Obstetrics and High-Risk Unit - Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Department of Neurosciences, Reproductive and Dentistry Sciences, University of Naples Federico II, Naples, Italy.
Obstetrics and High-Risk Unit - Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Eur J Obstet Gynecol Reprod Biol. 2019 Dec;243:158-161. doi: 10.1016/j.ejogrb.2019.10.019. Epub 2019 Oct 22.
Early pregnancy models for prediction of GDM have been proposed, mostly using anamnestic and biochemical parameters. The aim of our study was to evaluate the strength of association of first trimester fetal heart rate (FHR) in predicting the development of gestational diabetes (GDM).
We considered in our analysis singleton non-diabetic pregnant women who underwent a first trimester screening at 11-14 weeks. Data on maternal age, BMI, cigarette smoking, NT, FHR, CRL, DV-PVI, β-hCG and PAPP-A were included in the analysis. Multivariate logistic regression analysis was used to estimate the association between maternal characteristics and first-trimester ultrasound measurements and GDM. We evaluated the efficacy of different models for the prediction of GDM.
We considered 603 women, of whom 199 (33%) were subsequently diagnosed with GDM. ROC analysis showed that first trimester FHR was highly predictive of GDM (AUC 0.809, 95% CI 0.769-0.849, p < 0.001). At FPR of 20%, first trimester FHR had a detection rate of 65.2% for GDM (positive likelihood ratio: 3.26; negative likelihood ratio: 0.43), which increased to 89.5% at FPR of 40% (positive likelihood ratio: 2.24; negative likelihood ratio: 0.17). When considering as threshold 162 bpm, FHR showed detection rate of 76.9%, specificity of 67.1% and negative predictive value of 85.5% for GDM.
This is the first study to highlight the potential role of first trimester FHR as early predictor of GDM. In our cohort, a threshold of 162 bpm has shown high detection rate and NPV for GDM.
已有研究提出了用于预测 GDM 的早期妊娠模型,这些模型大多使用病史和生化参数。本研究旨在评估孕早期胎儿心率(FHR)在预测妊娠期糖尿病(GDM)发展中的关联强度。
我们分析了在 11-14 周进行了早孕期筛查的单胎非糖尿病孕妇。分析中包括了母亲的年龄、BMI、吸烟情况、NT、FHR、CRL、DV-PVI、β-hCG 和 PAPP-A 等数据。采用多变量逻辑回归分析来估计母体特征和早孕期超声测量值与 GDM 之间的关联。我们评估了不同模型预测 GDM 的效果。
我们共纳入了 603 名女性,其中 199 名(33%)随后被诊断为 GDM。ROC 分析显示,孕早期 FHR 对 GDM 具有高度预测性(AUC 0.809,95%CI 0.769-0.849,p<0.001)。在假阳性率为 20%时,FHR 对 GDM 的检出率为 65.2%(阳性似然比:3.26;阴性似然比:0.43),在假阳性率为 40%时,检出率增加到 89.5%(阳性似然比:2.24;阴性似然比:0.17)。当考虑阈值为 162 bpm 时,FHR 对 GDM 的检出率为 76.9%、特异性为 67.1%和阴性预测值为 85.5%。
这是第一项强调孕早期 FHR 作为 GDM 早期预测因子的潜在作用的研究。在本队列中,阈值为 162 bpm 对 GDM 具有较高的检出率和阴性预测值。