Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge

Depressed patients present with motor activity abnormalities, which can be easily recorded using actigraphy. The extent to which actigraphically recorded motor activity may predict inpatient clinical course and hospital discharge remains unknown. Participants were recruited from the acute psychiatric inpatient ward at Hospital Rey Juan Carlos (Madrid, Spain). They wore miniature wrist wireless inertial sensors (actigraphs) throughout the admission. We modeled activity levels against the normalized length of admission—‘Progress Towards Discharge’ (PTD)—using a Hierarchical Generalized Linear Regression Model. The estimated date of hospital discharge based on early measures of motor activity and the actual hospital discharge date were compared by a Hierarchical Gaussian Process model. Twenty-three depressed patients (14 females, age: 50.17 ± 12.72 years) were recruited. Activity levels increased during the admission (mean slope of the linear function: 0.12 ± 0.13). For n = 18 inpatients (78.26%) hospitalised for at least 7 days, the mean error of Prediction of Hospital Discharge Date at day 7 was 0.231 ± 22.98 days (95% CI 14.222–14.684). These n = 18 patients were predicted to need, on average, 7 more days in hospital (for a total length of stay of 14 days) (PTD = 0.53). Motor activity increased during the admission in this sample of depressed patients and early patterns of actigraphically recorded activity allowed for accurate prediction of hospital discharge date.This work has been partly-funded by the Spanish Ministerio de Ciencia, Innovación y Universidades (TEC2017-92552-EXP, RTI2018-099655-B-I00, FPU18/00516), the Comunidad de Madrid (Y2018/TCS-4705 PRACTICOCM, B2017/BMD-3740 AGES-CM 2CM), ISCIII (PI16/01852), BBVA Foundation (Deep-DARWiN grant) and AFSP (Grant LSRG-1-005-16). JDLM acknowledges funding support from the Universidad Autónoma de Madrid and European Union-European Commission via the Intertalentum Project & Marie Skłodowska-Curie Actions Grant (GA 713366

Insight assessment in psychosis and psychopathological correlates:Validation of the Spanish version of the schedule for assessment of insight – Expanded version

Background and Objectives: Lack of insight is a cardinal feature of psychosis. Insight has been found to be a multidimensional concept, including awareness of having a mental illness, ability to relabel psychotic phenomena as abnormal and compliance with treatment., which can be measured with the Schedule for Assessment of Insight (SAI-E). The aim of this study was to validate the Spanish version of SAI-E. Methods: The SAI-E was translated into Spanish and back-translated into English, which was deemed appropriate by the original scale author. Next, the Spanish version of the SAI-E was administered to 39 patients with schizophrenia or schizoaffective disorder (DSM-IV criteria) from a North Peruvian psychiatric hospital. The Positive and Negative Syndrome Scale for Schizophrenia (PANSS) and the Scale of Unawareness of Mental Disorder (SUMD) were also administered. Specifically, internal consistency and convergent validity were assessed. Results: Internal consistency between the 11 items of the SAI-E was found to be good to excellent (α = 0.942). Compliance items did not contribute to internal consistency (A = 0.417, B = 572). Inter-rater reliability was excellent (ICC = 0.99). Regarding concurrent validity, the SAI-E total score correlated negatively with the lack of insight and judgement item of the PANNS (r = -0.91, p <0.01) and positively with the SUMD total score (r = 0.92, p <0.001). Conclusions: The Spanish version of the SAI-E scale was demonstrated to have both excellent reliability and external validity in our sample of South American Spanish-speaking patients with schizophrenia spectrum disorders

The dynamic relationship between insight and suicidal behavior in first episode psychosis patients over 3-year follow-up

Studies have established the high risk of suicide in first episode psychosis (FEP). Between 15% and 26% of FEP patients attempt suicide at least once before their first contact with psychiatric services and 2–5% die from suicide. Also, many patients with schizophrenia spectrum disorders lack insight into having a mental disorder. However, the relationship between insight changes and suicidal behavior in FEP remains poorly understood. In the present study information about suicidal behavior over a 3 years period was available on a cohort of 397 FEP patients, of whom 270 were assessed in the three dimensions of insight (into mental illness, the need for treatment, and the social consequences) at baseline, 1 and 3 years after treatment initiation. Survival analyses examined time to suicidal behavior in relation to (i) insight at baseline, (ii) the closest insight measure to the suicide attempt, and (iii) changes in insight during the follow-up. No associations were found between baseline insight dimensions and time to suicidal behavior. However, poor insight at the evaluation closest to the suicide attempt was associated with an increased risk of suicide. Stability of insight did not affect the risk of suicidal behavior, while changes in either direction were linked with an increased risk of suicidal behavior, particularly worsening insight. Insight in psychosis is a dynamic concept and we demonstrated the relationship between insight and suicide risk to be equally dynamic. Poor insight seems to increase the risk, especially when insight levels change. Repeated insight assessment to detect change from early psychosis may play a role in suicide prevention