ClinicalTrials.Veeva

Menu

Threatened Preterm Birth and Time of Subsequent Delivery -a Prediction Model

L

Linköping University (LiU)

Status

Completed

Conditions

Immunologic Activity Alteration
Preterm Birth

Study type

Observational

Funder types

Other

Identifiers

NCT03796949
960624abc

Details and patient eligibility

About

This study investigates immunological and clinical markers in threatened preterm birth aiming to create a prediction model for preterm birth.

Full description

Preterm birth is the main cause of neonatal mortality and morbidity and despite a lot of effort the mechanisms leading to preterm birth are poorly understood. In threatened preterm birth it is difficult to identify the true high risk cases ultimately leading to preterm birth. These women are often overtreated.

In this study blood samples are taken from women with threatened preterm birth and from women with normal pregnancies before and during labor.

Differences in clinical characteristics and immunological markers between the groups are studied in order to design a prediction model for preterm birth.

Enrollment

204 patients

Sex

Female

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Threatened preterm birth before 34 weeks of gestation; either threatened preterm labor and/or preterm prelabor rupture of the membranes
  • Age > 18 years
  • Swedish-speaking (understanding study information)

Exclusion criteria

  • Multiple gestation
  • Blood borne infections

Trial design

204 participants in 2 patient groups

threatened preterm birth
Description:
Women with either preterm labor or preterm prelabor rupture of the membranes. Blood samples taken at time of inclusion in the study.
Controls
Description:
Women with normal pregnancies. Blood samples taken at time of inclusion in the study, either prelabor (during pregnancy) or during active phase of labor.

Trial contacts and locations

0

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems