TY - JOUR
T1 - Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ)
T2 - Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
AU - Wannan, Cassandra M J
AU - Nelson, Barnaby
AU - Addington, Jean
AU - Allott, Kelly
AU - Anticevic, Alan
AU - Arango, Celso
AU - Baker, Justin T
AU - Bearden, Carrie E
AU - Billah, Tashrif
AU - Bouix, Sylvain
AU - Broome, Matthew R
AU - Buccilli, Kate
AU - Cadenhead, Kristin S
AU - Calkins, Monica E
AU - Cannon, Tyrone D
AU - Cecci, Guillermo
AU - Chen, Eric Yu Hai
AU - Cho, Kang Ik K
AU - Choi, Jimmy
AU - Clark, Scott R
AU - Coleman, Michael J
AU - Conus, Philippe
AU - Corcoran, Cheryl M
AU - Cornblatt, Barbara A
AU - Diaz-Caneja, Covadonga M
AU - Dwyer, Dominic
AU - Ebdrup, Bjørn H
AU - Ellman, Lauren M
AU - Fusar-Poli, Paolo
AU - Galindo, Liliana
AU - Gaspar, Pablo A
AU - Gerber, Carla
AU - Glenthøj, Louise Birkedal
AU - Glynn, Robert
AU - Harms, Michael P
AU - Horton, Leslie E
AU - Kahn, René S
AU - Kambeitz, Joseph
AU - Kambeitz-Ilankovic, Lana
AU - Kane, John M
AU - Kapur, Tina
AU - Keshavan, Matcheri S
AU - Kim, Sung-Wan
AU - Koutsouleris, Nikolaos
AU - Kubicki, Marek
AU - Kwon, Jun Soo
AU - Langbein, Kerstin
AU - Lewandowski, Kathryn E
AU - Light, Gregory A
AU - Rossum, Inge Winter-van
N1 - Publisher Copyright:
© 2024 Oxford University Press. All rights reserved.
PY - 2024/4/30
Y1 - 2024/4/30
N2 - This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.
AB - This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.
KW - clinical high risk
KW - consortium
KW - early detection
KW - prediction
KW - prevention
KW - psychosis
UR - http://www.scopus.com/inward/record.url?scp=85189877128&partnerID=8YFLogxK
U2 - 10.1093/schbul/sbae011
DO - 10.1093/schbul/sbae011
M3 - Article
C2 - 38451304
SN - 0586-7614
VL - 50
SP - 496
EP - 512
JO - Schizophrenia bulletin
JF - Schizophrenia bulletin
IS - 3
ER -