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Personalised Prognostic Tools for Early Psychosis Management (PRONIA)
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Sample details

The PRONIA study aims to develop prognostic services for persons at risk of psychosis-related clinical, social and occupational outcomes. A discovery sample included 465 individuals with psychotic or affective illness or at risk for psychosis and 286 healthy controls, between 15 and 40 years from seven sites across Finland, Germany, Italy, Switzerland, and the United Kingdom. A replication dataset acquired by the same consortium included 433 patients and 178 healthy controls from the same seven sites. Baseline assessment began in 2014, and the study was completed in 2019. Participants were recruited from academic early recognition services and screened for eligibility before participating. Follow-up for all patients ranged from 9 to 36 months, with visits every 3 months to the 18-month point and every 9 months thereafter.

Study design
Cohort, Cohort - clinical

Number of participants at first data collection

1,362 (participants)

Age at first data collection

15 - 40 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adolescents
Adults
Control participants
People with psychiatric conditions
Psychosis
Dataset details
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Countries

Finland, Germany, Italy, Switzerland, United Kingdom of Great Britain and Northern Ireland

Year of first data collection

2014

Primary Institutions

Ludwig Maximilian University of Munich (Ludwig-Maximilians-Universität München, LMU)

Links

proniapredictors.eu/pronia/the-project/index.html

drks.de/search/en/trial/DRKS00005042

cordis.europa.eu/project/id/602152/reporting

Funders

Else Kröner-Fresenius Foundation (Else Kröner-Fresenius-Stiftung, EKFS)

European Union (EU)

European Union FP7 programmes

Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) now known as Federal Ministry of Research, Technology and Space (Bundesministerium für Forschung, Technologie und Raumfahrt, BMFTR)

Ongoing?
No

Data types collected

neuroImagingData
mentalHealthData
Quantitative data collection
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • Functional magnetic resonance imaging (fMRI)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Clinical outcomes
    Genetics
    Multi-site
    Neuroimaging
    Psychosis and psychotic disorders

    Consortia and dataset groups

    Harmonization of At Risk Multisite Observational Networks for Youth (HARMONY) collaboration
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    © 2024 Louise Arseneault

    Platform by Delosis