Precision Medicine for the Prediction of Treatment (PROMPT) Response (PROMPT)
NCT05537558 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2022-09-13
Summary
Major depressive disorder (MDD) is the most common psychiatric disease worldwide with a huge socio-economic impact. Pharmacotherapy represents the first-line treatment choice; however, only about one third of patients respond to the first trial and about 30% are classified as treatment-resistant depression (TRD). TRD is associated with specific clinical features and genetic/gene expression signatures. To date, single sets of markers have shown limited power in response prediction. The aim of this project is the development of a precision medicine algorithm that would help early detection of non-responder patients, who might be more prone to later develop TRD.
In this phase of the project a naturalistic cohort of 300 MDD patients will be recruited. The data collected will be used to assess, in real-world conditions, the capability of an innovative algorithm (integrating clinical, omics and gender data of other 300 patients con MDD) to predict the treatment outcomes. This project represents a proof-of-concept study. The obtained results will provide information about the feasibility and usefulness of the proposed approach, with the perspective of designing future clinical trials in which algorithms could be tested as a predictive tool to drive decision making by clinicians, enabling a better prevention and management of MDD resistance.
Conditions
Interventions
- DRUG
-
Antidepressant
Antidepressant (AD) monotherapy or complex psychopharmacology such as two ADs or AD plus augmentation (second generation antipsychotics, mood stabilizers, lithium, FT3/FT4). Combination with diverse types of ongoing psychotherapy will be accepted, if commenced prior to baseline
Sponsors & Collaborators
-
University of Cagliari
collaborator OTHER -
Poznan University of Medical Sciences
collaborator OTHER -
University Hospital Muenster
lead OTHER
Principal Investigators
-
Bernhard T. Baune, Professor · University Hospital Muenster
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-09-09
- Primary Completion
- 2023-09-09
- Completion
- 2024-01-09
Countries
- Germany
Study Locations
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