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Sponsored by: |
Drexel University College of Medicine |
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Information provided by: | Drexel University |
ClinicalTrials.gov Identifier: | NCT00452647 |
The purpose of this study is to observe and analyze variation of diastolic blood pressure measurements at third trimester of pregnancy and when they present for delivery in comparison to healthy volunteers.
When patients present for delivery, we expect blood pressure to be lower than normal. However this is not the case. We aim to determine where this trend occurs throughout to duration of pregnancy, and propose possible explanation as to the source of this event. After discharge, the information recorded includes each patient's blood pressure upon admission to the labor floor, and several blood pressure measurements from prior clinical visits.
Condition |
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Healthy |
Study Type: | Observational |
Study Design: | Cohort, Retrospective |
Official Title: | Comparison of Blood Pressure Throughout Pregnancy |
Ages Eligible for Study: | 18 Years to 40 Years |
Genders Eligible for Study: | Female |
Accepts Healthy Volunteers: | No |
Sampling Method: | Non-Probability Sample |
Population defined as parturients who present for delivery. See Eligibility Criteria.
Inclusion Criteria:
Exclusion Criteria:
Contact: Marcus Zebrower, MD | 215-762-7972 | Marcus.Zebrower@DrexelMed.edu |
United States, Pennsylvania | |
Hahnemann University Hospital | Recruiting |
Philadelphia, Pennsylvania, United States, 19102 | |
Contact: Marcus Zebrower, MD 215-762-7972 Marcus.Zebrower@DrexelMed.edu |
Study Chair: | Jay Horrow, MD | Drexel University College of Medicine |
Responsible Party: | Drexel University College of Medicine ( Marcus Zebrower, MD ) |
Study ID Numbers: | 16807 |
Study First Received: | March 26, 2007 |
Last Updated: | April 6, 2009 |
ClinicalTrials.gov Identifier: | NCT00452647 History of Changes |
Health Authority: | United States: Institutional Review Board |
Condition: No specific disease is being studied, few procedures are excluded. Focus: To obtain blood pressure data and detect any trends to a statistically significant degree. |
Healthy |