A nomogram for predicting adverse perinatal outcome with fetal growth restriction: a prospective observational study.

IF 2.7 2区 医学 Q1 OBSTETRICS & GYNECOLOGY BMC Pregnancy and Childbirth Pub Date : 2025-02-11 DOI:10.1186/s12884-025-07252-5
Ying Zhao, Lei Xu, Ping An, Jizi Zhou, Jie Zhu, Shuangping Liu, Qiongjie Zhou, Xiaotian Li, Yu Xiong
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Abstract

Background: Fetal growth restriction (FGR) is a major determinant of perinatal morbidity and mortality. Our study aimed to develop a prediction model for the risk of FGR developing adverse perinatal outcome (APO) and evaluate its performance.

Methods: This was a prospective observational cohort study of consecutive singleton gestations meeting the ACOG-endorsed criteria for FGR from January 2022 to June 2023 at Obstetrics and Gynecology Hospital of Fudan University. Clinical information, ultrasound indicators and serum biomarkers were collected. The primary composite APO comprised one or more of: perinatal death, intrauterine demise, intraventricular hemorrhage, periventricular leukomalacia, seizures, necrotizing enterocolitis, neonatal respiratory distress syndrome, sepsis and the length of stay in the neonatal intensive care unit > 7 days. Least absolute shrinkage and selection operator regression was used to screen variables for nomogram model construction. The discrimination, calibration and clinical effectiveness of the nomogram were evaluated using receiver operating characteristic curve, calibration plots and decision curve analysis in training and validation cohorts.

Results: A total of 122 pregnancies were enrolled in the final statistical analysis. Five variables were identified to establish a nomogram, including gestational weeks at diagnosis, abnormal umbilical artery Doppler, abnormal uterine artery Doppler, and multiples of the median values of placental growth factor and soluble fms-like tyrosine kinase-1. The area under the receiver-operating-characteristics curve of 0.87 (95% CI, 0.75-0.99) and 0.86 (95% CI, 0.74-0.98) in the training and validation cohort respectively, indicated satisfactory discriminative ability of the nomogram. The calibration plots showed favorable consistency between the nomogram's predictions and actual observations. Decision curve analysis supported its practical value in a clinical setting.

Conclusions: A nomogram was developed and validated to possess the promising capacity of predicting APO in FGR-afflicted neonates, and may prove useful in counseling and management of pregnancies complicated by FGR.

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预测胎儿生长受限不良围产期结局的nomogram:一项前瞻性观察性研究。
背景:胎儿生长受限(FGR)是围产期发病率和死亡率的主要决定因素。本研究旨在建立FGR发生不良围产期结局(APO)风险的预测模型并评估其性能。方法:本研究是一项前瞻性观察队列研究,研究对象为复旦大学妇产医院2022年1月至2023年6月期间符合acog认可的FGR标准的连续单胎妊娠。收集临床资料、超声指标及血清生物标志物。主要复合APO包括以下一项或多项:围产期死亡、宫内死亡、脑室内出血、脑室周围白质软化、癫痫发作、坏死性小肠结肠炎、新生儿呼吸窘迫综合征、败血症和在新生儿重症监护病房的住院时间(7天)。最小绝对收缩和选择算子回归用于筛选变量,以构建nomogram模型。采用训练和验证队列的受试者工作特征曲线、校正图和决策曲线分析,对nomogram鉴别、校正和临床有效性进行评价。结果:最终统计分析共纳入122例妊娠。确定5个变量,包括诊断时的妊娠周数、脐动脉异常多普勒、子宫动脉异常多普勒、胎盘生长因子和可溶性膜样酪氨酸激酶-1中位数的倍数,以建立nomogram。训练组和验证组的受试者-工作特征曲线下面积分别为0.87 (95% CI, 0.75 ~ 0.99)和0.86 (95% CI, 0.74 ~ 0.98),说明nomogram判别能力较好。标定图显示了nomogram预测值与实际观测值的良好一致性。决策曲线分析支持其在临床环境中的实用价值。结论:我们开发并验证了一种nomogram (x线图),它具有预测FGR患儿APO的良好能力,并可能在FGR合并妊娠的咨询和管理中被证明是有用的。
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来源期刊
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth OBSTETRICS & GYNECOLOGY-
CiteScore
4.90
自引率
6.50%
发文量
845
审稿时长
3-8 weeks
期刊介绍: BMC Pregnancy & Childbirth is an open access, peer-reviewed journal that considers articles on all aspects of pregnancy and childbirth. The journal welcomes submissions on the biomedical aspects of pregnancy, breastfeeding, labor, maternal health, maternity care, trends and sociological aspects of pregnancy and childbirth.
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