{"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}
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.
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