Are There Sleep-related Factors That Contribute to an Increased Incidence of Pre-eclampsia at Altitude?

November 20, 2024 updated by: David Patz, University of Colorado, Denver

Are There Sleep-related Factors That Contribute to an Increased Incidence of Pre-eclampsia

Women at altitude have an increased incidence of pre-eclampsia. Populations at altitude have a greater incidence of sleep apnea. And women with sleep apnea are at increased risk of developing preeclampsia. This research project will recruit for home sleep testing: healthy pregnant women at altitude (Summit County , Colorado at 9000 ft.), and women with preeclampsia at altitude, in order to learn whether either sleep apnea or nocturnal hypoxemia is more common or more severe in women with preeclampsia, than in healthy women at altitude. In addition a healthy co-hort of pregnant women will be studied at sea level, to compare to the healthy cohort of pregnant woman in Summit County, to learn to degree that this difference in altitude effects the severity of sleep apnea and hypoxemia.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

It is known that high altitude increases the risk of preeclampsia and small for gestational age births. Our questions are: 1). Is sleep apnea during pregnancy more common and/or more severe at altitude? And 2) Do the women who develop preeclampsia at altitude have more severe sleep apnea, or worse hypoxemia during sleep, than the women at altitude who do not develop preeclampsia. We will perform WatchPAT-one home sleep tests (PAT = peripheral arterial tonometry) on up to 20 pregnant women in Summit County Colorado (>9000 ft.elevation) who develop preeclampsia during pregnancy (soon after diagnosis), and also on up to 20 pregnant healthy women in Summit County, and 20 healthy pregnant women in Baltimore (at sea level). These healthy pregnant women in Summit County and Baltimore will be selected from volunteer participants, to best match age, pre-pregnancy BMI, and race with individuals in Summit County who are studied with preeclampsia and they will be studied at the gestational timing that matches their Summit County preeclampsia matching subject. In addition to the up to 20 healthy pregnant subjects at Summit County and 20 in Baltimore, who match the preeclampsia subjects, we will recruit up to 20 more in Summit County and 20 more in Baltimore, to study specifically in the 33rd or 34th gestational week, to improve our ability to evaluate the effects of altitude on sleep apnea, during pregnancy. Information on the births, including height and weight and apgar scores will be assessed, in part to see whether sleep apnea during pregnancy affects outcomes. All sleep studies will be scored at the JHH (Johns Hopkins Hospital) Bayview sleep lab's Center for Interdisciplinary Sleep Research and Education.

Study Type

Observational

Enrollment (Estimated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

pregnant women, age 15-35, some who are healthy, and some who have developed preeclampsia.

Description

Inclusion Criteria: pregnant, age 18-35, possession of, or availablitiy of using a cell phone.

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Exclusion Criteria: for the control group the following are exclusion criteria: hypertension, known sleep apnea, asthma requiring daily inhaler use, other lung disease, diabetes

For the group who are recruited at the time of diagnosis of pre-eclampsia - hypertension is not an exclusion criteria.

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Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
pregnant with pre-eclampsia at altitude (Cohort 1)

Pregnant women at High Country Obstetric Clinic in Summit County Colorado (about 9000 ft.) who develop pre-eclampsia.

Home sleep testing with Watch PAT-one will be done soon after diagnosis of pre-eclampsia.

Up to 20 in this cohort

Each participant will have a Watch-PAT one home sleep test, recording pulse oximetry, pulse tonometry, wrist actigraphy, snoring (by microphone), and chest motion by accelerometer.
healthy pregnant women at altitude (Cohort 2)

Pregnant healthy women at High Country Obstetric Clinc in Summit County Colorado will also be studied with the Watch PAT-one home sleep test..

Up to 20 will be chosen to match the subjects, 1 by 1, in cohort 1, regarding gestational time of the home sleep test, and match age, pre-pregnant BMI, and race as best as available of the volunteered subjects. Up to another 20 pregnant healthy women at altitude may be recruited, not matching a subject in cohort 1, to have Watch PAT-one home sleep testing in the 33rd to 34th week of pregnancy.

Each participant will have a Watch-PAT one home sleep test, recording pulse oximetry, pulse tonometry, wrist actigraphy, snoring (by microphone), and chest motion by accelerometer.
healthy pregnant women at sea level (Cohort 3)
Up to 40 healthy pregnant women at sea level, in vicinity of Baltimore, will be recruited to have Watch PAT-one home sleep testing, matching the subjects in cohort 2 regarding gestational time of testing, Race, Age and pre-pregnant BMI as best as available.
Each participant will have a Watch-PAT one home sleep test, recording pulse oximetry, pulse tonometry, wrist actigraphy, snoring (by microphone), and chest motion by accelerometer.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Apnea-Hypopnea index 4%
Time Frame: in a single full night recording
number of apneas and hypopneas dropping oxygen saturation 4%, per hour
in a single full night recording

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Apnea-Hypopnea Index 3%
Time Frame: in a single full night recording
number of apneas and hypopneas dropping oxygen saturation 3%, per hour
in a single full night recording
Central Apnea-Hypopnea Index 4%
Time Frame: in a single full night recording
number of central apnea or hypopnea events dropping oxygen saturation 4%, per hour
in a single full night recording
Central Apnea Hypopnea Index 3%
Time Frame: in a single full night recording
number of centrap apnea or hypopnea events dropping oxygen saturation 3%, per hour
in a single full night recording
Mean Oxygen Saturation during sleep
Time Frame: averaged through one full night recording
the average oxygen saturation
averaged through one full night recording
Lowest oxygen saturation during sleep
Time Frame: during one full night recording
the single lowest oxygen saturation measured
during one full night recording
Time (in minutes) with oxygen saturation below 89%
Time Frame: during one full night recording
as above
during one full night recording
Time (in minutes) with oxygen saturation below 85%
Time Frame: during one full night recording
as above
during one full night recording
percentage of babies small for gestational age
Time Frame: measurements made at birth. Correlations will be determined at completion of research study
length weight and gestational age will be considered for each baby, to determine if it is small for gestational age. comparison will be made between cohorts. But also, analysis to determine is AHI correlated with "small for gestational age"
measurements made at birth. Correlations will be determined at completion of research study
Apgar at 1 minute
Time Frame: Measurement, 1 minute after birth. Correlations will be determined at completion of research study.
This will be looked at for correlation with the AHI, along with the usual comparison between cohorts
Measurement, 1 minute after birth. Correlations will be determined at completion of research study.
Apgar at 5 minutes
Time Frame: Measurement, 5 minutes after birth. Correlations will be determined at completion of research study
This will be looked at for correlation with the AHI, along with the usual comparison between cohorts.
Measurement, 5 minutes after birth. Correlations will be determined at completion of research study

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Study Chair: Cynthia Argani, MD, Johns Hopkins Hospital OB-GYN

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 1, 2025

Primary Completion (Estimated)

April 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

November 20, 2024

First Submitted That Met QC Criteria

November 20, 2024

First Posted (Estimated)

November 25, 2024

Study Record Updates

Last Update Posted (Estimated)

November 25, 2024

Last Update Submitted That Met QC Criteria

November 20, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

The data will likely be shared. The precise mechanism of sharing the data is not yet determined.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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