A predictor model of treatment resistance in schizophrenia using data from electronic health records

Autor: Giouliana Kadra-Scalzo, Daniela Fonseca de Freitas, Deborah Agbedjro, Emma Francis, Isobel Ridler, Megan Pritchard, Hitesh Shetty, Aviv Segev, Cecilia Casetta, Sophie E. Smart, Anna Morris, Johnny Downs, Søren Rahn Christensen, Nikolaj Bak, Bruce J. Kinon, Daniel Stahl, Richard D. Hayes, James H. MacCabe

Publikováno v: PLoS ONE, Vol 17, Iss 9 (2022)

Objectives To develop a prognostic tool of treatment resistant schizophrenia (TRS) in a large and diverse clinical cohort, with comprehensive coverage of patients using mental health services in four London boroughs. Methods We used the Least Absolut

Externí odkaz: https://doaj.org/article/33cab6cd2e474f839d332b6455850c37

Using a statistical learning approach to identify sociodemographic and clinical predictors of response to clozapine

Autor: Daniela Fonseca de Freitas, Giouliana Kadra-Scalzo, Deborah Agbedjro, Emma Francis, Isobel Ridler, Megan Pritchard, Hitesh Shetty, Aviv Segev, Cecilia Casetta, Sophie E Smart, Johnny Downs, Søren Rahn Christensen, Nikolaj Bak, Bruce J Kinon, Daniel Stahl, James H MacCabe, Richard D Hayes

Publikováno v: Journal of Psychopharmacology. 36:498-506

Background: A proportion of people with treatment-resistant schizophrenia fail to show improvement on clozapine treatment. Knowledge of the sociodemographic and clinical factors predicting clozapine response may be useful in developing personalised a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fe9615a728d6f7914f142306ef3b3db
https://doi.org/10.1177/02698811221078746

Gene set enrichment analysis of pathophysiological pathways highlights oxidative stress in psychosis

Autor: Giorgio Pistis, Javier Vázquez-Bourgon, Margot Fournier, Raoul Jenni, Martine Cleusix, Sergi Papiol, Sophie E. Smart, Antonio F. Pardiñas, James T. R. Walters, James H. MacCabe, Zoltán Kutalik, Philippe Conus, Benedicto Crespo-Facorro, Kim Q Do

Publikováno v: Pistis, G, Vázquez-Bourgon, J, Fournier, M, Jenni, R, Cleusix, M, Papiol, S, Smart, S E, Pardiñas, A F, Walters, J T R, MacCabe, J H, Kutalik, Z, Conus, P, Crespo-Facorro, B & Q Do, K 2022, ' Gene set enrichment analysis of pathophysiological pathways highlights oxidative stress in psychosis ', Molecular Psychiatry, vol. 27, no. 12, pp. 5135-5143 . https://doi.org/10.1038/s41380-022-01779-1

Polygenic risk prediction remains an important aim of genetic association studies. Currently, the predictive power of schizophrenia polygenic risk scores (PRSs) is not large enough to allow highly accurate discrimination between cases and controls an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::322e1e10d93e0da1560832f5614e7b07
https://hdl.handle.net/10668/22604

Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

Autor: Sophie E. Smart, Deborah Agbedjro, Antonio F. Pardiñas, Olesya Ajnakina, Luis Alameda, Ole A. Andreassen, Thomas R.E. Barnes, Domenico Berardi, Sara Camporesi, Martine Cleusix, Philippe Conus, Benedicto Crespo-Facorro, Giuseppe D'Andrea, Arsime Demjaha, Marta Di Forti, Kim Do, Gillian Doody, Chin B. Eap, Aziz Ferchiou, Lorenzo Guidi, Lina Homman, Raoul Jenni, Eileen Joyce, Laura Kassoumeri, Ornella Lastrina, Ingrid Melle, Craig Morgan, Francis A. O'Neill, Baptiste Pignon, Romeo Restellini, Jean-Romain Richard, Carmen Simonsen, Filip Španiel, Andrei Szöke, Ilaria Tarricone, Andrea Tortelli, Alp Üçok, Javier Vázquez-Bourgon, Robin M. Murray, James T.R. Walters, Daniel Stahl, James H. MacCabe

Publikováno v: Schizophrenia Research Volume 250, December 2022, Pages 1-9
Smart, S E, Agbedjro, D, Pardiñas, A F, Ajnakina, O, Alameda, L, Andreassen, O A, Barnes, T R E, Berardi, D, Camporesi, S, Cleusix, M, Conus, P, Crespo-Facorro, B, D'Andrea, G, Demjaha, A, Di Forti, M, Do, K, Doody, G, Eap, C B, Ferchiou, A, Guidi, L, Homman, L, Jenni, R, Joyce, E, Kassoumeri, L, Lastrina, O, Melle, I, Morgan, C, O'Neill, F A, Pignon, B, Restellini, R, Richard, J-R, Simonsen, C, Španiel, F, Szöke, A, Tarricone, I, Tortelli, A, Üçok, A, Vázquez-Bourgon, J, Murray, R M, Walters, J T R, Stahl, D & MacCabe, J H 2022, ' Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium ', Schizophrenia research, vol. 250, pp. 1-9 . https://doi.org/10.1016/j.schres.2022.09.009

Introduction Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. Methods We combined

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4ff7e47412c8fb45122fe5b1cb5a1c9
http://hdl.handle.net/10852/98076

AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

Autor: David Owen, Amy J Lynham, Sophie E Smart, Antonio F Pardiñas, Jose Camacho Collados

Publikováno v: Journal of Medical Internet Research, Vol 26, p e59225 (2024)

BackgroundMental health disorders are currently the main contributor to poor quality of life and years lived with disability. Symptoms common to many mental health disorders lead to impairments or changes in the use of language, which are observable

Externí odkaz: https://doaj.org/article/9aaac60b0a8b429ab7ddeebc8168aa4f