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Oros Ruiz M, Perejón López D, Serna Arnaiz C, Siscart Viladegut J, Àngel Baldó J, Sol J. Maternal and foetal complications of pregestational and gestational diabetes: a descriptive, retrospective cohort study. Sci Rep 2024; 14:9017. [PMID: 38641705 PMCID: PMC11031602 DOI: 10.1038/s41598-024-59465-x] [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: 12/11/2023] [Accepted: 04/11/2024] [Indexed: 04/21/2024] Open
Abstract
Gestational diabetes is characterized by hyperglycaemia diagnosed during pregnancy. Gestational and pregestational diabetes can have deleterious effects during pregnancy and perinatally. The baby's weight is frequently above average and might reach macrosomia (≥ 4 kg), which can reduce pregnancy time causing preterm births, and increase foetal-pelvic disproportion which often requires delivery by caesarean section. Foetal-pelvic disproportion due to the baby's weight can also cause foetal distress resulting in lower Apgar scores. To analyse the association between pregestational and gestational diabetes with maternal and foetal risk. We conducted a retrospective cohort study in women pregnant between 2012 and 2018 in the region of Lleida. Regression coefficients and 95% confidence intervals (CI) were used. The multivariate analysis showed statistically significant associations between pregestational diabetes and: prematurity (OR 2.4); caesarean section (OR 1.4); moderate (OR 1.3), high (OR 3.3) and very high (OR 1.7) risk pregnancies; and birth weight ≥ 4000 g (macrosomia) (OR 1.7). In getational diabetes the multivariate analysis show significant association with: caesarean section (OR 1.5); moderate (OR 1.7), high (OR 1.7) and very high (OR 1.8) risk pregnancies and lower 1-minuto Apgar score (OR 1.5). Pregestational and gestational diabetes increase: pregnancy risk, caesarean sections, prematurity, low Apgar scores, and macrosomia.
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Alshomrany A, Miskeen E, Alfaifi J, Alshamrani H, Alshahrani A. Maternal Diabetes Mellitus and Neonatal Outcomes in Bisha: A Retrospective Cohort Study. Med Sci (Basel) 2024; 12:21. [PMID: 38651415 PMCID: PMC11036221 DOI: 10.3390/medsci12020021] [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: 02/23/2024] [Revised: 04/06/2024] [Accepted: 04/12/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Maternal diabetes mellitus (MDM) is associated with increased risks for adverse neonatal outcomes. However, the impact of MDM on neonatal outcomes in Bisha, a city in Saudi Arabia, is not well documented. This study aims to investigate the impact of MDM on neonatal outcomes in the Maternity and Children's Hospital (MCH), Bisha, Saudi Arabia. METHODS A retrospective cohort study was conducted on 181 pregnant women with diabetes and their neonates who were diagnosed at the Maternity and Children's Hospital (MCH), Bisha, Saudi Arabia, between 5 October 2020 and 5 November 2022. The primary outcome was a composite of adverse neonatal outcomes, including stillbirth, neonatal death, macrosomia, preterm birth, respiratory distress syndrome, hypoglycemia, and congenital anomalies. Logistic regression analyses were used to adjust for potential confounders. RESULTS The total sample size was 181. The average age of patients was 34 years (SD = 6.45). The majority of the patients were diagnosed with GDM, 147 (81.2%), and pre-GDM, 34 (18.8%). Neonates born to mothers with MDM had a higher risk of adverse neonatal outcomes compared to those born to mothers without MDM (adjusted odds ratio [aOR] = 1.46, 95% confidence interval [CI]: 1.25-1.70). The risks of macrosomia (aOR = 1.74, 95% CI: 1.38-2.19), LBW (aOR = 1.32, 95% CI: 1.06-1.66), and RDS (aOR = 1.57, 95% CI: 1.28-1.93) were significantly higher among neonates born to mothers with MDM. The types of DM were statistically significant in terms of their correlation with the following neonatal outcomes: hypoglycemia (p-value = 0.017), macrosomia (p-value = 0.050), and neonatal death (p-value = 0.017). CONCLUSIONS MDM is associated with an increased risk of adverse neonatal outcomes in Bisha. The early identification and management of MDM may improve neonatal outcomes and reduce the burden of neonatal morbidity and mortality in this population.
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Affiliation(s)
- Abdullah Alshomrany
- College of Medicine, University of Bisha, Bisha 67714, Saudi Arabia; (H.A.); (A.A.)
| | - Elhadi Miskeen
- Department of Obstetrics and Gynaecology, College of Medicine, University of Bisha, Bisha 67714, Saudi Arabia;
| | - Jaber Alfaifi
- Department of Pediatrics and Child Health, College of Medicine, University of Bisha, Bisha 67714, Saudi Arabia;
| | - Hassan Alshamrani
- College of Medicine, University of Bisha, Bisha 67714, Saudi Arabia; (H.A.); (A.A.)
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Nazeer SA, Chen HY, Chauhan SP, Blackwell SC, Sibai B, Fishel Bartal M. Gestational diabetes mellitus and late preterm birth: outcomes with and without antenatal corticosteroid exposure. Am J Obstet Gynecol MFM 2024; 6:101268. [PMID: 38242498 DOI: 10.1016/j.ajogmf.2023.101268] [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: 09/27/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND Unlike pregestational diabetes mellitus, the American College of Obstetricians and Gynecologists recommends antenatal corticosteroids in those with gestational diabetes mellitus at risk for preterm birth. However, this recommendation is based on limited data, only 10.6% of the Antenatal Late Preterm Steroids study sample had gestational diabetes mellitus. There is a paucity of data on the risk of neonatal respiratory and other morbidity in this population. OBJECTIVE This study aimed to examine respiratory outcomes in parturients with gestational diabetes mellitus who received antenatal corticosteroids and delivered during the late preterm period vs those who did not. STUDY DESIGN This population-based cohort study used the US Vital Statistics dataset between 2016 to 2020. The inclusion criteria were singleton, nonanomalous individuals who delivered between 34.0 to 36.6 weeks with gestational diabetes mellitus and known status of antepartum corticosteroid exposure. The primary outcome, a composite neonatal adverse outcome, included Apgar score <5 at 5 minutes, immediate assisted ventilation, assisted ventilation >6 hours, surfactant use, seizure, or neonatal mortality. The secondary outcome was a composite maternal adverse outcome, including maternal blood transfusion, ruptured uterus, unplanned hysterectomy, and admission to the intensive care unit. Multivariable Poisson regression models were used to estimate adjusted relative risks and 95% confidence intervals. Average annual percent change was calculated to assess changes in rates of corticosteroid exposure over the study period. RESULTS Of 19 million births during the study period, 110,197 (0.6%) met the inclusion criteria, and among them, 23,028 (20.9%) individuals with gestational diabetes mellitus received antenatal corticosteroids. The rate of antenatal steroid exposure remained stable over the 5 years (APC=10.7; 95% confidence interval, -5.4 to 29.4). The composite neonatal adverse outcome was significantly higher among those who received corticosteroids than among those who did not (137.1 vs 216.5 per 1000 live births; adjusted relative risk 1.24; 95% confidence interval, 1.20-1.28). Three components of the composite neonatal adverse outcome-immediate assisted ventilation, intubation >6 hours, and surfactant use-were significantly higher with exposure than without. In addition, the composite maternal adverse outcome was significantly higher among those who received corticosteroids (adjusted relative risk, 1.34; 95% confidence interval, 1.18-1.52). Three components of the composite maternal adverse outcome-admission to intensive care unit, blood transfusion, and unplanned hysterectomy-were significantly higher among the exposed group. Subgroup analysis, among large for gestational age, by gestational age, and race and ethnicity, confirm the trend of increased likelihood of adverse outcomes with exposure to corticosteroid. CONCLUSION Individuals with gestational diabetes mellitus and antenatal corticosteroid exposure, who delivered in the late preterm, were at higher risk of neonatal and maternal adverse outcomes than those unexposed to corticosteroid.
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Affiliation(s)
- Sarah A Nazeer
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX (Drs Nazeer, Chen, Chauhan, Blackwell, Sibai, and Fishel Bartal).
| | - Han-Yang Chen
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX (Drs Nazeer, Chen, Chauhan, Blackwell, Sibai, and Fishel Bartal)
| | - Suneet P Chauhan
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX (Drs Nazeer, Chen, Chauhan, Blackwell, Sibai, and Fishel Bartal)
| | - Sean C Blackwell
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX (Drs Nazeer, Chen, Chauhan, Blackwell, Sibai, and Fishel Bartal)
| | - Baha Sibai
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX (Drs Nazeer, Chen, Chauhan, Blackwell, Sibai, and Fishel Bartal)
| | - Michal Fishel Bartal
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX (Drs Nazeer, Chen, Chauhan, Blackwell, Sibai, and Fishel Bartal); Department of Obstetrics and Gynecology, Sheba Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel (Dr Fishel Bartal)
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Johnson RK, Ireton AJ, Carry PM, Vanderlinden LA, Dong F, Romero A, Johnson DR, Ghosh D, Yang F, Frohnert B, Yang IV, Kechris K, Rewers M, Norris JM. DNA Methylation Near DLGAP2 May Mediate the Relationship between Family History of Type 1 Diabetes and Type 1 Diabetes Risk. Pediatr Diabetes 2023; 2023:5367637. [PMID: 38765731 PMCID: PMC11100224 DOI: 10.1155/2023/5367637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Abstract
Given the differential risk of type 1 diabetes (T1D) in offspring of affected fathers versus affected mothers and our observation that T1D cases have differential DNA methylation near the imprinted DLGAP2 gene compared to controls, we examined whether methylation near DLGAP2 mediates the association between T1D family history and T1D risk. In a nested case-control study of 87 T1D cases and 87 controls from the Diabetes Autoimmunity Study in the Young, we conducted causal mediation analyses at 12 DLGAP2 region CpGs to decompose the effect of family history on T1D risk into indirect and direct effects. These effects were estimated from two regression models adjusted for the human leukocyte antigen DR3/4 genotype: a linear regression of family history on methylation (mediator model) and a logistic regression of family history and methylation on T1D (outcome model). For 8 of the 12 CpGs, we identified a significant interaction between T1D family history and methylation on T1D risk. Accounting for this interaction, we found that the increased risk of T1D for children with affected mothers compared to those with no family history was mediated through differences in methylation at two CpGs (cg27351978, cg00565786) in the DLGAP2 region, as demonstrated by a significant pure natural indirect effect (odds ratio (OR) = 1.98, 95% confidence interval (CI): 1.06-3.71) and nonsignificant total natural direct effect (OR = 1.65, 95% CI: 0.16-16.62) (for cg00565786). In contrast, the increased risk of T1D for children with an affected father or sibling was not explained by DNA methylation changes at these CpGs. Results were similar for cg27351978 and robust in sensitivity analyses. Lastly, we found that DNA methylation in the DLGAP2 region was associated (P<0:05) with gene expression of nearby protein-coding genes DLGAP2, ARHGEF10, ZNF596, and ERICH1. Results indicate that the maternal protective effect conferred through exposure to T1D in utero may operate through changes to DNA methylation that have functional downstream consequences.
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Affiliation(s)
- Randi K. Johnson
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Amanda J. Ireton
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Patrick M. Carry
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lauren A. Vanderlinden
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Fran Dong
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alex Romero
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - David R. Johnson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Debashis Ghosh
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Fan Yang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Brigitte Frohnert
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ivana V. Yang
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Wen Z, Li X. Association between weight-adjusted-waist index and female infertility: a population-based study. Front Endocrinol (Lausanne) 2023; 14:1175394. [PMID: 37614708 PMCID: PMC10442810 DOI: 10.3389/fendo.2023.1175394] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/21/2023] [Indexed: 08/25/2023] Open
Abstract
Aims Obesity is detrimental to infertility. The association between weight-adjusted-waist index (WWI, a recently developed adiposity indicator) and infertility has not previously been confirmed. Methods The data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2013-2018. Each participant's WWI was calculated as their waist circumference in centimeters by the square root of weight in kilograms. Multivariable logistic regression and generalized additive model were utilized to investigate the relationship between WWI with infertility. We used smoothed curve fitting to explore the non-linear relationship. Subgroup analysis and interaction tests were also conducted. Results A total of 3,526 participants with ages from18 to 45 were enrolled, 364 of whom were infertile. With the higher WWI, infertility was more prevalent (OR = 1.42, 95% CI: 1.22-1.65), and this association was still consistent in subgroups (all P for interaction> 0.05). Smoothed curve fitting showed a positive non-linear relationship between WWI and infertility. Furthermore, we discovered that WWI had a stronger connection with the risk of infertility than other markers of obesity including WC, body mass index (BMI) and a body shape index (ABSI). Conclusions Weight-adjusted-waist index levels were positively linked to an increased risk of infertility in American females and showed a stronger association than other markers of obesity. Our research indicated WWI could help identify women with infertility, and managing obesity as determined by WWI may help to reduce the risk of infertility.
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Affiliation(s)
| | - Xiang Li
- Department of Pharmacy, Heyuan People’s Hospital, Heyuan, China
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Reichelt AJ, de Campos MAA, Hirakata VN, Genro VK, Oppermann MLR. A Brazilian cohort of pregnant women with overt diabetes: analyses of risk factors using a machine learning technique. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e000628. [PMID: 37249459 PMCID: PMC10665057 DOI: 10.20945/2359-3997000000628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 10/12/2022] [Indexed: 05/31/2023]
Abstract
Objective Pregnancy complicated by type 2 diabetes is rising, while data on type 2 diabetes first diagnosed in pregnancy (overt diabetes) are scarce. We aimed to describe the frequency and characteristics of pregnant women with overt diabetes, compare them to those with known pregestational diabetes, and evaluate the potential predictors for the diagnosis of overt diabetes. Subjects and methods A retrospective cohort study including all pregnant women with type 2 diabetes evaluated in two public hospitals in Porto Alegre, Brazil, from May 20, 2005, to June 30, 2021. Classic and obstetric factors associated with type 2 diabetes risk were compared between the two groups, using machine learning techniques and multivariable analysis with Poisson regression. Results Overt diabetes occurred in 33% (95% confidence interval: 29%-37%) of 646 women. Characteristics of women with known or unknown type 2 diabetes were similar; excessive weight was the most common risk factor, affecting ~90% of women. Age >30 years and positive family history of diabetes were inversely related to a diagnosis of overt diabetes, while previous delivery of a macrosomic baby behaved as a risk factor in younger multiparous women; previous gestational diabetes and chronic hypertension were not relevant risk factors. Conclusion Characteristics of women with overt diabetes are similar to those of women with pregestational diabetes. Classic risk factors for diabetes not included in current questionnaires can help identify women at risk of type 2 diabetes before they become pregnant.
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Affiliation(s)
- Angela J Reichelt
- Hospital de Clínicas de Porto Alegre, Serviço de Endocrinologia e Metabologia, Porto Alegre, RS, Brasil; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Porto Alegre, RS, Brasil,
| | | | - Vânia N Hirakata
- Hospital de Clínicas de Porto Alegre, Unidade de Bioestatística e Análise de Dados, Porto Alegre, RS, Brasil
| | - Vanessa K Genro
- Hospital de Clínicas de Porto Alegre, Serviço de Ginecologia e Obstetrícia, Porto Alegre, RS, Brasil
| | - Maria Lúcia R Oppermann
- Hospital de Clínicas de Porto Alegre, Serviço de Ginecologia e Obstetrícia, Porto Alegre, RS, Brasil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Porto Alegre, RS, Brasil
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Chou CC, Lee HL, Wo HT, Chang PC, Chiang CY, Chiu KP, Liu HT. Obstetric and fetal/neonatal outcomes in pregnant women with frequent premature ventricular complexes and structurally normal heart. Int J Cardiol 2023; 371:160-166. [PMID: 36220506 DOI: 10.1016/j.ijcard.2022.10.011] [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: 06/19/2022] [Revised: 08/16/2022] [Accepted: 10/04/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND High premature ventricular complex (PVC) burden may increase the risk of left ventricular dysfunction and all-cause mortality. We aimed to evaluate maternal and neonatal outcomes of pregnant women with structurally normal heart having PVC burden ≥1%. METHODS This retrospective cohort study used data from Chang Gung Research Database. Pregnancies from January 1, 2005, through June 30, 2020, with documented maternal PVC burden ≥1% by 24-h Holter monitor were identified. Pregnant women with a diagnosis of structural heart disease or arrhythmias other than PVC were excluded. We used propensity score matching (PSM) to balance the covariates between the PVC group and normal control group. The PVC group was classified into low-PVC (<10%) and high-PVC burden subgroups. The maternal and neonatal outcomes were assessed through 6 months after delivery or termination. RESULTS After PSM, there were 214, 61, and 46 pregnant women enrolled in the normal control group, low-PVC burden, and high-PVC burden subgroups, respectively. The high-PVC and low-PVC burden subgroups had composite adverse maternal and neonatal events similar to the control group without use of antiarrhythmic drugs (AADs), but a higher proportion of placental abruption was observed in the high-PVC burden subgroup. Maternal age, diabetes, and overweight were significant predictors of composite adverse maternal events, whereas only maternal age was a significant predictor of composite adverse neonatal events. CONCLUSIONS High PVC burden was not associated with poor composite adverse maternal and neonatal outcomes with no need of AADs therapy in pregnant women with structurally normal heart.
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Affiliation(s)
- Chung-Chuan Chou
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Branch, 33305 Taoyuan, Taiwan; School of Medicine, Chang Gung University College of Medicine, 33302 Taoyuan, Taiwan
| | - Hui-Ling Lee
- Department of Anesthesia, Chang Gung Memorial Hospital, Taipei branch, 10507 Taipei, Taiwan
| | - Hung-Ta Wo
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Branch, 33305 Taoyuan, Taiwan
| | - Po-Cheng Chang
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Branch, 33305 Taoyuan, Taiwan; School of Medicine, Chang Gung University College of Medicine, 33302 Taoyuan, Taiwan
| | - Chi-Yuan Chiang
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Linkou Branch, 33305 Taoyuan, Taiwan
| | - Kai-Pin Chiu
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Branch, 33305 Taoyuan, Taiwan
| | - Hao-Tien Liu
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Branch, 33305 Taoyuan, Taiwan.
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Malaza N, Masete M, Adam S, Dias S, Nyawo T, Pheiffer C. A Systematic Review to Compare Adverse Pregnancy Outcomes in Women with Pregestational Diabetes and Gestational Diabetes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191710846. [PMID: 36078559 PMCID: PMC9517767 DOI: 10.3390/ijerph191710846] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/15/2022] [Accepted: 08/22/2022] [Indexed: 05/14/2023]
Abstract
Pregestational type 1 (T1DM) and type 2 (T2DM) diabetes mellitus and gestational diabetes mellitus (GDM) are associated with increased rates of adverse maternal and neonatal outcomes. Adverse outcomes are more common in women with pregestational diabetes compared to GDM; although, conflicting results have been reported. This systematic review aims to summarise and synthesise studies that have compared adverse pregnancy outcomes in pregnancies complicated by pregestational diabetes and GDM. Three databases, Pubmed, EBSCOhost and Scopus were searched to identify studies that compared adverse outcomes in pregnancies complicated by pregestational T1DM and T2DM, and GDM. A total of 20 studies met the inclusion criteria and are included in this systematic review. Thirteen pregnancy outcomes including caesarean section, preterm birth, congenital anomalies, pre-eclampsia, neonatal hypoglycaemia, macrosomia, neonatal intensive care unit admission, stillbirth, Apgar score, large for gestational age, induction of labour, respiratory distress syndrome and miscarriages were compared. Findings from this review confirm that pregestational diabetes is associated with more frequent pregnancy complications than GDM. Taken together, this review highlights the risks posed by all types of maternal diabetes and the need to improve care and educate women on the importance of maintaining optimal glycaemic control to mitigate these risks.
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Affiliation(s)
- Nompumelelo Malaza
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Tygerberg, Cape Town 7505, South Africa
- Department of Obstetrics and Gynaecology, Faculty of Health Sciences, University of Pretoria, Pretoria 0001, South Africa
| | - Matladi Masete
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Tygerberg, Cape Town 7505, South Africa
- Department of Obstetrics and Gynaecology, Faculty of Health Sciences, University of Pretoria, Pretoria 0001, South Africa
| | - Sumaiya Adam
- Department of Obstetrics and Gynaecology, Faculty of Health Sciences, University of Pretoria, Pretoria 0001, South Africa
- Diabetes Research Centre, Faculty of Health Sciences, University of Pretoria, Pretoria 0001, South Africa
| | - Stephanie Dias
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Tygerberg, Cape Town 7505, South Africa
| | - Thembeka Nyawo
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Tygerberg, Cape Town 7505, South Africa
- Centre for Cardio-Metabolic Research in Africa, Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town 7505, South Africa
| | - Carmen Pheiffer
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Tygerberg, Cape Town 7505, South Africa
- Department of Obstetrics and Gynaecology, Faculty of Health Sciences, University of Pretoria, Pretoria 0001, South Africa
- Centre for Cardio-Metabolic Research in Africa, Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town 7505, South Africa
- Correspondence:
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Dugalic S, Petronijevic M, Vasiljevic B, Todorovic J, Stanisavljevic D, Jotic A, Lukic L, Milicic T, Lalić N, Lalic K, Stoiljkovic M, Terzic-Supic Z, Stanisavljevic T, Stefanovic A, Stefanovic K, Vrzic-Petronijevic S, Macura M, Pantic I, Piperac P, Jovanovic M, Cerovic R, Djurasevic S, Babic S, Perkovic-Kepeci S, Gojnic M. Trends of the Prevalence of Pre-gestational Diabetes in 2030 and 2050 in Belgrade Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116517. [PMID: 35682099 PMCID: PMC9180675 DOI: 10.3390/ijerph19116517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/17/2022] [Accepted: 05/25/2022] [Indexed: 11/16/2022]
Abstract
The aim of this study was to analyze the trends in diabetes in pregnancy in Belgrade, Serbia for the period of the past decade and forecast the number of women with pre-gestational diabetes for the years 2030 and 2050. The study included the data on all pregnant women with diabetes from the registry of the deliveries in Belgrade, by the City Institute of Public Health of Belgrade, Serbia for the period between 2010 and 2020 and the published data on the deliveries on the territory of Belgrade. During the examined period the total number of live births in Belgrade was 196,987, and the prevalence of diabetes in pregnancy was 3.4%, with the total prevalence of pre-gestational diabetes of 0.7% and overall prevalence of GDM of 2.7%. The average age of women in our study was significantly lower in 2010 compared to 2020. The forecasted prevalence of pre-gestational diabetes among all pregnant women for 2030 is 2% and 4% for 2050 in our cohort. Our study showed that the prevalence of pre-gestational diabetes has increased both among all pregnant women and among women with diabetes in pregnancy in the past decade in Belgrade, Serbia and that it is expected to increase further in the next decades and to further double by 2050.
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Affiliation(s)
- Stefan Dugalic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | - Milos Petronijevic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | - Brankica Vasiljevic
- Maternity and Child Health Service, NMC Royal Hospital DIP, Dubai Hospital, Dubai P.O. Box 7832, United Arab Emirates;
| | - Jovana Todorovic
- Faculty of Medicine, Institute of Social Medicine, University of Belgrade, 11000 Belgrade, Serbia; (J.T.); (Z.T.-S.)
| | - Dejana Stanisavljevic
- Faculty of Medicine, Institute for Medical Statistics and Informatics, University of Belgrade, 11000 Belgrade, Serbia;
| | - Aleksandra Jotic
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.)
| | - Ljiljana Lukic
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.)
| | - Tanja Milicic
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.)
| | - Nebojsa Lalić
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.)
| | - Katarina Lalic
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.)
| | - Milica Stoiljkovic
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.)
| | - Zorica Terzic-Supic
- Faculty of Medicine, Institute of Social Medicine, University of Belgrade, 11000 Belgrade, Serbia; (J.T.); (Z.T.-S.)
| | | | - Aleksandar Stefanovic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | - Katarina Stefanovic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | - Svetlana Vrzic-Petronijevic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | - Maja Macura
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | - Igor Pantic
- Faculty of Medicine, Institute for Medical Physiology, University of Belgrade, 11000 Belgrade, Serbia;
| | - Pavle Piperac
- Department for Humanities, University of Belgrade, Faculty of Medicine, 11000 Belgrade, Serbia;
| | | | - Radmila Cerovic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | | | - Sandra Babic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
| | | | - Miroslava Gojnic
- Faculty of Medicine, Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, University of Belgrade, 11000 Belgrade, Serbia; (S.D.); (M.P.); (A.S.); (K.S.); (S.V.-P.); (M.M.); (R.C.); (S.B.)
- Correspondence:
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Seghieri G, Di Cianni G, Gualdani E, De Bellis A, Franconi F, Francesconi P. The impact of fetal sex on risk factors for gestational diabetes and related adverse pregnancy outcomes. Acta Diabetol 2022; 59:633-639. [PMID: 35037136 DOI: 10.1007/s00592-021-01836-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/29/2021] [Indexed: 12/18/2022]
Abstract
AIMS To investigate whether fetal sex affects the impact of classical GDM risk factors on the diagnosis of gestational diabetes (GDM) as well as on related adverse pregnancy outcomes. METHODS This retrospective observational study concerned 206,917 singleton live births born to 170,126 women aged 15-45 over the years 2010-2018 in Tuscany, Italy. GDM was identified by administrative data-sources in 21,613 pregnancies (10.5%) by assessing, through multiple logistic models, whether fetal sex modified the risk of GDM driven by maternal risk factors, and whether it modified the risk of adverse outcomes such as prematurity (birth ≤ 37th gestational week), large for gestational age (LGA), unplanned caesarean sections, or 5-min-Apgar-index ≤ 7 in pregnancies with GDM. RESULTS GDM was diagnosed in 21,613 pregnancies (10.5%). Male fetal sex predicted a higher adjusted risk of GDM: OR = 1.05(95% CI: 1.01-1.07); p < 0.0009. In pregnancies with female sex, pre-pregnancy obesity amplified the risk of GDM: OR = 1.09(95% CI: 1.01-1.19); p = 0.04. In pregnancies with GDM, carrying a female fetus increased the risk of LGA associated with pregestational obesity OR = 1.45(95% CI: 1.15-1.81); p = 0.001, and in primiparous pregnancies, it protected mothers from the risk of unplanned caesarean sections OR = 0.80(95%CI: 0.67-0.92); p = 0.001. CONCLUSIONS While male fetal sex is associated with rise in the risk of GDM, giving birth to a girl amplifies the excess GDM risk driven by pregestational obesity, thus increasing the risk of LGA in pregnancies with GDM. Additionally, female fetal sex in pregnancies with GDM seems to protect from the risk of unplanned caesarean sections in primiparous pregnancies.
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Affiliation(s)
- Giuseppe Seghieri
- Epidemiology Unit, Regional Health Agency of Tuscany, Via Pietro Dazzi 1, 50141, Florence, Italy.
| | - Graziano Di Cianni
- Diabetes and Metabolic Diseases Unit, Health Local Unit North-West Tuscany, Livorno, Italy
| | - Elisa Gualdani
- Epidemiology Unit, Regional Health Agency of Tuscany, Via Pietro Dazzi 1, 50141, Florence, Italy
| | - Alessandra De Bellis
- Diabetes and Metabolic Diseases Unit, "San Giovanni di Dio Hospital", Florence, Italy
| | - Flavia Franconi
- Laboratorio Nazionale di Farmacologia e Medicina di Genere, Istituto Nazionale Biostrutture Biosistemi, University of Sassari, Sassari, Italy
| | - Paolo Francesconi
- Epidemiology Unit, Regional Health Agency of Tuscany, Via Pietro Dazzi 1, 50141, Florence, Italy
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11
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Gojnic M, Todorovic J, Stanisavljevic D, Jotic A, Lukic L, Milicic T, Lalic N, Lalic K, Stoiljkovic M, Stanisavljevic T, Stefanovic A, Stefanovic K, Vrzic-Petronijevic S, Petronijevic M, Terzic-Supic Z, Macura M, Perovic M, Babic S, Piperac P, Jovanovic M, Parapid B, Doklestic K, Cerovic R, Djurasevic S, Dugalic S. Maternal and Fetal Outcomes among Pregnant Women with Diabetes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063684. [PMID: 35329371 PMCID: PMC8953700 DOI: 10.3390/ijerph19063684] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/12/2022] [Accepted: 03/15/2022] [Indexed: 02/08/2023]
Abstract
The aim of this study was to examine the differences in pregnancy complications, delivery characteristics, and neonatal outcomes between women with type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), and gestational diabetes mellitus (GDM). This study included all pregnant women with diabetes in pregnancy in Belgrade, Serbia, between 2010 and 2020. The total sample consisted of 6737 patients. In total, 1318 (19.6%) patients had T1DM, 138 (2.0%) had T2DM, and 5281 patients (78.4%) had GDM. Multivariate logistic regression with the type of diabetes as an outcome variable showed that patients with T1DM had a lower likelihood of vaginal delivery (OR: 0.73, 95% CI: 0.64–0.83), gestational hypertension (OR: 0.47, 95% CI: 0.36–0.62), higher likelihood of chronic hypertension (OR: 1.88, 95% CI: 1.55–2.29),and a higher likelihood ofgestational age at delivery before 37 weeks (OR: 1.38, 95% CI: 1.18–1.63) compared to women with GDM. Multivariate logistic regression showed that patients with T2DM had a lower likelihood ofgestational hypertension compared to women with GDM (OR: 0.37, 95% CI: 0.15–0.92).Our results indicate that the highest percentage of diabetes in pregnancy is GDM, and the existence of differences in pregnancy complications, childbirth characteristics, and neonatal outcomes are predominantly between women with GDM and women with T1DM.
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Affiliation(s)
- Miroslava Gojnic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
| | - Jovana Todorovic
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (J.T.); (Z.T.-S.)
| | - Dejana Stanisavljevic
- Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia;
| | - Aleksandra Jotic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
| | - Ljiljana Lukic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
| | - Tanja Milicic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
| | - Nebojsa Lalic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
| | - Katarina Lalic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
| | - Milica Stoiljkovic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
| | - Tamara Stanisavljevic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
| | - Aleksandar Stefanovic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
| | - Katarina Stefanovic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
| | - Svetlana Vrzic-Petronijevic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
| | - Milos Petronijevic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
| | - Zorica Terzic-Supic
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (J.T.); (Z.T.-S.)
| | - Maja Macura
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
| | - Milan Perovic
- Clinic for Gynecology and Obstetrics “NarodniFront”, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia;
| | - Sandra Babic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
| | - Pavle Piperac
- Department for Humanities, Faculty of Medicine, University of Belgrade, 11000 belgrade, Serbia;
| | | | - Bijana Parapid
- Clinic for Cardiology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia;
| | - Krisitna Doklestic
- Emergency Department, University Clinical Centre of Serbia, 11000 Belgrade, Serbia;
| | - Radmila Cerovic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
| | | | - Stefan Dugalic
- Clinic for Obstetrics and Gynecology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.G.); (A.S.); (K.S.); (S.V.-P.); (M.P.); (M.M.); (S.B.); (R.C.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.J.); (L.L.); (T.M.); (N.L.); (K.L.); (M.S.); (T.S.)
- Correspondence:
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FTO and ADRB2 Genetic Polymorphisms Are Risk Factors for Earlier Excessive Gestational Weight Gain in Pregnant Women with Pregestational Diabetes Mellitus: Results of a Randomized Nutrigenetic Trial. Nutrients 2022; 14:nu14051050. [PMID: 35268025 PMCID: PMC8912276 DOI: 10.3390/nu14051050] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/18/2022] [Accepted: 02/23/2022] [Indexed: 11/16/2022] Open
Abstract
Excessive gestational weight gain (GWG) is associated with increased risk of maternal and neonatal complications. We investigated obesity-related polymorphisms in the FTO gene (rs9939609, rs17817449) and ADRB2 (rs1042713, rs1042714) as candidate risk factors concerning excessive GWG in pregnant women with pregestational diabetes. This nutrigenetic trial, conducted in Brazil, randomly assigned 70 pregnant women to one of the groups: traditional diet (n = 41) or DASH diet (n = 29). Excessive GWG was the total weight gain above the upper limit of the recommendation, according to the Institute of Medicine guidelines. Genotyping was performed using real-time PCR. Time-to-event analysis was performed to investigate risk factors for progression to excessive GWG. Regardless the type of diet, AT carriers of rs9939609 (FTO) and AA carriers of rs1042713 (ADRB2) had higher risk of earlier exceeding GWG compared to TT (aHR 2.44; CI 95% 1.03–5.78; p = 0.04) and GG (aHR 3.91; CI 95% 1.12–13.70; p = 0.03) genotypes, respectively, as the AG carriers for FTO haplotype rs9939609:rs17817449 compared to TT carriers (aHR 1.79; CI 95% 1.04–3.06; p = 0.02).
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Feutry L, Barbe C, Marquet-Dupont A, Fèvre A, Lukas-Croisier C, Vitellius G, Delemer B, Barraud S. Contraception use and knowledge related to pregnancy in diabetic women. ANNALES D'ENDOCRINOLOGIE 2022; 83:88-94. [PMID: 35143750 DOI: 10.1016/j.ando.2022.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/02/2022] [Accepted: 01/20/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Diabetes mellitus prevalence is increasing among women of child-bearing age. Diabetic pregnancy is associated with major maternal and fetal risks, and these can be reduced by Preconception Care. Pregnancy can be planned using appropriate effective contraception. The objective of this study was to assess diabetic patients' knowledge about pregnancy and to describe their contraceptive use. STUDY DESIGN An observational study was conducted from February to July 2020 at Reims University Hospital, France. Inclusion criteria were: women aged 18 to 40 years, with type 1 (T1D) or type 2 diabetes (T2D). Patients filled out a survey about contraceptive use and knowledge regarding diabetic pregnancy and data were completed from medical records. RESULTS Eighty-nine T1D and 33 T2D patients were included, with mean ages of 27.9±6.3 and 32.6±4.6 years, respectively. Seventy-five percent reported that they had been informed about pregnancy-related risks and 67% about the need to plan pregnancy. The preconception HbA1c target was known by 33% of patients. Appropriate knowledge about pregnancy was greater in T1D patients (65.9%, versus 36.4% in T2D patients; p=0.003). The rate of patients using an effective contraceptive method was 66.4%. Fifteen percent patients for whom contraception was recommended reported having no contraceptive method; 12.5% of contraception users were using a contraindicated method. CONCLUSION A large majority of diabetic women were aware of pregnancy-related risks and the importance of pregnancy planning, but there are still gaps, especially in T2D patients. We need to improve our practices by providing more information and better access to appropriate effective contraception.
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Affiliation(s)
- Louise Feutry
- CHU de Reims - Hôpital Robert Debré, Service d'Endocrinologie - Diabète - Nutrition, Avenue du Général Koenig, 51092 REIMS CEDEX, FRANCE.
| | - Coralie Barbe
- Comité Universitaire de Ressources pour la Recherche en Santé, Université de Reims Champagne-Ardenne UFR Médecine, 51 rue Cognacq Jay, 51100 REIMS, FRANCE.
| | - Aurélie Marquet-Dupont
- Polyclinique Reims-Bezannes - Service de Gynécologie-Obstétrique, 109 rue Louis Victor de Broglie, 51430 BEZANNES, FRANCE.
| | - Anne Fèvre
- CHU de Reims - Hôpital Robert Debré, Service d'Endocrinologie - Diabète - Nutrition, Avenue du Général Koenig, 51092 REIMS CEDEX, FRANCE.
| | - Céline Lukas-Croisier
- CHU de Reims - Hôpital Robert Debré, Service d'Endocrinologie - Diabète - Nutrition, Avenue du Général Koenig, 51092 REIMS CEDEX, FRANCE.
| | - Géraldine Vitellius
- CHU de Reims - Hôpital Robert Debré, Service d'Endocrinologie - Diabète - Nutrition, Avenue du Général Koenig, 51092 REIMS CEDEX, FRANCE.
| | - Brigitte Delemer
- CHU de Reims - Hôpital Robert Debré, Service d'Endocrinologie - Diabète - Nutrition, Avenue du Général Koenig, 51092 REIMS CEDEX, FRANCE; CRESTIC EA 3804, Université de Reims Champagne Ardenne, UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE.
| | - Sara Barraud
- CHU de Reims - Hôpital Robert Debré, Service d'Endocrinologie - Diabète - Nutrition, Avenue du Général Koenig, 51092 REIMS CEDEX, FRANCE; CRESTIC EA 3804, Université de Reims Champagne Ardenne, UFR Sciences Exactes et Naturelles, Moulin de la Housse, BP 1039, 51687 Reims CEDEX 2, FRANCE.
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14
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Zhu L, Zhou B, Zhu X, Cheng F, Pan Y, Zhou Y, Wu Y, Xu Q. Association Between Body Mass Index and Female Infertility in the United States: Data from National Health and Nutrition Examination Survey 2013–2018. Int J Gen Med 2022; 15:1821-1831. [PMID: 35221716 PMCID: PMC8865871 DOI: 10.2147/ijgm.s349874] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/09/2022] [Indexed: 12/23/2022] Open
Abstract
Purpose This study aimed to investigate the effects of body mass index (BMI) on infertility in women of childbearing age. Patients and Methods We performed a cross-sectional study using data from 3624 participants from the National Health and Nutrition Examination Survey (NHANES). We used BMI and fertility status in the survey as independent and dependent variables, respectively. We evaluated their relationship and used smoothed curve fitting and multivariate logistic regression analysis as well as a generalized additive model (GAM) to determine the effect of BMI. Results Logistic regression model analysis linked BMI and infertility after adjusting for potential confounders OR 1.03, 95%Cl: 1.02–1.05). There was a non-linear relationship between BMI and infertility, with each unit increase in BMI reducing the risk of infertility by 33% when BMI was <19.5 kg/m2. In contrast, when BMI ≥19.5 kg/m2, each unit increase in BMI predicted a 3% increase in the risk of infertility. Conclusion The relationship between infertility and BMI presented a U-shaped curve. Therefore, a BMI that lay at the extremes of the spectrum tended to predict infertility. We believe that this study will support the maintenance of suitable BMI levels in women preparing for pregnancy.
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Affiliation(s)
- Lei Zhu
- Thyroid Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Bin Zhou
- Thyroid Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Xi Zhu
- Thyroid Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Feng Cheng
- Thyroid Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Ying Pan
- Breast Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Yi Zhou
- Breast Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Yong Wu
- Thyroid Surgery Department, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
| | - Qingna Xu
- Health Care Office, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, Lishui City, Zhejiang Province, People’s Republic of China
- Correspondence: Qingna Xu, Health Care Office, The Fifth Hospital Affiliated to Wenzhou Medical University, Lishui Central Hospital, No. 289, Kuocang Road, Lishui City, Zhejiang Province, People’s Republic of China, Tel +86 13735910709, Email
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Wu W, Tan QY, Xi FF, Ruan Y, Wang J, Luo Q, Dou XB, Hu TX. NLRP3 inflammasome activation in gestational diabetes mellitus placentas is associated with hydrogen sulfide synthetase deficiency. Exp Ther Med 2022; 23:94. [PMID: 34976136 PMCID: PMC8674967 DOI: 10.3892/etm.2021.11017] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/07/2021] [Indexed: 12/11/2022] Open
Abstract
The placenta may play a key role in the activation of inflammation and initiation of insulin resistance (IR) during gestational diabetes mellitus (GDM) pathogenesis. Interleukin (IL)-1β and IL-18, regulated by NLR family pyrin domain containing-3 (NLRP3) inflammasome, are important inflammatory cytokines in the initiation of maternal IR during GDM. However, the mechanism responsible for the regulatory of NLRP3 inflammasome in placenta remains unknown. Hydrogen sulfide (H2S) exerts anti-inflammatory function partially via suppressing the activation of the NLPR3 inflammasome. The present study aimed to investigate the role of NLRP3 inflammasome, H2S synthetase cystathionine-γ-lyase (CSE) and cystathionine-β-synthetase (CBS) in placenta in the pathogenesis of GDM. Clinical placenta samples were collected from pregnant women with GDM (n=16) and healthy pregnant women at term (n=16). Western blot analysis was performed to detect the protein expression levels of NLRP3, cleaved caspase-1, CBS and CSE in the placenta samples. Pearson's correlation analysis was performed to assess the correlation between NLRP3 inflammasome and H2S synthetase. Human placental cells were cultured and treated with different concentrations of NaHS (0, 10, 25 and 50 nmol/l) or L-cysteine (0, 0.25, 0.50 and 1.00 mmol/l). In addition, western blot analysis was performed to detect the protein expression levels of NLRP3 and cleaved caspase-1, while ELISA was performed to measure the production of IL-1β and IL-18 in the culture media. The results demonstrated that the expression levels of NLRP3 and cleaved caspase-1 increased, while the expression levels of CBS and CSE decreased in the placenta samples. In addition, the expression levels of NLRP3 and cleaved caspase-1 were inversely correlated with the expression levels of CBS and CSE. Notably, NaHS and L-cysteine significantly suppressed the expression levels of NLRP3 and cleaved caspase-1, and the production of IL-1 and IL-18 in human placental cells. Taken together, the results of the present study suggest that H2S synthetase deficiency in placenta may contribute to excessive activation of NLRP3 inflammasome in GDM.
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Affiliation(s)
- Wei Wu
- Department of Obstetrics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang 310006, P.R. China
| | - Qing-Ying Tan
- Department of Endocrinology, Chinese PLA 903rd Hospital (Former Chinese PLA 117th Hospital), Hangzhou, Zhejiang 310013, P.R. China
| | - Fang-Fang Xi
- Department of Obstetrics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang 310006, P.R. China
| | - Yun Ruan
- Department of Endocrinology, Chinese PLA 903rd Hospital (Former Chinese PLA 117th Hospital), Hangzhou, Zhejiang 310013, P.R. China
| | - Jing Wang
- Department of Endocrinology, Chinese PLA 903rd Hospital (Former Chinese PLA 117th Hospital), Hangzhou, Zhejiang 310013, P.R. China
| | - Qiong Luo
- Department of Obstetrics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang 310006, P.R. China
| | - Xiao-Bing Dou
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China
| | - Tian-Xiao Hu
- Department of Endocrinology, Chinese PLA 903rd Hospital (Former Chinese PLA 117th Hospital), Hangzhou, Zhejiang 310013, P.R. China.,School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China
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