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Sökning: onr:"swepub:oai:lup.lub.lu.se:2c251747-361f-4f4d-a1e7-28584dca87fa" > Transdiagnostic ind...

Transdiagnostic individualized clinically-based risk calculator for the automatic detection of individuals at-risk and the prediction of psychosis : external replication in 2,430,333 US patients

Oliver, Dominic (författare)
King's College London
Wong, Chiew Meng Johnny (författare)
H. Lundbeck A/S
Bøg, Martin (författare)
H. Lundbeck A/S
visa fler...
Jönsson, Linus (författare)
Karolinska Institutet,Karolinska Institute,H. Lundbeck A/S
Kinon, Bruce J. (författare)
Lundbeck US
Wehnert, Allan (författare)
H. Lundbeck A/S
Jørgensen, Kristian Tore (författare)
H. Lundbeck A/S
Irving, Jessica (författare)
King's College London
Stahl, Daniel (författare)
King's College London
McGuire, Philip (författare)
South London and Maudsley NHS Foundation Trust,King's College London
Raket, Lars Lau (författare)
Lund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups,H. Lundbeck A/S
Fusar-Poli, Paolo (författare)
South London and Maudsley NHS Foundation Trust,King's College London,University of Pavia
visa färre...
King's College London H Lundbeck A/S (creator_code:org_t)
2020-10-29
2020
Engelska.
Ingår i: Translational Psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 10:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • The real-world impact of psychosis prevention is reliant on effective strategies for identifying individuals at risk. A transdiagnostic, individualized, clinically-based risk calculator to improve this has been developed and externally validated twice in two different UK healthcare trusts with convincing results. The prognostic performance of this risk calculator outside the UK is unknown. All individuals who accessed primary or secondary health care services belonging to the IBM® MarketScan® Commercial Database between January 2015 and December 2017, and received a first ICD-10 index diagnosis of nonorganic/nonpsychotic mental disorder, were included. According to the risk calculator, age, gender, ethnicity, age-by-gender, and ICD-10 cluster diagnosis at index date were used to predict development of any ICD-10 nonorganic psychotic disorder. Because patient-level ethnicity data were not available city-level ethnicity proportions were used as proxy. The study included 2,430,333 patients with a mean follow-up of 15.36 months and cumulative incidence of psychosis at two years of 1.43%. There were profound differences compared to the original development UK database in terms of case-mix, psychosis incidence, distribution of baseline predictors (ICD-10 cluster diagnoses), availability of patient-level ethnicity data, follow-up time and availability of specialized clinical services for at-risk individuals. Despite these important differences, the model retained accuracy significantly above chance (Harrell’s C = 0.676, 95% CI: 0.672–0.679). To date, this is the largest international external replication of an individualized prognostic model in the field of psychiatry. This risk calculator is transportable on an international scale to improve the automatic detection of individuals at risk of psychosis.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

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