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Use Logistic regression and decision tree models to identify the influencing factors that lead to postpartum hypertension in patients with hypertensive disorders of pregnancy

Analysis of influencing factors for postpartum hypertension in patients with gestational hypertension based on logistic regression and decision tree model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099103
Enrollment
Unknown
Registered
2025-03-18
Start date
2024-11-19
Completion date
Unknown
Last updated
2025-03-24

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

Conditions

Gestational hypertension,Postpartum hypertension

Interventions

Observation group:None

Sponsors

International Peace Maternal and Child Health Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1.Patients diagnosed with hypertensive disorders during pregnancy. 2.The postpartum follow-up data are complete. 3.Complete medical records and relevant clinical data.

Exclusion criteria

Exclusion criteria: 1.Patients who had already been diagnosed with hypertension before pregnancy. 2.Patients with severe complications or chronic diseases.

Design outcomes

Primary

MeasureTime frame
Systolic blood pressure / Diastolic blood pressure;Predictive performance;Calibration degree;—

Countries

China

Contacts

Public ContactXu Qin

International Peace Maternal and Child Health Hospital

qin_811@163.com+86 21 57451686

Outcome results

None listed

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