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Panchal H, Turk N, Moin T, Mangione CM, Vu A, Amaya S, Norris KC, Duru OK. Educational Attainment, Decision-Making Preferences, and Interest in Evidence-Based Diabetes Prevention among Women with a History of Gestational Diabetes Mellitus. WOMEN'S HEALTH REPORTS 2021; 2:106-112. [PMID: 33937908 PMCID: PMC8082012 DOI: 10.1089/whr.2020.0116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 03/17/2021] [Indexed: 12/16/2022]
Abstract
Background: The Diabetes Prevention Program (DPP) showed that lifestyle change or metformin is equally efficacious in preventing diabetes in women who have had gestational diabetes mellitus (GDM). Few studies have investigated the relationship between education and willingness to engage in either intervention and between education and preferred decision-making style. Methods: Within a large health system, we surveyed insured women 18-64 years old with a history of GDM, identified through the electronic health record. We estimated preference for decision-making style and interest in DPP lifestyle change and/or metformin by educational level, using multivariate logistic regression models controlling for age, race, and ethnicity. Results: Our sample (n = 264) was 36% Latino, 29% Asian, 28% non-Latino white, and 5% African American, with a mean age of 37 years. In terms of education, 31% had a postgraduate degree, 41% were college graduates, and 29% did not graduate from college. In multivariate analyses, willingness to engage in either intervention did not vary by education. Women who did not graduate from college were more likely to leave medical decisions to their provider (p = 0.004) compared to women with a college or postgraduate degree. However, regardless of education, over 80% of women preferred to make medical decisions themselves or jointly with their provider. Conclusions: Most women prefer to play an active role in their own medical decisions and have an interest in both evidence-based diabetes prevention strategies. This suggests that shared decision-making is appropriate for many women with a history of GDM and different levels of educational attainment.
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Affiliation(s)
- Hemali Panchal
- Department of Internal Medicine, University of California, Davis, Sacramento, California, USA
| | - Norman Turk
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Tannaz Moin
- Division of Endocrinology, Diabetes and Metabolism, University of California, Los Angeles, Los Angeles, California, USA.,HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Health System, Los Angeles, California, USA
| | - Carol M Mangione
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Amanda Vu
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Sarah Amaya
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Keith C Norris
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Obidiugwu Kenrik Duru
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
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Liu L, Liu L, Wang J, Zheng Q, Jin B, Sun L. Differentiation of gestational diabetes mellitus by nuclear magnetic resonance-based metabolic plasma analysis. J Biomed Res 2021; 35:351-360. [PMID: 34511531 PMCID: PMC8502693 DOI: 10.7555/jbr.35.20200191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
This study aimed to investigate the metabolic profile of gestational diabetes mellitus (GDM) at both antepartum and postpartum periods. Seventy pregnant women were divided into three groups: the normal glucose-tolerant group (NGT, n=35), the abnormal glucose-tolerant groups without insulin therapy (A1GDM, n=24) or with insulin therapy (A2GDM, n=11). Metabolic profiles of the plasma were acquired by proton nuclear magnetic resonance (1H-NMR) spectroscopy and analyzed by multivariate statistical data analysis. The relationship between demographic parameters and the potential metabolite biomarkers was further explored. Group antepartum or postpartum showed similar metabolic trends. Compare with those of the NGT group, the levels of 2-hydroxybutyrate, lysine, acetate, glutamine, succinate, tyrosine, formate, and all three BCAAs (leucine, valine, isoleucine) in the A2GDM group were increased dramatically, and the levels of lysine, acetate, and formate in the A1GDM group were elevated significantly. The dramatically decreased levels of 3-methyl-2-oxovalerate and methanol were observed both in the A1GDM group and A2GDM group. Compare to the A1GDM group, the branched-chain amino acids (BCAAs) of leucine, valine, and isoleucine were increased dramatically in the A2GDM group. The levels of aromatic amino acids (AAAs), tyrosine and phenylalanine, were significantly increased in GDM women, consistent with the severity of GDM. Interference of amino acid metabolism and disturbance in energy metabolism occurred in women with different grades of GDM. Metabolic profiles could reflect the severity of GDM. Plasma BCAA concentrations showing strong positive correlations with weight and pre-delivery BMI. This study provides a new perspective to understand the pathogenesis and etiology of GDM, which may help the clinical management and treatment of GDM.
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Affiliation(s)
- Liping Liu
- Department of Obstetrics, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Lenan Liu
- Department of Obstetrics, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Junsong Wang
- Center for Molecular Metabolism, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
| | - Qi Zheng
- Center for Molecular Metabolism, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
| | - Bai Jin
- Department of Obstetrics, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Lizhou Sun
- Department of Obstetrics, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
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Vince K, Perković P, Matijević R. What is known and what remains unresolved regarding gestational diabetes mellitus (GDM). J Perinat Med 2020; 48:757-763. [PMID: 32827397 DOI: 10.1515/jpm-2020-0254] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022]
Abstract
Gestational diabetes mellitus (GDM) has become a major public health issue and one of the most discussed topics in contemporary obstetrics. Due to rising prevalence of GDM worldwide impact and importance of this medical condition in good quality antenatal care is growing. GDM is associated with serious adverse perinatal outcomes and unfavorable long-term health consequences for both, mother and her child. Despite a great amount of knowledge accumulated regarding GDM, medical community remains indecisive and still debates the most appropriate diagnostic strategy, screening policy, and treatment options for pregnancies complicated with GDM. These unresolved issues generate controversies, motivate further research and contribute to the growing interest surrounding GDM. In this review we will discuss and try to explain some of them.
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Affiliation(s)
| | | | - Ratko Matijević
- University Hospital Merkur, Zagreb, Croatia.,Department of Obstetrics and Gynecology, School of Medicine University of Zagreb, Zagreb, Croatia
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Sun S, Costello KL. Designing Decision-Support Technologies for Patient-Generated Data in Type 1 Diabetes. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2018; 2017:1645-1654. [PMID: 29854235 PMCID: PMC5977683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
People living with type 1 diabetes generate data as a byproduct of diabetes management. The development of decision support technologies can be enabled by harnessing these patient-generated data, but a major challenge is for these technologies to provide meaningful and highly personalized guidance to support individual patients' decision-making processes. In this paper, results from a year-long qualitative study were reported. Twenty-six people with type 1 diabetes were interviewed regarding the types of self-generated data they use for decision-making, their decision-making processes using self-generated data, and the difficulties they experience when attempting to use this data for decision-making. These patients' behaviors and difficulties point to new approaches to designing decision support technologies for personal use, including patient-centered and automated data entry, automated and individualized data analysis, and humanized output.
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Affiliation(s)
- Si Sun
- IBM T.J. Watson Research Center, Yorktown Heights, NY
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Flanagan B, Lord B, Barnes M. Is unplanned out-of-hospital birth managed by paramedics 'infrequent', 'normal' and 'uncomplicated'? BMC Pregnancy Childbirth 2017; 17:436. [PMID: 29273024 PMCID: PMC5741876 DOI: 10.1186/s12884-017-1617-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 12/07/2017] [Indexed: 01/06/2023] Open
Abstract
Background Unplanned out-of-hospital birth is often perceived as precipitate in nature, ‘infrequent’, ‘normal’ and ‘uncomplicated’. However, international studies report unplanned out-of-hospital birth is associated with increased rates of maternal and neonatal morbidity and mortality. This research describes intrapartum, immediate postpartum and neonatal care provided by paramedics in Queensland, Australia. The objectives were to (1) determine the number of cases where the paramedic documented birth or imminent birth during the study period (2) to describe the incidence of births prior to or during paramedic care (3) to detail any risk factors and/or complications recorded by paramedics during these cases, (4) identify paramedic pain management practices for intrapartum care, and (5) to examine the maternal and neonatal outcomes as documented by paramedics. Method A retrospective analysis of Queensland Ambulance Service (QAS) de-identified patient care records, generated from clinical case data between the 1st of Jan 2010 and 31st of Dec 2011, was undertaken. Descriptive analysis and x2 tests were used to test associations between categorical variables, and the Wilcoxon rank-sum for associates between continuous variables which were not normally distributed. Content analysis was utilised to code free text fields. Results Six thousand one hundred thirty-five records were identified as intrapartum cases. This represented approximately 0.5% of the annual QAS caseload; 5722 were classified as maternal records and 413 were neonatal records. Paramedics recorded antenatal and/or intrapartum complications in 27.3% (n = 1563) of cases. Abnormal maternal vital signs were recorded in 30.1% (n = 1725) of cases. Of the 5722 women attended by paramedics during their labour, a birth occured in 10.8% (n = 618) of cases. Parity was documented in 41.4% (n = 256) of mothers who birthed. Neonatal records were available for 66.8% (n = 413) of actual births, 60.0% (n = 248) recorded a full set of neonatal vital signs and an Apgar score. When an Apgar score was recorded, 21.8% (n = 91) scored ≤7 out of 10. Conclusions The research described intrapartum, immediate postpartum and neonatal care provided by paramedics and identified factors that may complicate paramedic clinical management of labouring and birthing women. Further research is required to determine if there are opportunities to improve the paramedic management of such cases.
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Affiliation(s)
- Belinda Flanagan
- University of the Sunshine Coast, ML40, Locked bag 4, Maroochydore DC, Qld, 4558, Australia.
| | - Bill Lord
- University of the Sunshine Coast, ML40, Locked bag 4, Maroochydore DC, Qld, 4558, Australia
| | - Margaret Barnes
- University of the Sunshine Coast, ML40, Locked bag 4, Maroochydore DC, Qld, 4558, Australia
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Abstract
Gestational diabetes mellitus (GDM) is defined as glucose intolerance with onset during pregnancy. During pregnancy, women with GDM develop insulin resistance, which results in altered glucose tolerance. As a result, there are frequent episodes of hyperglycemia and high levels of circulating amino acids, increasing the transfer of nutrients to the fetus. This article discusses the role of the mother-baby nursing in the care of neonates born to women with gestational diabetes.
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