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Research focussed on developing a risk prediction models for pre-eclampsia to enhance early identification in pregnancies, particularly tailored for Indian population.

Validation of performance of multiparametric risk prediction models for preeclampsia in early pregnancy and determination of the best fit model for Indian Population - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/09/074219
Enrollment
1139
Registered
2024-09-24
Start date
Unknown
Completion date
Unknown
Last updated
2024-10-14

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

Conditions

Health Condition 1: O14- Pre-eclampsia

Interventions

Intervention1: Nil: Nil

Sponsors

All India Institute of Medical Sciences New Delhi
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: More than 14 weeks of pregnancy Willing to be a part of the study

Exclusion criteria

Exclusion criteria: 1. women not willing to give consent

Design outcomes

Primary

MeasureTime frame
Pre-eclampsiaTimepoint: At 20 weeks or more period of gestation—

Secondary

MeasureTime frame
1. To evaluate the performance of maternal history-based prediction models (in the Indian population 2) To calibrate the risk prediction model for selecting the high-risk group that could benefit from the prophylactic use of aspirin in the Indian population for singleton pregnanciesTimepoint: During and end of pregnancy—

Countries

India

Contacts

Public ContactK Aparna Sharma

All India Institute of Medical Sciences, New Delhi

kaparnasharma@gmail.com9711824415

Outcome results

None listed

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