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Tang W, Jia X, Tian H, Zeng X, Jiang Z. Correlation between lipid levels at different stages of pregnancy and pregnancy outcome and complications. Am J Transl Res 2024; 16:3117-3128. [PMID: 39114714 PMCID: PMC11301492 DOI: 10.62347/ojvv2986] [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: 03/08/2024] [Accepted: 06/11/2024] [Indexed: 08/10/2024]
Abstract
OBJECTIVE To explore correlation between lipid levels at different stages of pregnancy and outcomes and complications of pregnancy. METHODS The clinical data of 1000 parturients were retrospectively analyzed. The incidence of perinatal complications was counted, and the blood lipid levels of pregnant women with and without complications during pregnancy were compared. Additionally, the pregnancy outcomes of women with different lipid levels were compared. RESULTS There were statistically significant differences in total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) levels among early, mid, and late pregnancy (all P < 0.05). Single-factor analysis showed that TG in the complication group was higher than that of the non-complication group, while high-density lipoprotein cholesterol (HDL-C) was lower (both P < 0.05). Dyslipidemia was detected in 932 (95.20%) of cases in the complication group and 19 (90.48%) cases in the non-complication group, with no significant difference between the groups (P=0.630). There was also no significant difference in the incidence of adverse pregnancy outcome between the dyslipidemia and non-dyslipidemia groups (P=0.396). Multifactor analysis showed that TC, TG, HDL, and LDL-C in the first, second, or third trimesters were not risk factors for complications or adverse pregnancy outcome (P > 0.05). Correlation analysis indicated that TC, TG, HDL-C, and LDL-C in the first, second, and third trimesters of pregnancy had no significant correlation with the number of complications (First trimester: r=0.099, 0.146, -0.106, 0.137; Second trimester: r=0.027, 0.152, -0.102, 0.009; Third trimester: r=0.031, 0.191, -0.064, -0.056). CONCLUSION The serum lipid levels of pregnant women increased significantly in the second and third trimesters. However, there was no correlation between these elevated serum lipid levels and pregnancy complications or adverse outcome.
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Affiliation(s)
- Wenjuan Tang
- Department of Obstetrics and Gynecology, Hunan Maternal and Child Health HospitalNo. 57, Xiangchun Road, Kaifu District, Changsha 410000, Hunan, China
| | - Xiaozhou Jia
- Department of Obstetrics and Gynecology, Hunan Maternal and Child Health HospitalNo. 57, Xiangchun Road, Kaifu District, Changsha 410000, Hunan, China
| | - Hui Tian
- Department of Obstetrics and Gynecology, Hunan Maternal and Child Health HospitalNo. 57, Xiangchun Road, Kaifu District, Changsha 410000, Hunan, China
| | - Xiu Zeng
- Department of Obstetrics and Gynecology, Hunan Maternal and Child Health HospitalNo. 57, Xiangchun Road, Kaifu District, Changsha 410000, Hunan, China
| | - Zheming Jiang
- Department of Ultrasonography, Hunan Maternal and Child Health HospitalNo. 57, Xiangchun Road, Kaifu District, Changsha 410000, Hunan, China
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Lin L, Lin J, Yang F, Chen S, Liu Z. Association of Triglyceride-Glucose Index with Risk of Large for Gestational Age: A Prospective Cohort Study. Diabetes Metab Syndr Obes 2023; 16:3837-3846. [PMID: 38044980 PMCID: PMC10691371 DOI: 10.2147/dmso.s436611] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/27/2023] [Indexed: 12/05/2023] Open
Abstract
Background To evaluate the association of the baseline triglyceride-glucose (TyG) index in the first trimester of pregnancy with the risk of large for gestational age (LGA) in Southeast Chinese pregnant women. Methods A prospective birth cohort study recruiting 12,108 pregnant women at their first prenatal visit before 13 gestation weeks was conducted in 2019-2022. Baseline characteristics were collected from medical records or using questionnaires and blood samples were collected in the first trimester. The TyG index was obtained through the formula: ln[triglyceride (mg/dl)×fasting plasma glucose (mg/dl)/2]. The binary logistic regression model was performed to calculate the odds ratio (OR) and 95% confidence intervals (CI) to reveal the relationship between TyG index and LGA. Receiver-operating characteristic curve analysis was conducted to evaluate the ability of the TyG index to predict the risks of LGA. Results The overall incidence of LGA in the current study was 11.4% and the incidence of LGA increased with the baseline TyG index increasing. The risk of LGA was 2.05 (1.64, 2.57) for per unit increase in baseline TyG index. The increasing trend was found across the TyG index quartiles and the highest TyG quartiles raised the risk of LGA to 1.86 (95% CI: 1.51, 2.27) compared to the bottom TyG quartiles after full adjustment. The risk of LGA remained positive after stratification analysis. The AUC was 0.584 (95% CI: 0.569~0.600) in the entire subject, and the threshold was 8.34, with a sensitivity of 0.74 and specificity of 0.38. Conclusion The findings suggested that a higher TyG index in the first trimester was independently associated with higher risk of LGA and high TyG index in the first trimester may play as a early predictor for LGA.
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Affiliation(s)
- Lihua Lin
- Department of Healthcare, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China
| | - Juan Lin
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China
| | - Fang Yang
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China
| | - Shouzhen Chen
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China
| | - Zhaozhen Liu
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China
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Kavurt S, Uzlu SE, Bas AY, Tosun M, Çelen Ş, Üstün YE, Demirel N. Can the triglyceride-glucose index predict insulin resistance in LGA newborns? J Perinatol 2023; 43:1119-1124. [PMID: 36564472 DOI: 10.1038/s41372-022-01586-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The aim of this study is to investigate the TyG index and TG/HDL-C ratio and their relationships with insulin resistance in LGA infants. METHODS A prospective controlled study was conducted including 65 LGA and gestational age, gender-matched appropriate for gestational age (AGA) neonates. Serum TG, total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), insulin and glucose levels were measured within two hours after birth, TyG index and HOMA-IR values were calculated. RESULTS TyG index and TG/HDL- C ratio were higher in LGA neonates compared to AGA ones (p = 0.03; p = 0.00, respectively). Compared with AGA newborns, LGA newborns had higher levels of insulin and HOMA-IR (p = 0.00; p = 0.00, respectively). TyG index and TG/HDL-C ratio showed moderate correlation with HOMA-IR (r = 0.59 R2 = 0.35 p < 0.001; r = 0.5 R2 = 0.25 p < 0.001, respectively). CONCLUSıON: The results of this study show that LGA newborns have increased levels of TyG index and TG/HDL-C associated with insulin resistance.
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Affiliation(s)
- Sumru Kavurt
- Department of Neonatology, Etlik Zubeyde Hanım Women's Health Training and Research Hospital, University of Health Sciences, Ankara, Turkey.
| | - Safiye Elif Uzlu
- Department of Neonatology, Etlik Zubeyde Hanım Women's Health Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Ahmet Yagmur Bas
- Department of Neonatology, Ankara Yıldırım Beyazıt University, Ankara, Turkey
| | - Mehtap Tosun
- Department of Neonatology, Etlik Zubeyde Hanım Women's Health Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Şevki Çelen
- Department of Perinatology, Etlik Zubeyde Hanım Women's Health Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Yaprak Engin Üstün
- Department of Obstetrics and Gynecology, Etlik Zubeyde Hanım Women's Health Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Nihal Demirel
- Department of Neonatology, Ankara Yıldırım Beyazıt University, Ankara, Turkey
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Zhang Y, Liu P, Zhou W, Hu J, Cui L, Chen ZJ. Association of large for gestational age with cardiovascular metabolic risks: a systematic review and meta-analysis. Obesity (Silver Spring) 2023; 31:1255-1269. [PMID: 37140379 DOI: 10.1002/oby.23701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/27/2022] [Accepted: 11/28/2022] [Indexed: 05/05/2023]
Abstract
OBJECTIVE The aim of this study was to clarify the relationships among large for gestational age (LGA) and cardiometabolic risk factors. METHODS PubMed, Web of Science, and the Cochrane Library databases were searched to identify studies on LGA and outcomes of interest, including BMI, blood pressure, glucose metabolism, and lipid profiles. Data were independently extracted by two reviewers. A meta-analysis was performed using a random-effects model. The Newcastle-Ottawa Scale and funnel graph were used to assess the quality and publication bias, respectively. RESULTS Overall, 42 studies involving 841,325 individuals were included. Compared with individuals born appropriate for gestational age, individuals born LGA had higher odds of overweight and obesity (odds ratios [OR] = 1.44, 95% CI: 1.31-1.59), type 1 diabetes (OR = 1.28, 95% CI: 1.15-1.43), hypertension (OR = 1.23, 95% CI: 1.01-1.51), and metabolic syndrome (OR = 1.43, 95%; CI: 1.05-1.96). No significant difference was found in hypertriglyceridemia and hypercholesterolemia. Stratified analyses showed that, compared with individuals born appropriate for gestational age, individuals born LGA had higher odds for overweight and obesity from toddler age to puberty age (toddler age: OR = 2.12, 95% CI: 1.22-3.70; preschool: OR = 1.81, 95% CI: 1.55-2.12; school age: OR = 1.53, 95% CI: 1.09-2.14; puberty: OR = 1.40, 95% CI: 1.11-1.77). CONCLUSIONS LGA is associated with increased odds of obesity and metabolic syndrome later in life. Future studies should focus on elucidating the potential mechanisms and identifying risk factors.
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Affiliation(s)
- Yiyuan Zhang
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Peihao Liu
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Wei Zhou
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Jingmei Hu
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Linlin Cui
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
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Killeen SL, Yelverton CA, Geraghty AA, Kennelly MA, Eakins S, Farrell L, Fagan JF, Mehegan J, McAuliffe FM. The Edmonton Obesity Staging System and pregnancy outcomes in women with overweight or obesity: A secondary analysis of a randomized controlled trial. Clin Obes 2022; 12:e12510. [PMID: 35201671 PMCID: PMC9286690 DOI: 10.1111/cob.12510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 11/26/2022]
Abstract
The Edmonton Obesity Staging System (EOSS) is a proposed clinical practice tool to determine obesity severity. In a secondary analysis of the Pregnancy Exercise and Research Study (PEARS) (a mobile-health-supported lifestyle intervention among pregnant women with body mass index [BMI] ≥25 kg/m2 ), we apply the EOSS and explore relationships with pregnancy outcomes. In early (14-16 weeks) and late (28 weeks) pregnancy, fasting lipids and glucose were measured, blood pressure was extracted from medical records and maternal well-being was assessed using the WHO-5 Well-being Index. Pearson's correlations, chi-square statistics and multiple logistic regression were used to identify relationships. One-way analysis of variance was used to compare groups. Pregnant women (n = 348) were mean (SD) age 32.44 (4.39) years and median (interquartile range) BMI 28.0 (26.57, 29.88) kg/m2 . Using metabolic criteria only, 81.9% and 98.9% had raised EOSS scores in early and late pregnancy. From early to late pregnancy, EOSS scores increased by 60.1%. Of these, 10.5% experienced a 2-point increase, moving from stage 0 to stage 2. There was a potential relationship between early EOSS and large for gestational age (χ2 = 6.42, df (2), p = .04), although significance was lost when controlled for confounders (p = .223) and multiple testing. Most women with BMI ≥25 kg/m2 had raised EOSS scores, limiting the clinical utility of the tool.
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Affiliation(s)
- Sarah Louise Killeen
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
| | - Cara A. Yelverton
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
| | - Aisling A. Geraghty
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
- School of Agriculture and Food ScienceUniversity College DublinDublinIreland
| | - Maria A. Kennelly
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
| | - Shane Eakins
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
| | - Lily Farrell
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
| | - Jillian F. Fagan
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
| | - John Mehegan
- HRB Centre for Health and Diet Research, School of Public Health, Physiotherapy and Sports ScienceUniversity College DublinDublinIreland
| | - Fionnuala M. McAuliffe
- UCD Perinatal Research Centre, School of MedicineUniversity College Dublin, National Maternity HospitalDublinIreland
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