A predictive model for patent ductus arteriosus seven days postpartum in preterm infants: an ultrasound-based assessment of ductus arteriosus intimal thickness within 24 h after birth

Xin-Lu Hu, Ting-Ting Zhu, Hui Wang, Cui Hou, Jun-Cheng Ni, Zhuo-Fan Zhang, Xiao-Chen Li, Hao Peng, Hong Li, Ling Sun, Qiu-Qin Xu
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Abstract

To develop a predictive model for patent ductus arteriosus (PDA) in preterm infants at seven days postpartum. The model employs ultrasound measurements of the ductus arteriosus (DA) intimal thickness (IT) obtained within 24 h after birth.One hundred and five preterm infants with gestational ages ranging from 27.0 to 36.7 weeks admitted within 24 h following birth were prospectively enrolled. Echocardiographic assessments were performed to measure DA IT within 24 h after birth, and DA status was evaluated through echocardiography on the seventh day postpartum. Potential predictors were considered, including traditional clinical risk factors, M-mode ultrasound parameters, lumen diameter of the DA (LD), and DA flow metrics. A final prediction model was formulated through bidirectional stepwise regression analysis and subsequently subjected to internal validation. The model's discriminative ability, calibration, and clinical applicability were also assessed.The final predictive model included birth weight, application of mechanical ventilation, left ventricular end-diastolic diameter (LVEDd), LD, and the logarithm of IT (logIT). The receiver operating characteristic (ROC) curve for the model, predicated on logIT, exhibited excellent discriminative power with an area under the curve (AUC) of 0.985 (95% CI: 0.966–1.000), sensitivity of 1.000, and specificity of 0.909. Moreover, the model demonstrated robust calibration and goodness-of-fit (χ2 value = 0.560, p > 0.05), as well as strong reproducibility (accuracy: 0.935, Kappa: 0.773), as evidenced by 10-fold cross-validation. A decision curve analysis confirmed the model's broad clinical utility.Our study successfully establishes a predictive model for PDA in preterm infants at seven days postpartum, leveraging the measurement of DA IT. This model enables identifying, within the first 24 h of life, infants who are likely to benefit from timely DA closure, thereby informing treatment decisions.
早产儿产后七天动脉导管未闭的预测模型:基于超声波的产后 24 小时内动脉导管内膜厚度评估
目的:建立早产儿产后七天动脉导管未闭(PDA)的预测模型。该模型采用了出生后 24 小时内获得的动脉导管(DA)内膜厚度(IT)超声测量结果。在婴儿出生后24小时内进行超声心动图评估以测量DA IT,并在产后第七天通过超声心动图评估DA状态。潜在的预测因素包括传统的临床风险因素、M型超声参数、DA管腔直径(LD)和DA血流指标。通过双向逐步回归分析建立了最终预测模型,随后进行了内部验证。最终的预测模型包括出生体重、机械通气应用、左心室舒张末期直径(LVEDd)、LD和IT对数(logIT)。以对数IT为基础的模型的接收器操作特征曲线(ROC)显示出极佳的判别能力,曲线下面积(AUC)为0.985(95% CI:0.966-1.000),灵敏度为1.000,特异性为0.909。此外,10 倍交叉验证结果表明,该模型具有稳健的校准和拟合优度(χ2 值 = 0.560,P > 0.05),以及较强的可重复性(准确度:0.935,Kappa:0.773)。我们的研究利用 DA IT 测量,成功建立了产后七天早产儿 PDA 的预测模型。该模型能在婴儿出生后 24 小时内识别出可能从及时关闭 DA 中获益的婴儿,从而为治疗决策提供依据。
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