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Research on the risk prediction model of stress urinary incontinence during pregnancy based on machine learning

Research on the risk prediction model of stress urinary incontinence during pregnancy based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100844
Enrollment
Unknown
Registered
2025-04-16
Start date
2025-04-18
Completion date
Unknown
Last updated
2025-04-21

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

Conditions

Stress urinary incontinence during pregnancy

Interventions

Groups were grouped according to the presence or absence of stress incontinence:no

Sponsors

Quanzhou First Hospital Affiliated to Fujian Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. maternal, fetal head position; 2. willing to participate in the study; 3. No previous urinary system infection and kidney disease; 4. No previous pelvic surgery history; 5. The overall cognitive function was normal.

Exclusion criteria

Exclusion criteria: 1. Irregular prenatal examination; 2. visual or hearing impairment; 3. Excluding patients with other factors that may cause voiding disorders; 4. It has obvious physiological defects and major diseases.

Design outcomes

Primary

MeasureTime frame
Risk factor assessment;Degree of model fit;—

Secondary

MeasureTime frame
Incidence of stress urinary incontinence;—

Countries

China

Contacts

Public ContactKang Liping

Quanzhou First Hospital Affiliated to Fujian Medical Un

823984547@qq.com+86 187 5041 6707

Outcome results

None listed

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