Validation of a Composite Medical Device Using a Blood Biomarker-based Algorithm and MDQ for the Diagnosis of Bipolar Disorder

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-65
SponsorUniversity Hospital, Montpellier

About this trial

The goal of this interventional clinical trial is to assess the diagnostic performance of a composite diagnostic medical devise based on blood-based in vitro diagnostic device and Mood Disorder Questionnaire (MDQ) in identifying bipolar disorder among adult patients presenting with a current major depressive episode in primary care. The study will compare the results of the medical device diagnostic test to those of standardized psychiatric clinical evaluation, to evaluate its sensitivity, specificity, and overall clinical utility.

The main research questions are :

* Can the investigational medical device accurately distinguish bipolar disorder from unipolar depression ? * How does its diagnostic accuracy compare with validated psychiatric questionnaires commonly used in clinical practice ?

Participants will :

* Provide a blood sample for biomarker analysis using the investigational diagnostic device. * Complete a few validated psychiatric assessment tools (e.g., MDQ, MINI). * Share sociodemographic and clinical data relevant to psychiatric evaluation.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Cis man, cis woman, trans man, trans woman or non-binary,

Aged 18 to 65 years old,

Meets the DSM-5 criteria for the diagnosis of moderate to severe EDC and is eligible for antidepressant treatment.

Patients under guardianship or trusteeship,

Disqualifiers

Participants will have the right to withdraw their consent at any time for any reason whatsoever without any prejudice to them,

The investigator may prematurely exclude a subject from the study, in agreement with the sponsor, if the subject presents one or more exclusion criteria,

Diagnosis of schizophrenia during follow-up or any other diagnosis that would lead to a change in the initial EDC diagnosis,

Any condition or situation which, in the opinion of the investigator, would be incompatible with the continuation of the study or which would lead to a bias in the management of the data.

Trial design

Design model

Single group

Treatments tested in this trial

  • Venous blood sample for measuring blood biomarkers related to bipolar disorder

    Diagnostic test

    Participants will undergo a venous blood draw for analysis by an investigational composite medical device designed to aid in the diagnosis of bipolar disorder. The device analyzes specific circulating biomarkers hypothesized to differ between patients with bipolar disorder and those with unipolar depression.

  • Standardized psychiatric assessment tools

    Other intervention

    Participants will complete validated psychiatric screening tools used as reference standards to evaluate bipolar disorder, including the Mood Disorder Questionnaire (MDQ). These tools will be used to compare their diagnostic output with that of the investigational blood test.

Treatment groups

623 Participants
are divided into 1 treatment group
Group A: Diagnostic Evaluation ArmExperimental treatment 2 interventions

Trial outcomes

Primary outcomes

1

Sensitivity and specificity of the composite medical device, using the full clinical evaluation as a reference

To assess the sensitivity and specificity of a composite diagnostic device using a biomarker-based algorithm (IL-6, IL-10, IL-15, IL-27, CXCL10), combined with clinical data (age, depression severity via QIDS, psychotropic treatment), to identify bipolar disorder in primary care patients with a depressive episode. The algorithm, developed by the investigators, will be implemented in the eCRF and classify patients as bipolar, non-bipolar, or in a grey zone. The reference diagnosis will be established by an expert psychiatrist using the MINI interview and a full clinical evaluation, including medical history and patient records, following standardized procedures for optimal diagnostic accuracy.

Time frame
Through study completion, an 8 weeks follow-up for each patient

Secondary outcomes

1

Area under the curve

To determine the area under the curve (AUC) of the composite medical device for the diagnosis of bipolar disorder in patients presenting with a characterised depressive episode in primary care with a clinical assessment by an expert psychiatrist as reference.

Time frame
Through study completion, an 8 weeks follow-up for each patient
2

Negative predictive value

To determine the negative predictive value (NPV) of the composite medical device for the diagnosis of bipolar disorder in patients presenting with a characterised depressive episode in primary care with a clinical assessment by an expert psychiatrist as reference.

Time frame
Through study completion, an 8 weeks follow-up for each patient
3

Positive predictive value

To determine the positive predictive value (PPV) of the composite medical device for the diagnosis of bipolar disorder in patients presenting with a characterised depressive episode in primary care with a clinical assessment by an expert psychiatrist as reference.

Time frame
Through study completion, an 8 weeks follow-up for each patient
4

Occurence of hypomanic symptoms

The occurrence of hypomanic symptoms will be determined by comparing the patient's responses to the MDQ at visit n°3 and visit n°5. Any positive response at visit n°5 to a question to which the response was negative at visit n°3 will indicate the occurrence of hypomanic symptoms between visit n°3 and visit n°5; if the number of hypomanic symptoms is greater at visit n°5 than at visit n°3, the patient will be classified in the 'new hypomanic symptoms' group.

Time frame
From inclusion to the last visit at 7/9 weeks later

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University Hospital, Montpellier

Lead sponsor

CH Béziers

Collaborator

Centre Hospitalier Universitaire de Nīmes

Collaborator

Assistance Publique Hopitaux De Marseille

Collaborator

University Hospital, Toulouse

Collaborator

Nantes University Hospital

Collaborator

USSAP Carcassonne

Collaborator

Ajaccio Hospital Center

Collaborator

CH TOULON

Collaborator

CH Thuir

Collaborator

CH Montauban

Collaborator

Centre de Ressources Biologiques de Montpellier

Collaborator

Federation Regionale de Recherche en Psychiatrie et Sante Mentale Occitanie

Collaborator