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Association between cardiometabolic index and gestational diabetes mellitus: a cross-sectional study.
Chen, Minchun; Xiong, Suqiang; Zheng, Jie; Zhang, Jingyi; Ye, Dan; Xian, Yusan; Cao, Qing; Yan, Kangkang.
Affiliation
  • Chen M; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China.
  • Xiong S; Clinical Medical Research Center, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China.
  • Zheng J; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China.
  • Zhang J; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China.
  • Ye D; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China.
  • Xian Y; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China.
  • Cao Q; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China. carlosq@163.com.
  • Yan K; Department of Pharmacy, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, China. 276317800@qq.com.
Endocrine ; 2024 Sep 23.
Article in En | MEDLINE | ID: mdl-39313707
ABSTRACT

BACKGROUND:

Cardiometabolic index (CMI) is a novel marker of diabetes mellitus. However, few studies have examined its association with gestational diabetes mellitus (GDM) risk. This study aimed to explore the association between CMI and GDM risk among pregnant women in the United States.

METHODS:

We performed a cross-sectional study utilizing data recorded in the National Health and Nutrition Examination Survey database from 1999 to 2018. Univariate and multivariate logistic regression, restricted cubic splines (RCS), sensitivity, and subgroup analyses were performed to clarify the relationship between CMI and GDM risk.

RESULTS:

A total of 710 pregnant women were recruited, among whom 113 were diagnosed with GDM based on established criteria. This population showed a significant association between a higher CMI value and GDM (odds ratio 1.75, 95% confidence interval 1.03-2.99, P = 0.038). RCS regression analysis identified a linear relationship between CMI and GDM (P-value < 0.001, P-nonlinear = 0.702). Sensitivity analysis further confirmed the validity of this relationship. Subgroup analysis indicated a positive association between CMI and GDM among women who drink or smoke and Mexican Americans.

CONCLUSION:

This study demonstrates a significant positive association between CMI and GDM risk, suggesting that a higher CMI predicts GDM incidence during pregnancy. Further research is required to investigate the CMI index as an early predictor of GDM.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Endocrine Journal subject: ENDOCRINOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Endocrine Journal subject: ENDOCRINOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos