Personalised prognostic tools for early psychosis management (PRONIA)
Speaker: Professor Dr. Nikolaos Koutsouleris
Affiliation: Department of Psychiatry and Psychotherapy
Funding: 2013 - 2018
Affective and non-affective psychoses have a major negative impact on human society. They account for 6.3% of the global burden of disease and cost €207 billion per year in Europe alone, making them the most expensive brain-related disorders and even more expensive than cardiovascular diseases. This socioeconomic burden is largely caused by two core disease features: onset in adolescence and early adulthood and long-term disabling disease courses. Both factors lead to enduring social and vocational exclusion and contribute to 8-20 times higher suicide rates in affected patients.
Reliable and accessible prognostic tools will alleviate this burden by enabling individualised risk prediction, thus facilitating the administration of preventive treatment tailored to the needs and risk level of the individual patient. Therefore, we will use routine brain imaging and complementary data to optimise our candidate biomarkers for the prediction and staging of psychoses and generate a prognostic system that generalises well across different mental health services. Secondly, we will implement new multi-modal risk quantification tools to predict mental health-related disability in young help-seekers. The fusion of these tools with clinical knowledge will produce cybernetic prognostic services that accurately identify help-seekers at the highest risk of psychosis, poor functioning and suicide-related mortality.