Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model

Verfasser / Beitragende:
[Laura Pina-Camacho, Juan Garcia-Prieto, Mara Parellada, Josefina Castro-Fornieles, Ana Gonzalez-Pinto, Igor Bombin, Montserrat Graell, Beatriz Paya, Marta Rapado-Castro, Joost Janssen, Inmaculada Baeza, Francisco Pozo, Manuel Desco, Celso Arango]
Ort, Verlag, Jahr:
2015
Enthalten in:
European Child & Adolescent Psychiatry, 24/4(2015-04-01), 427-440
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00787-014-0593-0  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00787-014-0593-0 
245 0 0 |a Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model  |h [Elektronische Daten]  |c [Laura Pina-Camacho, Juan Garcia-Prieto, Mara Parellada, Josefina Castro-Fornieles, Ana Gonzalez-Pinto, Igor Bombin, Montserrat Graell, Beatriz Paya, Marta Rapado-Castro, Joost Janssen, Inmaculada Baeza, Francisco Pozo, Manuel Desco, Celso Arango] 
520 3 |a Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challenging. To assess the diagnostic predictive value of multiple types of data at the emergence of early-onset first-episode psychosis (FEP), various support vector machine (SVM) classifiers were developed. The data were from a 2-year, prospective, longitudinal study of 81 patients (age 9-17years) with early-onset FEP and a stable diagnosis during follow-up and 42 age- and sex-matched healthy controls (HC). The input was different combinations of baseline clinical, neuropsychological, magnetic resonance imaging brain volumetric and biochemical data, and the output was the diagnosis at follow-up (SSD vs. non-SSD, SSD vs. HC, and non-SSD vs. HC). Enhanced recursive feature elimination was performed for the SSD vs. non-SSD classifier to select and rank the input variables with the highest predictive value for a diagnostic outcome of SSD. After validation with a test set and considering all baseline variables together, the SSD vs. non-SSD, SSD vs. HC and non-SSD vs. HC classifiers achieved an accuracy of 0.81, 0.99 and 0.99, respectively. Regarding the SSD vs. non-SSD classifier, a combination of baseline clinical variables (severity of negative, disorganized symptoms and hallucinations or poor insight) and neuropsychological variables (impaired attention, motor coordination, and global cognition) showed the highest predictive value for a diagnostic outcome of SSD. Neuroimaging and biochemical variables at baseline did not add to the predictive value. Thus, comprehensive clinical/cognitive assessment remains the most reliable approach for differential diagnosis during early-onset FEP. SVMs may constitute promising multivariate tools in the search for predictors of diagnostic outcome in FEP. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Early-onset psychosis  |2 nationallicence 
690 7 |a Schizophrenia and disorders with psychotic features  |2 nationallicence 
690 7 |a Diagnosis  |2 nationallicence 
690 7 |a Child and adolescent psychiatry  |2 nationallicence 
690 7 |a Support vector machines  |2 nationallicence 
700 1 |a Pina-Camacho  |D Laura  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
700 1 |a Garcia-Prieto  |D Juan  |u Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Campus DeMontegancedo, Ctra. M-40, Km. 38, Pozuelo De Alarcón, 28223, Madrid, Spain  |4 aut 
700 1 |a Parellada  |D Mara  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
700 1 |a Castro-Fornieles  |D Josefina  |u Child and Adolescent Psychiatry and Psychology Department, Neuroscience Institute, Hospital Clínic, IDIBAPS, SGR-1119, Barcelona, Spain  |4 aut 
700 1 |a Gonzalez-Pinto  |D Ana  |u International Mood Disorders Research Centre. Hospital Santiago Apóstol, Universidad del País Vasco, CIBERSAM, Olaguíbel 29, 01004, Vitoria, Spain  |4 aut 
700 1 |a Bombin  |D Igor  |u Reintegra: Neuro-Rehabilitation Center, Eduardo de Fraga Torrejón 4, 33011, Oviedo, Spain  |4 aut 
700 1 |a Graell  |D Montserrat  |u Section of Child and Adolescent Psychiatry and Psychology, Hospital Infantil Universitario Niño Jesús, CIBERSAM, Av de Menéndez Pelayo 65, 28009, Madrid, Spain  |4 aut 
700 1 |a Paya  |D Beatriz  |u Child and Adolescent Mental Health Unit, Department of Psychiatry and Psychology, Hospital Universitario Marqués de Valdecilla, CIBERSAM, Av Valdecilla, s/n, 39008, Santander, Spain  |4 aut 
700 1 |a Rapado-Castro  |D Marta  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
700 1 |a Janssen  |D Joost  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
700 1 |a Baeza  |D Inmaculada  |u Child and Adolescent Psychiatry and Psychology Department, Neuroscience Institute, Hospital Clínic, IDIBAPS, SGR-1119, Barcelona, Spain  |4 aut 
700 1 |a Pozo  |D Francisco  |u Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Campus DeMontegancedo, Ctra. M-40, Km. 38, Pozuelo De Alarcón, 28223, Madrid, Spain  |4 aut 
700 1 |a Desco  |D Manuel  |u Department of Experimental Medicine, Hospital General Universitario Gregorio Marañón. IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
700 1 |a Arango  |D Celso  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
773 0 |t European Child & Adolescent Psychiatry  |d Springer Berlin Heidelberg  |g 24/4(2015-04-01), 427-440  |x 1018-8827  |q 24:4<427  |1 2015  |2 24  |o 787 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pina-Camacho  |D Laura  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Garcia-Prieto  |D Juan  |u Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Campus DeMontegancedo, Ctra. M-40, Km. 38, Pozuelo De Alarcón, 28223, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Parellada  |D Mara  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Castro-Fornieles  |D Josefina  |u Child and Adolescent Psychiatry and Psychology Department, Neuroscience Institute, Hospital Clínic, IDIBAPS, SGR-1119, Barcelona, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Gonzalez-Pinto  |D Ana  |u International Mood Disorders Research Centre. Hospital Santiago Apóstol, Universidad del País Vasco, CIBERSAM, Olaguíbel 29, 01004, Vitoria, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bombin  |D Igor  |u Reintegra: Neuro-Rehabilitation Center, Eduardo de Fraga Torrejón 4, 33011, Oviedo, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Graell  |D Montserrat  |u Section of Child and Adolescent Psychiatry and Psychology, Hospital Infantil Universitario Niño Jesús, CIBERSAM, Av de Menéndez Pelayo 65, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Paya  |D Beatriz  |u Child and Adolescent Mental Health Unit, Department of Psychiatry and Psychology, Hospital Universitario Marqués de Valdecilla, CIBERSAM, Av Valdecilla, s/n, 39008, Santander, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Rapado-Castro  |D Marta  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Janssen  |D Joost  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Baeza  |D Inmaculada  |u Child and Adolescent Psychiatry and Psychology Department, Neuroscience Institute, Hospital Clínic, IDIBAPS, SGR-1119, Barcelona, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pozo  |D Francisco  |u Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Campus DeMontegancedo, Ctra. M-40, Km. 38, Pozuelo De Alarcón, 28223, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Desco  |D Manuel  |u Department of Experimental Medicine, Hospital General Universitario Gregorio Marañón. IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Arango  |D Celso  |u Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón. School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Ibiza 43, 28009, Madrid, Spain  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t European Child & Adolescent Psychiatry  |d Springer Berlin Heidelberg  |g 24/4(2015-04-01), 427-440  |x 1018-8827  |q 24:4<427  |1 2015  |2 24  |o 787