Bipolar patients experience lower functioning and well-being even in the stable phase of the disorder. Due to the great impact of bipolar disorder on many areas, it would be of interest to know the clinical predictors related to patient quality of life, as this would contribute to the design of different clinical interventions.

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In patients with schizophrenia, functional capacity and real-world functioning are two related but different constructs. Each one predicts the other along with other factors; general psychopathology for functional capacity, and severity of the illness and negative symptoms for real-world functioning. These findings have important clinical implications: (1) both types of functioning should be assessed in patients with schizophrenia and (2) strategies for improving them should be different.

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IntroductionBipolar disorder (BD) is a heterogeneous disorder needing personalized and shared decisions. We aimed to empirically develop a cluster-based classification that allocates patients according to their severity for helping clinicians in these processes.MethodsNaturalistic, cross-sectional, multicenter study. We included 224 subjects with BD (DSM-IV-TR) under outpatient treatment from 4 sites in Spain. We obtained information on socio-demography, clinical course, psychopathology, cognition, functioning, vital signs, anthropometry and lab analysis. Statistical analysis: k-means clustering, comparisons of between-group variables, and expert criteria.Results and discussionWe obtained 12 profilers from 5 life domains that classified patients in five clusters. The profilers were: Number of hospitalizations and of suicide attempts, comorbid personality disorder, body mass index, metabolic syndrome, the number of comorbid physical illnesses, cognitive functioning, being permanently disabled due to BD, global and leisure time functioning, and patients’ perception of their functioning and mental health. We obtained preliminary evidence on the construct validity of the classification: (1) all the profilers behaved correctly, significantly increasing in severity as the severity of the clusters increased, and (2) more severe clusters needed more complex pharmacological treatment.ConclusionsWe propose a new, easy-to-use, cluster-based severity classification for BD that may help clinicians in the processes of personalized medicine and shared decision-making.

In a cyclical and recurring illness such as bipolar disorder, prodrome detection is of vital importance. This paper describes manic and depressive prodromal symptoms to relapse, methods used in their detection, problems inherent in their assessment, and patients' coping strategies. A review of the literature on the issue was performed using MEDLINE and EMBASE databases (1965-May 2006). 'Bipolar disorder', 'prodromes', 'early symptoms', 'coping', 'manic' and 'depression' were entered as key words. A hand search was conducted simultaneously and the references of the articles found were used to locate additional articles. The most common depressive prodromes are mood changes, psychomotor symptoms and increased anxiety; the most frequent manic prodromes are sleep disturbances, psychotic symptoms and mood changes. The manic prodromes also last longer. Certain psychological interventions, both at the individual and psychoeducational group level, have proven effective, especially in preventing manic episodes. Bipolar patients are highly capable of detecting prodromal symptoms to relapse, although they do find the depressive ones harder to identify. Learning detection, coping strategies and idiosyncratic prodromes are elements that should be incorporated into daily clinical practice with bipolar patients.