Differences in the Use and Opinions About New eHealth Technologies Among Patients With Psychosis: Structured Questionnaire.

BACKGROUND: Despite a growing interest in the use of technology in order to support the treatment of psychotic disorders, limited knowledge exists about the viability and acceptability of these eHealth interventions in relation to the clinical characteristics of patients. OBJECTIVE: The objective of this study was to assess the access and use of, as well as experiences and interest in, new technologies using a survey of patients diagnosed with early psychosis compared with a survey of patients diagnosed with chronic psychotic disorders. METHODS: We designed a structured questionnaire. This questionnaire was divided into five parts: (1) clinical and demographic information, (2) access and use of the internet, (3) use of the internet in relation to mental health, (4) experiences with technology, and (5) patients' interest in eHealth services. In total, 105 patients were recruited from early psychosis units (n=65) and recovery units (n=40). RESULTS: In this study, 84.8% (89/105) of the patients had access to the internet and 88.6% (93/105) owned an electronic internet device. In total, 71.3% (57/80) of patients who owned a mobile phone were interested in eHealth systems and 38.2% (37/97) reported negative experiences related to the internet usage. We observed differences between the groups in terms of device ownership (P=.02), the frequency of internet access (P<.001), the use of social media (P=.01), and seeking health information (P=.04); the differences were found to be higher in the early psychosis group. No differences were found between the groups in terms of the use of internet in relation to mental health, experiences and opinions about the internet, or interest in eHealth interventions (P=.43). CONCLUSIONS: The availability and use of technology for the participants in our survey were equivalent to those for the general population. The differences found between the groups in relation to the access or use of technology seemed to due to age-related factors. The use of technology involving mental health and the interest in eHealth interventions were mainly positive and equivalent between the groups. Accordingly, this group of patients is a potential target for the emerging eHealth interventions, regardless of their clinical status. However, 28.7% (23/80) of the studied patients rejected the use of internet interventions and 38.2% (37/97) had unpleasant experiences related to its usage; thus, more in-depth studies are needed to better define the profile of patients with psychosis who may benefit from eHealth treatments.

Is cognitive impairment associated with antipsychotic dose and anticholinergic equivalent loads in first-episode psychosis?

BACKGROUND: Cognitive deficits are a core feature of early stages in schizophrenia. However, the extent to which antipsychotic (AP) have a deleterious effect on cognitive performance remains under debate. We aim to investigate whether anticholinergic loadings and dose of AP drugs in first episode of psychosis (FEP) in advanced phase of remission are associated with cognitive impairment and the differences between premorbid intellectual quotient (IQ) subgroups. METHODS: Two hundred and sixty-six patients participated. The primary outcomes were cognitive dimensions, dopaminergic/anticholinergic load of AP [in chlorpromazine equivalents (Eq-CPZ) and the Anticholinergic Risk Scale (ARS), respectively]. RESULTS: Impairments in processing speed, verbal memory and global cognition were significantly associated with high Eq-CPZ and verbal impairment with high ARS score. Moreover, this effect was higher in the low IQ subgroup. CONCLUSIONS: Clinicians should be aware of the potential cognitive impairment associated with AP in advanced remission FEP, particularly in lower premorbid IQ patients.

Plasma peptidases as prognostic biomarkers in patients with first-episode psychosis.

The plasma activity of nine aminopeptidases was monitored over a year in first-episode psychotic patients. We observed significant differences in aminopeptidase B (APB), aminopeptidase N (APN) and dipeptidyl peptidase IV (DPPIV), but not in puromycin-sensitive aminopeptidase (PSA), prolyl endopeptidase (PEP), cysteine aminopeptidase (Cys-AP), aspartate aminopeptidase (Asp-AP), glutamate aminopeptidase (Glu) or piroglutamate aminopeptidase (PGI) in these patients compared to controls, and also a progressive increase in plasma activity, correlated to changes in scores on clinical scales, Global Assessment of Functioning scale (GAF) and Hamilton Depression Rating Scale (HDRS), at 1 month of follow-up. At 1 month after diagnosis, the median score obtained by patients on the GAF was negatively associated with the plasma activity of APB and PEP measured at the beginning of the psychotic episode, indicating a role as a negative prognostic factor that can predict psychiatric symptomatology. In the case of HDRS, scores at 1 month after diagnosis were found to be positively associated with the initial plasma activity of DPPIV, APN and PSA, indicating that their initial elevation is a negative prognostic factor that can predict subsequent depressive symptomatology. Taken together, these results suggest a pathophysiological involvement of plasma peptidases and indicate that aminopeptidase activity can predict the course of first-episode psychosis patients, acting as a prognostic indicator.

Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challenging. To assess the diagnostic predictive value of multiple types of data at the emergence of early-onset first-episode psychosis (FEP), various support vector machine (SVM) classifiers were developed. The data were from a 2-year, prospective, longitudinal study of 81 patients (age 9-17 years) with early-onset FEP and a stable diagnosis during follow-up and 42 age- and sex-matched healthy controls (HC). The input was different combinations of baseline clinical, neuropsychological, magnetic resonance imaging brain volumetric and biochemical data, and the output was the diagnosis at follow-up (SSD vs. non-SSD, SSD vs. HC, and non-SSD vs. HC). Enhanced recursive feature elimination was performed for the SSD vs. non-SSD classifier to select and rank the input variables with the highest predictive value for a diagnostic outcome of SSD. After validation with a test set and considering all baseline variables together, the SSD vs. non-SSD, SSD vs. HC and non-SSD vs. HC classifiers achieved an accuracy of 0.81, 0.99 and 0.99, respectively. Regarding the SSD vs. non-SSD classifier, a combination of baseline clinical variables (severity of negative, disorganized symptoms and hallucinations or poor insight) and neuropsychological variables (impaired attention, motor coordination, and global cognition) showed the highest predictive value for a diagnostic outcome of SSD. Neuroimaging and biochemical variables at baseline did not add to the predictive value. Thus, comprehensive clinical/cognitive assessment remains the most reliable approach for differential diagnosis during early-onset FEP. SVMs may constitute promising multivariate tools in the search for predictors of diagnostic outcome in FEP.

Use of asenapine in clinical practice for the management of bipolar mania.

Bipolar disorder is a chronic mental illness associated with high levels of somatic morbidity, comorbidity and mortality. Treatment guidelines for bipolar mania generally recommend initiating first-line therapy with a second-generation antipsychotic or mood stabiliser, either alone or in combination. Asenapine is a second-generation antipsychotic with a unique receptor binding profile, licensed for the treatment of manic episodes in adults with bipolar I disorder. 'Real-world' data are needed to complement evidence from clinical trials, in order to provide clinicians with pragmatic information regarding the likely risks and benefits of using a new agent in clinical practice. Evidence from real-world case reports demonstrates that - as in clinical trials - asenapine is effective in treating mania and mixed episodes associated with bipolar I disorder, whether used as monotherapy or in combination with a mood stabiliser. It has a rapid onset of antimanic effect and an early improvement is associated with treatment outcome. Asenapine also shows promise in controlling depressive symptoms and clinically challenging mixed states. Asenapine has a favourable tolerability profile, compared with other first-line agents, having a minimal impact on weight and metabolic parameters. Asenapine should be considered a first-line treatment option for adults with bipolar I disorder.

Depressive dimensions and item response analysis of the Hamilton Depression Rating Scale-17 in eating disorders.

BACKGROUND: Most patients having eating disorders (EDs) experience depressive symptoms. To date, there have been few reports about the different depressive dimensions in EDs. OBJECTIVE: The aim of this study was to investigate the dimensions of depressive symptoms and highlight the distribution of the symptoms. The psychometric properties of these measures were tested using item response theory methods. METHODS: A total of 103 consecutively admitted inpatients and outpatients who met the Diagnostic and Statistical Manual of Mental Disorders, Revised Fourth Edition, criteria for anorexia nervosa, bulimia nervosa, and EDs not otherwise specified were rated with the Hamilton Depression Rating Scale (HDRS-17). A factor analysis of the HDRS-17 was carried out with the Cf-varimax rotation. RESULTS: Factor analysis showed 2 independent and clinically interpretable factors corresponding to "anxious depression" and "somatic complaints" that constituted the core of depression. For the HDRS-17, item response theory analyses revealed that most of the items were maximally related to the core concept of depression and provided a good functioning. The 17 items were distributed in almost the same way as in the factor analyses found by other authors with different clinical groups. We conclude therefore that for the sample of EDs, 2 factors constitute the core symptoms of depression and most of the items provided a good functioning.

Course of cognitive functioning in first-episode psychosis: a comparison between schizophrenia and non schizophrenia psychosis.

AIMS: To describe the course of cognitive functioning in first-episode psychosis and to determine possible differences in the degree and trajectory of cognitive deficits between schizophrenia and non-schizophrenia first-episode psychosis. METHOD: We assessed attention, working memory, and executive functioning in 57 patients with first-episode psychosis both at baseline and at 1-year of follow-up. RESULTS: For the overall group, significant reductions were found in the percentage of omission and commission errors for the sustained attention task (p<0.001 and p=0.001, respectively), in the total time to complete the Stroop-I task (p<0.001), in the percentage of omission errors for the working memory task (p=0.001), and in the percentage of perseverative errors for the Wisconsin card sorting test (WCST; p<0.001), as well as a significant increase in the number of categories completed in the WCST (p<0.001). The remaining cognitive variables analyzed remained stable (4 of the 10 variables tested). The pattern of change was similar for patients with schizophrenia (n=20) and non-schizophrenia (n=37) in the areas of attention and working memory. For executive functioning, the non-schizophrenia group showed a more beneficial pattern of change. No significant differences were detected in cognitive performance among subgroups at baseline or at the 1-year follow-up. CONCLUSION: The course of cognitive deficits in first-episode psychosis showed significant improvements over the 1-year period in the areas of attention, working memory and executive functioning. Neuropsychological performance did not seem to be specific enough to distinguish between patients with schizophrenia and non-schizophrenia first-episode psychosis, at least during the first year.

Outcomes for Latin American versus White patients suffering from acute mania in a randomized, double-blind trial comparing olanzapine and haloperidol.

Data from a published double-blind randomized trial comparing olanzapine versus haloperidol in acute mania were used to address the response and tolerability of Latin American patients. Primary efficacy end point was the remission rate (Young Mania Rating Scale score