Prediction of Gestational Diabetes by Measuring the Levels of Pregnancy Associated Plasma Protein-A (PAPP-A) During Gestation Weeks 11-14
The present study aimed to determine the association between pregnancy-associated plasma protein A (PAPP-A) and Gestational Diabetes Methods (GDM) to detect a risk factor for predicting GDM at gestational weeks 11-14. This analytical prospective study recruited 284 pregnant women presenting to six h...
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| Veröffentlicht in: | Journal of reproduction & infertility 2020-04, Vol.21 (2), p.130-137 |
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| creator | Ramezani, Somayeh Doulabi, Mahboubeh Ahmadi Saqhafi, Hamid Alipoor, Mahmood |
| description | The present study aimed to determine the association between pregnancy-associated plasma protein A (PAPP-A) and Gestational Diabetes Methods (GDM) to detect a risk factor for predicting GDM at gestational weeks 11-14.
This analytical prospective study recruited 284 pregnant women presenting to six healthcare centers of Qazvin, Iran from February to December 2016. PAPP-A was measured at gestational weeks 11-14 and glucose tolerance test was conducted at gestational weeks 24-28. The participants were assigned into two groups of exposure (reduced PAPP-A) and non-exposure (normal PAPP-A). The association between GDM and PAPP-A was studied. The number of women in exposure group were 201 and 83 in the non-exposure group. Differences between groups were assessed by the Mann-Whitney, Chi-square, T test, logistic regression analysis and ROC Curve with a significance level of 0.05.
Twenty eight (33.73%) patients of the exposure group and 17 (8.46%) of non-exposure group developed GDM. There was a significant difference between the two groups in terms of GDM (p |
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This analytical prospective study recruited 284 pregnant women presenting to six healthcare centers of Qazvin, Iran from February to December 2016. PAPP-A was measured at gestational weeks 11-14 and glucose tolerance test was conducted at gestational weeks 24-28. The participants were assigned into two groups of exposure (reduced PAPP-A) and non-exposure (normal PAPP-A). The association between GDM and PAPP-A was studied. The number of women in exposure group were 201 and 83 in the non-exposure group. Differences between groups were assessed by the Mann-Whitney, Chi-square, T test, logistic regression analysis and ROC Curve with a significance level of 0.05.
Twenty eight (33.73%) patients of the exposure group and 17 (8.46%) of non-exposure group developed GDM. There was a significant difference between the two groups in terms of GDM (p<0.001) and the risk of GDM was 3.98 fold higher in the exposure group (reduced PAPPA
) than that of the non-exposure group (CI=2.39-6.65, p<0.001). Also, 53.3% of the exposure group and 46.7% of the nonexposure group were diagnosed with GDM (p=0.02). There was a significant difference in GDM between the groups and the risk of GDM was 1.85 times higher in the exposure group (reduced PAPPA MOM) than that in the control group (CI=1.09-3.15, p=0.020). According to the ROC curve results, PAPP-A and MOM are acceptable indicators for predicting GDM.
A low PAPP-A level (MOM, MU/L) as a new risk factor for GDM can help early prediction and prevent maternal and fetal complication by timely treatment.</description><identifier>ISSN: 2228-5482</identifier><identifier>EISSN: 2251-676X</identifier><identifier>PMID: 32500016</identifier><language>eng</language><publisher>Iran: Office for Scientific Journals</publisher><subject>Chi-square test ; Diabetes mellitus ; Exposure ; Fetuses ; Gestational diabetes ; Glucose tolerance ; Original ; Pregnancy ; Protein A ; Proteins ; Regression analysis ; Risk analysis ; Risk factors ; Statistical tests</subject><ispartof>Journal of reproduction & infertility, 2020-04, Vol.21 (2), p.130-137</ispartof><rights>Copyright© 2020, Avicenna Research Institute.</rights><rights>Copyright Office for Scientific Journals 2020</rights><rights>Copyright© 2020, Avicenna Research Institute. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253940/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253940/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32500016$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ramezani, Somayeh</creatorcontrib><creatorcontrib>Doulabi, Mahboubeh Ahmadi</creatorcontrib><creatorcontrib>Saqhafi, Hamid</creatorcontrib><creatorcontrib>Alipoor, Mahmood</creatorcontrib><title>Prediction of Gestational Diabetes by Measuring the Levels of Pregnancy Associated Plasma Protein-A (PAPP-A) During Gestation Weeks 11-14</title><title>Journal of reproduction & infertility</title><addtitle>J Reprod Infertil</addtitle><description>The present study aimed to determine the association between pregnancy-associated plasma protein A (PAPP-A) and Gestational Diabetes Methods (GDM) to detect a risk factor for predicting GDM at gestational weeks 11-14.
This analytical prospective study recruited 284 pregnant women presenting to six healthcare centers of Qazvin, Iran from February to December 2016. PAPP-A was measured at gestational weeks 11-14 and glucose tolerance test was conducted at gestational weeks 24-28. The participants were assigned into two groups of exposure (reduced PAPP-A) and non-exposure (normal PAPP-A). The association between GDM and PAPP-A was studied. The number of women in exposure group were 201 and 83 in the non-exposure group. Differences between groups were assessed by the Mann-Whitney, Chi-square, T test, logistic regression analysis and ROC Curve with a significance level of 0.05.
Twenty eight (33.73%) patients of the exposure group and 17 (8.46%) of non-exposure group developed GDM. There was a significant difference between the two groups in terms of GDM (p<0.001) and the risk of GDM was 3.98 fold higher in the exposure group (reduced PAPPA
) than that of the non-exposure group (CI=2.39-6.65, p<0.001). Also, 53.3% of the exposure group and 46.7% of the nonexposure group were diagnosed with GDM (p=0.02). There was a significant difference in GDM between the groups and the risk of GDM was 1.85 times higher in the exposure group (reduced PAPPA MOM) than that in the control group (CI=1.09-3.15, p=0.020). According to the ROC curve results, PAPP-A and MOM are acceptable indicators for predicting GDM.
A low PAPP-A level (MOM, MU/L) as a new risk factor for GDM can help early prediction and prevent maternal and fetal complication by timely treatment.</description><subject>Chi-square test</subject><subject>Diabetes mellitus</subject><subject>Exposure</subject><subject>Fetuses</subject><subject>Gestational diabetes</subject><subject>Glucose tolerance</subject><subject>Original</subject><subject>Pregnancy</subject><subject>Protein A</subject><subject>Proteins</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Statistical tests</subject><issn>2228-5482</issn><issn>2251-676X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdUdtKw0AQDaKo1P6CLPiiD4G95bIvQvBShYp5UPQtTDaTuppmazYp9BP8a7e2ijovM4c5e-bM7E5wyHnEwjiJn3fXNU_DSKb8IBg790p9KMW4UPvBgeCRhyw-DD7yDiuje2NbYmsyQdfDGkBDLg2U2KMj5YrcIbihM-2M9C9IprjExq35_vWshVavSOac1QZ6rEjegJuD79keTRtm5DTP8jzMzsjlRuNnCnlCfHOEsZDJo2CvhsbheJtHweP11cPFTTi9n9xeZNNwwanqw0RUgEkkMS214KKSiUelVBUHkWqUFU1SEJxqrtK0ZokQMacRUKg1KlCpGAXnG93FUM6x0tj2HTTFojNz6FaFBVP87bTmpZjZZZHwSChJvcDpVqCz74NfpZgbp7FpoEU7uIJLRkXEFGOeevKP-mqHzh_Xs2JGJWXqy9Hxb0c_Vr5_SXwCNJCPaw</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Ramezani, Somayeh</creator><creator>Doulabi, Mahboubeh Ahmadi</creator><creator>Saqhafi, Hamid</creator><creator>Alipoor, Mahmood</creator><general>Office for Scientific Journals</general><general>Avicenna Research Institute</general><scope>NPM</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T5</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P64</scope><scope>PADUT</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200401</creationdate><title>Prediction of Gestational Diabetes by Measuring the Levels of Pregnancy Associated Plasma Protein-A (PAPP-A) During Gestation Weeks 11-14</title><author>Ramezani, Somayeh ; Doulabi, Mahboubeh Ahmadi ; Saqhafi, Hamid ; Alipoor, Mahmood</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p209t-73dae754e8bc323d47e75b49d2a38ce4d078a320c2988f17336205a0afce9a983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Chi-square test</topic><topic>Diabetes mellitus</topic><topic>Exposure</topic><topic>Fetuses</topic><topic>Gestational diabetes</topic><topic>Glucose tolerance</topic><topic>Original</topic><topic>Pregnancy</topic><topic>Protein A</topic><topic>Proteins</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Statistical tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramezani, Somayeh</creatorcontrib><creatorcontrib>Doulabi, Mahboubeh Ahmadi</creatorcontrib><creatorcontrib>Saqhafi, Hamid</creatorcontrib><creatorcontrib>Alipoor, Mahmood</creatorcontrib><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Research Library China</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of reproduction & infertility</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramezani, Somayeh</au><au>Doulabi, Mahboubeh Ahmadi</au><au>Saqhafi, Hamid</au><au>Alipoor, Mahmood</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Gestational Diabetes by Measuring the Levels of Pregnancy Associated Plasma Protein-A (PAPP-A) During Gestation Weeks 11-14</atitle><jtitle>Journal of reproduction & infertility</jtitle><addtitle>J Reprod Infertil</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>21</volume><issue>2</issue><spage>130</spage><epage>137</epage><pages>130-137</pages><issn>2228-5482</issn><eissn>2251-676X</eissn><abstract>The present study aimed to determine the association between pregnancy-associated plasma protein A (PAPP-A) and Gestational Diabetes Methods (GDM) to detect a risk factor for predicting GDM at gestational weeks 11-14.
This analytical prospective study recruited 284 pregnant women presenting to six healthcare centers of Qazvin, Iran from February to December 2016. PAPP-A was measured at gestational weeks 11-14 and glucose tolerance test was conducted at gestational weeks 24-28. The participants were assigned into two groups of exposure (reduced PAPP-A) and non-exposure (normal PAPP-A). The association between GDM and PAPP-A was studied. The number of women in exposure group were 201 and 83 in the non-exposure group. Differences between groups were assessed by the Mann-Whitney, Chi-square, T test, logistic regression analysis and ROC Curve with a significance level of 0.05.
Twenty eight (33.73%) patients of the exposure group and 17 (8.46%) of non-exposure group developed GDM. There was a significant difference between the two groups in terms of GDM (p<0.001) and the risk of GDM was 3.98 fold higher in the exposure group (reduced PAPPA
) than that of the non-exposure group (CI=2.39-6.65, p<0.001). Also, 53.3% of the exposure group and 46.7% of the nonexposure group were diagnosed with GDM (p=0.02). There was a significant difference in GDM between the groups and the risk of GDM was 1.85 times higher in the exposure group (reduced PAPPA MOM) than that in the control group (CI=1.09-3.15, p=0.020). According to the ROC curve results, PAPP-A and MOM are acceptable indicators for predicting GDM.
A low PAPP-A level (MOM, MU/L) as a new risk factor for GDM can help early prediction and prevent maternal and fetal complication by timely treatment.</abstract><cop>Iran</cop><pub>Office for Scientific Journals</pub><pmid>32500016</pmid><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Chi-square test Diabetes mellitus Exposure Fetuses Gestational diabetes Glucose tolerance Original Pregnancy Protein A Proteins Regression analysis Risk analysis Risk factors Statistical tests |
| title | Prediction of Gestational Diabetes by Measuring the Levels of Pregnancy Associated Plasma Protein-A (PAPP-A) During Gestation Weeks 11-14 |
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