Development and validation of a prediction nomogram for adverse pregnancy outcomes among urban Chinese women with hypothyroxinemia during early pregnancy.

ABSTRACT:

Background

This study aimed to identify risk factors for adverse pregnancy outcomes (APO) in women with isolated maternal hypothyroxinemia (IMH) and to develop a nomogram for predicting APO risk during routine antenatal visits.

Methods

Data from 1254 IMH pregnancies, collected between January 2016 and December 2018 at the International Peace Maternal and Child Health Hospital (IPMCH) in Shanghai, China, were analyzed. APO, the primary outcome, included preterm birth (PTB), macrosomia, gestational diabetes mellitus (GDM), and hypertensive disorders of pregnancy (HDP). Multivariable logistic regression analyses identified risk factors for APO in IMH, and the least absolute shrinkage and selection operator (LASSO) regression algorithm was applied for feature selection, with cro

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC12329891 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature