妊娠前三个月孕妇肥胖作为妊娠期糖尿病的预测因子:一项前瞻性队列研究。

IF 2.1 4区 医学 Q2 ACOUSTICS
Nattraporn Srisovanna, Noppasin Khwankaew, Ninlapa Pruksanusak, Natthicha Chainarong, Thitima Suntharasaj, Chitkasaem Suwanrath, Savitree Pranpanus, Chusana Petpichetchian, Manaphat Suksai
{"title":"妊娠前三个月孕妇肥胖作为妊娠期糖尿病的预测因子:一项前瞻性队列研究。","authors":"Nattraporn Srisovanna, Noppasin Khwankaew, Ninlapa Pruksanusak, Natthicha Chainarong, Thitima Suntharasaj, Chitkasaem Suwanrath, Savitree Pranpanus, Chusana Petpichetchian, Manaphat Suksai","doi":"10.1002/jum.16735","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the predictive ability of first-trimester ultrasound measurements of maternal adiposity for predicting gestational diabetes mellitus (GDM).</p><p><strong>Methods: </strong>Abdominal adiposity measurements by transabdominal ultrasound were performed, including subcutaneous fat thickness (SFT), visceral fat thickness (VFT), and preperitoneal fat thickness (PFT), measured at 3 specific regions: the umbilicus, suprapubic area, and anterior surface of the liver. Two additional values were calculated based on these measurements: total abdominal fat thickness (TAT), which was determined as the sum of SFT1 and VFT, and body fat index (BFI), which was calculated using the formula: BFI = PFT (mm) × SFT3 (mm)/maternal height (cm). Multiple logistic regression and receiver operating characteristic (ROC) analysis were used to evaluate the predictive ability.</p><p><strong>Results: </strong>A total of 330 pregnant women were enrolled with a prevalence of GDM of 23.0%. Multivariate logistic regression analysis showed that none of the fat parameters were significantly associated with GDM. However, for body mass index (BMI) ≥25 kg/m<sup>2</sup>, only the BFI showed a statistically significant association with GDM (odds ratio [OR] 2.75 [1.54-4.92]), with an area under the ROC curve (AUC) of 0.677. In the subgroup with BMI < 23 kg/m<sup>2</sup>, only SFT at the umbilicus was significantly associated with GDM (OR 3.21 [1.08-9.53]) using a cut-off value of ≥15.4 mm, with a sensitivity of 73.7%, a negative predictive value of 93.8%, and an AUC of 0.668.</p><p><strong>Conclusions: </strong>Both BFI and SFT at the umbilical region demonstrate moderate discriminatory predictive performance for this condition across BMI-stratified subgroups.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maternal Adiposity in the First Trimester Pregnancy as a Predictor of Gestational Diabetes Mellitus: A Prospective Cohort Study.\",\"authors\":\"Nattraporn Srisovanna, Noppasin Khwankaew, Ninlapa Pruksanusak, Natthicha Chainarong, Thitima Suntharasaj, Chitkasaem Suwanrath, Savitree Pranpanus, Chusana Petpichetchian, Manaphat Suksai\",\"doi\":\"10.1002/jum.16735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To evaluate the predictive ability of first-trimester ultrasound measurements of maternal adiposity for predicting gestational diabetes mellitus (GDM).</p><p><strong>Methods: </strong>Abdominal adiposity measurements by transabdominal ultrasound were performed, including subcutaneous fat thickness (SFT), visceral fat thickness (VFT), and preperitoneal fat thickness (PFT), measured at 3 specific regions: the umbilicus, suprapubic area, and anterior surface of the liver. Two additional values were calculated based on these measurements: total abdominal fat thickness (TAT), which was determined as the sum of SFT1 and VFT, and body fat index (BFI), which was calculated using the formula: BFI = PFT (mm) × SFT3 (mm)/maternal height (cm). Multiple logistic regression and receiver operating characteristic (ROC) analysis were used to evaluate the predictive ability.</p><p><strong>Results: </strong>A total of 330 pregnant women were enrolled with a prevalence of GDM of 23.0%. Multivariate logistic regression analysis showed that none of the fat parameters were significantly associated with GDM. However, for body mass index (BMI) ≥25 kg/m<sup>2</sup>, only the BFI showed a statistically significant association with GDM (odds ratio [OR] 2.75 [1.54-4.92]), with an area under the ROC curve (AUC) of 0.677. In the subgroup with BMI < 23 kg/m<sup>2</sup>, only SFT at the umbilicus was significantly associated with GDM (OR 3.21 [1.08-9.53]) using a cut-off value of ≥15.4 mm, with a sensitivity of 73.7%, a negative predictive value of 93.8%, and an AUC of 0.668.</p><p><strong>Conclusions: </strong>Both BFI and SFT at the umbilical region demonstrate moderate discriminatory predictive performance for this condition across BMI-stratified subgroups.</p>\",\"PeriodicalId\":17563,\"journal\":{\"name\":\"Journal of Ultrasound in Medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ultrasound in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/jum.16735\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ACOUSTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ultrasound in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jum.16735","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

摘要

目的:评价孕早期超声测量孕妇肥胖对妊娠期糖尿病(GDM)的预测能力。方法:采用经腹超声测量腹部脂肪,包括皮下脂肪厚度(SFT)、内脏脂肪厚度(VFT)和腹膜前脂肪厚度(PFT),测量3个特定区域:脐部、耻骨上区和肝脏前表面。根据这些测量结果计算两个附加值:腹部脂肪总厚度(TAT),即SFT1和VFT之和;体脂指数(BFI),计算公式为:BFI = PFT (mm) × SFT3 (mm)/产妇身高(cm)。采用多元logistic回归和受试者工作特征(ROC)分析评价预测能力。结果:共纳入330名孕妇,GDM患病率为23.0%。多因素logistic回归分析显示,脂肪参数与GDM均无显著相关性。然而,当体重指数(BMI)≥25 kg/m2时,只有BFI与GDM有统计学显著相关(比值比[OR] 2.75 [1.54-4.92]), ROC曲线下面积(AUC)为0.677。在BMI为2的亚组中,只有脐部SFT与GDM显著相关(OR 3.21[1.08-9.53]),临界值≥15.4 mm,敏感性为73.7%,阴性预测值为93.8%,AUC为0.668。结论:脐部的BFI和SFT在bmi分层亚组中对这种情况表现出中度的歧视性预测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maternal Adiposity in the First Trimester Pregnancy as a Predictor of Gestational Diabetes Mellitus: A Prospective Cohort Study.

Objectives: To evaluate the predictive ability of first-trimester ultrasound measurements of maternal adiposity for predicting gestational diabetes mellitus (GDM).

Methods: Abdominal adiposity measurements by transabdominal ultrasound were performed, including subcutaneous fat thickness (SFT), visceral fat thickness (VFT), and preperitoneal fat thickness (PFT), measured at 3 specific regions: the umbilicus, suprapubic area, and anterior surface of the liver. Two additional values were calculated based on these measurements: total abdominal fat thickness (TAT), which was determined as the sum of SFT1 and VFT, and body fat index (BFI), which was calculated using the formula: BFI = PFT (mm) × SFT3 (mm)/maternal height (cm). Multiple logistic regression and receiver operating characteristic (ROC) analysis were used to evaluate the predictive ability.

Results: A total of 330 pregnant women were enrolled with a prevalence of GDM of 23.0%. Multivariate logistic regression analysis showed that none of the fat parameters were significantly associated with GDM. However, for body mass index (BMI) ≥25 kg/m2, only the BFI showed a statistically significant association with GDM (odds ratio [OR] 2.75 [1.54-4.92]), with an area under the ROC curve (AUC) of 0.677. In the subgroup with BMI < 23 kg/m2, only SFT at the umbilicus was significantly associated with GDM (OR 3.21 [1.08-9.53]) using a cut-off value of ≥15.4 mm, with a sensitivity of 73.7%, a negative predictive value of 93.8%, and an AUC of 0.668.

Conclusions: Both BFI and SFT at the umbilical region demonstrate moderate discriminatory predictive performance for this condition across BMI-stratified subgroups.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.10
自引率
4.30%
发文量
205
审稿时长
1.5 months
期刊介绍: The Journal of Ultrasound in Medicine (JUM) is dedicated to the rapid, accurate publication of original articles dealing with all aspects of medical ultrasound, particularly its direct application to patient care but also relevant basic science, advances in instrumentation, and biological effects. The journal is an official publication of the American Institute of Ultrasound in Medicine and publishes articles in a variety of categories, including Original Research papers, Review Articles, Pictorial Essays, Technical Innovations, Case Series, Letters to the Editor, and more, from an international bevy of countries in a continual effort to showcase and promote advances in the ultrasound community. Represented through these efforts are a wide variety of disciplines of ultrasound, including, but not limited to: -Basic Science- Breast Ultrasound- Contrast-Enhanced Ultrasound- Dermatology- Echocardiography- Elastography- Emergency Medicine- Fetal Echocardiography- Gastrointestinal Ultrasound- General and Abdominal Ultrasound- Genitourinary Ultrasound- Gynecologic Ultrasound- Head and Neck Ultrasound- High Frequency Clinical and Preclinical Imaging- Interventional-Intraoperative Ultrasound- Musculoskeletal Ultrasound- Neurosonology- Obstetric Ultrasound- Ophthalmologic Ultrasound- Pediatric Ultrasound- Point-of-Care Ultrasound- Public Policy- Superficial Structures- Therapeutic Ultrasound- Ultrasound Education- Ultrasound in Global Health- Urologic Ultrasound- Vascular Ultrasound
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信