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Naeiji Z, Gargar SS, Pooransari P, Rahmati N, Mirzamoradi M, Eshraghi N, Ghaemi M, Arbabzadeh T, Masoumi M, Shamsinezhad BB, Omidi Kermanshahaninejad S. Association between fetal liver diameter and glycemic control in pregnant women with gestational diabetes: A pilot study. Diabetes Metab Syndr 2023; 17:102853. [PMID: 37714052 DOI: 10.1016/j.dsx.2023.102853] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 07/22/2023] [Accepted: 09/05/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND This study aimed to investigate the relationship between fetal liver length (FLL) and maternal glycemic status in pregnant women with gestational diabetes mellitus (GDM), as well as to determine whether FLL measurement in the third trimester is associated with neonatal outcomes. METHOD A total of 51 singleton GDM pregnancies were included in this pilot study, and transabdominal ultrasound biometry and FLL measurements were performed between 34 and 36 weeks of gestation. Maternal indicators of glycemic control, including hemoglobin A1C (HbA1C), fasting blood sugar (FBS), and 2-h postprandial blood sugar were also evaluated during this period. The cases were followed up until delivery and maternal and neonatal outcomes were assessed to determine any correlation with FLL. RESULT The results showed a significant positive correlation between FLL and HbA1C (r = 0.464, P = 0.001), FBS (r = 0.574, P < 0.001), 2-h postprandial blood sugar (r = 0.405, P = 0.002), and AC (r = 0.515, P < 0.001). Additionally, FLL was significantly associated with fetal birth weight (r = 0.408, P = 0.003) and birth weight (r = 0.460, P = 0.001). The FLL≥95th percentile group demonstrated a higher number of polyhydramnios (p = 0.007), macrosomia (p < 0.001), and maternal intensive care unit (ICU) admissions (p = 0.006). CONCLUSION In conclusion, FLL measurement during third trimester of pregnancy is an indicator of maternal glycemic regulation and can be used as a predictor of macrosomia and neonatal birth weight in GDM pregnancies.
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Affiliation(s)
- Zahra Naeiji
- Department of Gynecology and Obstetrics, Mahdiyeh Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soraya Saleh Gargar
- Department of Gynecology and Obstetrics, Mahdiyeh Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parichehr Pooransari
- Department of Gynecology and Obstetrics, Shohada Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nayereh Rahmati
- Department of Gynecology and Obstetrics, Mahdiyeh Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Masoumeh Mirzamoradi
- Department of Gynecology and Obstetrics, Mahdiyeh Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasim Eshraghi
- Vali-E-Asr Reproductive Health Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marjan Ghaemi
- Vali-E-Asr Reproductive Health Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Taraneh Arbabzadeh
- Department of Gynecology and Obstetrics, Shohada Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Masoumi
- Department of Gynecology and Obstetrics, Mahdiyeh Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Ye W, Luo C, Huang J, Li C, Liu Z, Liu F. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ 2022; 377:e067946. [PMID: 35613728 PMCID: PMC9131781 DOI: 10.1136/bmj-2021-067946] [Citation(s) in RCA: 150] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To investigate the association between gestational diabetes mellitus and adverse outcomes of pregnancy after adjustment for at least minimal confounding factors. DESIGN Systematic review and meta-analysis. DATA SOURCES Web of Science, PubMed, Medline, and Cochrane Database of Systematic Reviews, from 1 January 1990 to 1 November 2021. REVIEW METHODS Cohort studies and control arms of trials reporting complications of pregnancy in women with gestational diabetes mellitus were eligible for inclusion. Based on the use of insulin, studies were divided into three subgroups: no insulin use (patients never used insulin during the course of the disease), insulin use (different proportions of patients were treated with insulin), and insulin use not reported. Subgroup analyses were performed based on the status of the country (developed or developing), quality of the study, diagnostic criteria, and screening method. Meta-regression models were applied based on the proportion of patients who had received insulin. RESULTS 156 studies with 7 506 061 pregnancies were included, and 50 (32.1%) showed a low or medium risk of bias. In studies with no insulin use, when adjusted for confounders, women with gestational diabetes mellitus had increased odds of caesarean section (odds ratio 1.16, 95% confidence interval 1.03 to 1.32), preterm delivery (1.51, 1.26 to 1.80), low one minute Apgar score (1.43, 1.01 to 2.03), macrosomia (1.70, 1.23 to 2.36), and infant born large for gestational age (1.57, 1.25 to 1.97). In studies with insulin use, when adjusted for confounders, the odds of having an infant large for gestational age (odds ratio 1.61, 1.09 to 2.37), or with respiratory distress syndrome (1.57, 1.19 to 2.08) or neonatal jaundice (1.28, 1.02 to 1.62), or requiring admission to the neonatal intensive care unit (2.29, 1.59 to 3.31), were higher in women with gestational diabetes mellitus than in those without diabetes. No clear evidence was found for differences in the odds of instrumental delivery, shoulder dystocia, postpartum haemorrhage, stillbirth, neonatal death, low five minute Apgar score, low birth weight, and small for gestational age between women with and without gestational diabetes mellitus after adjusting for confounders. Country status, adjustment for body mass index, and screening methods significantly contributed to heterogeneity between studies for several adverse outcomes of pregnancy. CONCLUSIONS When adjusted for confounders, gestational diabetes mellitus was significantly associated with pregnancy complications. The findings contribute to a more comprehensive understanding of the adverse outcomes of pregnancy related to gestational diabetes mellitus. Future primary studies should routinely consider adjusting for a more complete set of prognostic factors. REVIEW REGISTRATION PROSPERO CRD42021265837.
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Affiliation(s)
- Wenrui Ye
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
| | - Cong Luo
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jing Huang
- National Clinical Research Centre for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chenglong Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
| | - Fangkun Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
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Lemieux P, Benham JL, Donovan LE, Moledina N, Pylypjuk C, Yamamoto JM. The association between gestational diabetes and stillbirth: a systematic review and meta-analysis. Diabetologia 2022; 65:37-54. [PMID: 34676425 DOI: 10.1007/s00125-021-05579-0] [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: 04/10/2021] [Accepted: 07/21/2021] [Indexed: 12/16/2022]
Abstract
AIMS/HYPOTHESIS Controversy exists over whether gestational diabetes increases the risk of stillbirth. The aim of this review was to examine the association between gestational diabetes and stillbirth. METHODS We performed searches of the published literature to May 2021. Study selection and data extraction were performed in duplicate by independent reviewers. Meta-analyses of summary measures were conducted using random-effect models for cohort and case-control studies separately. The study protocol was registered in PROSPERO (registration ID CRD42020166939). RESULTS From 9981 citations, 419 were identified for full-text review and 73 met inclusion criteria (n = 70,292,090). There was no significant association between gestational diabetes and stillbirth in cohort studies (pooled OR 1.04 [95% CI 0.90, 1.21]; I2 86.1%) or in case-control studies (pooled OR 1.57 [95% CI 0.83, 2.98]; I2 94.8%). Gestational diabetes was associated with lower odds of stillbirth among cohort studies presenting with an adjusted OR (pooled OR 0.78 [95% CI 0.68, 0.88]; I2 42.7%). Stratified analyses by stillbirth ≥28 weeks' gestation, studies published prior to 2013 and studies identified as low quality demonstrated a significantly higher odds of stillbirth in meta-regression (p = 0.016, 0.023 and 0.005, respectively). Egger's test for all included cohort studies (p = 0.018) suggests publication bias for the main meta-analysis. CONCLUSIONS/INTERPRETATION Given the substantial heterogeneity across studies, there are insufficient data to define the relationship between stillbirth and gestational diabetes adequately. In the main analyes, gestational diabetes was not associated with an increased risk of stillbirth. However, heterogeneity across studies means this finding should be interpreted cautiously.
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Affiliation(s)
- Patricia Lemieux
- Department of Medicine, CHU de Québec - University Laval, Quebec City, QC, Canada
| | - Jamie L Benham
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lois E Donovan
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Obstetrics and Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Nadia Moledina
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Christy Pylypjuk
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Manitoba, Winnipeg, MB, Canada
- Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB, Canada
| | - Jennifer M Yamamoto
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB, Canada.
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada.
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Di Filippo D, Wanniarachchi T, Wei D, Yang JJ, Mc Sweeney A, Havard A, Henry A, Welsh A. The diagnostic indicators of gestational diabetes mellitus from second trimester to birth: a systematic review. Clin Diabetes Endocrinol 2021; 7:19. [PMID: 34635186 PMCID: PMC8504031 DOI: 10.1186/s40842-021-00126-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 06/16/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is glucose intolerance first recognised during pregnancy. Both modalities and thresholds of the GDM diagnostic test, the Oral Glucose Tolerance Test (OGTT), have varied widely over time and among countries. Additionally, OGTT limitations include inconsistency, poor patient tolerability, and questionable diagnostic reliability. Many biological parameters have been reported to be modified by GDM and could potentially be used as diagnostic indicators. This study aimed to 1) systematically explore biomarkers reported in the literature as differentiating GDM from healthy pregnancies 2) screen those indicators assessed against OGTT to propose OGTT alternatives. MAIN BODY A systematic review of GDM diagnostic indicators was performed according to PRISMA guidelines (PROSPERO registration CRD42020145499). Inclusion criteria were full-text, comprehensible English-language articles published January 2009-January 2021, where a biomarker (from blood, ultrasound, amniotic fluid, placenta) was compared between GDM and normal glucose tolerance (NGT) women from the second trimester onward to immediately postpartum. GDM diagnostic method had to be clearly specified, and the number of patients per study higher than 30 in total or 15 per group. Results were synthesised by biomarkers. RESULTS Of 13,133 studies identified in initial screening, 174 studies (135,801 participants) were included. One hundred and twenty-nine studies described blood analytes, one amniotic fluid analytes, 27 ultrasound features, 17 post-natal features. Among the biomarkers evaluated in exploratory studies, Adiponectin, AFABP, Betatrophin, CRP, Cystatin-C, Delta-Neutrophil Index, GGT, TNF-A were those demonstrating statistically and clinically significant differences in substantial cohorts of patients (> 500). Regarding biomarkers assessed versus OGTT (i.e. potential OGTT alternatives) most promising were Leptin > 48.5 ng/ml, Ficolin3/adiponectin ratio ≥ 1.06, Chemerin/FABP > 0.71, and Ultrasound Gestational Diabetes Score > 4. These all demonstrated sensitivity and specificity > 80% in adequate sample sizes (> / = 100). CONCLUSIONS Numerous biomarkers may differentiate GDM from normoglycaemic pregnancy. Given the limitations of the OGTT and the lack of a gold standard for GDM diagnosis, advanced phase studies are needed to triangulate the most promising biomarkers. Further studies are also recommended to assess the sensitivity and specificity of promising biomarkers not yet assessed against OGTT. TRIAL REGISTRATION PROSPERO registration number CRD42020145499.
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Affiliation(s)
- Daria Di Filippo
- School, of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia
| | | | - Daniel Wei
- Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Jennifer J Yang
- Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Aoife Mc Sweeney
- Department of Women's and Children's Health, St George Hospital, Sydney, NSW, Australia
| | - Alys Havard
- National Drug and Alcohol Research Centre - Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Centre for Big Data Research in Health - Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Amanda Henry
- School, of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia
- Department of Women's and Children's Health, St George Hospital, Sydney, NSW, Australia
| | - Alec Welsh
- School, of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia.
- Department of Maternal-Fetal Medicine, Royal Hospital for Women, Locked Bag 2000, Barker Street, Randwick, NSW, 2031, Australia.
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A Glimpse at the Size of the Fetal Liver-Is It Connected with the Evolution of Gestational Diabetes? Int J Mol Sci 2021; 22:ijms22157866. [PMID: 34360631 PMCID: PMC8346004 DOI: 10.3390/ijms22157866] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 07/17/2021] [Accepted: 07/22/2021] [Indexed: 12/17/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as an impairment of glucose tolerance, manifested by hyperglycemia, which occurs at any stage of pregnancy. GDM is more common in the third trimester of pregnancy and usually disappears after birth. It was hypothesized that the glycemic status of the mother can modulate liver development and growth early during the pregnancy. The simplest modality to monitor the evolution of GDM employs noninvasive techniques. In this category, routinely obstetrical ultrasound (OUS) examinations (simple or 2D/3D) can be employed for specific fetal measurements, such as fetal liver length (FLL) or volume (FLV). FLL and FLV may emerge as possible predictors of GDM as they positively relate to the maternal glycated hemoglobin (HbA1c) levels and to the results of the oral glucose tolerance test. The aim of this review is to offer insight into the relationship between GDM and fetal nutritional status. Risk factors for GDM and the short- and long-term outcomes of GDM pregnancies are also discussed, as well as the significance of different dietary patterns. Moreover, the review aims to fill one gap in the literature, investigating whether fetal liver growth can be used as a predictor of GDM evolution. To conclude, although studies pointed out a connection between fetal indices and GDM as useful tools in the early detection of GDM (before 23 weeks of gestation), additional research is needed to properly manage GDM and offspring health.
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