Bipolar Proteomic Assay Validation Study
Status: | Active, not recruiting |
---|---|
Conditions: | Depression, Depression, Major Depression Disorder (MDD), Psychiatric |
Therapuetic Areas: | Psychiatry / Psychology, Pulmonary / Respiratory Diseases |
Healthy: | No |
Age Range: | 18 - 70 |
Updated: | 3/9/2019 |
Start Date: | March 2016 |
End Date: | March 2019 |
A Validation Study to Measure the Impact of a Proteomic Assay in Distinguishing Bipolar I Disorder, Bipolar II Disorder, and Major Depressive Disorder in People Presenting With a Major Depressive Episode
The purpose of this study is to validate a set of signatures, based on a panel of proteomic
markers, that discriminate BDI, BDII, and MDD in people seeking treatment for a depressive
episode.
markers, that discriminate BDI, BDII, and MDD in people seeking treatment for a depressive
episode.
This is a hypothesis-driven confirmatory study to validate the diagnostic signature (model)
for distinguishing BDI from MDD that also aims to optimize the models to discriminate BDII
from MDD and BDI. A binary classification model, using linear discriminant analysis and based
on 13 a priori-defined proteomic markers will aim to distinguish BDI from MDD. An alternative
binary classification model based on multiple logistic regression and using 10 a priori
-defined proteomic markers will aim for the same result. To improve the predictive
performance of the signatures, items from self-report mood rating scales and
treatment-emergent changes in proteomic markers will be analyzed. In addition, the study will
examine if baseline or early treatment-emergent changes in proteomic markers predict
treatment response.
for distinguishing BDI from MDD that also aims to optimize the models to discriminate BDII
from MDD and BDI. A binary classification model, using linear discriminant analysis and based
on 13 a priori-defined proteomic markers will aim to distinguish BDI from MDD. An alternative
binary classification model based on multiple logistic regression and using 10 a priori
-defined proteomic markers will aim for the same result. To improve the predictive
performance of the signatures, items from self-report mood rating scales and
treatment-emergent changes in proteomic markers will be analyzed. In addition, the study will
examine if baseline or early treatment-emergent changes in proteomic markers predict
treatment response.
Inclusion Criteria:
- Diagnosed with BDI, BDII, or MDD, confirmed with the Structured Clinical Interview for
DSM-5 (SCID).
- Currently depressed for ≥4 weeks and ≤104 weeks, without psychotic features,
- MADRS score ≥ 20 (consistent with at least moderately-severe depression)
- YMRS score ≤ 8 (consistent with the absence of hypomanic symptoms)
Exclusion Criteria:
- At high risk for suicide, defined as a score ≥4 on item 10 of the MADRS
- Current depression has psychotic features, diagnosed with the SCID
- Meeting criteria for severe alcohol, cannabis, or THC use disorders, as defined by
DSM-5 and confirmed by the SCID, in the past 3 months, or meeting criteria for other
substance use disorders of any severity (eg. cocaine use disorder). For substances
other than alcohol, cannabis, and opioids, a positive drug screen at both the
screening and baseline visits is also exclusionary. Caffeine and nicotine use
disorders of any severity will not be exclusionary.
- Diagnosis of borderline personality disorder, diagnosed with the Zanarini Rating Scale
for Borderline Personality Disorder.
- Medical conditions with neurological sequelae (eg. stroke, brain cancer, multiple
sclerosis, loss of consciousness > 30 min, HIV)
- Severe chronic pain, at the discretion of the investigator
- Receiving treatment with high-potency immune-modulating medications, such as
corticosteroids, chemotherapy, monoclonal antibodies, or disease-modifying agents for
arthritis, multiple sclerosis
- Any acute unstable medical illness (at the discretion of the site investigator)
- In MDD patients: strong risk factors for bipolarity, including 1) short (1-3 day) mood
elevations not meeting DSM-5 time criteria for hypomania; 2) a family history of BDI
or BDII in a first-degree relative; and 3) a history of antidepressant-induced
symptoms suggestive of bipolarity, particularly antidepressant-induced hypo/mania.
We found this trial at
5
sites
Pittsburgh, Pennsylvania 15213
Principal Investigator: Holly Swartz, MD
Phone: 412-246-5764
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Iowa City, Iowa 52242
Principal Investigator: Jess G. Fiedorowicz, MD, PhD
Phone: 319-384-9267
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Mason, Ohio 45040
Principal Investigator: Susan L. McElroy, MD
Phone: 513-536-0720
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Minneapolis, Minnesota 55414
Principal Investigator: David J. Bond, MD, PhD
Phone: 612-626-6773
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San Antonio, Texas 78229
Principal Investigator: Melissa Martinez, MD
Phone: 210-567-0780
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