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A Machine Learning Prediction Model for Preeclampsia Based on Multi-Omics Hepatic Metabolic Biomarkers

A Machine Learning Prediction Model for Preeclampsia Based on Multi-Omics Hepatic Metabolic Biomarkers

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127526
Enrollment
Unknown
Registered
2026-07-01
Start date
2026-07-01
Completion date
Unknown
Last updated
2026-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Preeclampsia

Interventions

Single-Center Prospective Cohort Study – Normal Pregnancy Control Group without PE:None
Single-Center Prospective Cohort Study – Preeclampsia (PE) Group:None
Prospective Case-Control Study – 1:2 Matched Normal Pregnancy Control Group:None
Multicenter Retrospective Cohort Study – Normal Pregnancy Control Group without PE (Preeclampsia):None
Multicenter Retrospective Cohort Study – Preeclampsia Case Group:None
Prospective Case-Control Study – Preeclampsia (PE) Case Group:None

Sponsors

Beijing Obstetrics and Gynecology Hospital, Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 45 Years

Inclusion criteria

Inclusion criteria: 1.Chinese nationality; 2.6–13?6 weeks of gestation; 3.All antenatal check-ups and delivery at the registered hospital; 4.Residing in the current location for at least 1 consecutive year; 5.Free from statutorily notifiable infectious diseases including hepatitis B, syphilis, and HIV/AIDS.

Exclusion criteria

Exclusion criteria: 1.Incomplete essential test results during early pregnancy; History of hypertension; Severe kidney disease, severe chronic liver disease, autoimmune diseases, etc.; Incomplete basic information such as demographic characteristics; Loss to follow-up. 2.Severe kidney disease, severe chronic liver disease, autoimmune diseases, or related disorders; History of hypertension; Missing basic information; Missing key laboratory indicators during early pregnancy; Termination of pregnancy due to social factors or major fetal malformations; Withdrawal from enrollment or loss to follow-up.

Design outcomes

Primary

MeasureTime frame
Preeclampsia (PE);Mean arterial pressure (MAP);Liver Stiffness Measurement (LSM);FIB-4 score;Pre-pregnancy BMI;Gestational hypertension;Hepatic Steatosis Index (HSI);

Countries

China

Contacts

Public ContactZhang Lin

Beijing Obstetrics and Gynecology Hospital, Capital Medical University

zhanglinbjfcyy@ccmu.edu.cn+86 10 5227 3236

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026