Association Analysis of Insulin Resistance Metabolic Score (METS-IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018

IF 2.6 Q3 ENDOCRINOLOGY & METABOLISM
Hou Wenxuan, Xu Lingyun, Tang Yujie, Zhang Ting, Han Zhen, Luo Xiao, Yang Zhao
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Abstract

Objective

This study focused on the association of the Insulin resistance metabolic score (METS-IR) with the risk of gestational diabetes mellitus (GDM) using data from the National Health and Nutrition Examination Survey (NHANES).

Methods

Data from 6 cycles of NHANES (2007–2018) were analysed. Weighted logistic regression models were constructed to explore the relationship between METS-IR and GDM. Stratified and subgroup analyses with adjustment for confounding factors were carried out to explore the association between METS-IR and GDM.

Results

A total of 5189 samples were analysed. Based on the weighted logistic regression model, Ln(METS-IR) was positively associated with GDM with full adjustment (OR = 1.94, 95% CI 1.08–3.46, p < 0.005). After transferring Ln(METS-IR) into a categorical variable by quartiles, the positive connection between Ln(METS-IR) and GDM was still observed in the higher Ln(METS-IR) group compared to the lowest Ln(METS-IR) interval (OR of 1.86, 1.76 for participants in the Q3(3.73, 3.93) and Q4(3.93, 4.83) quartile, respectively, p < 0.05). The threshold effect model showed that when Ln(METS-IR) ≤ 4, the positive correlation between Ln(METS-IR) and GDM was more significant (β = 2.69, 95% CI 1.55–4.67, p = 0.0004). The area under the ROC curves of Ln(METS-IR) for GDM was 0.603, suggesting Ln(METS-IR) a more systematic predictor for GDM. Specifically, the OR and 95% CIs of GDM for women above high school in the Q2, Q3, and Q4 quartiles were 2.05 (1.04, 4.02), 3.41 (1.72, 6.78) and 2.78 (1.55, 4.99), respectively.

Conclusion

METS-IR in women elevates the likelihood of GDM occurrence. METS-IR serves as a comprehensive alternative to HOMA-IR rather than HbA1c and non-based insulin level to predict GDM.

Abstract Image

胰岛素抵抗代谢评分(METS-IR)与妊娠期糖尿病的相关性分析——基于2007 - 2018年全国健康与营养检查调查数据库
目的利用美国国家健康与营养调查(NHANES)的数据,探讨胰岛素抵抗代谢评分(METS-IR)与妊娠期糖尿病(GDM)风险的关系。方法对2007-2018年6个周期的NHANES数据进行分析。建立加权logistic回归模型探讨met - ir与GDM之间的关系。在校正混杂因素的情况下,进行分层和亚组分析,探讨METS-IR与GDM之间的关系。结果共分析样本5189份。基于加权logistic回归模型,经完全调整后,Ln(METS-IR)与GDM呈正相关(OR = 1.94, 95% CI 1.08-3.46, p < 0.005)。在将Ln(METS-IR)按四分位数转换为分类变量后,与最低Ln(METS-IR)区间相比,在Ln(METS-IR)较高组中仍观察到Ln(METS-IR)与GDM之间的正相关(Q3(3.73, 3.93)和Q4(3.93, 4.83)四分位数参与者的OR分别为1.86,1.76,p < 0.05)。阈值效应模型显示,当Ln(METS-IR)≤4时,Ln(METS-IR)与GDM的正相关更为显著(β = 2.69, 95% CI为1.55 ~ 4.67,p = 0.0004)。Ln(METS-IR)对GDM的ROC曲线下面积为0.603,表明Ln(METS-IR)是GDM更系统的预测因子。其中,高中以上女性第二、第三、第四季度GDM的OR和95% ci分别为2.05(1.04,4.02)、3.41(1.72,6.78)和2.78(1.55,4.99)。结论met - ir可提高女性发生GDM的可能性。met - ir可作为HOMA-IR的全面替代,而不是HbA1c和非基础胰岛素水平来预测GDM。
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来源期刊
Endocrinology, Diabetes and Metabolism
Endocrinology, Diabetes and Metabolism Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 weeks
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