1245-P: GDM Patients and Prognostic Factors for Subsequent Type 2 Diabetes Mellitus—An Electronic Cohort Review
Introduction: GDM affects 8-10% of pregnancies in the US and nearly 50% of these women have subsequent diabetes diagnosis. However, research on the prognostic factors of T2D incidence among women with GDM is scarce, due to the limited sample sizes. We aim 1) to construct a large electronic cohort of...
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| Veröffentlicht in: | Diabetes (New York, N.Y.) N.Y.), 2024-06, Vol.73 (Supplement_1), p.1 |
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| container_title | Diabetes (New York, N.Y.) |
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| creator | KIM, RYUNG S. LI, LIHUA ISASI, CARMEN R. PHILIS-TSIMIKAS, ATHENA MOON, JEE-YOUNG LIU, JUNXIU WOLFE, DIANA S. LEVY, CAROL J. |
| description | Introduction: GDM affects 8-10% of pregnancies in the US and nearly 50% of these women have subsequent diabetes diagnosis. However, research on the prognostic factors of T2D incidence among women with GDM is scarce, due to the limited sample sizes. We aim 1) to construct a large electronic cohort of GDM and 2) to build a prognostic model for T2D incidence among patients with GDM.
Methods: We extracted EMRs of patients diagnosed with GDM between 2016 and 2022 from two health systems in NYC: Montefiore (MMC) and Mt. Sinai. Only MMC patients were analyzed in this report. Prognostic factors during pregnancy included 32 baseline & pregnancy characteristics, 76 office visit variables, 418 lab tests, and prescription of 31 drugs. Time from GDM diagnosis to T2D was analyzed using proportional hazards models.
Results: We collected EMRs of 6,014 GDM patients at MMC who were racially diverse with a median age of 32, BMI of 31.8 kg/m2. Among them, 355 (5.9%) later developed T2D, yielding a high T2D incidence rate (21.1 per 1,000 PY). There was an immediate heightened risk: T2D incidence proportions were 3.8% by 1 year after GDM diagnosis, and 11.9% by 5 years. The risk was elevated in Hispanic White (HR=2.3), Hispanic Non-White (HR=2.0), and Black (HR=2.3) compared to non-Hispanic White (p |
| doi_str_mv | 10.2337/db24-1245-P |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3111275139</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3111275139</sourcerecordid><originalsourceid>FETCH-LOGICAL-c649-6ebc612d6c0101574c66be17790e7a159623fc22173f331aa33e7c5263ab23333</originalsourceid><addsrcrecordid>eNotkEFOwzAQRS0EEqWw4gKWWKKAx5PYCruqpQWpFRF0wc5yXAdShbi1HVB3HIITchJSFc3ib97MHz1CLoHdcER5uyp5mgBPs6Q4IgPIMU-Qy9djMmAMeAIyl6fkLIQ1Y0z0MyDbA31HZ5MFLXSsbRsD1e2KFt69tS7E2tCpNtH5QCvn6UtXBrvteowudxtLOZ3UurTRBrqwTVPHLvx-_4xaet9YE71r-_2xe3c-0mf7Wduvc3JS6SbYi_8ckuX0fjl-SOZPs8fxaJ4YkeaJsKURwFfCMGCQydQIUVqQMmdWashywbEynIPEChG0RrTSZFygLnsViENydTi78a5_N0S1dp1v-0aFAMBlBpj31PWBMt6F4G2lNr7-0H6ngKm9UrVXqvaSVIF_UQloIw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3111275139</pqid></control><display><type>article</type><title>1245-P: GDM Patients and Prognostic Factors for Subsequent Type 2 Diabetes Mellitus—An Electronic Cohort Review</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>KIM, RYUNG S. ; LI, LIHUA ; ISASI, CARMEN R. ; PHILIS-TSIMIKAS, ATHENA ; MOON, JEE-YOUNG ; LIU, JUNXIU ; WOLFE, DIANA S. ; LEVY, CAROL J.</creator><creatorcontrib>KIM, RYUNG S. ; LI, LIHUA ; ISASI, CARMEN R. ; PHILIS-TSIMIKAS, ATHENA ; MOON, JEE-YOUNG ; LIU, JUNXIU ; WOLFE, DIANA S. ; LEVY, CAROL J.</creatorcontrib><description>Introduction: GDM affects 8-10% of pregnancies in the US and nearly 50% of these women have subsequent diabetes diagnosis. However, research on the prognostic factors of T2D incidence among women with GDM is scarce, due to the limited sample sizes. We aim 1) to construct a large electronic cohort of GDM and 2) to build a prognostic model for T2D incidence among patients with GDM.
Methods: We extracted EMRs of patients diagnosed with GDM between 2016 and 2022 from two health systems in NYC: Montefiore (MMC) and Mt. Sinai. Only MMC patients were analyzed in this report. Prognostic factors during pregnancy included 32 baseline & pregnancy characteristics, 76 office visit variables, 418 lab tests, and prescription of 31 drugs. Time from GDM diagnosis to T2D was analyzed using proportional hazards models.
Results: We collected EMRs of 6,014 GDM patients at MMC who were racially diverse with a median age of 32, BMI of 31.8 kg/m2. Among them, 355 (5.9%) later developed T2D, yielding a high T2D incidence rate (21.1 per 1,000 PY). There was an immediate heightened risk: T2D incidence proportions were 3.8% by 1 year after GDM diagnosis, and 11.9% by 5 years. The risk was elevated in Hispanic White (HR=2.3), Hispanic Non-White (HR=2.0), and Black (HR=2.3) compared to non-Hispanic White (p<0.00001). The risk was associated with higher BMI during pregnancy, insulin or oral-agent control compared to diet therapy, younger gestational age at GDM diagnosis, and Caesarean delivery. Lab findings associated with T2D risk included maternal glucose levels, erythrocyte MCH, monocytes, and ketone. T2D incidence was also associated with prescription of insulin therapy, oral treatment, aspirin, and iron supplements likely indicating underlying obstetric complications.
Conclusions: A large electronic cohort of GDM patients identified potential prognostic factors of subsequent T2D. Future directions include calibration of 2 cohorts to establish the largest electronic cohort of GDM to date and building prognostic models for T2D risk.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db24-1245-P</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Aspirin ; Cesarean section ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diagnosis ; Dietary supplements ; Gestational age ; Insulin ; Monocytes ; Nutrition therapy ; Pregnancy</subject><ispartof>Diabetes (New York, N.Y.), 2024-06, Vol.73 (Supplement_1), p.1</ispartof><rights>Copyright American Diabetes Association Jun 2024</rights><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>315,781,785,27926,27927</link.rule.ids></links><search><creatorcontrib>KIM, RYUNG S.</creatorcontrib><creatorcontrib>LI, LIHUA</creatorcontrib><creatorcontrib>ISASI, CARMEN R.</creatorcontrib><creatorcontrib>PHILIS-TSIMIKAS, ATHENA</creatorcontrib><creatorcontrib>MOON, JEE-YOUNG</creatorcontrib><creatorcontrib>LIU, JUNXIU</creatorcontrib><creatorcontrib>WOLFE, DIANA S.</creatorcontrib><creatorcontrib>LEVY, CAROL J.</creatorcontrib><title>1245-P: GDM Patients and Prognostic Factors for Subsequent Type 2 Diabetes Mellitus—An Electronic Cohort Review</title><title>Diabetes (New York, N.Y.)</title><description>Introduction: GDM affects 8-10% of pregnancies in the US and nearly 50% of these women have subsequent diabetes diagnosis. However, research on the prognostic factors of T2D incidence among women with GDM is scarce, due to the limited sample sizes. We aim 1) to construct a large electronic cohort of GDM and 2) to build a prognostic model for T2D incidence among patients with GDM.
Methods: We extracted EMRs of patients diagnosed with GDM between 2016 and 2022 from two health systems in NYC: Montefiore (MMC) and Mt. Sinai. Only MMC patients were analyzed in this report. Prognostic factors during pregnancy included 32 baseline & pregnancy characteristics, 76 office visit variables, 418 lab tests, and prescription of 31 drugs. Time from GDM diagnosis to T2D was analyzed using proportional hazards models.
Results: We collected EMRs of 6,014 GDM patients at MMC who were racially diverse with a median age of 32, BMI of 31.8 kg/m2. Among them, 355 (5.9%) later developed T2D, yielding a high T2D incidence rate (21.1 per 1,000 PY). There was an immediate heightened risk: T2D incidence proportions were 3.8% by 1 year after GDM diagnosis, and 11.9% by 5 years. The risk was elevated in Hispanic White (HR=2.3), Hispanic Non-White (HR=2.0), and Black (HR=2.3) compared to non-Hispanic White (p<0.00001). The risk was associated with higher BMI during pregnancy, insulin or oral-agent control compared to diet therapy, younger gestational age at GDM diagnosis, and Caesarean delivery. Lab findings associated with T2D risk included maternal glucose levels, erythrocyte MCH, monocytes, and ketone. T2D incidence was also associated with prescription of insulin therapy, oral treatment, aspirin, and iron supplements likely indicating underlying obstetric complications.
Conclusions: A large electronic cohort of GDM patients identified potential prognostic factors of subsequent T2D. Future directions include calibration of 2 cohorts to establish the largest electronic cohort of GDM to date and building prognostic models for T2D risk.</description><subject>Aspirin</subject><subject>Cesarean section</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diagnosis</subject><subject>Dietary supplements</subject><subject>Gestational age</subject><subject>Insulin</subject><subject>Monocytes</subject><subject>Nutrition therapy</subject><subject>Pregnancy</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNotkEFOwzAQRS0EEqWw4gKWWKKAx5PYCruqpQWpFRF0wc5yXAdShbi1HVB3HIITchJSFc3ib97MHz1CLoHdcER5uyp5mgBPs6Q4IgPIMU-Qy9djMmAMeAIyl6fkLIQ1Y0z0MyDbA31HZ5MFLXSsbRsD1e2KFt69tS7E2tCpNtH5QCvn6UtXBrvteowudxtLOZ3UurTRBrqwTVPHLvx-_4xaet9YE71r-_2xe3c-0mf7Wduvc3JS6SbYi_8ckuX0fjl-SOZPs8fxaJ4YkeaJsKURwFfCMGCQydQIUVqQMmdWashywbEynIPEChG0RrTSZFygLnsViENydTi78a5_N0S1dp1v-0aFAMBlBpj31PWBMt6F4G2lNr7-0H6ngKm9UrVXqvaSVIF_UQloIw</recordid><startdate>20240614</startdate><enddate>20240614</enddate><creator>KIM, RYUNG S.</creator><creator>LI, LIHUA</creator><creator>ISASI, CARMEN R.</creator><creator>PHILIS-TSIMIKAS, ATHENA</creator><creator>MOON, JEE-YOUNG</creator><creator>LIU, JUNXIU</creator><creator>WOLFE, DIANA S.</creator><creator>LEVY, CAROL J.</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20240614</creationdate><title>1245-P: GDM Patients and Prognostic Factors for Subsequent Type 2 Diabetes Mellitus—An Electronic Cohort Review</title><author>KIM, RYUNG S. ; LI, LIHUA ; ISASI, CARMEN R. ; PHILIS-TSIMIKAS, ATHENA ; MOON, JEE-YOUNG ; LIU, JUNXIU ; WOLFE, DIANA S. ; LEVY, CAROL J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c649-6ebc612d6c0101574c66be17790e7a159623fc22173f331aa33e7c5263ab23333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aspirin</topic><topic>Cesarean section</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diagnosis</topic><topic>Dietary supplements</topic><topic>Gestational age</topic><topic>Insulin</topic><topic>Monocytes</topic><topic>Nutrition therapy</topic><topic>Pregnancy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KIM, RYUNG S.</creatorcontrib><creatorcontrib>LI, LIHUA</creatorcontrib><creatorcontrib>ISASI, CARMEN R.</creatorcontrib><creatorcontrib>PHILIS-TSIMIKAS, ATHENA</creatorcontrib><creatorcontrib>MOON, JEE-YOUNG</creatorcontrib><creatorcontrib>LIU, JUNXIU</creatorcontrib><creatorcontrib>WOLFE, DIANA S.</creatorcontrib><creatorcontrib>LEVY, CAROL J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KIM, RYUNG S.</au><au>LI, LIHUA</au><au>ISASI, CARMEN R.</au><au>PHILIS-TSIMIKAS, ATHENA</au><au>MOON, JEE-YOUNG</au><au>LIU, JUNXIU</au><au>WOLFE, DIANA S.</au><au>LEVY, CAROL J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>1245-P: GDM Patients and Prognostic Factors for Subsequent Type 2 Diabetes Mellitus—An Electronic Cohort Review</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2024-06-14</date><risdate>2024</risdate><volume>73</volume><issue>Supplement_1</issue><spage>1</spage><pages>1-</pages><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Introduction: GDM affects 8-10% of pregnancies in the US and nearly 50% of these women have subsequent diabetes diagnosis. However, research on the prognostic factors of T2D incidence among women with GDM is scarce, due to the limited sample sizes. We aim 1) to construct a large electronic cohort of GDM and 2) to build a prognostic model for T2D incidence among patients with GDM.
Methods: We extracted EMRs of patients diagnosed with GDM between 2016 and 2022 from two health systems in NYC: Montefiore (MMC) and Mt. Sinai. Only MMC patients were analyzed in this report. Prognostic factors during pregnancy included 32 baseline & pregnancy characteristics, 76 office visit variables, 418 lab tests, and prescription of 31 drugs. Time from GDM diagnosis to T2D was analyzed using proportional hazards models.
Results: We collected EMRs of 6,014 GDM patients at MMC who were racially diverse with a median age of 32, BMI of 31.8 kg/m2. Among them, 355 (5.9%) later developed T2D, yielding a high T2D incidence rate (21.1 per 1,000 PY). There was an immediate heightened risk: T2D incidence proportions were 3.8% by 1 year after GDM diagnosis, and 11.9% by 5 years. The risk was elevated in Hispanic White (HR=2.3), Hispanic Non-White (HR=2.0), and Black (HR=2.3) compared to non-Hispanic White (p<0.00001). The risk was associated with higher BMI during pregnancy, insulin or oral-agent control compared to diet therapy, younger gestational age at GDM diagnosis, and Caesarean delivery. Lab findings associated with T2D risk included maternal glucose levels, erythrocyte MCH, monocytes, and ketone. T2D incidence was also associated with prescription of insulin therapy, oral treatment, aspirin, and iron supplements likely indicating underlying obstetric complications.
Conclusions: A large electronic cohort of GDM patients identified potential prognostic factors of subsequent T2D. Future directions include calibration of 2 cohorts to establish the largest electronic cohort of GDM to date and building prognostic models for T2D risk.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db24-1245-P</doi></addata></record> |
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| subjects | Aspirin Cesarean section Diabetes Diabetes mellitus (non-insulin dependent) Diagnosis Dietary supplements Gestational age Insulin Monocytes Nutrition therapy Pregnancy |
| title | 1245-P: GDM Patients and Prognostic Factors for Subsequent Type 2 Diabetes Mellitus—An Electronic Cohort Review |
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