OBJECTIVE: There are several models of staging in bipolar disorder (BD), but none has been validated. The aims of this study were to empirically investigate clinical variables that may be useful to classify patients in clusters according to stage and study the association with biomarkers as biological validators. METHOD: This was a historical cohort study. Patients (n = 115) diagnosed with BD and not in an acute episode and first-degree relatives of patients diagnosed with BD (n = 25) were recruited. Sociodemographic, clinical, and functional data were collected. Serum cytokines, brain-derived neurotrophic factor, and biomarkers of lipid and protein oxidation were assessed. Cluster analysis was carried out to build a model of staging, and logistic regression was conducted to study associations between the model and biomarkers. RESULTS: Cluster analysis divided the sample into two equitable groups, denominated early and late stage, with empirical cutoffs for the Functioning Assessment Short Test score, number of episodes, age at onset of the disorder, and time elapsed since first episode. In the logistic regression, IL-6 was associated with late stage (P = 0.029). CONCLUSION: This study supports that clinical, functional, and biochemical variables may help to define a classification of staging in BD.
OBJECTIVE: There are several models of staging in bipolar disorder (BD), but none has been validated. The aims of this study were to empirically investigate clinical variables that may be useful to classify patients in clusters according to stage and study the association with biomarkers as biological validators. METHOD: This was a historical cohort study. Patients (n = 115) diagnosed with BD and not in an acute episode and first-degree relatives of patients diagnosed with BD (n = 25) were recruited. Sociodemographic, clinical, and functional data were collected. Serum cytokines, brain-derived neurotrophic factor, and biomarkers of lipid and protein oxidation were assessed. Cluster analysis was carried out to build a model of staging, and logistic regression was conducted to study associations between the model and biomarkers. RESULTS: Cluster analysis divided the sample into two equitable groups, denominated early and late stage, with empirical cutoffs for the Functioning Assessment Short Test score, number of episodes, age at onset of the disorder, and time elapsed since first episode. In the logistic regression, IL-6 was associated with late stage (P = 0.029). CONCLUSION: This study supports that clinical, functional, and biochemical variables may help to define a classification of staging in BD.
Authors: L Lavagnino; B Cao; B Mwangi; M-J Wu; M Sanches; G B Zunta-Soares; F Kapczinski; J Soares Journal: Acta Psychiatr Scand Date: 2015-01-31 Impact factor: 6.392
Authors: Michael Berk; Robert Post; Aswin Ratheesh; Emma Gliddon; Ajeet Singh; Eduard Vieta; Andre F Carvalho; Melanie M Ashton; Lesley Berk; Susan M Cotton; Patrick D McGorry; Brisa S Fernandes; Lakshmi N Yatham; Seetal Dodd Journal: World Psychiatry Date: 2017-10 Impact factor: 49.548
Authors: Juan Miguel Garrido; Jose Sánchez-Moreno; Mireia Vázquez; Diego Hidalgo; Marc Valentí; Jose Manuel Goikolea; Antoni Benabarre; Alejandro Ylla; Iria Grande; Eduard Vieta; Antoni Trilla Journal: J Behav Health Serv Res Date: 2019-04 Impact factor: 1.505