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基于常规产前检查的妊娠期糖尿病预测模型：进展与展望
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Abstract:
本文旨在评估孕早期常规产前生化指标对妊娠期糖尿病GDM预测的应用和前景。本文系统地回顾了国内外文献，分析了空腹血糖、血脂、肝功能、肾功能、凝血功能及其他妊娠相关蛋白等在GDM预测中的作用和可靠性。分析发现空腹血糖、甘油三酯、低密度脂蛋白胆固醇、尿酸、肝酶(如GGT)、血小板指标(如MPV)以及孕早期PAPP-A等生化指标显示出了在GDM早期诊断中的潜在价值。这些指标的变化与GDM的发生密切相关，尤其是在孕早期的应用能够提供较高的敏感性和特异性。基于常规产前生化指标的综合应用能够有效提升对GDM的早期预测能力，有助于采取及早干预措施，改善孕妇和胎儿的健康结果。
The aim of this paper is to assess the application and prospects of routine prenatal biochemical indicators in early pregnancy for the prediction of GDM in gestational diabetes mellitus. This paper systematically reviewed the national and international literature and analyzed the role and reliability of fasting blood glucose, lipids, liver function, renal function, coagulation function and other pregnancy-related proteins in the prediction of GDM. The analysis revealed that biochemical indicators such as fasting blood glucose, triglycerides, low-density lipoprotein cholesterol, uric acid, liver enzymes (e.g., GGT), platelet indexes (e.g., MPV), and PAPP-A in early pregnancy showed potential value in the early diagnosis of GDM. Changes in these indicators are closely related to the development of GDM, and their application especially in early pregnancy can provide high sensitivity and specificity. The comprehensive application based on routine prenatal biochemical indicators can effectively enhance the early prediction of GDM, which can help to take early interventions and improve the health outcomes of pregnant women and fetuses.
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