非高密度脂蛋白/高密度脂蛋白胆固醇比率(NHHR)作为妊娠糖尿病的新预测因子:一项基于nhanes的横断面研究

IF 1.6 4区 医学 Q3 OBSTETRICS & GYNECOLOGY
Fangfang Shan, Mengmeng Ye, Haochan Wu, Hui Zhou, Zhaoxia Zhong, Yibo Wu
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引用次数: 0

摘要

目的:研究非高密度脂蛋白/高密度脂蛋白胆固醇比值(NHHR)与妊娠期糖尿病(GDM)风险之间的关系,并评估NHHR作为一种新的生物标志物在美国孕妇中的预测效用。患者和方法:对来自NHANES的1590名孕妇(1999-2018)进行了横断面分析。GDM定义为空腹血糖≥5.1 mmol/L。NHHR计算为(总胆固醇- HDL-C)/HDL-C。采用多变量logistic回归、限制性三次样条(RCS)模型和ROC分析来评估相关性、阈值效应和诊断准确性,并结合NHANES抽样权重。结果:最高的NHHR四分位数与GDM的几率高4.48倍相关(95% CI: 2.72-7.39, p < 0.05)。NHHR显示出有限的独立诊断准确性(AUC = 0.549, 95% CI: 0.510-0.587)。结论:虽然NHHR的独立诊断准确性有限(AUC = 0.549),但其对代谢失调的特异性表明,它有可能在多参数模型中作为一种补充的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-HDL/HDL cholesterol ratio (NHHR) as a novel predictor of gestational diabetes mellitus: a NHANES-based cross-sectional study.

Purpose: To investigate the association between the non-HDL/HDL cholesterol ratio (NHHR) and gestational diabetes mellitus (GDM) risk, and assess NHHR's predictive utility as a novel biomarker in U.S. pregnant women.

Patients and methods: A cross-sectional analysis of 1590 pregnant women from NHANES (1999-2018) was conducted. GDM was defined as fasting glucose ≥5.1 mmol/L. NHHR was calculated as (total cholesterol - HDL-C)/HDL-C. Multivariable logistic regression, restricted cubic spline (RCS) models, and ROC analysis were used to evaluate associations, threshold effects, and diagnostic accuracy, incorporating NHANES sampling weights.

Results: The highest NHHR quartile was associated with 4.48-fold higher odds of GDM (95% CI: 2.72-7.39, p < 0.001) after full adjustment. A nonlinear dose-response relationship with a threshold at NHHR = 2.267 was identified; above this threshold, GDM odds rose sharply (OR = 2.6, 95% CI: 2.0-3.3). Subgroup analyses confirmed consistency across age, ethnicity, and BMI (p for interaction > 0.05). NHHR demonstrated limited standalone diagnostic accuracy (AUC = 0.549, 95% CI: 0.510-0.587).

Conclusion: While NHHR demonstrates limited standalone diagnostic accuracy (AUC = 0.549), its specificity for metabolic dysregulation suggests potential as a complementary biomarker in multi-parameter models.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
217
审稿时长
2-3 weeks
期刊介绍: The official journal of The European Association of Perinatal Medicine, The Federation of Asia and Oceania Perinatal Societies and The International Society of Perinatal Obstetricians. The journal publishes a wide range of peer-reviewed research on the obstetric, medical, genetic, mental health and surgical complications of pregnancy and their effects on the mother, fetus and neonate. Research on audit, evaluation and clinical care in maternal-fetal and perinatal medicine is also featured.
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