Gestational diabetes mellitus (GDM): diagnosis using biochemical parameters and anthropometric measurements during the first trimester in the Indian population.

IF 1.1 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Hormone Molecular Biology and Clinical Investigation Pub Date : 2024-11-12 DOI:10.1515/hmbci-2024-0040

Jagriti, Prabhat, Anju Jain, Pikee Saxena, Ahirwar Ashok Kumar

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引用次数: 0

Abstract

Objectives: The objective of the study was to use anthropometric measurements (age, BMI, and subcutaneous fat) in conjunction with biochemical parameters (sex hormone-binding globulin (SHBG), homeostasis model assessment-insulin resistance (HOMA-IR), fasting glucose, serum insulin, and total cholesterol) to predict the probability of gestational diabetes mellitus (GDM) in the first trimester.

Methods: The study enrolled 48 pregnant women with GDM and 64 high-risk pregnant women without GDM. During the first-trimester examination, maternal blood samples were collected to measure SHBG, fasting blood glucose, serum insulin, and total cholesterol levels. Regression model analysis was used to examine the variables that showed statistically significant differences between the groups and were independent predictors of GDM. Receiver operating characteristic (ROC) curve analysis was employed to determine the risk of developing GDM based on cut-off values.

Results: The levels of SHBG, HOMA-IR, serum insulin, fasting glucose, and total cholesterol were identified as significant independent markers for predicting GDM. Meanwhile, age, body mass index, and subcutaneous fat values were found to be non-independent predictors of GDM. The areas under the ROC curve were calculated to determine the predictive accuracy of total cholesterol, HOMA-IR, SHBG, and subcutaneous fat for developing into GDM, and were 0.869, 0.977, 0.868, and 0.822 respectively. The sensitivities for a false positive rate of 5 % for predicting GDM were 68.7 , 91.67, 91.7, and 97.9 % for total cholesterol, HOMA-IR, SHBG, and subcutaneous fat, respectively.

Conclusions: The independent predictors for the subsequent development of GDM in high-risk pregnancies are HOMA-IR, SHBG, Total cholesterol, and subcutaneous fat (SC) levels. These parameters can be used to create a regression model to predict the occurrence of GDM.

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妊娠糖尿病 (GDM)：利用印度人口妊娠头三个月的生化指标和人体测量数据进行诊断。

研究目的该研究旨在利用人体测量指标（年龄、体重指数和皮下脂肪）与生化指标（性激素结合球蛋白（SHBG）、稳态模型评估-胰岛素抵抗（HOMA-IR）、空腹血糖、血清胰岛素和总胆固醇）相结合，预测妊娠头三个月发生妊娠糖尿病（GDM）的概率：该研究共纳入了 48 名 GDM 孕妇和 64 名未患 GDM 的高危孕妇。在妊娠头三个月的检查中，采集孕妇血样以测量 SHBG、空腹血糖、血清胰岛素和总胆固醇水平。通过回归模型分析，研究了各组间存在显著统计学差异且可独立预测 GDM 的变量。采用接收者操作特征曲线（ROC）分析，根据临界值确定罹患 GDM 的风险：结果：SHBG、HOMA-IR、血清胰岛素、空腹血糖和总胆固醇水平被认为是预测 GDM 的重要独立指标。同时，年龄、体重指数和皮下脂肪值被认为是预测 GDM 的非独立指标。计算了总胆固醇、HOMA-IR、SHBG 和皮下脂肪对预测 GDM 的准确性，其 ROC 曲线下的面积分别为 0.869、0.977、0.868 和 0.822。总胆固醇、HOMA-IR、SHBG 和皮下脂肪的预测灵敏度分别为 68.7%、91.67%、91.7% 和 97.9%，假阳性率为 5%：结论：HOMA-IR、SHBG、总胆固醇和皮下脂肪（SC）水平是高危妊娠发生 GDM 的独立预测因素。这些参数可用于建立预测 GDM 发生的回归模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Hormone Molecular Biology and Clinical Investigation BIOCHEMISTRY & MOLECULAR BIOLOGY-

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： Hormone Molecular Biology and Clinical Investigation (HMBCI) is dedicated to the provision of basic data on molecular aspects of hormones in physiology and pathophysiology. The journal covers the treatment of major diseases, such as endocrine cancers (breast, prostate, endometrium, ovary), renal and lymphoid carcinoma, hypertension, cardiovascular systems, osteoporosis, hormone deficiency in menopause and andropause, obesity, diabetes, brain and related diseases, metabolic syndrome, sexual dysfunction, fetal and pregnancy diseases, as well as the treatment of dysfunctions and deficiencies. HMBCI covers new data on the different steps and factors involved in the mechanism of hormone action. It will equally examine the relation of hormones with the immune system and its environment, as well as new developments in hormone measurements. HMBCI is a blind peer reviewed journal and publishes in English: Original articles, Reviews, Mini Reviews, Short Communications, Case Reports, Letters to the Editor and Opinion papers. Ahead-of-print publishing ensures faster processing of fully proof-read, DOI-citable articles.