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Behavior of Biomarkers During Pregnancy and Lactation Through a Biological Multi-paradigm Model: BECOME Study Protocol

U

University of Granada (UGR)

Status

Completed

Conditions

Hypertension
Gestational Diabetes
Obesity
Pregnancy

Treatments

Other: BEhavior of biomarkers during pregnanCy and lactatiOn

Study type

Observational

Funder types

Other

Identifiers

NCT02811172
SPID201600X080546IV0

Details and patient eligibility

About

Background Despite of advances in research, at the moment, various points related to the physiology of gestation and the etiology of severe diseases that can be developed in the course of it remain unknown. One of those aspects is the behavior of biomarkers (triglycerides, prolactin, glucose and cholesterol) during pregnancy, which experience a gradual increase in their levels until they reach the peak of hypertriglyceridemia, a few days before delivery. Several studies have reported that biomarkers experience a higher elevation in diabetic and obese pregnant women and in those women who suffer preeclampsia. The description of their behavior in different population of pregnant women (healthy women and women at risk) would identify the relation of these with some of the alterations that occurs more frequently during pregnancy.

Objective The aim of this study is to develop a multi-paradigm biological model of systems to determine triglyceride, prolactin, glucose and cholesterol levels during pregnancy and its relation with lactogenesis in healthy and risk pregnant women.

Methods A prospective cohort study will take place with women during pregnancy and lactation. Participating women will be divided into two groups. One group will be integrated by healthy women and the other group by pregnant women with a risk medical history. The personal, family and a detailed medical history will be collected in each group. A study of all the variables which influence the level of the mentioned biomarkers (triglycerides, cholesterol, glucose and prolactin) will be done.

The universe consists in 4,300 women, who constitute the historical average deliveries during the semester in the city of Granada (Spain). The sample collection will be made in medical office's pregnancy control in Granada's hospitals, in their respective health centers and during the second half of 2015. The sample will be stratified and probabilistic. Peculiarities of pregnant women will be taken into account when calculating the size of the study sample. This sample will be made up of 224 women who comply with the inclusion criteria and that have signed the informed consent.

To achieve the project objectives an organization comprising six theoretical and practical phases enabling the scientific development of the project.

During the first phase, the technical and administrative preparation of the project is constructed. Thereafter, the work is divided into two action areas which encompass the collection and data modeling.

The creation of a biological multi-paradigm computer simulation model of the levels of biomarkers in different months of pregnancy and in the various pathologies of pregnant women can be very effective to know the risks that involve high levels of lipids for the mother and for the baby.

Enrollment

224 patients

Sex

Female

Volunteers

Accepts Healthy Volunteers

Inclusion and exclusion criteria

Exclusion criteria

  • Impossibility to participate in the research.
  • Restrictive pulmonary disease.
  • Cardiac pathology with hemodynamic repercussion.
  • Familiar hyperlipidemia.
  • Multiple pregnancies.

Inclusion criteria

• Pregnant women healthy and with risk that want participate in a voluntary way in the research and sign the informed consent.

Trial design

224 participants in 2 patient groups

Healthy pregnant women
Description:
Healthy pregnant women
Treatment:
Other: BEhavior of biomarkers during pregnanCy and lactatiOn
Risk pregnant women
Description:
Hypertensive, obese and diabetic women
Treatment:
Other: BEhavior of biomarkers during pregnanCy and lactatiOn

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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