Literature DB >> 36073707

Potential for prediction of psychosis and bipolar disorder in Child and Adolescent Mental Health Services: a longitudinal register study of all people born in Finland in 1987.

Ulla Lång1,2, Hugh Ramsay1,3, Kathryn Yates2, Juha Veijola4,5, David Gyllenberg6,7,8,9,10, Mary C Clarke2,11, Finbarr P Leacy12, Mika Gissler13,14,15,16, Ian Kelleher1,2,17,18.   

Abstract

Current strategies to predict psychosis identify only a small proportion of individuals at risk. Additional strategies are needed to increase capacity for pre-diction and prevention of serious mental illness, ideally during childhood and adolescence. One possible approach would be to investigate systems in which psychosis risk factors are concentrated during childhood. One notable such system is represented by Child and Adolescent Mental Health Services (CAMHS). Although psychotic disorders are uncommon in CAMHS, many risk factors for psychosis are highly prevalent in young people who enter this system. We hypothesized, therefore, that youth attending CAMHS would be a high-risk group for psychosis if followed into adulthood and, furthermore, that CAMHS systems would capture a substantial proportion of future psychosis cases. We constructed a total population cohort study of all Finns born in 1987 (N=55,875), linking together extensive register data on health care contacts from birth through age 28 years. We identified all individuals diagnosed with a psychotic or bipolar disorder by age 28 (N=1,785). The risk of psychosis/bipolar disorder by age 28 years was 1.8% for individuals who had not attended CAMHS during childhood or adolescence, whereas it was 12.8% for those with a history of any outpatient CAMHS contact (odds ratio, OR=7.9, 95% CI: 7.2-8.7). Furthermore, the risk of psychosis/bipolar disorder by age 28 years was 2.3% for individuals without a history of inpatient CAMHS admission, whereas it was 24.0% for those with a history of inpatient CAMHS admission (OR=13.3, 95% CI: 11.9-14.9), and 36.5% for those with a history of inpatient CAMHS admission in adolescence (age 13-17 years) (OR=24.2, 95% CI: 21.2-27.6). Individuals who attended CAMHS but received no mental disorder diagnosis had an equally high risk of subsequently developing a psychosis/bipolar disorder as individuals who did receive a diagnosis (OR=0.9, 99.5% CI: 0.7-1.1). Compared to other CAMHS attendees, individuals who developed psychosis or bipolar disorder were more likely to have had an initial CAMHS diagnosis of depressive or other mood disorder (OR=2.3, 99.5% CI: 1.6-3.0) and disruptive behaviour disorder (OR=1.7, 99.5% CI: 1.2-2.5). Of all psychosis/bipolar diagnoses by age 28 years, 50.2% occurred in individuals who had, at some point in childhood or adolescence, attended CAMHS, indicating that CAMHS represent not only a high-risk but also a high-capacity system for prediction of psychosis/bipolar disorder. These findings suggest an enormous, untapped potential for large-scale psychosis/bipolar disorder prediction and prevention research within existing specialist CAMHS.
© 2022 World Psychiatric Association.

Entities:  

Keywords:  Child and Adolescent Mental Health Services; Psychosis; bipolar disorder; high-risk groups; prediction; prevention; schizophrenia

Year:  2022        PMID: 36073707      PMCID: PMC9453911          DOI: 10.1002/wps.21009

Source DB:  PubMed          Journal:  World Psychiatry        ISSN: 1723-8617            Impact factor:   79.683


  61 in total

1.  Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability.

Authors:  Tandy J Miller; Thomas H McGlashan; Joanna L Rosen; Kristen Cadenhead; Tyrone Cannon; Joseph Ventura; William McFarlane; Diana O Perkins; Godfrey D Pearlson; Scott W Woods
Journal:  Schizophr Bull       Date:  2003       Impact factor: 9.306

2.  The ultra-high risk concept-a review.

Authors:  Alison R Yung; Barnaby Nelson
Journal:  Can J Psychiatry       Date:  2013-01       Impact factor: 4.356

3.  A critique of the "ultra-high risk" and "transition" paradigm.

Authors:  Jim van Os; Sinan Guloksuz
Journal:  World Psychiatry       Date:  2017-06       Impact factor: 49.548

Review 4.  Monitoring and care of young people at incipient risk of psychosis.

Authors:  A R Yung; P D McGorry; C A McFarlane; H J Jackson; G C Patton; A Rakkar
Journal:  Schizophr Bull       Date:  1996       Impact factor: 9.306

5.  Brief report: validity of Finnish registry-based diagnoses of autism with the ADI-R.

Authors:  K M Lampi; A Sourander; M Gissler; S Niemelä; K Rehnström; E Pulkkinen; L Peltonen; L Von Wendt
Journal:  Acta Paediatr       Date:  2010-09       Impact factor: 2.299

Review 6.  Pediatric bipolar disorder: evidence for prodromal states and early markers.

Authors:  Joan L Luby; Neha Navsaria
Journal:  J Child Psychol Psychiatry       Date:  2010-01-18       Impact factor: 8.982

7.  Meta-analysis of cognitive deficits in ultra-high risk to psychosis and first-episode psychosis: do the cognitive deficits progress over, or after, the onset of psychosis?

Authors:  Emre Bora; Robin M Murray
Journal:  Schizophr Bull       Date:  2013-06-14       Impact factor: 9.306

8.  At-risk studies and clinical antecedents of psychosis, bipolar disorder and depression: a scoping review in the context of clinical staging.

Authors:  Jessica A Hartmann; Barnaby Nelson; Aswin Ratheesh; Devi Treen; Patrick D McGorry
Journal:  Psychol Med       Date:  2018-06-04       Impact factor: 7.723

9.  'At risk mental state' clinics for psychosis - an idea whose time has come - and gone!

Authors:  Olesya Ajnakina; Anthony S David; Robin M Murray
Journal:  Psychol Med       Date:  2018-12-26       Impact factor: 7.723

10.  Proportion and characteristics of young people in a first-episode psychosis clinic who first attended an at-risk mental state service or other specialist youth mental health service.

Authors:  Tara Burke; Andrew Thompson; Nathan Mifsud; Alison R Yung; Barnaby Nelson; Patrick McGorry; Brian O'Donoghue
Journal:  Schizophr Res       Date:  2022-01-29       Impact factor: 4.939

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