Building a predictive model for pregnancy outcomes in ART patients based on AMH, FORT, HCG day EMT, and clinical characteristics

There are numerous factors influencing pregnancy outcomes in ART patients, primarily including age, body mass index, number of oocytes retrieved, HCG day EMT, AMH, and FORT. The risk prediction nomogram model constructed based on these factors has certain predictive value for pregnancy outcomes in ART patients. Clinicians should identify high-risk populations early and optimize treatment plans accordingly.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-11-27
DOI
https://doi.org/10.3389/fmed.2025.1699477
Primary Topic
Pregnancy and Medication Impact
Type
article
Field-Weighted Citation Impact
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article

Building a predictive model for pregnancy outcomes in ART patients based on AMH, FORT, HCG day EMT, and clinical characteristics

Yushan Wang, Jiaojiao Bai, Lei Zhang, Xiaofang Liu
Frontiers in Medicine
Pregnancy and Medication Impact
article

Building a predictive model for pregnancy outcomes in ART patients based on AMH, FORT, HCG day EMT, and clinical characteristics

Yushan Wang, Jiaojiao Bai, Lei Zhang, Xiaofang Liu
article en

Abstract

There are numerous factors influencing pregnancy outcomes in ART patients, primarily including age, body mass index, number of oocytes retrieved, HCG day EMT, AMH, and FORT. The risk prediction nomogram model constructed based on these factors has certain predictive value for pregnancy outcomes in ART patients. Clinicians should identify high-risk populations early and optimize treatment plans accordingly.

Frontiers in MedicineVol. 12
Air Force General Hospital PLA (CN), Air Force Institute of Aviation Medicine Affiliated Hospital (CN)
Openalex Percentile: Top 53%
Pregnancy and Medication Impact
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