Vitamin D for the Treatment of Women With Polycystic Ovary Syndrome (PCOS)

November 20, 2017 updated by: Nazia Raja-Khan, Milton S. Hershey Medical Center

Vitamin D Supplementation in Polycystic Ovary Syndrome: a Randomized Controlled Trial.

The purpose of this study is to determine if vitamin D will improve insulin resistance, inflammation, and overall well-being in women with PCOS.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

As many cells throughout the body possess the vitamin D receptor, adequate vitamin D levels may be essential for multiple physiologic functions. In recent years, vitamin D insufficiency has been linked to insulin resistance, inflammation, poor psychological health, obesity, type 2 diabetes, and cardiovascular disease - these are also commonly found in women with Polycystic Ovary syndrome (PCOS). We believe that vitamin D insufficiency contributes to insulin resistance, inflammation, and psychological distress in women with PCOS. These adverse effects may ultimately increase the risk for serious long-term complications in PCOS, including type 2 diabetes and cardiovascular disease. The key objectives of this research study are to determine the effects of vitamin D supplementation on insulin resistance, inflammation, mood and overall well-being in women with PCOS.

The protocol has been modified by adding the following specific aim: To compare vascular function in healthy age and BMI similar matched women to PCOS women pre-treatment. Our hypothesis is that PCOS women will have greater attenuations in retinal vascular reactivity compared to healthy control women, demonstrating poorer endothelial function. We are currently recruiting healthy women who are age and BMI similar to the PCOS women and measure their retinal vascular reactivity for comparisons to the PCOS women's pre-treatment vascular reactivity. These healthy women will only have a baseline visit in which retinal vascular reactivity will be measured. They will not be enrolled in the placebo or Vitamin D randomization process as described above.

Study Type

Interventional

Enrollment (Actual)

36

Phase

  • Phase 2
  • Phase 1

Contacts and Locations

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

Study Locations

    • Pennsylvania
      • Hershey, Pennsylvania, United States, 17033
        • Penn State College of Medicine, Penn State Milton S Hershey Medical Center

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

18 years to 45 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Description

Inclusion Criteria:

  • Diagnosis of PCOS based on:

    • Eight or fewer menstrual periods per year or spontaneous intermenstrual periods of greater than or equal to 45 days, and
    • Elevated testosterone levels

Exclusion Criteria:

  • Current Pregnancy or Nursing
  • Elevated calcium
  • Kidney Stones or kidney disease
  • Current use of vitamin D (other than a multivitamin)
  • Use of metformin or other insulin sensitizing drugs in the last 3 months
  • Elevated prolactin or untreated thyroid disease
  • Diabetes, Liver disease, Heart disease, or other serious medical condition

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

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Placebo Comparator: Placebo
Placebo by mouth once daily for 12 weeks
Experimental: Vitamin D
Vitamin D 300 mcg by mouth once daily for 12 weeks

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change From Baseline in Mean Quantitative Insulin Sensitivity Check Index (QUICKI)
Time Frame: Baseline and 12 weeks
Quantitative insulin sensitivity check index (QUICKI) is a validated measure of insulin sensitivity based on fasting insulin and glucose. Quantitative insulin sensitivity check index (QUICKI) = 1/[log(I(0)) + log(G(0))]).
Baseline and 12 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change From Baseline in Mean High Sensitive C-reactive Protein (hsCRP)
Time Frame: Baseline and 12 weeks
High sensitive C-reactive protein (hsCRP) was assessed as a measure of inflammation.
Baseline and 12 weeks
Change From Baseline in Mean Systolic Blood Pressure
Time Frame: Baseline and 12 weeks
Blood pressure was measured in the right arm in the sitting position after a 15-minute rest.
Baseline and 12 weeks
Change From Baseline in Mean Diastolic Blood Pressure
Time Frame: Baseline and 12 weeks
Blood pressure was measured in the right arm in the sitting position after a 15-minute rest.
Baseline and 12 weeks
Change From Baseline in Mean Fasting Glucose
Time Frame: Baseline and 12 weeks
Glucose was assessed after 12 hours of fasting.
Baseline and 12 weeks
Change From Baseline in Mean Fasting Insulin
Time Frame: Baseline and 12 weeks
Insulin was assessed after 12 hours of fasting.
Baseline and 12 weeks
Change From Baseline in Mean 2-hour Glucose
Time Frame: Baseline and 12 weeks
Participants underwent a 75-gram oral glucose tolerance test, in which blood samples for glucose and insulin were obtained at 0 and 2 hours and used to calculate the insulin sensitivity index (ISI 0,120).
Baseline and 12 weeks
Change From Baseline in Mean 2-hour Insulin
Time Frame: Baseline and 12 weeks
Participants underwent a 75-gram oral glucose tolerance test, in which blood samples for glucose and insulin were obtained at 0 and 2 hours and used to calculate the insulin sensitivity index (ISI 0,120).
Baseline and 12 weeks
Change From Baseline in Mean Insulin Sensitivity Index (ISI 0,120)
Time Frame: Baseline and 12 weeks
Participants underwent a 75-g oral glucose tolerance test, in which blood samples for glucose and insulin were obtained at 0 and 120 minutes and used to calculate the insulin sensitivity index (ISI0,120). The ISI 0,120 = the glucose uptake rate divided by the mean plasma glucose divided by the log(mean serum insulin).
Baseline and 12 weeks
Change From Baseline in Mean Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)
Time Frame: Baseline and 12 weeks
Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) is a validated measure of insulin resistance based on fasting insulin and glucose. HOMA-IR is calculated as the product of fasting glucose and insulin divided by 22.5.
Baseline and 12 weeks
Change From Baseline in Mean Total Cholesterol
Time Frame: Baseline and 12 weeks
Lipid profile was assessed after 12 hours of fasting.
Baseline and 12 weeks
Change From Baseline in Mean HDL Cholesterol
Time Frame: Baseline and 12 weeks
Lipid profile was assessed after 12 hours of fasting.
Baseline and 12 weeks
Change From Baseline in Mean LDL Cholesterol
Time Frame: Baseline and 12 weeks
Lipid profile was assessed after 12 hours of fasting.
Baseline and 12 weeks
Change From Baseline in Mean Triglycerides
Time Frame: Baseline and 12 weeks
Lipid profile was assessed after 12 hours of fasting.
Baseline and 12 weeks
Change From Baseline in Mean Total Testosterone
Time Frame: Baseline and 12 weeks
Total and free testosterone levels were assessed from blood samples to evaluate effects on hyperandrogenemia in PCOS.
Baseline and 12 weeks
Change From Baseline in Mean Free Testosterone
Time Frame: Baseline and 12 weeks
Total and free testosterone levels were assessed from blood samples to evaluate effects on hyperandrogenemia in PCOS.
Baseline and 12 weeks

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change From Baseline in Mean 25-hydroxyvitamin D
Time Frame: Baseline and 12 weeks
Total 25-hydroxyvitamin D was assayed by the Immunodiagnostic Systems radioimmunoassay.
Baseline and 12 weeks
Change From Baseline in Mean Vitamin D Binding Protein
Time Frame: Baseline and 12 weeks
Vitamin D binding protein levels were assessed as it has been linked with insulin resistance and type 2 diabetes.
Baseline and 12 weeks
Change From Baseline in Mean Intact Parathyroid Hormone (i-PTH)
Time Frame: Baseline and 12 weeks
Intact parathyroid hormone levels were assessed as they have been linked with obesity and insulin resistance.
Baseline and 12 weeks

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Nazia Raja-Khan, M.D., Penn State College of Medicine, Penn State Milton S. Hershey Medical Center

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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

May 1, 2009

Primary Completion (Actual)

February 1, 2014

Study Completion (Actual)

September 1, 2014

Study Registration Dates

First Submitted

May 21, 2009

First Submitted That Met QC Criteria

May 21, 2009

First Posted (Estimate)

May 22, 2009

Study Record Updates

Last Update Posted (Actual)

December 19, 2017

Last Update Submitted That Met QC Criteria

November 20, 2017

Last Verified

November 1, 2017

More Information

Terms related to this study

Other Study ID Numbers

  • 29714

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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