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Riaz M, Waris N, Saadat A, Fawwad A, Basit A. Gestational diabetes mellitus as a risk factor for future Type-2 diabetes mellitus: An experience from a tertiary care diabetes hospital, Karachi - Pakistan. Pak J Med Sci 2024; 40:851-856. [PMID: 38827883 PMCID: PMC11140359 DOI: 10.12669/pjms.40.5.7507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/12/2024] [Accepted: 01/31/2024] [Indexed: 06/05/2024] Open
Abstract
Objective To evaluate the history of gestational diabetes mellitus and other risk factors in women presenting with Type-2 diabetes mellitus at a tertiary care hospital. Methods This cross-sectional study was carried out at Baqai Institute of Diabetology & Endocrinology (BIDE), Baqai Medical University (BMU), Karachi-Pakistan from July 2019 to May 2022. Women with Type-2 diabetes mellitus (T2DM) visiting outpatient department of BIDE with a previous history of GDM were recruited. Details were obtained on pre-designed questionnaire after taking informed written consent. Results A total of 378 women who had a prior history of GDM were included. Mean age (years) was 43.53±10.17. Mostly women were obese (BMI = 30.53±6.08) and have sedentary lifestyle. Mean HbA1c (%) was 9.08±2.24. This study found family history of T2DM and hypertension were common risk factors in women with GDM history. Mostly, women were diagnosed as GDM during 2nd trimester 153(42%) and was mainly seen in multiparous women (occur in 4th and above pregnancy). We found hypertension as common complication during pregnancy. Around 46% women developed T2DM within one year of GDM diagnosis, and 29.6% between one to five years. Conclusion Majority of women with GDM developed T2DM within five years of diagnosis. The potential associated risk factors were age, family history of diabetes, insulin use during pregnancy, trimester of GDM diagnosis, and hypertension during pregnancy. Awareness and life style modifications along with regular post-partum follow up with screening for T2DM should be part of GDM management to prevent or delay the occurrence of this serious complication.
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Affiliation(s)
- Musarrat Riaz
- Musarrat Riaz, FCPS. Associate Professor, Department of Medicine, Consultant Endocrinologist, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Nazish Waris
- Nazish Waris, Ph.D. Senior Lecturer, Department of Biochemistry, Research Associate, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Akifa Saadat
- Akifa Saadat, B.S. Research Officer, Research Department, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Asher Fawwad
- Asher Fawwad, Ph.D. Professor & Head of the Biochemistry Department, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Abdul Basit
- Abdul Basit, FRCP. Professor of Medicine, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
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Bengtson AM, Dice ALE, Clark MA, Gutman R, Rouse D, Werner E. Predicting Progression from Gestational Diabetes to Impaired Glucose Tolerance Using Peridelivery Data: An Observational Study. Am J Perinatol 2024; 41:e282-e289. [PMID: 35709723 DOI: 10.1055/a-1877-9587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE This article aimed to develop a predictive model to identify persons with recent gestational diabetes mellitus (GDM) most likely to progress to impaired glucose tolerance postpartum. STUDY DESIGN We conducted an observational study among persons with GDM in their most recent pregnancy, defined by Carpenter-Coustan criteria. Participants were followed up from delivery through 1-year postpartum. We used lasso regression with k-fold cross validation to develop a multivariable model to predict progression to impaired glucose tolerance, defined as HbA1c≥5.7%, at 1-year postpartum. Predictive ability was assessed by the area under the curve (AUC), sensitivity, specificity, and positive and negative predictive values (PPV and NPV). RESULTS Of 203 participants, 71 (35%) had impaired glucose tolerance at 1-year postpartum. The final model had an AUC of 0.79 (95% confidence interval [CI]: 0.72, 0.85) and included eight indicators of weight, body mass index, family history of type 2 diabetes, GDM in a prior pregnancy, GDM diagnosis<24 weeks' gestation, and fasting and 2-hour plasma glucose at 2 days postpartum. A cutoff point of ≥ 0.25 predicted probability had sensitivity of 80% (95% CI: 69, 89), specificity of 58% (95% CI: 49, 67), PPV of 51% (95% CI: 41, 61), and NPV of 85% (95% CI: 76, 91) to identify women with impaired glucose tolerance at 1-year postpartum. CONCLUSION Our predictive model had reasonable ability to predict impaired glucose tolerance around delivery for persons with recent GDM. KEY POINTS · We developed a predictive model to identify persons with GDM most likely to develop IGT postpartum.. · The final model had an AUC of 0.79 (95% CI: 0.72, 0.85) and included eight clinical indicators.. · If validated, our model could help prioritize diabetes prevention efforts among persons with GDM..
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Affiliation(s)
- Angela M Bengtson
- Department of Epidemiology, Brown School of Public Health, Providence, Rhode Island
| | | | - Melissa A Clark
- Department of Health Services, Policy and Practice; Brown School of Public Health, Providence, Rhode Island
- Department of Obstetrics and Gynecology, Women and Infants Hospital, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Roee Gutman
- Department of Biostatistics, Brown School of Public Health, Providence, Rhode Island
| | - Dwight Rouse
- Department of Epidemiology, Brown School of Public Health, Providence, Rhode Island
- Department of Obstetrics and Gynecology, Women and Infants Hospital, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Erika Werner
- Department of Epidemiology, Brown School of Public Health, Providence, Rhode Island
- Department of Obstetrics and Gynecology, Women and Infants Hospital, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
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Tsur N, Frankel M, Cahn A, Tsur A. Gestational diabetes and risk of future diabetes in a multi-ethnic population. J Diabetes Complications 2024; 38:108720. [PMID: 38452402 DOI: 10.1016/j.jdiacomp.2024.108720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 02/28/2024] [Accepted: 03/02/2024] [Indexed: 03/09/2024]
Abstract
AIM To investigate ethnic disparities in risk of gestational diabetes-mellitus (GDM) and future diabetes. METHODS A population-based retrospective cohort study of women who underwent a 100-g oral glucose-tolerance-test (oGTT) during pregnancy between 2007 and 2017 in Clalit-Health-Services of the Jerusalem district. Univariate and multivariate logistic regression analyses were used to compare the risk of GDM in Arab versus Jewish women. Further, Cox-regression analysis was used to establish the risk of future diabetes. RESULTS A total of 9875 women, 71 % of Jewish ethnicity and 29 % of Arab ethnicity were included. Arab women had a higher incidence of GDM compared to Jewish women (17.3 % vs. 10.6 %, p < 0.001), which persisted after adjusting for age, BMI, and metabolic profile (aOR 1.7; CI 1.48-2.0, P < 0.001). Additionally, Arab ethnicity was associated with an increased risk of future diabetes, even after adjusting for GDM status (aHR 5.9; 95 % CI 3.7-9.4, P < 0.001). CONCLUSIONS Women of Arab ethnicity have a higher risk for both GDM and future diabetes, a risk that is beyond the initial increased risk associated with GDM. These findings highlight the need for increased focus on preventing diabetes in women of Arab ethnicity, especially those with a history of GDM.
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Affiliation(s)
- Noa Tsur
- Department of Internal Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Meir Frankel
- Endocrinology Unit, Shaare Zedek Medical Center, Jerusalem, Israel; Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel
| | - Avivit Cahn
- The Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel; The Faculty of Medicine, Hadassah Hebrew University, Jerusalem, Israel
| | - Anat Tsur
- Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel; The Faculty of Medicine, Hadassah Hebrew University, Jerusalem, Israel.
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Tsur N, Pollack R, Frankel M, Tsur A. Future diabetes risk can be predicted by the number of abnormal oral glucose tolerance test values during pregnancy. Diabetes Obes Metab 2024; 26:1050-1056. [PMID: 38112029 DOI: 10.1111/dom.15406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/08/2023] [Accepted: 11/24/2023] [Indexed: 12/20/2023]
Abstract
AIM To quantify the future risk of type 2 diabetes (T2D) in women with gestational diabetes (GD) based on baseline metabolic characteristics and the number of abnormal values during a 3-hour 100-g oral glucose tolerance test (OGTT). MATERIALS AND METHODS We conducted a population-based retrospective cohort study of 10 023 pregnant women who underwent testing for GD in a large health maintenance organization in Israel using a 100-g OGTT. Glucose values were obtained at four time points, 0, 60, 120 and 180 minutes. RESULTS We identified 9939 women who met the study criteria. Median follow-up was 3.25 (interquartile range 1.5-5.1; maximum 10.1) years. Using women without GD as reference, women with GD were at an increased risk of future T2D (hazard ratio [HR] 5.33 [95% confidence interval {CI} 3.86-7.34]). This risk increased with a greater number of abnormal OGTT values, with the highest risk seen in women with four abnormal values (HR 16.67 [95% CI 7.94-35.01]). In a multivariate model, a higher number of abnormal values, Arab ethnicity, higher body mass index, triglycerides and prepregnancy glucose were significantly associated with increased risk. Future T2D risk was also affected by the type of OGTT abnormality; an abnormal fasting value had the greatest risk, whereas an abnormal 3-hour value had the lowest risk (HR 3.61 [95% CI 2.42-5.38] vs. 1.50 [95% CI 0.93-2.43], respectively). CONCLUSIONS GD is a heterogenous disease, with varying degrees of glucose intolerance and subsequent T2D risk. Targeting interventions to women at the highest risk may help to improve postpartum adherence and effective long-term follow-up strategies.
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Affiliation(s)
- Noa Tsur
- Department of Internal Medicine, Tel Aviv Sourasky Medical Centre, Tel Aviv, Israel
| | - Rena Pollack
- Department of Endocrinology and Metabolism, Hadassah Medical Centre, Jerusalem, Israel
- The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Meir Frankel
- Endocrinology Unit, Shaare Zedek Medical Centre, Jerusalem, Israel
- Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel
| | - Anat Tsur
- The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Endocrinology and Metabolism, Clalit Health Services, Jerusalem, Israel
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Mo Z, Cao C, Han Y, Hu H, He Y, Zuo X. Relationships between triglyceride-glucose index and incident gestational diabetes mellitus: a prospective cohort study of a Korean population using publicly available data. Front Public Health 2024; 12:1294588. [PMID: 38414896 PMCID: PMC10896852 DOI: 10.3389/fpubh.2024.1294588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024] Open
Abstract
Background The connection between the triglyceride-glucose index (TyG index) and gestational diabetes mellitus (GDM) is currently debated. Our study aimed to investigate the connection between the TyG index and GDM within the Korean population. Methods Using publically accessible data in Korea, we performed a secondary study on a sample of 589 pregnant women who were carrying a single fetus. The analysis employed a binary logistic regression model, some sensitivity analyses, and subgroup analysis to investigate the association between the TyG index and the occurrence of GDM. To assess the TyG index's potential to predict GDM, a receiver operating characteristic (ROC) study was also carried out. Results The mean age of the pregnant women was 32.065 ± 3.798 years old, while the mean TyG index was 8.352 ± 0.400. The prevalence rate of GDM was found to be 6.112%. Upon adjusting for potential confounding variables, a positive association was detected between the TyG index and incident GDM (OR = 12.923, 95%CI: 3.581-46.632, p = 0.00009). The validity of this connection was further confirmed by subgroup analysis and sensitivity analyses. With an area under the ROC curve of 0.807 (95%CI: 0.734-0.879), the TyG index showed strong predictive power for GDM. The TyG index's ideal cutoff value for detecting GDM was found to be 8.632, with a sensitivity of 78.7% and a specificity of 72.2%. Conclusion The findings of our study provide evidence that an increased TyG index is significantly associated with the occurrence of GDM. Utilizing the TyG index during the 10-14 week gestational period may be a valuable tool in identifying pregnant individuals at a heightened risk for developing GDM. Early detection enables timely and efficacious interventions, thereby enhancing the prognosis of affected individuals.
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Affiliation(s)
- Zihe Mo
- Department of Physical Examination, DongGuan Tungwah Hospital, Dongguan, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, Guangdong, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Yongcheng He
- Department of Nephrology, Shenzhen Hengsheng Hospital, Shenzhen, Guangdong, China
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Xin Zuo
- Department of Endocrinology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
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Horwitz MEM, Edwards CV, Athavale P, McCloskey L, Cabral HJ, Benjamin EJ, Handley MA. The STAR-MAMA RCT: Bilingual Mobile Health Coaching for Postpartum Weight Loss. Am J Prev Med 2023; 65:596-607. [PMID: 37028566 DOI: 10.1016/j.amepre.2023.03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/09/2023]
Abstract
INTRODUCTION Gestational diabetes and overweight during pregnancy are associated with future type 2 diabetes. Postpartum weight loss can reduce diabetes risk. However, effective interventions for postpartum weight loss are lacking, in particular for Latina populations, despite their disproportionate burdens of gestational diabetes, overweight, and diabetes. STUDY DESIGN This was a community-based RCT. SETTING/PARTICIPANTS Researchers recruited pregnant individuals with gestational diabetes or BMI>25 kg/m2 from safety-net health care settings and Women, Infants, and Children offices in Northern California in 2014-2018. Of 180 individuals randomized to intervention (n=89) or control (n=91), 78% identified as Latina, 61% were primarily Spanish speaking, and 76% perceived their diabetes risk to be low. INTERVENTION The intervention consisted of a 5-month postpartum telephone-based health coaching intervention delivered in English or Spanish. MAIN OUTCOME MEASURES Data were collected through surveys at enrollment and 9-12 months after delivery and chart review up to 12 months after delivery. The primary outcome, weight change from prepregnancy to 9-12 months after delivery, was compared between the groups, overall and within strata defined a priori according to language (Spanish or English) and diabetes risk perception (none/slight or moderate/high). RESULTS The intent-to-treat estimated intervention effect was +0.7 kg (95% CI= -2.4 kg, +3.8 kg; p=0.67). In stratified analyses, intervention effects remained nonsignificant but varied in direction: effects were favorable among English speakers and those with higher perceived diabetes risk, and unfavorable among Spanish speakers and those with lower perceived risk. Analyses were conducted in 2021-2022. CONCLUSIONS A postpartum health coaching intervention, designed for low-income Latina women at increased risk for diabetes, did not reduce postpartum weight gain. Intervention effects were nonsignificantly more favorable among English speakers versus Spanish speakers, and among those who perceived their diabetes risk to be high versus low. TRIAL REGISTRATION This study is registered at www. CLINICALTRIALS gov NCT02240420.
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Affiliation(s)
- Mara E Murray Horwitz
- Women's Health Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts.
| | - Camille V Edwards
- Section of Hematology/Oncology, Department of Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts
| | - Priyanka Athavale
- Division of General Internal Medicine, Department of Medicine, School of Medicine, University of California San Francisco, San Francisco, California
| | - Lois McCloskey
- Department of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts
| | - Howard J Cabral
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Emelia J Benjamin
- Section of Cardiovascular Medicine, Department of Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Margaret A Handley
- Department of Epidemiology, School of Medicine, University of California San Francisco, San Francisco, California; Department of Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California; Partnerships for Research in Implementation Science for Equity (PRISE) Center, University of California San Francisco, San Francisco, California
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Poznyak AV, Khotina VA, Zhigmitova EB, Sukhorukov VN, Postnov AY, Orekhov AN. Is There a Relationship between Adverse Pregnancy Outcomes and Future Development of Atherosclerosis? Biomedicines 2023; 11:2430. [PMID: 37760871 PMCID: PMC10525592 DOI: 10.3390/biomedicines11092430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 08/26/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Abstract
Cardiovascular disease is one of the main death causes globally. Effective cardiovascular risk management requires a thorough understanding of the mechanisms underlying the disorder. Establishing early markers of the disease allows a timely intervention and prevention of further atherosclerosis development. Multiple studies confirm the correlation between pregnancy disorders and cardiovascular disease in the postpartum period. Moreover, over 30% of women experience adverse pregnancy outcomes. Thus, the examination of the links between these conditions and atherosclerotic cardiovascular disease may help to identify gender-specific risk factors. In this review, we will explore the association between several adverse pregnancy outcome conditions and atherosclerosis. The current analysis is based on the data from several recent studies on the mechanisms behind gestational diabetes, hypertensive disorders of pregnancy, miscarriages, and stillbirths and their implications for the female cardiovascular system.
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Affiliation(s)
- Anastasia V. Poznyak
- Institute for Atherosclerosis Research, Osennyaya 4-1-207, 121609 Moscow, Russia
| | - Victoria A. Khotina
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Federal State Budgetary Scientific Institution «Petrovsky National Research Centre of Surgery» (FSBSI “Petrovsky NRCS”), Abrikosovsky per., 2, 119991 Moscow, Russia; (V.A.K.); (E.B.Z.); (V.N.S.); (A.Y.P.)
| | - Elena B. Zhigmitova
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Federal State Budgetary Scientific Institution «Petrovsky National Research Centre of Surgery» (FSBSI “Petrovsky NRCS”), Abrikosovsky per., 2, 119991 Moscow, Russia; (V.A.K.); (E.B.Z.); (V.N.S.); (A.Y.P.)
| | - Vasily N. Sukhorukov
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Federal State Budgetary Scientific Institution «Petrovsky National Research Centre of Surgery» (FSBSI “Petrovsky NRCS”), Abrikosovsky per., 2, 119991 Moscow, Russia; (V.A.K.); (E.B.Z.); (V.N.S.); (A.Y.P.)
| | - Anton Y. Postnov
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Federal State Budgetary Scientific Institution «Petrovsky National Research Centre of Surgery» (FSBSI “Petrovsky NRCS”), Abrikosovsky per., 2, 119991 Moscow, Russia; (V.A.K.); (E.B.Z.); (V.N.S.); (A.Y.P.)
| | - Alexander N. Orekhov
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Federal State Budgetary Scientific Institution «Petrovsky National Research Centre of Surgery» (FSBSI “Petrovsky NRCS”), Abrikosovsky per., 2, 119991 Moscow, Russia; (V.A.K.); (E.B.Z.); (V.N.S.); (A.Y.P.)
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Melero V, Arnoriaga M, Barabash A, Valerio J, Del Valle L, Martin O'Connor R, de Miguel MP, Diaz JA, Familiar C, Moraga I, Duran A, Cuesta M, Torrejon MJ, Martinez-Novillo M, Moreno M, Romera G, Runkle I, Pazos M, Rubio MA, Matia-Martín P, Calle-Pascual AL. An Early Mediterranean-Based Nutritional Intervention during Pregnancy Reduces Metabolic Syndrome and Glucose Dysregulation Rates at 3 Years Postpartum. Nutrients 2023; 15:3252. [PMID: 37513670 PMCID: PMC10383706 DOI: 10.3390/nu15143252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
A Mediterranean diet (MedDiet)-based intervention reduces the rate of immediate postpartum maternal metabolic disorders. Whether these effects persist long-term remains to be determined. A total of 2526 normoglycemic women were randomized before the 12th gestational week (GW). IG women followed a MedDiet with extra virgin olive oil (EVOO) (>40 mL/day) and a handful of nuts daily, whereas CG women had to restrict all kinds of dietary fat. At 3 months postpartum, a motivational lifestyle interview was held. The endpoint of the study evaluated the rate of abnormal glucose regulation (AGR) and metabolic syndrome (MetS) at 3 years postpartum in women of the San Carlos cohort. A total of 369/625 (59%) CG women and 1031/1603 (64.3%) IG women were finally analyzed. At 3 months and 3 years postdelivery, the IG women showed higher adherence to the MedDiet, which was associated with lower values of body mass index (BMI) and lipid and glycemic profiles. Body weight change and waist circumference were lower in the IG women. After applying multiple regression analysis, the ORs (95%CI) resulted in AGR (3.18 (2.48-4.08); p < 0.001)/MetS (3.79 (1.81-7.95); p = 0.001) for women with GDM and higher OR for development of MetS in CG women (3.73 (1.77-7.87); p = 0.001). A MedDiet-based intervention early in pregnancy demonstrated persistent beneficial effects on AGR and MetS rates at 3 years postpartum.
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Affiliation(s)
- Verónica Melero
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Maria Arnoriaga
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Ana Barabash
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Johanna Valerio
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Laura Del Valle
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Rocio Martin O'Connor
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Maria Paz de Miguel
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Jose Angel Diaz
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Cristina Familiar
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Inmaculada Moraga
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Alejandra Duran
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Martín Cuesta
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - María José Torrejon
- Clinical Laboratory Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Mercedes Martinez-Novillo
- Clinical Laboratory Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Maria Moreno
- Clinical Laboratory Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Gisela Romera
- Clinical Laboratory Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Isabelle Runkle
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Mario Pazos
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Miguel A Rubio
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Pilar Matia-Martín
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Alfonso Luis Calle-Pascual
- Endocrinology and Nutrition Department, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
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Wilkie GL, Delpapa E, Leftwich HK. Screening test characteristics and comparison of diabetes outcomes among pregnant patients with prediabetes. J OBSTET GYNAECOL 2022; 42:3498-3502. [PMID: 36448554 DOI: 10.1080/01443615.2022.2151344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
This study sought to compare test characteristics of hemoglobin A1c, oral glucose tolerance test and fasting plasma glucose for the development of gestational diabetes among women with prediabetes. Diabetes outcomes were compared by screening test used for prediabetes diagnosis among a retrospective cohort of pregnant patients between 2017-2021. During the study, 8132 patients received diabetes screening and 14.0% met criteria for prediabetes. By screening test, 75.1% were screened with hemoglobin A1c, 10.0% with fasting plasma glucose and 14.9% with a 75-g oral glucose tolerance test. Hemoglobin A1c had the highest positive predictive value (67.2%). Use of hemoglobin A1c was significantly more likely to identify women with GDM than oral glucose tolerance test (aOR 3.94, 95% CI 2.30-6.73). In this study cohort, hemoglobin A1c was able to identify patients that were more likely to develop GDM in an at-risk population.IMPACT STATEMENTWhat is already known on this subject? Prediabetes is becoming more common in the general population; however little is known about prediabetes in pregnancy. Women with prediabetes in pregnancy appear to be at increased risk of developing gestational diabetes mellitus, however there is minimal information about various screening tests performance in pregnancy for detection of prediabetes and subsequent gestational diabetes.What do the results of this study add? The results of this study compare three commonly used screening tests for screening for diabetes. When identifying women with prediabetes, they are at increased risk for developing gestational diabetes mellitus if identified by hemoglobin A1c.What are the implications of these findings for clinical practice and/or further research? The clinical implication of this study is that women can be screened with hemoglobin A1c in early pregnancy for both overt diabetes, but also may be identified as high risk with prediabetes. Among women with prediabetes by hemoglobin A1c, they remain at high risk for developing gestational diabetes mellitus.
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Affiliation(s)
- Gianna L. Wilkie
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of Massachusetts Memorial HealthCare and University of Massachusetts Medical School, Worcester, MA, USA
| | - Ellen Delpapa
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of Massachusetts Memorial HealthCare and University of Massachusetts Medical School, Worcester, MA, USA
| | - Heidi K. Leftwich
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of Massachusetts Memorial HealthCare and University of Massachusetts Medical School, Worcester, MA, USA
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Choi MJ, Choi J, Chung CW. Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study. Endocrinol Metab (Seoul) 2022; 37:112-123. [PMID: 35255605 PMCID: PMC8901973 DOI: 10.3803/enm.2021.1276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/18/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND There are differences in risk and risk factor findings of postpartum type 2 diabetes mellitus (T2DM) after gestational diabetes depending on study design and subjects of previous studies. This study aimed to assess these risk and risk factors more accurately through a population-based study to provide basic data for prevention strategies. METHODS This open retrospective cohort included data of 419,101 women with gestational diabetes and matched 1,228,802 control women who delivered between 2004 and 2016 from the South Korea National Health Information Database of the National Health Insurance Service. Following 14 (median 5.9) years of follow-up, the incidence and hazard ratio (HR) of postpartum T2DM were evaluated using Kaplan-Meier curves and Cox proportional regression models. RESULTS The incidence and HR of postpartum T2DM in women with gestational diabetes (compared to women without gestational diabetes) after the 14-year follow-up was 21.3% and 2.78 (95% confidence interval [CI], 2.74 to 2.82), respectively. Comorbid obesity (body mass index [BMI] ≥25 kg/m2) increased postpartum T2DM risk 7.59 times (95% CI, 7.33 to 7.86). Significant risk factors for postpartum T2DM were fasting glucose level, BMI, age, family history of diabetes, hypertension, and insulin use during pregnancy. CONCLUSION This population-based study showed higher postpartum T2DM risk in women with gestational diabetes than in those without, which was further increased by comorbid obesity. BMI and fasting glucose level were important postpartum risk factors. The management of obesity and glycemic control may be important strategies to prevent the incidence of diabetes after delivery.
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Affiliation(s)
- Mi Jin Choi
- Department of Nursing, Chodang University, Muan,
Korea
| | - Jimi Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul,
Korea
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