Support Techniques</topic><topic>Delivery, Obstetric</topic><topic>Female</topic><topic>Fetal Macrosomia - diagnosis</topic><topic>Humans</topic><topic>Multivariate Analysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patumanond, J</creatorcontrib><creatorcontrib>Tawichasri, C</creatorcontrib><creatorcontrib>Khunpradit, S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical and experimental obstetrics & gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patumanond, J</au><au>Tawichasri, C</au><au>Khunpradit, S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical risk score to recognize macrosomia at the time of delivery</atitle><jtitle>Clinical and experimental obstetrics & gynecology</jtitle><addtitle>Clin Exp Obstet Gynecol</addtitle><date>2012</date><risdate>2012</risdate><volume>39</volume><issue>2</issue><spage>195</spage><epage>199</epage><pages>195-199</pages><issn>0390-6663</issn><abstract>To develop a clinical risk score to help in recognizing macrosomia at the time of delivery.
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 4000 g. Controls were 779 women with babies weighing between 2500 g. and <4000 g. The best predictors were selected by multivariable logistic regression and transformed into clinical risk scores.
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.
A simple clinical risk score may help obstetricians suspect macrosomia at the time of delivery in areas where antenatal care services are inadequate.</abstract><cop>Canada</cop><pmid>22905462</pmid><tpages>5</tpages></addata></record> |
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subjects | Adult Case-Control Studies Decision Support Techniques Delivery, Obstetric Female Fetal Macrosomia - diagnosis Humans Multivariate Analysis Young Adult |
title | Clinical risk score to recognize macrosomia at the time of delivery |
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