Your browser doesn't support javascript.
loading
Quantifying dimensional severity of obsessive-compulsive disorder for neurobiological research.
Shavitt, Roseli G; Requena, Guaraci; Alonso, Pino; Zai, Gwyneth; Costa, Daniel L C; de Bragança Pereira, Carlos Alberto; do Rosário, Maria Conceição; Morais, Ivanil; Fontenelle, Leonardo; Cappi, Carolina; Kennedy, James; Menchon, Jose M; Miguel, Euripedes; Richter, Peggy M A.
Afiliação
  • Shavitt RG; Department of Psychiatry, University of São Paulo, School of Medicine, Rua Dr. Ovídio Pires de Campo, 785/3(o). andar-sala 7. CEP 01060-970 São Paulo, Brazil. Electronic address: roseli.gshavitt@hc.fm.usp.br.
  • Requena G; Institute of Mathematics and Statistics, University of Sao Paulo, R. do Matão, 1010 - Vila Universitaria, São Paulo, SP CEP 05508-090, Brazil.
  • Alonso P; OCD Clinical and Research Unit, Department of Psychiatry, Hospital de Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Centro de Investigación en Red de Salud Mental, Carlos III Health Institute, Department of Clinical Sciences, Bellvitge Campus, University of Barcelon
  • Zai G; Sunnybrook Health Sciences Centre, Centre for Addiction and Mental Health, 2075 Bayview Avenue, Suite FG42, Toronto, ON M4N 3M5, Canada. Electronic address: gwyneth.zai@camh.ca.
  • Costa DLC; Department of Psychiatry, University of São Paulo, School of Medicine, Rua Dr. Ovídio Pires de Campo, 785/3(o). andar-sala 7. CEP 01060-970 São Paulo, Brazil.
  • de Bragança Pereira CA; Institute of Mathematics and Statistics, University of Sao Paulo, R. do Matão, 1010 - Vila Universitaria, São Paulo, SP CEP 05508-090, Brazil.
  • do Rosário MC; Child and Adolescent Psychiatry Unit (UPIA), Department of Psychiatry, Federal University of São Paulo (UNIFESP), Rua Borges Lagoa 570, CEP04038-020 São Paulo, Brazil.
  • Morais I; Department of Psychiatry, University of São Paulo, School of Medicine, Rua Dr. Ovídio Pires de Campo, 785/3(o). andar-sala 7. CEP 01060-970 São Paulo, Brazil.
  • Fontenelle L; Instituto de Psiquiatria, Universidade Federal do Rio de Janeiro (UFRJ), Instituto D'Or de Pesquisa e Ensino (IDOR), Rio de Janeiro, Brazil. Av. Venceslau Braz, 71 fundos. Botafogo, Rio de Janeiro, RJ, 22290-140, Brazil.
  • Cappi C; Department of Psychiatry, University of São Paulo, School of Medicine, Rua Dr. Ovídio Pires de Campo, 785/3(o). andar-sala 7. CEP 01060-970 São Paulo, Brazil.
  • Kennedy J; Sunnybrook Health Sciences Centre, Centre for Addiction and Mental Health, 2075 Bayview Avenue, Suite FG42, Toronto, ON M4N 3M5, Canada. Electronic address: jim.kennedy@camh.ca.
  • Menchon JM; OCD Clinical and Research Unit, Department of Psychiatry, Hospital de Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Centro de Investigación en Red de Salud Mental, Carlos III Health Institute, Department of Clinical Sciences, Bellvitge Campus, University of Barcelon
  • Miguel E; Department of Psychiatry, University of São Paulo, School of Medicine, Rua Dr. Ovídio Pires de Campo, 785/3(o). andar-sala 7. CEP 01060-970 São Paulo, Brazil.
  • Richter PMA; Sunnybrook Health Sciences Centre, Centre for Addiction and Mental Health, 2075 Bayview Avenue, Suite FG42, Toronto, ON M4N 3M5, Canada. Electronic address: peggy.richter@sunnybrook.ca.
Prog Neuropsychopharmacol Biol Psychiatry ; 79(Pt B): 206-212, 2017 10 03.
Article em En | MEDLINE | ID: mdl-28673486
Current research to explore genetic susceptibility factors in obsessive-compulsive disorder (OCD) has resulted in the tentative identification of a small number of genes. However, findings have not been readily replicated. It is now broadly accepted that a major limitation to this work is the heterogeneous nature of this disorder, and that an approach incorporating OCD symptom dimensions in a quantitative manner may be more successful in identifying both common as well as dimension-specific vulnerability genetic factors. As most existing genetic datasets did not collect specific dimensional severity ratings, a specific method to reliably extract dimensional ratings from the most widely used severity rating scale, the Yale-Brown Obsessive Compulsive Scale (YBOCS), for OCD is needed. This project aims to develop and validate a novel algorithm to extrapolate specific dimensional symptom severity ratings in OCD from the existing YBOCS for use in genetics and other neurobiological research. To accomplish this goal, we used a large data set comprising adult subjects from three independent sites: the Brazilian OCD Consortium, the Sunnybrook Health Sciences Centre in Toronto, Canada and the Hospital of Bellvitge, in Barcelona, Spain. A multinomial logistic regression was proposed to model and predict the quantitative phenotype [i.e., the severity of each of the five homogeneous symptom dimensions of the Dimensional YBOCS (DYBOCS)] in subjects who have only YBOCS (categorical) data. YBOCS and DYBOCS data obtained from 1183 subjects were used to build the model, which was tested with the leave-one-out cross-validation method. The model's goodness of fit, accepting a deviation of up to three points in the predicted DYBOCS score, varied from 78% (symmetry/order) to 84% (cleaning/contamination and hoarding dimensions). These results suggest that this algorithm may be a valuable tool for extracting dimensional phenotypic data for neurobiological studies in OCD.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escalas de Graduação Psiquiátrica / Índice de Gravidade de Doença / Algoritmos / Transtorno Obsessivo-Compulsivo Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escalas de Graduação Psiquiátrica / Índice de Gravidade de Doença / Algoritmos / Transtorno Obsessivo-Compulsivo Idioma: En Ano de publicação: 2017 Tipo de documento: Article