Major Depressive Disorder: Early Prediction of Non-response to Antidepressant Therapy Via a Mobile Digital Scale

NCT03872492 · Status: TERMINATED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 92

Last updated 2023-03-03

No results posted yet for this study

Summary

Major Depressive Disorder (MDD) is a debilitating disease characterized by a depressed mood, diminished interests, impaired cognitive function and vegetative symptoms, such as disturbed sleep or appetite. MDD occurs about twice as often in women than it does in men and affects about 6% of the adult population worldwide each year.

Standard symptoms scales like the Hamilton Depression Rating Scale or the Montgomery-asberg Depression Rating Scale, the Self-Report 16-item Quick Inventory of Depressive Symptomatology were initially developed for the evaluation of a therapeutic intervention or a pharmacological treatment and are routinely used by clinicians in the assessment of Treatment Resistant Depression (TRD) occurrence. In parallel, patient-reported outcomes have gained increasing importance and are widely recommended by health authorities in the assessment of depression. The same institutions insist on the collection of real-world data to provide clinicians with ecological measurements. It has been demonstrated that an early response to an AntiDepressant (AD) treatment can be seen as early as week 2 and is not related to a placebo-effect. While there is no consensus on the exact cut-off values, several factors emerge as early predictors of a later treatment response, such as:

* Improvement in emotional processing of happy facial expressions after 1 week of treatment,
* Circa 20% improvement in Hamilton Depression Rating Scale-17 item (HDRS-17) at week 2. The hypothesis is therefore that repeated, systematic and real-time, contextualized and multimodal collection of depressive symptoms from patients at home will establish a threshold score that can predict a subsequent response to their treatment.

REDRESS was inspired by several standard depression scales used and recommended by the French Health Authority, augmented with digital active and passive activity monitoring, speech analysis and emotional processing assessment. Another important assumption is that honesty and willingness to disclose personal or embarrassing things will be best achievable via a digital solution.

To test this assumption, the overall scores and each subscores on the REDRESS numerical scale will be compared in people with MDD showing adequate response to those showing insufficient response.

The response to treatment at week 6 will be studied (end of Phase 1). Non-responders and responders to the first treatment round will be enrolled in a 6-week extension phase (Phase 2). Non-responders will receive another treatment course (Other AD, combination, etc.). Responders will just be followed up and will keep the same treatment. The REDRESS scores will be analysed in this population and will allow us to test the investigator's assumption in people with treatment resistant depression. This study will also allow to assess patients' quality of life at the end of each phase of treatment and to compare results with REDRESS scores.

Conditions

  • Depressive Disorder, Major

Interventions

OTHER

Digital Assessment on mobile

The digital assessment is composed on 5 tests: * "My daily survey" * "My evaluation" * "My cognition" * "My emotions" * "My voice" Data will also be collected passively.

Sponsors & Collaborators

  • Ad scientiam

    lead OTHER

Principal Investigators

  • Bruno MILLET, Prof · Pitié-Salpêtrière Hospital

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-10-17
Primary Completion
2022-12-29
Completion
2022-12-29

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03872492 on ClinicalTrials.gov