OBJECTIVE: Predicting response to antipsychotic treatment might optimize treatment strategies in early phases of schizophrenia. We aimed to investigate sociodemographic, premorbid and clinical predictors of response to antipsychotic treatment after a first episode of non-affective psychosis. METHOD: 375 (216 males) patients with a diagnosis of non affective psychosis entered the study. The main outcome measure was clinical response at 6 weeks and variables at baseline were evaluated as predictors of response. ANOVA for continuous and chi-square for categorical data were used to compare responders and non-responders. Multivariate logistic regression was used to establish a prediction model. RESULTS: 53.3% of study subjects responded to antipsychotic treatment. The following variables were associated with an unfavorable response: 1.--lower severity of symptoms at baseline; 2.--diagnosis of schizophrenia; 3.--longer DUI and DUP; 4.--poorer premorbid adjustment during adolescence and adulthood; 5.--family history of psychosis, and 6.--hospitalization. Patients with a family history of psychosis, longer DUP, poor premorbid functioning and lower severity of psychotic symptoms at intake have a reduced likelihood of responding to antipsychotic treatment. CONCLUSION: Helping clinicians to identify those first episode patients with a lower probability of having a favorable clinical response is meant as a first step to achieve a successful initial treatment.
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OBJECTIVE: Predicting response to antipsychotic treatment might optimize treatment strategies in early phases of schizophrenia. We aimed to investigate sociodemographic, premorbid and clinical predictors of response to antipsychotic treatment after a first episode of non-affective psychosis. METHOD: 375 (216 males) patients with a diagnosis of non affective psychosis entered the study. The main outcome measure was clinical response at 6 weeks and variables at baseline were evaluated as predictors of response. ANOVA for continuous and chi-square for categorical data were used to compare responders and non-responders. Multivariate logistic regression was used to establish a prediction model. RESULTS: 53.3% of study subjects responded to antipsychotic treatment. The following variables were associated with an unfavorable response: 1.--lower severity of symptoms at baseline; 2.--diagnosis of schizophrenia; 3.--longer DUI and DUP; 4.--poorer premorbid adjustment during adolescence and adulthood; 5.--family history of psychosis, and 6.--hospitalization. Patients with a family history of psychosis, longer DUP, poor premorbid functioning and lower severity of psychotic symptoms at intake have a reduced likelihood of responding to antipsychotic treatment. CONCLUSION: Helping clinicians to identify those first episode patients with a lower probability of having a favorable clinical response is meant as a first step to achieve a successful initial treatment.
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Authors: Luis Molina; Byron Recinos; Bezner Paz; Mauricio Rovelo; Fanny Elizabeth Elias Rodriguez; José Calderón; Arturo Arellano; Santiago Pomata; María Verónica Rey; Santiago Perez-Lloret Journal: Clin Drug Investig Date: 2016-06 Impact factor: 2.859
Authors: Nicolas A Crossley; Tiago Reis Marques; Heather Taylor; Chris Chaddock; Flavio Dell'Acqua; Antje A T S Reinders; Valeria Mondelli; Marta DiForti; Andrew Simmons; Anthony S David; Shitij Kapur; Carmine M Pariante; Robin M Murray; Paola Dazzan Journal: Brain Date: 2016-12-21 Impact factor: 13.501
Authors: J Frank; M Lang; S H Witt; J Strohmaier; D Rujescu; S Cichon; F Degenhardt; M M Nöthen; D A Collier; S Ripke; D Naber; M Rietschel Journal: Mol Psychiatry Date: 2014-06-03 Impact factor: 15.992