FindTrial
Sign In

Machine Learning–Based Prediction Model for Post-Cesarean Quality of Life Decline in Female Patients With Heart Disease: A Retrospective Cohort Study

Analysis of Risk Factors for Adverse Events in Pregnancy Combined with Heart Disease and Establishment and Validation of a Prediction Model for Broussonetia Papyrifera

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500111831
Enrollment
Unknown
Registered
2025-11-06
Start date
2024-12-11
Completion date
Unknown
Last updated
2025-11-11

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

Conditions

Pregnancy combined with heart disease

Interventions

Pregnant patients with concomitant heart disease who have undergone previous cesarean section surgery:none

Sponsors

Fujian Medical University Union Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: Age is greater than or equal to 18 years old. Diagnosed as PWHD according to the 2018 European Society of Cardiology guidelines. Complete clinical data is available, including preoperative examinations, surgical records, cardiac-related indicators, etc.

Exclusion criteria

Exclusion criteria: 1. History of mental illness, currently or previously using psychiatric medications; 2. Coexisting diseases of the immune system, kidneys, or respiratory system; 3. Incomplete clinical data or lost to follow-up.

Design outcomes

Primary

MeasureTime frame
Quality of life;Adverse event;—

Countries

China

Contacts

Public ContactYing He

Fujian Medical University Union Hospital

hyybjyz@163.com+86 159 6002 5252

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026