Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?
Purpose This study aimed to investigate the effectiveness of abdominal subcutaneous fat thickness (ASFT) in predicting antenatal insulin therapy (AIT) in patients with gestational diabetes mellitus (GDM). Methods A prospective study was conducted on patients with regulated blood sugar levels (n = 50...
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Veröffentlicht in: | The journal of obstetrics and gynaecology research 2022-03, Vol.48 (3), p.634-639 |
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container_title | The journal of obstetrics and gynaecology research |
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creator | Akgöl, Sedat Budak, Mehmet Şükrü Oğlak, Süleyman Cemil Ölmez, Fatma Dilek, Mehmet Emin Kartal, Serhat |
description | Purpose
This study aimed to investigate the effectiveness of abdominal subcutaneous fat thickness (ASFT) in predicting antenatal insulin therapy (AIT) in patients with gestational diabetes mellitus (GDM).
Methods
A prospective study was conducted on patients with regulated blood sugar levels (n = 50) and those with unregulated blood sugar (n = 50) although medical nutrition therapy (MNT) was initiated and then AIT was applied. Using receiver operator characteristic (ROC) curve analysis, appropriate ASFT cut‐off point values were found for the prediction of cases that required AIT after MNT in GDM pregnancies.
Results
Patients with GDM who needed AIT had a significantly higher ASFT value compared to those with GDM who did not need AIT. The optimal ASFT cutoff was 21.7 mm in predicting cases that required AIT after MNT (sensitivity, specificity, negative, and positive predictive values were 68.0%, 64.0%, 65.8%, and 66.6%, respectively). The risk of AIT increased 3.77‐fold in those with ASFT > 21.7 mm in GDM pregnancies (p = 0.001).
Conclusion
The ASFT value was significantly higher in cases with GDM, with blood glucose levels not regulated despite MNT and AIT being then needed, compared to patients with blood glucose levels regulated by MNT, and who did not need AIT. Also, patients requiring AIT can be determined with moderate to high sensitivity and specificity using a cut‐off value of ASFT > 21.7 mm. The ASFT > 21.7 mm cut‐off point was seen to be more effective than BMI ≥ 30 kg/m2 in the determination of cases where AIT is required. |
doi_str_mv | 10.1111/jog.15128 |
format | Article |
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This study aimed to investigate the effectiveness of abdominal subcutaneous fat thickness (ASFT) in predicting antenatal insulin therapy (AIT) in patients with gestational diabetes mellitus (GDM).
Methods
A prospective study was conducted on patients with regulated blood sugar levels (n = 50) and those with unregulated blood sugar (n = 50) although medical nutrition therapy (MNT) was initiated and then AIT was applied. Using receiver operator characteristic (ROC) curve analysis, appropriate ASFT cut‐off point values were found for the prediction of cases that required AIT after MNT in GDM pregnancies.
Results
Patients with GDM who needed AIT had a significantly higher ASFT value compared to those with GDM who did not need AIT. The optimal ASFT cutoff was 21.7 mm in predicting cases that required AIT after MNT (sensitivity, specificity, negative, and positive predictive values were 68.0%, 64.0%, 65.8%, and 66.6%, respectively). The risk of AIT increased 3.77‐fold in those with ASFT > 21.7 mm in GDM pregnancies (p = 0.001).
Conclusion
The ASFT value was significantly higher in cases with GDM, with blood glucose levels not regulated despite MNT and AIT being then needed, compared to patients with blood glucose levels regulated by MNT, and who did not need AIT. Also, patients requiring AIT can be determined with moderate to high sensitivity and specificity using a cut‐off value of ASFT > 21.7 mm. The ASFT > 21.7 mm cut‐off point was seen to be more effective than BMI ≥ 30 kg/m2 in the determination of cases where AIT is required.</description><identifier>ISSN: 1341-8076</identifier><identifier>EISSN: 1447-0756</identifier><identifier>DOI: 10.1111/jog.15128</identifier><identifier>PMID: 34931403</identifier><language>eng</language><publisher>Kyoto, Japan: John Wiley & Sons Australia, Ltd</publisher><subject>Abdominal Fat ; Blood Glucose ; Diabetes mellitus ; Diabetes, Gestational - drug therapy ; Female ; Gestational diabetes ; Humans ; Insulin ; Insulin - therapeutic use ; Nutrition therapy ; obstetrics: basic science ; Patients ; Pregnancy ; Prospective Studies</subject><ispartof>The journal of obstetrics and gynaecology research, 2022-03, Vol.48 (3), p.634-639</ispartof><rights>2021 Japan Society of Obstetrics and Gynecology.</rights><rights>2022 Japan Society of Obstetrics and Gynecology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3778-a7b70e3d4382f90e5096f57b04a302ec35e3ae4dcddf364b3dc9706ee652eebe3</citedby><cites>FETCH-LOGICAL-c3778-a7b70e3d4382f90e5096f57b04a302ec35e3ae4dcddf364b3dc9706ee652eebe3</cites><orcidid>0000-0001-8609-3049 ; 0000-0003-4281-1226 ; 0000-0003-2343-033X ; 0000-0001-7328-4188 ; 0000-0002-1432-3543 ; 0000-0001-7634-3008</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjog.15128$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjog.15128$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34931403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Akgöl, Sedat</creatorcontrib><creatorcontrib>Budak, Mehmet Şükrü</creatorcontrib><creatorcontrib>Oğlak, Süleyman Cemil</creatorcontrib><creatorcontrib>Ölmez, Fatma</creatorcontrib><creatorcontrib>Dilek, Mehmet Emin</creatorcontrib><creatorcontrib>Kartal, Serhat</creatorcontrib><title>Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?</title><title>The journal of obstetrics and gynaecology research</title><addtitle>J Obstet Gynaecol Res</addtitle><description>Purpose
This study aimed to investigate the effectiveness of abdominal subcutaneous fat thickness (ASFT) in predicting antenatal insulin therapy (AIT) in patients with gestational diabetes mellitus (GDM).
Methods
A prospective study was conducted on patients with regulated blood sugar levels (n = 50) and those with unregulated blood sugar (n = 50) although medical nutrition therapy (MNT) was initiated and then AIT was applied. Using receiver operator characteristic (ROC) curve analysis, appropriate ASFT cut‐off point values were found for the prediction of cases that required AIT after MNT in GDM pregnancies.
Results
Patients with GDM who needed AIT had a significantly higher ASFT value compared to those with GDM who did not need AIT. The optimal ASFT cutoff was 21.7 mm in predicting cases that required AIT after MNT (sensitivity, specificity, negative, and positive predictive values were 68.0%, 64.0%, 65.8%, and 66.6%, respectively). The risk of AIT increased 3.77‐fold in those with ASFT > 21.7 mm in GDM pregnancies (p = 0.001).
Conclusion
The ASFT value was significantly higher in cases with GDM, with blood glucose levels not regulated despite MNT and AIT being then needed, compared to patients with blood glucose levels regulated by MNT, and who did not need AIT. Also, patients requiring AIT can be determined with moderate to high sensitivity and specificity using a cut‐off value of ASFT > 21.7 mm. The ASFT > 21.7 mm cut‐off point was seen to be more effective than BMI ≥ 30 kg/m2 in the determination of cases where AIT is required.</description><subject>Abdominal Fat</subject><subject>Blood Glucose</subject><subject>Diabetes mellitus</subject><subject>Diabetes, Gestational - drug therapy</subject><subject>Female</subject><subject>Gestational diabetes</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin - therapeutic use</subject><subject>Nutrition therapy</subject><subject>obstetrics: basic science</subject><subject>Patients</subject><subject>Pregnancy</subject><subject>Prospective Studies</subject><issn>1341-8076</issn><issn>1447-0756</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kUtPxCAQgInR-D74BwyJFz1UoUChJ2M2PmPiRc8NLdOVtaW1UDf776WuejCRywzDx5fJDEJHlJzTeC4W3fycCpqqDbRLOZcJkSLbjDnjNFFEZjtoz_sFIVTmVG2jHcZzRjlhu-hjph1udYDB6Qbr0nStnbJaBxxebfXmwHvcD2BsFbB2AZwO8d06PzbWRQYG3a_iHfc6WHDB46UNr3gOPsRCN8mM1SUE8LiFprFh9JcHaKvWjYfD77iPXm6un2d3yePT7f3s6jGpmJQq0bKUBJjhTKV1TkCQPKuFLAnXjKRQMQFMAzeVMTXLeMlMlUuSAWQiBSiB7aPTtbcfuvcxtlS01lexC-2gG32RZjRlSqpcRPTkD7roxmkqE8UEVULmKlJna6oaOu8HqIt-sK0eVgUlxbSM-GtefC0jssffxrFswfySP9OPwMUaWNoGVv-bioen27XyEzT0lYc</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>Akgöl, Sedat</creator><creator>Budak, Mehmet Şükrü</creator><creator>Oğlak, Süleyman Cemil</creator><creator>Ölmez, Fatma</creator><creator>Dilek, Mehmet Emin</creator><creator>Kartal, Serhat</creator><general>John Wiley & Sons Australia, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TO</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8609-3049</orcidid><orcidid>https://orcid.org/0000-0003-4281-1226</orcidid><orcidid>https://orcid.org/0000-0003-2343-033X</orcidid><orcidid>https://orcid.org/0000-0001-7328-4188</orcidid><orcidid>https://orcid.org/0000-0002-1432-3543</orcidid><orcidid>https://orcid.org/0000-0001-7634-3008</orcidid></search><sort><creationdate>202203</creationdate><title>Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?</title><author>Akgöl, Sedat ; Budak, Mehmet Şükrü ; Oğlak, Süleyman Cemil ; Ölmez, Fatma ; Dilek, Mehmet Emin ; Kartal, Serhat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3778-a7b70e3d4382f90e5096f57b04a302ec35e3ae4dcddf364b3dc9706ee652eebe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Abdominal Fat</topic><topic>Blood Glucose</topic><topic>Diabetes mellitus</topic><topic>Diabetes, Gestational - drug therapy</topic><topic>Female</topic><topic>Gestational diabetes</topic><topic>Humans</topic><topic>Insulin</topic><topic>Insulin - therapeutic use</topic><topic>Nutrition therapy</topic><topic>obstetrics: basic science</topic><topic>Patients</topic><topic>Pregnancy</topic><topic>Prospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akgöl, Sedat</creatorcontrib><creatorcontrib>Budak, Mehmet Şükrü</creatorcontrib><creatorcontrib>Oğlak, Süleyman Cemil</creatorcontrib><creatorcontrib>Ölmez, Fatma</creatorcontrib><creatorcontrib>Dilek, Mehmet Emin</creatorcontrib><creatorcontrib>Kartal, Serhat</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>The journal of obstetrics and gynaecology research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akgöl, Sedat</au><au>Budak, Mehmet Şükrü</au><au>Oğlak, Süleyman Cemil</au><au>Ölmez, Fatma</au><au>Dilek, Mehmet Emin</au><au>Kartal, Serhat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?</atitle><jtitle>The journal of obstetrics and gynaecology research</jtitle><addtitle>J Obstet Gynaecol Res</addtitle><date>2022-03</date><risdate>2022</risdate><volume>48</volume><issue>3</issue><spage>634</spage><epage>639</epage><pages>634-639</pages><issn>1341-8076</issn><eissn>1447-0756</eissn><abstract>Purpose
This study aimed to investigate the effectiveness of abdominal subcutaneous fat thickness (ASFT) in predicting antenatal insulin therapy (AIT) in patients with gestational diabetes mellitus (GDM).
Methods
A prospective study was conducted on patients with regulated blood sugar levels (n = 50) and those with unregulated blood sugar (n = 50) although medical nutrition therapy (MNT) was initiated and then AIT was applied. Using receiver operator characteristic (ROC) curve analysis, appropriate ASFT cut‐off point values were found for the prediction of cases that required AIT after MNT in GDM pregnancies.
Results
Patients with GDM who needed AIT had a significantly higher ASFT value compared to those with GDM who did not need AIT. The optimal ASFT cutoff was 21.7 mm in predicting cases that required AIT after MNT (sensitivity, specificity, negative, and positive predictive values were 68.0%, 64.0%, 65.8%, and 66.6%, respectively). The risk of AIT increased 3.77‐fold in those with ASFT > 21.7 mm in GDM pregnancies (p = 0.001).
Conclusion
The ASFT value was significantly higher in cases with GDM, with blood glucose levels not regulated despite MNT and AIT being then needed, compared to patients with blood glucose levels regulated by MNT, and who did not need AIT. Also, patients requiring AIT can be determined with moderate to high sensitivity and specificity using a cut‐off value of ASFT > 21.7 mm. The ASFT > 21.7 mm cut‐off point was seen to be more effective than BMI ≥ 30 kg/m2 in the determination of cases where AIT is required.</abstract><cop>Kyoto, Japan</cop><pub>John Wiley & Sons Australia, Ltd</pub><pmid>34931403</pmid><doi>10.1111/jog.15128</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-8609-3049</orcidid><orcidid>https://orcid.org/0000-0003-4281-1226</orcidid><orcidid>https://orcid.org/0000-0003-2343-033X</orcidid><orcidid>https://orcid.org/0000-0001-7328-4188</orcidid><orcidid>https://orcid.org/0000-0002-1432-3543</orcidid><orcidid>https://orcid.org/0000-0001-7634-3008</orcidid></addata></record> |
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subjects | Abdominal Fat Blood Glucose Diabetes mellitus Diabetes, Gestational - drug therapy Female Gestational diabetes Humans Insulin Insulin - therapeutic use Nutrition therapy obstetrics: basic science Patients Pregnancy Prospective Studies |
title | Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus? |
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