面向风险最小化的NIPT检测时点优化与胎儿异常判定综合模型

Comprehensive Model for NIPT Detection Time Optimization and Fetal Abnormality Determination for Risk Minimization

摘要: 本研究聚焦高BMI孕妇，围绕无创产前检测技术(NIPT)开展探究，依托数据预处理、回归建模、非线性规划寻优及蒙特卡洛模拟等方法，搭建起全流程研究分析框架。随着优生优育理念普及、家庭胎儿健康保障意识提升，NIPT技术成为母婴健康新保障，而高BMI孕妇分娩风险偏高，亟需优化检测方法尽早排查胎儿异常。经系统性分析验证，本研究得出适配不同BMI孕妇的NIPT科学检测时点方案，既能保证检测精准度，又能尽早筛查胎儿异常，有效降低高BMI孕妇的分娩潜在风险。

Abstract: This study focuses on pregnant women with high BMI, explores non-invasive prenatal testing technology (NIPT), and builds a full-process research and analysis framework based on data preprocessing, regression modeling, nonlinear programming optimization, and Monte Carlo simulation. With the popularization of the concept of eugenics and the improvement of the awareness of family fetal health protection, NIPT technology has become a new guarantee for maternal and infant health, and pregnant women with high BMI have a high risk of childbirth, and it is urgent to optimize the detection method to detect fetal abnormalities as soon as possible. After systematic analysis and verification, this study concludes that the NIPT scientific testing time scheme suitable for pregnant women with different BMIs can not only ensure the accuracy of the detection, but also screen fetal abnormalities as soon as possible, effectively reducing the potential risk of childbirth in pregnant women with high BMI.