open access

Vol 75, No 2 (2024)
Original paper
Submitted: 2023-12-15
Accepted: 2024-02-20
Published online: 2024-04-22
Get Citation

Establishment of pregnancy-specific lipid reference intervals in pregnant women in a single-centre and assessment of the predictive value of early lipids for gestational diabetes mellitus: a prospective cohort study

Dan Zhao1, Ning Yuan1, Jianbin Sun1, Xin Zhao1, Xiaomei Zhang1
·
Pubmed: 38646991
·
Endokrynol Pol 2024;75(2):192-198.
Affiliations
  1. Peking University International Hospital, Beijing, China

open access

Vol 75, No 2 (2024)
Original Paper
Submitted: 2023-12-15
Accepted: 2024-02-20
Published online: 2024-04-22

Abstract

Introduction: This study was aimed at establishing a pregnancy-specific lipid reference interval (RI) in pregnant women in a single-centre in the Beijing area of China, simultaneously exploring the predictive value of lipid levels in early pregnancy for gestational diabetes mellitus (GDM).

Material and methods: From October 2017 to August 2019, Peking University International Hospital established records for 1588 pregnant women, whose lipid profiles were determined during the first and third trimesters. The Hoffmann technique was used to calculate gestation-specific lipid RI. The 95% reference range for gestational lipids was also estimated for 509 healthy pregnant women screened according to the Clinical and Laboratory Standards Institute guideline. Multivariate logistic regression analysis was used to calculate odds ratios (OR) and their 95% confidence interval (CI), and the receiver operating characteristic (ROC) curve was applied to assess the predictive value of lipids in the first trimester for the diagnosis of GDM.

Results: Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were significantly higher in the third trimester (p < 0.05). Hoffmann technique RI of the lipid profiles and the 95% reference range of the lipid profiles in healthy pregnant women did not differ statistically (p > 0.05). TC, TG, and LDL-C levels were higher in
the GDM group in the first trimester (p < 0.05), and the risk of GDM was 2.1 times higher in women with higher TG (95% CI: 1.13–3.77, p < 0.05). The optimal ROC cut-off for TG to predict GDM was 2.375 mmol / L, and the area under the ROC curve was 0.622 (95% CI: 0.592–0.751), with a sensitivity of 73.7% and a specificity of 59.3%.

Conclusions: This study established pregnancy-specific lipid RI for pregnant women in a single centre in the Beijing area of China. Pregnant women with TG ≥ 2.375 mmol/L in the first trimester were at significantly increased risk for GDM.

Abstract

Introduction: This study was aimed at establishing a pregnancy-specific lipid reference interval (RI) in pregnant women in a single-centre in the Beijing area of China, simultaneously exploring the predictive value of lipid levels in early pregnancy for gestational diabetes mellitus (GDM).

Material and methods: From October 2017 to August 2019, Peking University International Hospital established records for 1588 pregnant women, whose lipid profiles were determined during the first and third trimesters. The Hoffmann technique was used to calculate gestation-specific lipid RI. The 95% reference range for gestational lipids was also estimated for 509 healthy pregnant women screened according to the Clinical and Laboratory Standards Institute guideline. Multivariate logistic regression analysis was used to calculate odds ratios (OR) and their 95% confidence interval (CI), and the receiver operating characteristic (ROC) curve was applied to assess the predictive value of lipids in the first trimester for the diagnosis of GDM.

Results: Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were significantly higher in the third trimester (p < 0.05). Hoffmann technique RI of the lipid profiles and the 95% reference range of the lipid profiles in healthy pregnant women did not differ statistically (p > 0.05). TC, TG, and LDL-C levels were higher in
the GDM group in the first trimester (p < 0.05), and the risk of GDM was 2.1 times higher in women with higher TG (95% CI: 1.13–3.77, p < 0.05). The optimal ROC cut-off for TG to predict GDM was 2.375 mmol / L, and the area under the ROC curve was 0.622 (95% CI: 0.592–0.751), with a sensitivity of 73.7% and a specificity of 59.3%.

Conclusions: This study established pregnancy-specific lipid RI for pregnant women in a single centre in the Beijing area of China. Pregnant women with TG ≥ 2.375 mmol/L in the first trimester were at significantly increased risk for GDM.

Get Citation

Keywords

pregnancy; lipid profile; reference intervals; gestational diabetes mellitus; adverse pregnancy outcomes

About this article
Title

Establishment of pregnancy-specific lipid reference intervals in pregnant women in a single-centre and assessment of the predictive value of early lipids for gestational diabetes mellitus: a prospective cohort study

Journal

Endokrynologia Polska

Issue

Vol 75, No 2 (2024)

Article type

Original paper

Pages

192-198

Published online

2024-04-22

Page views

117

Article views/downloads

60

DOI

10.5603/ep.98554

Pubmed

38646991

Bibliographic record

Endokrynol Pol 2024;75(2):192-198.

Keywords

pregnancy
lipid profile
reference intervals
gestational diabetes mellitus
adverse pregnancy outcomes

Authors

Dan Zhao
Ning Yuan
Jianbin Sun
Xin Zhao
Xiaomei Zhang

References (33)
  1. Yang T, Zhao J, Liu F, et al. Lipid metabolism and endometrial receptivity. Hum Reprod Update. 2022; 28(6): 858–889.
  2. Ziętek M, Celewicz Z, Szczuko M. Short-Chain Fatty Acids, Maternal Microbiota and Metabolism in Pregnancy. Nutrients. 2021; 13(4).
  3. Chavan-Gautam P, Rani A, Freeman DJ. Distribution of Fatty Acids and Lipids During Pregnancy. Adv Clin Chem. 2018; 84: 209–239.
  4. Liberis A, Petousis S, Tsikouras P. Lipid Disorders in Pregnancy. Curr Pharm Des. 2021; 27(36): 3804–3807.
  5. Zhang Y, Lan Xi, Cai C, et al. Associations between Maternal Lipid Profiles and Pregnancy Complications: A Prospective Population-Based Study. Am J Perinatol. 2021; 38(8): 834–840.
  6. Nasioudis D, Doulaveris G, Kanninen TT. Dyslipidemia in pregnancy and maternal-fetal outcome. Minerva Ginecol. 2019; 71(2): 155–162.
  7. Johns EC, Denison FC, Norman JE, et al. Gestational Diabetes Mellitus: Mechanisms, Treatment, and Complications. Trends Endocrinol Metab. 2018; 29(11): 743–754.
  8. Sweeting A, Wong J, Murphy HR, et al. A Clinical Update on Gestational Diabetes Mellitus. Endocr Rev. 2022; 43(5): 763–793.
  9. Behboudi-Gandevani S, Amiri M, Bidhendi Yarandi R, et al. The impact of diagnostic criteria for gestational diabetes on its prevalence: a systematic review and meta-analysis. Diabetol Metab Syndr. 2019; 11: 11.
  10. Gao C, Sun X, Lu Li, et al. Prevalence of gestational diabetes mellitus in mainland China: A systematic review and meta-analysis. J Diabetes Investig. 2019; 10(1): 154–162.
  11. Ye W, Luo C, Huang J, et al. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ. 2022; 377: e067946.
  12. Lowe WL, Lowe LP, Kuang A, et al. HAPO Follow-up Study Cooperative Research Group. Maternal glucose levels during pregnancy and childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study. Diabetologia. 2019; 62(4): 598–610.
  13. Sesmilo G, Prats P, Garcia S, et al. First-trimester fasting glycemia as a predictor of gestational diabetes (GDM) and adverse pregnancy outcomes. Acta Diabetol. 2020; 57(6): 697–703.
  14. Boyd JC. Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guidelines. CLSI document C28-A3. 2010; 28(3).
  15. Metzger BE, Gabbe SG, Persson B, et al. International Association of Diabetes and Pregnancy Study Groups Consensus Panel. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010; 33(3): 676–682.
  16. Hoffmann RG. Statistics in the Practice of Medicine. JAMA. 1963; 185: 864–873.
  17. Han L, Zheng W, Zhai Y, et al. Reference intervals of trimester-specific thyroid stimulating hormone and free thyroxine in Chinese women established by experimental and statistical methods. J Clin Lab Anal. 2018; 32(4): e22344.
  18. Jo YS, Cheon JuY, Ahn JW, et al. Pentraxin 3 and lipid profile status in pregnancy. J Obstet Gynaecol. 2017; 37(6): 727–730.
  19. Shrestha D, Workalemahu T, Tekola-Ayele F. Maternal dyslipidemia during early pregnancy and epigenetic ageing of the placenta. Epigenetics. 2019; 14(10): 1030–1039.
  20. Duttaroy AK, Basak S. Maternal Fatty Acid Metabolism in Pregnancy and Its Consequences in the Feto-Placental Development. Front Physiol. 2021; 12: 787848.
  21. Paulo MS, Abdo NM, Bettencourt-Silva R, et al. Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies. Front Endocrinol (Lausanne). 2021; 12: 691033.
  22. Kim W, Park SK, Kim YL. Fetal abdominal overgrowth is already present at 20-24 gestational weeks prior to diagnosis of gestational diabetes mellitus. Sci Rep. 2021; 11(1): 23821.
  23. Bendor CD, Bardugo A, Rotem RS, et al. Glucose Intolerance in Pregnancy and Offspring Obesity in Late Adolescence. Diabetes Care. 2022; 45(7): 1540–1548.
  24. Bianco ME, Josefson JL. Hyperglycemia During Pregnancy and Long-Term Offspring Outcomes. Curr Diab Rep. 2019; 19(12): 143.
  25. Moon JHo, Jang HC. Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications. Diabetes Metab J. 2022; 46(1): 3–14.
  26. Zhang Z, Yang L, Han W, et al. Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis. J Med Internet Res. 2022; 24(3): e26634.
  27. Song Z, Cheng Y, Li T, et al. Prediction of gestational diabetes mellitus by different obesity indices. BMC Pregnancy Childbirth. 2022; 22(1): 288.
  28. Thong EP, Ghelani DP, Manoleehakul P, et al. Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders. J Cardiovasc Dev Dis. 2022; 9(2).
  29. Wang J, Li Z, Lin Li. Maternal lipid profiles in women with and without gestational diabetes mellitus. Medicine (Baltimore). 2019; 98(16): e15320.
  30. Wang Yi, Sun F, Wu P, et al. A Prospective Study of Early-pregnancy Thyroid Markers, Lipid Species, and Risk of Gestational Diabetes Mellitus. J Clin Endocrinol Metab. 2022; 107(2): e804–e814.
  31. Ryckman KK, Spracklen CN, Smith CJ, et al. Maternal lipid levels during pregnancy and gestational diabetes: a systematic review and meta-analysis. BJOG. 2015; 122(5): 643–651.
  32. Layton J, Powe C, Allard C, et al. Maternal lipid profile differs by gestational diabetes physiologic subtype. Metabolism. 2019; 91: 39–42.
  33. Lewis GF, Carpentier A, Adeli K, et al. Disordered fat storage and mobilization in the pathogenesis of insulin resistance and type 2 diabetes. Endocr Rev. 2002; 23(2): 201–229.

Regulations

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

Via MedicaWydawcą jest  VM Media Group sp. z o.o., Grupa Via Medica, ul. Świętokrzyska 73, 80–180 Gdańsk

tel.:+48 58 320 94 94, faks:+48 58 320 94 60, e-mail:  viamedica@viamedica.pl