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NCT01840618 · ClinicalTrials.gov registry record

Effect of Obstructive Sleep Apnea Syndrome on Insulin Sensitivity and Cardiovascular Risk in PCOS Adolescents

A clinical trial, sponsored by Albert Einstein College of Medicine.

Completed
Registry status
50
Enrollment target

NCT01840618 is a clinical trial that has completed, run by Albert Einstein College of Medicine. The registered enrollment target is 50 participants.

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The verdict

NCT01840618 has completed, sponsored by Albert Einstein College of Medicine.

COMPLETED
Registry status
50 participants
Enrollment target

Study Summary

Polycystic ovary syndrome (PCOS) is one of the most common disease caused by hormonal imbalance and is also associated with overweight and obesity. It affects 5-10% of adolescent girls and women capable of having children. Polycystic ovary syndrome is associated with missed menstrual periods, hormonal imbalance, being overweight, and with a form of diabetes. Girls with polycystic ovary syndrome may have a breathing problem known as "sleep apnea." Sleep apnea may cause a person to stop breathing for short periods of time while sleeping. People with polycystic ovary syndrome are thirty times more likely to develop sleep apnea than those who do not have PCOS. If sleep apnea is not treated, it may lead to daytime sleepiness, poor school performance, high blood pressure, heart disease and diabetes. The purpose of this study is to understand how insulin function is affected in presence of sleep apnea in girls with polycystic ovary syndrome between 13-21 years of age as compared to girls with PCOS without sleep apnea. Insulin is one of the hormones made in your body to convert food into energy. In people with increase weight body cannot use insulin properly. The investigators also want to see if insulin action is also affected by sleep apnea.

Interventions

  • DEVICE Nasal Continuous positive airway pressure (CPAP)

Trial Details

FieldValue
Enrollment Target 50 participants
Start Date 2012-02
Est. Completion 2015-06

Sponsor

Albert Einstein College of Medicine

175 total trials

What the Registry Record Tells You About NCT01840618

The ClinicalTrials.gov registry entry for NCT01840618 describes a study currently listed as completed, categorized as an unspecified phase. The registered enrollment target is 50 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Albert Einstein College of Medicine, which has 175 total studies on file at ClinicalTrials.gov.

The record links to 0 conditions, and to 1 intervention - of which Nasal Continuous positive airway pressure (CPAP) is the first listed.

NCT01840618 reports 0 study locations.

Frequently Asked Questions

What is clinical trial NCT01840618 about?

NCT01840618 is a clinical study titled "Effect of Obstructive Sleep Apnea Syndrome on Insulin Sensitivity and Cardiovascular Risk in PCOS Adolescents". Polycystic ovary syndrome (PCOS) is one of the most common disease caused by hormonal imbalance and is also associated with overweight and obesity. It affects 5-10% of adolescent girls and women capable of having children. Polycystic ovary syndrome is associated with missed menstrual periods, hormon...

What is the current status of trial NCT01840618?

This trial is currently completed. The enrollment target is 50 participants. The study started on 2012-02. Estimated completion is 2015-06.

What interventions are being tested in trial NCT01840618?

The interventions under investigation include: Nasal Continuous positive airway pressure (CPAP) (DEVICE).

Who is sponsoring clinical trial NCT01840618?

This trial is sponsored by Albert Einstein College of Medicine, which has 175 total clinical trials registered on ClinicalTrials.gov.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.