- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06613334
Voice-Based Biomarkers: a Novel Approach to Monitoring and Predicting Schizophrenia Relapses (OBSERVSPEECH)
Automatic Measurement of Antipsychotic Medication Adherence in Schizophrenia Through Speech (OBSERVSPEECH)
Study Overview
Status
Conditions
Detailed Description
Schizophrenia is a highly complex disease of unknown origin. It is characterized by a heterogeneous etiology and variable clinical manifestations. Numerous studies have investigated genetic, biochemical or neurodevelopmental factors of the pathology, without providing a definitive answer. The environmental factor is also analyzed, especially urban density and pollution. Finally, the immune pathway, in particular neuroinflammation, has been studied. Certain parasites, such as Toxoplasma, may be involved in the development of schizophrenia in combination with genetic factors. All these studies tend to show that the parasite/gene/environment association would influence the development of schizophrenia, but the origins remain unclear and a more complete knowledge of the pathophysiology is needed to improve diagnosis and patient management through new therapeutic targets.
More than 80% of patients with schizophrenia have language abnormalities. These abnormalities are manifested in syntax, semantics and phonology. The most common include monotonous intonation, poverty of speech, increased pauses, lack of spontaneity, and disruption of speech coherence. As speech is an important factor in social interaction, patients have great difficulty in maintaining their social relationships.
A major problem in schizophrenia is the discontinuation or misuse of antipsychotic treatment, which leads to relapse and additional hospital costs. According to a 2013 study, 50% of patients discontinue treatment after six months, often leading to decompensations.To avoid relapses, clinicans can either administer hetero-questionnaire to monitor the patients' symptoms or monitor treatment adherence.
To monitor symptoms, clinicians have at their disposal various standardized questionnaires such as the PAANS. However, those tests are time-intensive.
To monitor treatment adherence, clinicians can use blood drug concentrations as an evidence of compliance, although this method is invasive, and requires costly administration coordination between healthcare profesionnals and patients. There are also several standardized tests to monitor adherence, such as the clinician-administered BARS questionnaire and the self-administered BEMIB. These measures have often been criticized due to factors such as recall bias and poor self-perception, which limit the accuracy of patient reports and overestimate adherence.
It is therefore essential to develop new tools to objectively measure evolution of symptoms and treatment effects to detect onset of relapses, without increasing the burden on patients' daily lives.
Speech voice markers stand out because they have characteristics that make it easy to use in clinical practice and can be easily integrated into patients' daily lives. Advances in signal processing and machine learning algorithms now make it possible to measure the different components of speech: phonatory skills, articulation, the different linguistic levels (semantics, syntax, morphology, pragmatics) as well as the specific disfluencies of spontaneous speech.
These different speech markers have been validated in different neurological and psychiatric pathologies: in particular, Parkinson's disease, Huntington's disease, depression, suicidal risk, and schizophrenia. These markers of speech in psychiatry are now generalizing across languages and are also being taken into patients' homes to measure changes in patient states.
Distinctive voice characteristics have been a feature of schizophrenia since it was first defined. They are often associated with negative symptoms, such as the inability to show emotion, and with observed social impairments. It has been quantitatively observed that people with schizophrenia have poorer speech, more pauses, distinctive tones, and differences in voice intensity.
Studies have shown antipsychotics also affect language, since patients are dopamine-deficient, and blockade of these receptors by antipsychotics would exacerbate language impairments. In addition, blockade of the striatal dopamine receptor leads to extrapyramidal side effects, causing tremors, muscle rigidity, and tics that interfere with the joint movements required for speech.
Therefore, voice and language are very good candidates as biomarkers in monitoring both symptoms and treatment effects in schizophrenia to detect onsets of relapses.
The aim of this study is to determine whether voice biomarkers can be used to objectively monitor symptoms and treatment effects in schizophrenia in order to detect onset of relapses.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Pierre De Maricourt, Dr
- Phone Number: +(33) (0)1 45 65 86 91
- Email: P.DEMARICOURT@ghu-paris.fr
Study Contact Backup
- Name: Philippe Domenech, Pr
- Phone Number: +(33) (0)1 49 81 22 01
- Email: philippe.domenech@ghu-paris.fr
Study Locations
-
-
-
Paris, France, 75014
- Not yet recruiting
- Groupe Hospitalo-Universitaire Paris Psychiatrie & Neurosciences
-
Contact:
- Pierre De Maricourt, Dr
- Phone Number: +33 01 45 65 86 91
- Email: P.DEMARICOURT@ghu-paris.fr
-
Paris, France, 75014
- Recruiting
- Groupe Hospitalo-Universitaire Paris Psychiatrie et Neurosciences, Paris
-
Contact:
- Pierre De Maricourt, Dr
- Phone Number: +33145658941
- Email: P.DEMARICOURT@ghu-paris.fr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Affiliated to a social security or other social protection scheme
- Diagnosed with schizophrenia according to the DSM-5 (code F20)
- Stable state without duration criteria
- Main treatment with risperidone or paliperidone, aripiprazole, olanzapine in oral or long-acting injectable form
- Complementary treatment with an antipsychotic for anxiolytic or sedative purposes: chlorpromazine, loxapine or cyamemazine
- Able to speak and read French
- Able to perform speech evaluations
- Able to answer questionnaires on smartphone
- May be under curatorship or guardianship
- Agreeing to participate in the study and with informed consent signed by the subject, as well as by the legal representative in the case of a person under curatorship or guardianship
Exclusion Criteria:
- Suffering from a pathology that impairs French
- Suffering from a neurological pathology: multiple sclerosis, Parkinson's disease, Huntington's disease or neurodegenerative disease
- Treatment with lithium salts
- Anti-epileptic treatment
- Participant in another study involving medication
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Schizophrenic patients treated with a primary treatment
Study's interventions:
|
Four blood tests are prospectively realized per patient during the study to measure the plasma concentration of antipsychotics (primary treatment: risperidone/paliperidone, olanzapine or aripiprazole).
These blood samples are taken at the inclusion visit, at the follow-up visits 2 and 4 months after the inclusion visit, then at the end-of-study visit 6 months after the inclusion visit.
Voice interviews carried out via the Callyope application: they consist of a series of tests, divided into two parts: Structured tasks (same content for each participant) and Semi-structured tasks (content varies for each participant). The simultaneous analysis of several speech tasks allows us to break down the different stages of speech production and the important factors that influence its achievement. In addition, patients will complete self-questionnaires via the application. Finally, lifestyle habits (sleep duration and number of steps) will be recorded via the application. These different tests will be carried out on the application at the inclusion visit (M0), then every month (M1, M2, M3, M4, M5) until the end of study visit (M6). |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Voice interviews recorded on Callyope application
Time Frame: Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
The analysis of the interviews (acoustic and linguistic features) will be implemented in a voice model predicting a score.
|
Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
|
Plasma concentration of antipsychotics
Time Frame: Month 0, Month 2, Month 4, Month 6
|
Plasma concentration of antipsychotics measured in ng/mL from Month 0 to Month 6.
|
Month 0, Month 2, Month 4, Month 6
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Age
Time Frame: Month 0
|
Age in years
|
Month 0
|
|
Weight
Time Frame: Month 0
|
Weight in kilograms
|
Month 0
|
|
Sex
Time Frame: Month 0
|
Sex (Male / Female)
|
Month 0
|
|
Change from Baseline in the schizophrenia severity
Time Frame: Month 0, Month 2, Month 4, Month 6
|
Schizophrenia severity will be assessed by the investigator with PANSS (Positive and Negative Syndrome Scale) scale.
For positive symptoms, score range is 7-49; For negative symptoms, the score range is 16 to 112.
Higher score mean a worse outcome.
|
Month 0, Month 2, Month 4, Month 6
|
|
Change from Baseline in the schizophrenia severity
Time Frame: Month 0, Month 2, Month 4, Month 6
|
Schizophrenia severity will be assessed by the investigator with CGI-SH (Clinical Global Impression - Schizophrenia) scale. Score range (min - max): 0 - 7 for the severity subscale Symptomatic remission correspond to a score ≤3 (CGI-S). |
Month 0, Month 2, Month 4, Month 6
|
|
Changes from Baseline in the schizophrenia severity
Time Frame: Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
Schizophrenia severity will be assessed by the investigator with the scores from MCSI (Modified version of the Colorado Symptom Index) questionnaire. Score range (min-max) : 5-70 Higher score relates to worse outcome |
Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
|
Number of hospitalizations
Time Frame: From enrollment to the end of study at 6 months
|
The total number of schizophrenia-related hospitalizations will be collected by the investigator from enrollment to the end of study at 6 months.
|
From enrollment to the end of study at 6 months
|
|
Total sleep duration
Time Frame: From enrollment to the end of study at 6 months
|
The total sleep duration in hours and minutes will be automatically measured by the Callyope application
|
From enrollment to the end of study at 6 months
|
|
Duration of daily physical activity
Time Frame: From enrollment to the end of study at 6 months
|
Duration of time spent at home, time in stationary mode in hours and minutes automatically assessed by the Callyope application
|
From enrollment to the end of study at 6 months
|
|
Phases of sleep duration
Time Frame: From enrollment to the end of study at 6 months
|
Duration of sleep phases in hours and minutes automatically assessed by the Callyope application
|
From enrollment to the end of study at 6 months
|
|
Plasma concentration of sedative antipsychotics
Time Frame: Month 0, Month 2, Month 4, Month 6
|
Plasma concentration of sedative antipsychotics measured in ng/mL from Month 0 to Month 6
|
Month 0, Month 2, Month 4, Month 6
|
|
Daily travel distance
Time Frame: From enrollment to the end of study at 6 months
|
Maximum daily travel distance from home in kilometers automatically assessed by the Callyope application
|
From enrollment to the end of study at 6 months
|
|
Changes from Baseline in the symptoms (Depression, anxiety, functional autonomy, fatigue)
Time Frame: Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
Symptoms will be assessed by the score of the PHQ-9 (Patient Health Questionnaire - 9) questionnaire. Score range (min - max): 0 - 27 Higher score relates to a worse outcome |
Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
|
Changes from Baseline in feelings of loneliness or social isolation
Time Frame: Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
Feelings of loneliness or social isolation will be assessed by the investigator from the Score from UCLA 3-item Loneliness Scale. The total score ranges from 20 to 80. Higher scores indicate higher loneliness. |
Month 0, Month 1, Month 2, Month 3, Month 4, Month 5, Month 6
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Pierre De Maricourt, Dr, GHU Paris Psychiatrie & Neurosciences
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- D23-P038
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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