RESUMO
Introduction: Prior research examining cognitive heterogeneity in psychotic disorders primarily focused on chronic schizophrenia, with limited data on first-episode psychosis (FEP). We aimed to identify distinct cognitive subgroups in adult FEP patients using data-driven cluster-analytic approach, and examine relationships between cognitive subgroups and a comprehensive array of illness-related variables. Methods: Two-hundred-eighty-nine Chinese patients aged 26-55 years presenting with FEP to an early intervention program in Hong Kong were recruited. Assessments encompassing premorbid adjustment, illness-onset profile, symptom severity, psychosocial functioning, subjective quality-of-life, and a battery of cognitive tests were conducted. Hierarchical cluster-analysis was employed, optimized with k-means clustering and internally-validated by discriminant-functional analysis. Cognitive subgroup comparisons in illness-related variables, followed by multivariable multinominal-regression analyzes were performed to identify factors independently predictive of cluster membership. Results: Three clusters were identified including patients with globally-impaired (n = 101, 34.9%), intermediately-impaired (n = 112, 38.8%) and relatively-intact (n = 76, 26.3%) cognition (GIC, IIC and RIC subgroups) compared to demographically-matched healthy-controls' performance (n = 50). GIC-subgroup was older, had lower educational attainment, greater positive, negative and disorganization symptom severity, poorer insight and quality-of-life than IIC- and RIC-subgroups, and higher antipsychotic-dose than RIC-subgroup. IIC-subgroup had lower education levels and more severe negative symptoms than RIC-subgroup, which had better psychosocial functioning than two cognitively-impaired subgroups. Educational attainment and disorganization symptoms were found to independently predict cluster membership. Discussion: Our results affirmed cognitive heterogeneity in FEP and identified three subgroups, which were differentially associated with demographic and illness-related variables. Further research should clarify longitudinal relationships of cognitive subgroups with clinical and functional outcomes in FEP.
RESUMO
OBJECTIVE: Subjective quality of life is an important outcome of psychotic disorders. However, longitudinal course of subjective quality of life in the early illness stage is under-studied. We aimed to investigate the patterns and baseline predictors of subjective quality of life trajectories over 3 years in early psychosis patients, utilizing growth mixing modeling analysis, in the context of a 3-year follow-up of a randomized controlled trial comparing 1-year extension of early intervention with step-down psychiatric care for first-episode psychosis. METHOD: One hundred sixty Chinese patients were recruited from specialized early intervention program for first-episode psychosis in Hong Kong after they had completed this 2-year early intervention service, and underwent 1-year randomized controlled trial as well as 2-year post-randomized controlled trial follow-up (i.e. 3-year follow-up). Assessments on premorbid adjustment, onset profile, psychopathology, functioning and treatment characteristics were conducted. Individual class membership of subjective quality of life trajectory derived from growth mixing modeling was based on the 36-Item Short Form Health Survey mental component summary scores measured at four different time-points (baseline, 1, 2 and 3 years) among 142 participants across 3-year follow-up. RESULTS: Three distinct subjective quality of life trajectories were identified including higher-improving (68.3%, n = 97), lower-stable (24.6%, n = 35) and deteriorating (7%, n = 10) trajectories. Age of onset; duration of untreated psychosis; depressive, positive and negative symptoms; and intervention condition were significantly different between good (higher-improving trajectory) and poor (combined lower-stable and deteriorating trajectories) trajectory groups. Multiple regression analysis revealed that younger age of onset, more severe depression and receipt of step-down care independently predicted poor subjective quality of life trajectory. CONCLUSION: Approximately one-third of patients displayed poor subjective quality of life trajectory in the early phase of psychotic illness. Our results affirm depression as a critical determinant of prospective subjective quality of life and underscores positive effect of extended early intervention on sustained subjective quality of life improvement. Further longitudinal research is warranted to facilitate better characterization of subjective quality of life course patterns and development of targeted intervention to optimize subjective quality of life in patients with early psychosis.
