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Liu Z, Jia N, Zhang Q, Liu W. Risk prediction models for postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a scoping review. J Diabetes Metab Disord 2024; 23:115-124. [PMID: 38932821 PMCID: PMC11196496 DOI: 10.1007/s40200-023-01330-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 10/10/2023] [Indexed: 06/28/2024]
Abstract
Objective The objective of this scoping review was to investigate the effectiveness and limitations of risk prediction models for postpartum glucose intolerance in women with gestational diabetes mellitus (GDM). The aim was to provide valuable insights for healthcare professionals in the development of robust risk prediction models. Methods A comprehensive literature search was conducted across multiple databases, including PubMed, EBSCO, Web of Science Core Collection, Ovid Full-Text Medical Journal Database, ProQuest, Elsevier ClinicalKey, China National Knowledge Infrastructure, China Biology Medicine, and WanFang Database, spanning from January 1990 to July 2023. To assess the quality of the included models, the Predictive Model Risk of Bias Assessment Tool (PROBAST) was employed. Results Fourteen relevant studies were identified and included in the final review, all focusing on model development. The discrimination ability of the included models ranged from 0.725 to 0.940, indicating satisfactory prediction accuracy. However, a notable limitation was that nine of these models (64.3%) did not provide clear guidelines on the selection of potential predictors. Furthermore, only six models (42.86%) underwent internal validation, with none undergoing external validation. A high risk of bias was observed across the included models. Logistic regression, Cox regression, and machine learning were the primary methods employed in the construction of these models. Conclusion The risk prediction models included in this review demonstrated favorable prediction accuracy. However, due to variations in construction methodologies, direct comparison of their performance is challenging. These models exhibited certain shortcomings, such as inadequate handling of missing data and a lack of internal and external validation, resulting in a high risk of bias. Therefore, it is recommended that these models be updated and externally validated. The development of prospective, multi-center studies is encouraged to construct predictive models with low risk of bias and high clinical applicability, ultimately guiding evidence-based clinical practice. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-023-01330-1.
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Affiliation(s)
- Zhe Liu
- School of Nursing, Capital Medical University, No. 10, Xi tou tiao, You An Men Wai, Feng tai District, Beijing, 100069 China
| | - Nan Jia
- School of Nursing, Capital Medical University, No. 10, Xi tou tiao, You An Men Wai, Feng tai District, Beijing, 100069 China
| | - Qianghuizi Zhang
- School of Nursing, Capital Medical University, No. 10, Xi tou tiao, You An Men Wai, Feng tai District, Beijing, 100069 China
| | - Weiwei Liu
- School of Nursing, Capital Medical University, No. 10, Xi tou tiao, You An Men Wai, Feng tai District, Beijing, 100069 China
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Semnani-Azad Z, Gaillard R, Hughes AE, Boyle KE, Tobias DK, Perng W. Precision stratification of prognostic risk factors associated with outcomes in gestational diabetes mellitus: a systematic review. COMMUNICATIONS MEDICINE 2024; 4:9. [PMID: 38216688 PMCID: PMC10786838 DOI: 10.1038/s43856-023-00427-1] [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: 05/10/2023] [Accepted: 12/12/2023] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND The objective of this systematic review is to identify prognostic factors among women and their offspring affected by gestational diabetes mellitus (GDM), focusing on endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) for women, and cardiometabolic profile for offspring. METHODS This review included studies published in English language from January 1st, 1990, through September 30th, 2021, that focused on the above outcomes of interest with respect to sociodemographic factors, lifestyle and behavioral characteristics, traditional clinical traits, and 'omics biomarkers in the mothers and offspring during the perinatal/postpartum periods and across the lifecourse. Studies that did not report associations of prognostic factors with outcomes of interest among GDM-exposed women or children were excluded. RESULTS Here, we identified 109 publications comprising 98 observational studies and 11 randomized-controlled trials. Findings indicate that GDM severity, maternal obesity, race/ethnicity, and unhealthy diet and physical activity levels predict T2D and CVD in women, and greater cardiometabolic risk in offspring. However, using the Diabetes Canada 2018 Clinical Practice Guidelines for studies, the level of evidence was low due to potential for confounding, reverse causation, and selection biases. CONCLUSIONS GDM pregnancies with greater severity, as well as those accompanied by maternal obesity, unhealthy diet, and low physical activity, as well as cases that occur among women who identify as racial/ethnic minorities are associated with worse cardiometabolic prognosis in mothers and offspring. However, given the low quality of evidence, prospective studies with detailed covariate data collection and high fidelity of follow-up are warranted.
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Affiliation(s)
- Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Romy Gaillard
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Alice E Hughes
- Faculty of Health and Life Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristen E Boyle
- Department of Pediatrics and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wei Perng
- Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Martemucci G, Fracchiolla G, Muraglia M, Tardugno R, Dibenedetto RS, D’Alessandro AG. Metabolic Syndrome: A Narrative Review from the Oxidative Stress to the Management of Related Diseases. Antioxidants (Basel) 2023; 12:2091. [PMID: 38136211 PMCID: PMC10740837 DOI: 10.3390/antiox12122091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
Metabolic syndrome (MS) is a growing disorder affecting thousands of people worldwide, especially in industrialised countries, increasing mortality. Oxidative stress, hyperglycaemia, insulin resistance, inflammation, dysbiosis, abdominal obesity, atherogenic dyslipidaemia and hypertension are important factors linked to MS clusters of different pathologies, such as diabesity, cardiovascular diseases and neurological disorders. All biochemical changes observed in MS, such as dysregulation in the glucose and lipid metabolism, immune response, endothelial cell function and intestinal microbiota, promote pathological bridges between metabolic syndrome, diabesity and cardiovascular and neurodegenerative disorders. This review aims to summarise metabolic syndrome's involvement in diabesity and highlight the link between MS and cardiovascular and neurological diseases. A better understanding of MS could promote a novel strategic approach to reduce MS comorbidities.
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Affiliation(s)
- Giovanni Martemucci
- Department of Agricultural and Environmental Sciences, University of Bari Aldo Moro, 70126 Bari, Italy;
| | - Giuseppe Fracchiolla
- Department of Pharmacy–Drug Sciences, University of Bari Aldo Moro, 70126 Bari, Italy; (M.M.); (R.T.); (R.S.D.)
| | - Marilena Muraglia
- Department of Pharmacy–Drug Sciences, University of Bari Aldo Moro, 70126 Bari, Italy; (M.M.); (R.T.); (R.S.D.)
| | - Roberta Tardugno
- Department of Pharmacy–Drug Sciences, University of Bari Aldo Moro, 70126 Bari, Italy; (M.M.); (R.T.); (R.S.D.)
| | - Roberta Savina Dibenedetto
- Department of Pharmacy–Drug Sciences, University of Bari Aldo Moro, 70126 Bari, Italy; (M.M.); (R.T.); (R.S.D.)
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Liu Z, Zhang Q, Liu L, Liu W. Risk factors associated with early postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a systematic review and meta-analysis. Endocrine 2023; 82:498-512. [PMID: 37587390 DOI: 10.1007/s12020-023-03472-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/25/2023] [Indexed: 08/18/2023]
Abstract
PURPOSE This meta-analysis was aimed at exploring the incidence and risk factors of glucose intolerance in women with gestational diabetes mellitus (GDM) at 6-12 weeks postpartum to inform the development of preventive strategies. METHOD We searched Pubmed, Embase, Web of Science, the Cochrane Library, Ovid, China Knowledge Resource Integrated Database (CNKI), Wanfang Database and China Biology Medicine Database for entries between January 1990 and September 2022. The search terms included gestational diabetes mellitus, postpartum, glucose intolerance and type 2 diabetes. The meta-analysis was conducted using Stata 14.0. RESULT We included 37 studies, with 21 and 16 having low and medium risk of bias, respectively. The incidence of glucose intolerance in women with GDM 6-12 weeks postpartum was 27% (95% CI: 0.22-0.33). The following risk factors for GDM 6-12 weeks postpartum were identified: insulin use during pregnancy (OR = 3.23; 95% CI: 2.35-4.44), family history of diabetes (OR = 2.94; 95% CI: 1.98-4.33), abnormal fasting glucose levels at 24-28 weeks of gestation (OR = 1.15; 95% CI: 1.07-1.25), high pre-pregnancy BMI (OR = 1.63; 95% CI: 1.23-2.15), abnormal triglyceride levels during 28-40 weeks of gestation (OR = 2.18; 95% CI: 1.18-4.03), abnormal HbA1c levels at 28-40 weeks of gestation (OR = 6.62; 95% CI: 4.71-9.30), history of previous GDM (OR = 2.11; 95% CI: 1.27-3.49), and high 1-h glucose levels at 24-28 weeks of gestation (OR = 1.16; 95% CI:1.06-1.28). CONCLUSION The incidence of glucose intolerance in GDM patients at 6-12 weeks postpartum was high. To prevent early postpartum glucose intolerance, healthcare providers should develop individualized interventions for GDM patients, depending on existing risk factors.
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Affiliation(s)
- Zhe Liu
- School of Nursing, Capital Medical University, Beijing, China
| | | | - Leyang Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Weiwei Liu
- School of Nursing, Capital Medical University, Beijing, China.
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Quansah DY, Horsch A, Gilbert L, Donath MY, Puder JJ. C-reactive protein during pregnancy and in the early postpartum predicts adverse metabolic health outcomes at 1 year postpartum in women with gestational diabetes. Cardiovasc Diabetol 2023; 22:291. [PMID: 37891561 PMCID: PMC10612338 DOI: 10.1186/s12933-023-02034-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Women with gestational diabetes mellitus (GDM) have higher insulin resistance and/or reduced secretion, an increased risk of future diabetes and cardiovascular disease, which may be due to a pathological activation of the innate immune system. C-reactive protein (CRP) is induced by inflammatory cytokines and reflects innate immune activity. We investigated the prospective associations between CRP during the perinatal period with adverse metabolic outcomes at 1 year postpartum in women with previous GDM. METHODS We analyzed data from the MySweetheart trial that included 211 women with GDM at 28-32 weeks gestational age (GA). CRP was measured during pregnancy at 28-32 weeks GA, at 6-8 weeks and at 1 year postpartum. Metabolic outcomes at 1 year postpartum included weight, total and central body fat, measures of insulin resistance and secretion and presence of the metabolic syndrome (MetS). A 75 g oral glucose tolerance test was performed to measure glucose and insulin values every 30 min over 2 h to calculate indices of insulin resistance (MATSUDA, HOMA-IR) and of absolute (AUCins/glu, HOMA-B) and insulin resistance-adjusted insulin secretion (ISSI-2). RESULTS CRP during pregnancy and at 6-8 weeks postpartum predicted increased weight, body fat and visceral adipose tissue (VAT), insulin resistance (higher HOMA-IR, lower MATSUDA), absolute insulin secretion (HOMA-B, AUCins/glu), a reduced adjusted insulin secretion (ISSI-2) and a higher prevalence of the MetS at 1 year postpartum (all p ≤ 0.036). These relationships particularly those concerning CRP during pregnancy, were independent of weight ( for VAT, insulin resistance and secretion indices, MetS; all p ≤ 0.032) and of body fat ( for VAT, MATSUDA, MetS; all p ≤ 0.038). CONCLUSION: CRP during pregnancy and in the early postpartum predicted an adverse cardio-metabolic profile in women with prior GDM at 1 year postpartum independent of weight. The prospective association of CRP with increased insulin resistance and reduced adjusted insulin secretion hint to the role of inflammation in the development of impaired metabolism after GDM and could be used as an early marker for risk stratification.
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Affiliation(s)
- Dan Yedu Quansah
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland.
| | - Antje Horsch
- Institute of Higher Education and Research in Healthcare (IUFRS), University of Lausanne, Lausanne, Switzerland
- Neonatalogy Service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - Leah Gilbert
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland
| | - Marc Y Donath
- Endocrinology, Diabetes and Metabolism, University Hospital Basel, and Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Jardena J Puder
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland
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Semnani-Azad Z, Gaillard R, Hughes AE, Boyle KE, Tobias DK, Perng W. Predictors and risk factors of short-term and long-term outcomes among women with gestational diabetes mellitus (GDM) and their offspring: Moving toward precision prognosis? MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.14.23288199. [PMID: 37131686 PMCID: PMC10153333 DOI: 10.1101/2023.04.14.23288199] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
As part of the American Diabetes Association Precision Medicine in Diabetes Initiative (PMDI) - a partnership with the European Association for the Study of Diabetes (EASD) - this systematic review is part of a comprehensive evidence evaluation in support of the 2 nd International Consensus Report on Precision Diabetes Medicine. Here, we sought to synthesize evidence from empirical research papers published through September 1 st , 2021 to evaluate and identify prognostic conditions, risk factors, and biomarkers among women and children affected by gestational diabetes mellitus (GDM), focusing on clinical endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) among women with a history of GDM; and adiposity and cardiometabolic profile among offspring exposed to GDM in utero. We identified a total of 107 observational studies and 12 randomized controlled trials testing the effect of pharmaceutical and/or lifestyle interventions. Broadly, current literature indicates that greater GDM severity, higher maternal body mass index, belonging to racial/ethnic minority group; and unhealthy lifestyle behaviors would predict a woman's risk of incident T2D and CVD, and an unfavorable cardiometabolic profile among offspring. However, the level of evidence is low (Level 4 according to the Diabetes Canada 2018 Clinical Practice Guidelines for diabetes prognosis) largely because most studies leveraged retrospective data from large registries that are vulnerable to residual confounding and reverse causation bias; and prospective cohort studies that may suffer selection and attrition bias. Moreover, for the offspring outcomes, we identified a relatively small body of literature on prognostic factors indicative of future adiposity and cardiometabolic risk. Future high-quality prospective cohort studies in diverse populations with granular data collection on prognostic factors, clinical and subclinical outcomes, high fidelity of follow-up, and appropriate analytical approaches to deal with structural biases are warranted.
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Biomarkers of oxidative stress and reproductive complications. Adv Clin Chem 2023; 113:157-233. [PMID: 36858646 DOI: 10.1016/bs.acc.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Oxidative stress is the result of an imbalance between the formation of reactive oxygen species (ROS) and the levels of enzymatic and non-enzymatic antioxidants. The assessment of biological redox status is performed by the use of oxidative stress biomarkers. An oxidative stress biomarker is defined as any physical structure or process or chemical compound that can be assessed in a living being (in vivo) or in solid or fluid parts thereof (in vitro), the determination of which is a reproducible and reliable indicator of oxidative stress. The use of oxidative stress biomarkers allows early identification of the risk of developing diseases associated with this process and also opens up possibilities for new treatments. At the end of the last century, interest in oxidative stress biomarkers began to grow, due to evidence of the association between the generation of free radicals and various pathologies. Up to now, a significant number of studies have been carried out to identify and apply different oxidative stress biomarkers in clinical practice. Among the most important oxidative stress biomarkers, it can be mentioned the products of oxidative modifications of lipids, proteins, nucleic acids, and uric acid as well as the measurement of the total antioxidant capacity of fluids in the human body. In this review, we aim to present recent advances and current knowledge on the main biomarkers of oxidative stress, including the discovery of new biomarkers, with emphasis on the various reproductive complications associated with variations in oxidative stress levels.
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García-Moreno RM, Benítez-Valderrama P, Barquiel B, Hillman N, Herranz L, Pérez-de-Villar NG. Predictors of postpartum glucose metabolism disorders in women with gestational diabetes mellitus. Diabetes Metab Syndr 2022; 16:102629. [PMID: 36191536 DOI: 10.1016/j.dsx.2022.102629] [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: 03/04/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND AND AIMS Postpartum glucose metabolism disorders are a common problem in women with gestational diabetes mellitus (GDM). They are often underdiagnosed since many patients do not attend the postpartum screening. This study aims to assess predictors of postpartum glucose metabolism disorders and type 2 diabetes mellitus (T2DM) after GDM. MATERIAL AND METHODS Retrospective study in women with GMD who underwent postpartum screening for glucose metabolism disorders (n = 2688). Logistic regression was used in the statistical analysis. RESULTS 24.6% of women had postpartum glucose metabolism disorder. In multivariate analysis, pre-pregnancy body mass index (BMI) 25-30 kg/m2 (OR 1.46, 95%CI 1.05 to 2.02) or BMI ≥30 kg/m2 (OR 2.62, 95%CI 1.72 to 3.96), diagnosis of GDM before 20 weeks of pregnancy (OR 2.33, 95%CI 1.57 to 3.46), fasting plasma glucose after diagnosis of GDM ≥90 mg/dl (OR 2.12, 95%CI 1.50 to 2.98), postprandial glucose ≥100 mg/dl (OR 1.47, 95%CI 1.09 to 2.99), and HbA1c in the third trimester of pregnancy ≥5.3% (2.04, 95%CI, 1.52 to 2.75) were independent predictors for any postpartum glucose metabolism disorder. CONCLUSION postpartum screening for T2DM should be performed in all women with GDM, and it is especially important not to lose follow-up in those with one or more predictive factors.
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Affiliation(s)
- Rosa M García-Moreno
- Department of Endocrinology and Nutrition, Hospital Universitario La Paz, Madrid, Spain.
| | | | - Beatriz Barquiel
- Department of Endocrinology and Nutrition, Hospital Universitario La Paz, Madrid, Spain
| | - Natalia Hillman
- Department of Endocrinology and Nutrition, Hospital Universitario La Paz, Madrid, Spain
| | - Lucrecia Herranz
- Department of Endocrinology and Nutrition, Hospital Universitario La Paz, Madrid, Spain
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Shigeno R, Horie I, Miwa M, Ito A, Haraguchi A, Natsuda S, Akazawa S, Nagata A, Hasegawa Y, Miura S, Miura K, Kawakami A, Abiru N. Bihormonal dysregulation of insulin and glucagon contributes to glucose intolerance development at one year post-delivery in women with gestational diabetes: a prospective cohort study using an early postpartum 75-g glucose tolerance test. Endocr J 2021; 68:919-931. [PMID: 33827994 DOI: 10.1507/endocrj.ej20-0795] [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] [Indexed: 11/23/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is known to be a significant risk factor for the future development of type 2 diabetes. Here, we investigated whether a precise evaluation of β- and α-cell functions helps to identify women at high risk of developing glucose intolerance after GDM. Fifty-six women with GDM underwent a 75-g oral glucose tolerance test (OGTT) at early (6-12 weeks) postpartum. We measured their concentrations of glucose, insulin, proinsulin and glucagon at fasting and 30, 60 and 120 min. At 1-year post-delivery, we classified the women into a normal glucose tolerance (NGT) group or an impaired glucose tolerance (IGT)/diabetes mellitus (DM) group. Forty-three of the 56 women completed the study. At 1-year post-delivery, 17 women had developed IGT/DM and 26 women showed NGT. In the early-postpartum OGTTs, the IGT/DM group showed a lower insulinogenic index, a less glucagon suppression evaluated by the change from fasting to 30 min (ΔGlucagon 30 min), and a higher glucagon-to-insulin ratio at 30 min compared to the NGT group. There were no significant between-group differences in proinsulin levels or proinsulin-to-insulin ratios. Insulinogenic index <0.6 and ΔGlucagon 30 min >0 pg/mL were identified as predictors for the development of IGT/DM after GDM, independent of age, body mass index, and lactation intensity. These results suggest that the bihormonal disorder of insulin and glucagon causes the postpartum development of glucose intolerance. The measurement of plasma insulin and glucagon during the initial OGTT at early postpartum period can help to make optimal decisions regarding the postpartum management of women with GDM.
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Affiliation(s)
- Riyoko Shigeno
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Ichiro Horie
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Masaki Miwa
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Ayako Ito
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Ai Haraguchi
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Shoko Natsuda
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Satoru Akazawa
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Ai Nagata
- Department of Obstetrics and Gynecology, Nagasaki University Hospital, Nagasaki 852-8501, Japan
| | - Yuri Hasegawa
- Department of Obstetrics and Gynecology, Nagasaki University Hospital, Nagasaki 852-8501, Japan
| | - Shoko Miura
- Department of Obstetrics and Gynecology, Nagasaki University Hospital, Nagasaki 852-8501, Japan
| | - Kiyonori Miura
- Department of Obstetrics and Gynecology, Nagasaki University Hospital, Nagasaki 852-8501, Japan
| | - Atsushi Kawakami
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Norio Abiru
- Department of Endocrinology and Metabolism, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
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Kawasaki M, Mito A, Waguri M, Sato Y, Abe E, Shimada M, Fukuda S, Sasaki Y, Fujikawa K, Sugiyama T, Ota E, Nakazawa J, Okoshi T, Takimoto H, Honda Y, Inoue E, Hiramatsu Y, Arata N. Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom). BMC Pregnancy Childbirth 2021; 21:582. [PMID: 34425784 PMCID: PMC8381573 DOI: 10.1186/s12884-021-03998-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 07/12/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obese pregnant women are known to experience poorer pregnancy outcomes and are at higher risk of postnatal arteriosclerosis. Hence, weight control during and after pregnancy is important for reducing these risks. The objective of our planned randomized controlled trial is to evaluate whether the rate of change in body weight in obese women before pregnancy to 12 months postpartum would be lower with the use of an intervention consisting of Internet of Things (IoT) devices and mobile applications during pregnancy to 1 year postpartum compared to a non-intervention group. METHODS Women will be recruited during outpatient maternity checkups at four perinatal care institutions in Japan. We will recruit women at less than 30 weeks of gestation with a pre-pregnancy body mass index ≥ 25 kg/m2. The women will be randomly assigned to an intervention or non-intervention group. The intervention will involve using data (weight, body composition, activity, sleep) measured with IoT devices (weight and body composition monitor, activity, and sleep tracker), meal records, and photographs acquired using a mobile application to automatically generate advice, alongside the use of a mobile application to provide articles and videos related to obesity and pregnancy. The primary outcome will be the ratio of change in body weight (%) from pre-pregnancy to 12 months postpartum compared to before pregnancy. DISCUSSION This study will examine whether behavioral changes occurring during pregnancy, a period that provides a good opportunity to reexamine one's habits, lead to lifestyle improvements during the busy postpartum period. We aim to determine whether a lifestyle intervention that is initiated during pregnancy can suppress weight gain during pregnancy and encourage weight loss after delivery. TRIAL REGISTRATION UMIN: UMIN (University hospital Medical Information Network) 000,041,460. Resisted on 18th August 2020. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047278.
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Affiliation(s)
- Maki Kawasaki
- Department of Health Policy, National Center for Child Health and Development, 2-10-1, OkuraTokyo, Setagaya, 157-8535, Japan.,Division of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and Development, 2-10-1, OkuraTokyo, Setagaya, 157-8535, Japan
| | - Asako Mito
- Division of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and Development, 2-10-1, OkuraTokyo, Setagaya, 157-8535, Japan
| | - Masako Waguri
- Department of Obstetric Medicine, Osaka Women's and Children's Hospital, Murodo-cho, Izumi, Osaka, 840594-1101, Japan
| | - Yuichi Sato
- Obstetrics & Gynecology, TATE DEBARI Sato Hospital, 96, Wakamatsu-cho, Takasaki, Gunma, 370-0836, Japan
| | - Emiko Abe
- Department of Obstetrics and Gynecology, Ehime Prefectural Central Hospital, 83, Matusyama City, Ehime, Kasuga-cho, 790-0024, Japan
| | - Mayumi Shimada
- Department of Obstetric Medicine, Osaka Women's and Children's Hospital, Murodo-cho, Izumi, Osaka, 840594-1101, Japan
| | - Sayuri Fukuda
- Obstetrics & Gynecology, TATE DEBARI Sato Hospital, 96, Wakamatsu-cho, Takasaki, Gunma, 370-0836, Japan
| | - Yuki Sasaki
- Link and Communication Inc, 4-1, Kioi-cho, Chiyoda, Tokyo, 102-0094, Japan
| | - Kei Fujikawa
- Department of Obstetric Medicine, Osaka Women's and Children's Hospital, Murodo-cho, Izumi, Osaka, 840594-1101, Japan
| | - Takashi Sugiyama
- Department of Obsterics and Gynecology, Ehime Uiversity Graduate School of Medicine, Touon City, Ehime, Sitsukawa, 454791-0295, Japan
| | - Erika Ota
- Global Health Nursing, Graduate School of Nursing Sciences, St. Lukes International University, 10-1, Akashi-cho, Tyuuou, Tokyo, 1104-0044, Japan
| | - Jin Nakazawa
- Faculty of Environment and Information Studies, Keio University, Fujisawa City, Kanagawa, Endo, 5322252-0882, Japan
| | - Tadashi Okoshi
- Graduate School of Media and Governance, Fujisawa City, Kanagawa, Endo, 5322252-0882, Japan
| | - Hidemi Takimoto
- National Institute of Health and Nutrition, 23-1, Toyama, Shinjuku, Tokyo, 162-8636, Japan
| | - Yuka Honda
- Division of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and Development, 2-10-1, OkuraTokyo, Setagaya, 157-8535, Japan
| | - Eisuke Inoue
- Showa University Research Administration Center, Showa University, 1-5-8, Hatanodai, ShinagawaTokyo, 142-8555, Japan
| | - Yuji Hiramatsu
- Okayama City General Medical Center, 3-20-1, KitanagaseomotemachiOkayama City, Okayama, 700-8557, Japan
| | - Naoko Arata
- Division of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and Development, 2-10-1, OkuraTokyo, Setagaya, 157-8535, Japan.
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11
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Quansah DY, Gross J, Mbundu-Ilunga R, Puder JJ. The utility of diagnostic tests in the detection and prediction of glucose intolerance in the early and late postpartum period in women after gestational diabetes: a longitudinal cohort study. Diabetol Metab Syndr 2021; 13:31. [PMID: 33731202 PMCID: PMC7966915 DOI: 10.1186/s13098-021-00650-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 03/04/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Due to diverging international recommendations, the unclear role of HbA1c and the lack of longitudinal data, we investigated the accuracy of diagnostic tests in the early and late postpartum in women with gestational diabetes (GDM) especially to predict future glucose-intolerance. METHODS This longitudinal cohort included 967 women with GDM from 2011 to 2020. A 75-g oGTT and HbA1c were performed at 4-12 weeks (early) postpartum. FPG and HbA1c were measured at 1 and 3-year (late) postpartum. ADA criteria were used as gold standards. At all time-points (4-12 weeks, 1-year and 3-year postpartum) women with diabetes and prediabetes were grouped together and referred to as glucose-intolerant, because at most 3% of the entire cohort population had diabetes at any time-point. RESULTS The prevalence of glucose-intolerance in the early postpartum was higher using FPG and HbA1c (27.5%) than oGTT criteria (18.2%). Only 48-80% of women diagnosed with glucose-intolerance in the early postpartum actually remained intolerant. This was especially low when FPG or oGTT were combined with HbA1c (1-year: ≤ 62% and 3-years: ≤ 50%). Regardless of the test used, 1/3 of women with initially normal glucose-tolerance became glucose-intolerant in the late postpartum. HbA1c was unrelated to iron status/intake, remained stable throughout, but poorly predicted future glucose-intolerance. In the longitudinal analyses, all diagnostic tests in the early postpartum showed acceptable specificities (74-96%) but poor sensitivities (all < 38%) to predict glucose-intolerance after only 10-months. At 1-year postpartum however, the combination of FPG and HbA1c could best predict glucose-intolerance 2-years later. CONCLUSIONS Combining FPG with HbA1c at 1-year postpartum represents a reliable choice to predict future glucose-intolerance. Given the poor prediction of tests including oGTT in the early postpartum, focus should rather be on continuous long-term screening.
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Affiliation(s)
- Dan Yedu Quansah
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne Switzerland Avenue de la Sallaz, CH-1011 Lausanne, Switzerland
| | - Justine Gross
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne Switzerland Avenue de la Sallaz, CH-1011 Lausanne, Switzerland
- Service of Endocrinology, Diabetes and Metabolism, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Richard Mbundu-Ilunga
- Service of Endocrinology, Diabetes and Metabolism, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Jardena J. Puder
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne Switzerland Avenue de la Sallaz, CH-1011 Lausanne, Switzerland
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12
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Mitochondrial dysfunction in the fetoplacental unit in gestational diabetes mellitus. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165948. [PMID: 32866635 DOI: 10.1016/j.bbadis.2020.165948] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 08/17/2020] [Accepted: 08/20/2020] [Indexed: 12/12/2022]
Abstract
Gestational diabetes mellitus (GDM) is a disease of pregnancy that is associated with d-glucose intolerance and foeto-placental vascular dysfunction. GMD causes mitochondrial dysfunction in the placental endothelium and trophoblast. Additionally, GDM is associated with reduced placental oxidative phosphorylation due to diminished activity of the mitochondrial F0F1-ATP synthase (complex V). This phenomenon may result from a higher generation of reactive superoxide anion and nitric oxide. Placental mitochondrial biogenesis and mitophagy work in concert to maintain cell homeostasis and are vital mechanisms securing the efficient generation of ATP, whose demand is higher in pregnancy, ensuring foetal growth and development. Additional factors disturbing placental ATP synthase activity in GDM include pre-gestational maternal obesity or overweight, intracellular pH, miRNAs, fatty acid oxidation, and foetal (and 'placental') sex. GDM is also associated with maternal and foetal hyperinsulinaemia, altered circulating levels of adiponectin and leptin, and the accumulation of extracellular adenosine. Here, we reviewed the potential interplay between these molecules or metabolic conditions on the mechanisms of mitochondrial dysfunction in the foeto-placental unit in GDM pregnancies.
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