Risks for Insulin Resistance and Metabolic Syndrome Between Major Depressive Disorder (MDD) or MDD With Psychotic Features

February 10, 2017 updated by: John D. Matthews, Massachusetts General Hospital

Comparative Risks for Insulin Resistance and Metabolic Syndrome (MS) Among Hospitalized Patients With Major Depressive Disorder With (MDpsy) or Without (MDD) Psychotic Features

Studies have shown that people with certain disorders have an increased risk of developing a condition called Metabolic Syndrome (MS). In this study, the investigators want to learn more about MS among people staying in the hospital for treatment of Major Depressive Disorder (MDD) and also Major Depressive Disorder with Psychotic Features (MDpsy). The investigators also want to learn more about a stress hormone called cortisol that is made in the body. Those who take part in this study will answer some questionnaires, be given some psychiatric interviews, and have some blood taken along with a urine sample.

The investigators believe that patients in the hospital with MDpsy will have higher baseline rates of MS factors, cortisol levels, dexamethasone non-suppression, and insulin resistance, compared with MDD alone.

Study Overview

Detailed Description

Metabolic syndrome (MS) is a combination of medical problems that can increase the risk of heart disease and diabetes in some people. People with MS can have some or all of the following:

  • High blood glucose
  • High blood pressure
  • Abdominal obesity
  • Low levels of high-density lipoprotein (HDL) cholesterol
  • High levels of triglycerides

Some studies have shown that people with certain disorders have a greater risk for developing MS. This may be because of a combination of factors, including but not limited to the type of medications used, age, and whether or not someone smokes. This study will also aim to learn more about a naturally-occurring stress hormone called cortisol that is made in the body.

In order to measure these factors, the following things will occur:

  • administer a number of questionnaires
  • gather information from medical history
  • gather information about current psychiatric mood
  • draw blood and collect a urine sample

To study the amount of cortisol in the body, a dexamethasone suppression test (DST) will be given. This test involves taking a single 1mg pill of dexamethasone, a steroid, and numerous blood draws. Like any drug, it has some risks, however it is unlikely any side effects will occur because of the low dose administered.

Study Type

Observational

Enrollment (Actual)

14

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

    • Massachusetts
      • Boston, Massachusetts, United States, 02114
        • Massachusetts General Hospital

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 85 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Eligible subjects are people who are inpatient in the medical-psychiatric unit at Massachusetts General Hospital. Included subjects have working diagnosis of major depressive disorder (MDD) or major depressive disorder with psychotic features (MDpsy).

Description

Inclusion Criteria:

  • Capable of giving informed consent
  • DSM-IV TR diagnosis of Major Depressive Disorder with (MDpsy) or without (MDD) Psychotic Features
  • Age between 18 and 85, inclusive
  • Pre-existing Hyperlipidemia, Hypertension, and Diabetes must be stable with laboratory and clinical results within acceptable range; with or without medication for three months prior to admission

Exclusion Criteria:

  • DSM-IV TR diagnosis of: schizophrenia, schizoaffective disorder, delusional disorder, bipolar disorder, organic mental disorder, substance use dependence including alcohol, that has been active within the past 6 months, acute bereavement, and psychotic disorder not elsewhere classified
  • Subjects that meet criteria for substance or alcohol dependence more recently than three months prior to entering the study
  • Subjects that meet criteria for substance or alcohol abuse more recently than four weeks prior to entering the study
  • Pregnancy
  • Unstable or inadequately treated pre-existing hyperlipidemia, hypertension, and diabetes
  • Subjects who are involuntarily committed.

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
Major Depressive Disorder
Major Depressive Disorder with Psychotic Features

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The primary measure is any change in fasting insulin from admission to discharge while subjects are inpatient.
Time Frame: Measure fasting insulin at two timepoints; to determine change from baseline (admission) and discharge
To preserve statistical power, we will measure insulin as a continuous variable rather than dichotomizing participants into insulin sensitive vs insulin resistant.
Measure fasting insulin at two timepoints; to determine change from baseline (admission) and discharge

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The first secondary measure is a fasting lipid panel, including fasting total cholesterol, fasting LDL, fasting HDL, and fasting triglycerides; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Fasting glucose will be a separate secondary outcome measure; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Waist Circumference; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Waist circumference will be measured once at admission and once at discharge to determine if any changes have occurred throughout time of inpatient hospitalization
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Urine microalbumin; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
C-reactive Protein; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Homocysteine; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Blood pressure (supine & standing as available)
Time Frame: We will be measuring this continuously throughout inpatient hospitalization, beginning at time of admission
We will be measuring this continuously throughout inpatient hospitalization, beginning at time of admission
Cortisol; we want to measure a change in data from admission to discharge
Time Frame: Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge
Cortisol levels will be measured before and after a dexamethasone suppression test is administered at admission and discharge
Two separate timepoints during inpatient hospitalization; first within 5 days of admission, and second within 72 hours of scheduled discharge

Collaborators and Investigators

This is where you will find people and organizations involved with this 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 (Actual)

January 1, 2011

Primary Completion (Actual)

September 1, 2012

Study Completion (Actual)

September 1, 2012

Study Registration Dates

First Submitted

February 15, 2011

First Submitted That Met QC Criteria

March 4, 2011

First Posted (Estimate)

March 8, 2011

Study Record Updates

Last Update Posted (Actual)

February 13, 2017

Last Update Submitted That Met QC Criteria

February 10, 2017

Last Verified

February 1, 2017

More Information

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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