Neuropsychological profiles in first-episodes psychosis and their relationship with clinical, metacognition and social cognition variables.

An increasing interest in the assessment of neuropsychological performance variability in people with first-episode psychosis (FEP) has emerged. However, its association with clinical and functional outcomes requires further study. Furthermore, FEP neuropsychological subgroups have not been characterized by clinical insight or metacognition and social cognition domains. The aim of this exploratory study was to identify specific groups of patients with FEP based on neuropsychological variables and to compare their sociodemographic, clinical, metacognition and social cognition profiles. A sample of 149 FEP was recruited from adult mental health services. Neuropsychological performance was assessed by a neuropsychological battery (WAIS-III; TMT; WSCT; Stroop Test; TAVEC). The assessment also included sociodemographic characteristics, clinical, functional, metacognition and social cognition variables. Two distinct neuropsychological profiles emerged: one neuropsychological impaired cluster (N = 56) and one relatively intact cluster (N = 93). Significant differences were found between both profiles in terms of sociodemographic characteristics (age and level of education) (p = 0.001), clinical symptoms (negative, positive, disorganized, excitement and anxiety) (p = 0.041-0.001), clinical insight (p = 0.038-0.017), global functioning (p = 0.014), as well as in social cognition domains (emotional processing and theory of mind) (p = 0.001; p = 0.002). No significant differences were found in metacognitive variables (cognitive insight and 'jumping to conclusions' bias). Relationship between neurocognitive impairment, social cognition and metacognition deficits are discussed. Early identifying of neuropsychological profiles in FEP, characterized by significant differences in clinical and social cognition variables, could provide insight into the prognosis and guide the implementation of tailored early-intervention.

The influence of gender in cognitive insight and cognitive bias in people with first-episode psychosis: an uncontrolled exploratory analysis.

PURPOSE: Previous studies have investigated the role of gender in clinical symptoms, social functioning, and neuropsychological performance in people with first-episode psychosis (FEP). However, the evidence of gender differences for metacognition in subjects with FEP is still limited and controversial. The aim of the present study was to explore gender differences in cognitive insight and cognitive biases in this population. METHODS: Cross-sectional study was carried out in a sample of 104 patients with FEP (35 females and 69 males) recruited from mental health services. Symptoms were assessed with the Positive and Negative Syndrome Scale, cognitive insight with the Beck Cognitive Insight Scale, and cognitive bias by the Cognitive Biases Questionnaire for Psychosis. The assessment also included clinical and sociodemographic characteristics. RESULTS: After controlling for potential confounders (level of education, marital status, and duration of psychotic illness) analysis of covariance revealed that males presented greater self-reflectiveness (p = 0.004) when compared to females. However, no significant differences were found in self-certainty and composite index of the cognitive insight scale, as in the cognitive biases assessed. CONCLUSIONS: Gender was an independent influence factor for self-reflectiveness, being better for males. Self-reflectiveness, if shown to be relatively lacking in women, could contribute to the design of more gender-sensitive and effective psychotherapeutic treatments, as being able to self-reflect predicts to better treatment response in psychosis.

Perceived burdensomeness, thwarted belongingness, and hopelessness as predictors of future suicidal ideation in Spanish university students.

The Interpersonal Theory of Suicide (IPTS) has received support for its role in understanding suicidal thoughts and behaviors. However, few longitudinal studies have focused on testing this theory in university students. The present study aimed to confirm the theoretical model of the IPTS in a sample of 225 Spanish university students, using path analysis in a longitudinal study. We assessed thwarted belongingness and perceived burdensomeness at T1 and hopelessness and suicidal ideation at T2, 12-14 weeks later. Moreover, we assessed suicidal ideation weekly for 14 weeks. Path analyses confirmed the Interpersonal Theory of Suicide model, with thwarted belongingness and perceived burdensomeness as direct and indirect predictors of suicidal ideation through hopelessness. Providers of guidance and clinical services in university settings should be trained to identify perceived burdensomeness, social belongingness, hopelessness, and suicidal ideation when screening for suicide prevention.

One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study.

BACKGROUND: Suicide is a major global public health issue that is becoming increasingly common despite preventive efforts. Though current methods for predicting suicide risk are not sufficiently accurate, technological advances provide invaluable tools with which we may evolve toward a personalized, predictive approach. OBJECTIVE: We aim to predict the short-term (1-week) risk of suicide by identifying changes in behavioral patterns characterized through real-time smartphone monitoring in a cohort of patients with suicidal ideation. METHODS: We recruited 225 patients between February 2018 and March 2020 with a history of suicidal thoughts and behavior as part of the multicenter SmartCrisis study. Throughout 6 months of follow-up, we collected information on the risk of suicide or mental health crises. All participants underwent voluntary passive monitoring using data generated by their own smartphones, including distance walked and steps taken, time spent at home, and app usage. The algorithm constructs daily activity profiles for each patient according to these data and detects changes in the distribution of these profiles over time. Such changes are considered critical periods, and their relationship with suicide-risk events was tested. RESULTS: During follow-up, 18 (8%) participants attempted suicide, and 14 (6.2%) presented to the emergency department for psychiatric care. The behavioral changes identified by the algorithm predicted suicide risk in a time frame of 1 week with an area under the curve of 0.78, indicating good accuracy. CONCLUSIONS: We describe an innovative method to identify mental health crises based on passively collected information from patients' smartphones. This technology could be applied to homogeneous groups of patients to identify different types of crises.

Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients.

There is growing concern that the social and physical distancing measures implemented in response to the Covid-19 pandemic may negatively impact health in other areas, via both decreased physical activity and increased social isolation. Here, we investigated whether increased engagement with digital social tools may help mitigate effects of enforced isolation on physical activity and mood, in a naturalistic study of at-risk individuals. Passively sensed smartphone app use and actigraphy data were collected from a group of psychiatric outpatients before and during imposition of strict Covid-19 lockdown measures. Data were analysed using Gaussian graphical models: a form of network analysis which gives insight into the predictive relationships between measures across timepoints. Within-individuals, we found evidence of a positive predictive path between digital social engagement, general smartphone use, and physical activity-selectively under lockdown conditions (N = 127 individual users, M = 6201 daily observations). Further, we observed a positive relationship between social media use and total daily steps across individuals during (but not prior to) lockdown. Although there are important limitations on the validity of drawing causal conclusions from observational data, a plausible explanation for our findings is that, during lockdown, individuals use their smartphones to access social support, which may help guard against negative effects of in-person social deprivation and other pandemic-related stress. Importantly, passive monitoring of smartphone app usage is low burden and non-intrusive. Given appropriate consent, this could help identify people who are failing to engage in usual patterns of digital social interaction, providing a route to early intervention.

Substance use, mental health and dual disorders on pregnancy: Results of prevalence and treatment rates in a developed country. / Salud mental, abuso de sustancias y trastornos duales en el embarazo: Tasas de prevalencia y tratamiento en un país desarrollado.

Smoking and substance use during pregnancy are major preventable causes of mortality and morbidity, having a bidirectional and deleterious relationship with the mental health of the mother and child. As part of the WOMAP (Woman Mental Health and Addictions on Pregnancy) initiative, our study aimed to describe the prevalence of co-occurring mental illness and substance use problems, diagnoses and severity of those considered at risk and rates of treatment.A screening of 2,014 pregnant women was done using the AC-OK scale and they were asked about their smoking habits and services use for mental health/substance abuse. Of these, 170 women were considered at risk of co-occurring mental illness and substance use problems (≥ 2 positive responses to the AC-OK-Mental Health subscale, ≥ 1 positive response to the AC-OK-Substance Abuse subscale and/or smoking more than once a month and no use of specialized services) and were assessed with a more extensive battery of measures (Patient Health Questionnaire [PHQ-9], General Anxiety Disorder [GAD-7], Posttraumatic stress disorder [PTSD] Checklist for DSM-5 [PCL-5], Alcohol Use Disorders Identification Test [AUDIT], Drug Abuse Screening Test [DAST] and Fagerström).In the last year, 614 women (30.5%) smoked tobacco (42.5% daily) and 9.8% were positive for both substance use and mental illness per the AC-OK. Only 11.1% of them received specific treatment in the previous three months while another 13.6% were scheduled to attend services in the following month. From the subsample assessed in depth, 62(36.5%) endorsed at least moderate depression, 35(20.6%) endorsed at least moderate anxiety, 32(18.8%) endorsed PTSD on the PCL, and 37 out of 88 alcohol users scored above the threshold in AUDIT (≥ 3). In conclusion, high prevalence and low treatment rates suggest that effective detection mechanisms should be integrated into usual care, allowing for early interventions.

El tabaquismo y el consumo de sustancias durante el embarazo son importantes causas prevenibles de morbimortalidad, teniendo una relación bidireccional y deletérea con la salud mental de la madre y el niño. Como parte de la iniciativa WOMAP (Woman Mental Health and Addictions on Pregnancy), se estudiaron 2.014 embarazadas buscando describir la prevalencia de trastornos mentales y por uso de sustancias concurrentes, las tasas de tratamiento y los diagnósticos y la gravedad. Las participantes fueron evaluadas con la escala AC-OK y se les preguntó sobre sus hábitos tabáquicos y uso de servicios de salud mental/sustancias. De las participantes, 170 mujeres resultaron positivas para un trastorno mental y por uso de sustancias concurrentes (≥ 2 positivos a la subescala AC-OK-Salud Mental, ≥ 1 positivos a la subescala AC-OK-Sustancias y/o fumar más de una vez al mes y no estar en tratamiento) y fueron evaluadas en profundidad mediante una batería de escalas (Patient Health Questionnaire [PHQ-9], General Anxiety Disorder [GAD-7], Post-traumatic stress disorder Checklist [PCL-5], Alcohol Use Disorders Identification Test [AUDIT], Drug Abuse Screening Test [DAST] y Fagerström).En el último año, 614 mujeres (30,5%) fumaron tabaco (42,5% diariamente) y el 9,8% fueron positivas para problemas por uso de sustancias y salud mental según la AC-OK. Solo el 11,1% había recibido tratamiento en los tres meses previos y solo un 13,6% tenía una cita en el siguiente mes. De las 170 pacientes evaluadas secundariamente, 62(36,5%) presentaron al menos depresión moderada, 35(20,6%) al menos ansiedad moderada, 32(18,8%) fueron positivas a la PCL-5, y 37 de las 88 que reconocieron uso de alcohol puntuaron por encima del umbral en AUDIT (≥ 3). En conclusión, la combinación de una prevalencia significativa junto con bajas tasas de tratamiento, remarcan la necesidad de mecanismos de detección efectivos en la atención habitual, permitiendo una intervención temprana.

Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review.

PURPOSE OF REVIEW: Ecological momentary assessment (EMA) is a recently introduced approach to patient evaluation that consists of asking patients questions in real time and in their usual habitat. This method seeks to contribute to suicide prevention by providing psychiatrists with detailed information about suicidal thoughts and behavior, how these fluctuate over short periods of time, and the short-term risk factors presented by patients. We conducted a systematic review of published research using EMA to study suicidal thoughts and behavior. RECENT FINDINGS: Several systematic reviews of EMA in mental health have been conducted to date, and the literature contains numerous theoretical papers and compilations on EMA and suicide phenomena. To date, however, no systematic reviews have explored the use of this tool to study suicidal thoughts and behavior. We performed a systematic review of five databases (i.e., PubMed, Embase, Scopus, Web of Science, and PsycINFO) to identify studies on EMA and suicidal thoughts and behavior. An initial search revealed 544 articles. Following the study selection process, 35 studies were included in the review. Almost three-quarters of the studies were published in the last 4 years. The studies reviewed concluded that EMA was generally feasible and well accepted. EMA findings correlated well with the results of a retrospective assessment, though tended to over-represent symptom severity. Our review points to important aspects of suicidal thoughts and behavior, such as its wide fluctuation over short periods of time. Negative affect and disturbed sleep, among others, emerged as short-term predictors of suicidal thoughts and behavior. Therefore, EMA is a potentially useful tool in clinical practice, although not without drawbacks, such as participant fatigue with questionnaires and ethical concerns.

Cost-effectiveness of a Contact Intervention and a Psychotherapeutic Program for Post-discharge Suicide Prevention.

OBJECTIVE: To determine the cost-effectiveness of 2 strategies for post-discharge suicide prevention, an Enhanced Contact intervention based on repeated in-person and telephone contacts, and an individual 2-month long problem-solving Psychotherapy program, in comparison to facilitated access to outpatient care following a suicide attempt. METHODS: We conducted a cost-effectiveness analysis based on a decision tree between January and December 2019. Comparative effectiveness estimates were obtained from an observational study conducted between 2013 and 2017 in Madrid, Spain. Electronic health care records documented resource use (including extra-hospital emergency care, mortality, inpatient admission, and disability leave). Direct cost data were derived from Madrid's official list of public health care prices. Indirect cost data were derived from Spain's National Institute of Statistics. RESULTS: Both augmentation strategies were more cost-effective than a single priority outpatient appointment considering reasonable thresholds of willingness to pay. Under the base-case scenario, Enhanced Contact and Psychotherapy incurred, respectively, €2,340 and 6,260 per averted attempt, compared to a single priority appointment. Deterministic and probabilistic sensitivity analyses showed both augmentation strategies to remain cost-effective under several scenarios. Enhanced Contact was slightly cost minimizing in comparison to Psychotherapy (base-case scenario: €-196 per averted attempt). CONCLUSIONS: Two post-discharge suicide prevention strategies based on Enhanced Contact and Psychotherapy were cost-effective in comparison to a single priority appointment. Increasing contacts between suicide attempters and mental health-care providers was slightly cost minimizing compared to psychotherapy.

Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study.

BACKGROUND: Ecological momentary assessment (EMA) tools appear to be useful interventions for collecting real-time data on patients' behavior and functioning. However, concerns have been voiced regarding the acceptability of EMA among patients with schizophrenia and the factors influencing EMA acceptability. OBJECTIVE: The aim of this study was to investigate the acceptability of a passive smartphone-based EMA app, evidence-based behavior (eB2), among patients with schizophrenia spectrum disorders and the putative variables underlying their acceptance. METHODS: The participants in this study were from an ongoing randomized controlled trial (RCT) of metacognitive training, consisting of outpatients with schizophrenia spectrum disorders (F20-29 of 10th revision of the International Statistical Classification of Diseases and Related Health Problems), aged 18-64 years, none of whom received any financial compensation. Those who consented to installation of the eB2 app (users) were compared with those who did not (nonusers) in sociodemographic, clinical, premorbid adjustment, neurocognitive, psychopathological, insight, and metacognitive variables. A multivariable binary logistic regression tested the influence of the above (independent) variables on "being user versus nonuser" (acceptability), which was the main outcome measure. RESULTS: Out of the 77 RCT participants, 24 (31%) consented to installing eB2, which remained installed till the end of the study (median follow-up 14.50 weeks) in 14 participants (70%). Users were younger and had a higher education level, better premorbid adjustment, better executive function (according to the Trail Making Test), and higher cognitive insight levels (measured with the Beck Cognitive Insight Scale) than nonusers (univariate analyses) although only age (OR 0.93, 95% CI 0.86-0.99; P=.048) and early adolescence premorbid adjustment (OR 0.75, 95% CI 0.61-0.93; P=.01) survived the multivariable regression model, thus predicting eB2 acceptability. CONCLUSIONS: Acceptability of a passive smartphone-based EMA app among participants with schizophrenia spectrum disorders in this RCT where no participant received financial compensation was, as expected, relatively low, and linked with being young and good premorbid adjustment. Further research should examine how to increase EMA acceptability in patients with schizophrenia spectrum disorders, in particular, older participants and those with poor premorbid adjustment. TRIAL REGISTRATION: ClinicalTrials.gov NCT04104347; https://clinicaltrials.gov/ct2/show/NCT04104347.

Clinical Note: Bipolar disorder in Cerebrotendinous Xanthomatosis: a case report.

Cerebrotendinous X anthomatosis (CTX) is a rare autosomal recessive disorder presenting with possible psychiatric manifestations that, once established, are difficult to control. We present the case of a 29-year-old woman diagnosed with CTX who developed bipolar disorder. Owing to difficulties in pharmacological management, the patient underwent electroconvulsive therapy (ECT), which lead to a favorable outcome. Little is known about the treatment of psychiatric symptoms of CTX, un uncommon disorder, though ECT may be an effective and safe approach.

Precision Medicine and Suicide: an Opportunity for Digital Health.

PURPOSE OF REVIEW: A better understanding of suicide phenomena is needed, and precision medicine is a promising approach toward this aim. In this manuscript, we review recent advances in the field, with particular focus on the role of digital health. RECENT FINDINGS: Technological advances such as smartphone-based ecological momentary assessment and passive collection of information from sensors provide a detailed description of suicidal behavior and thoughts. Further, we review more traditional approaches in the field of genetics. We first highlight the need for precision medicine in suicidology. Then, in light of recent and promising research, we examine the role of smartphone-based information collection using explicit (active) and implicit (passive) means to construct a digital phenotype, which should be integrated with genetic and epigenetic data to develop tailored therapeutic and preventive approaches for suicide.

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies to collect data and extract relevant information's for patient management. Artificial intelligence (AI) techniques allow processing of real-time observational information and continuously learning from data to build understanding. We designed a system able to get clinical sense from digital footprints based on the smartphone's native sensors and advanced machine learning and signal processing techniques in order to identify suicide risk. METHOD/DESIGN: The Smartcrisis study is a cross-national comparative study. The study goal is to determine the relationship between suicide risk and changes in sleep quality and disturbed appetite. Outpatients from the Hospital Fundación Jiménez Díaz Psychiatry Department (Madrid, Spain) and the University Hospital of Nimes (France) will be proposed to participate to the study. Two smartphone applications and a wearable armband will be used to capture the data. In the intervention group, a smartphone application (MEmind) will allow for the ecological momentary assessment (EMA) data capture related with sleep, appetite and suicide ideations. DISCUSSION: Some concerns regarding data security might be raised. Our system complies with the highest level of security regarding patients' data. Several important ethical considerations related to EMA method must also be considered. EMA methods entails a non-negligible time commitment on behalf of the participants. EMA rely on daily, or sometimes more frequent, Smartphone notifications. Furthermore, recording participants' daily experiences in a continuous manner is an integral part of EMA. This approach may be significantly more than asking a participant to complete a retrospective questionnaire but also more accurate in terms of symptoms monitoring. Overall, we believe that Smartcrises could participate to a paradigm shift from the traditional identification of risks factors to personalized prevention strategies tailored to characteristics for each patient. TRIAL REGISTRATION NUMBER: NCT03720730. Retrospectively registered.

Ecological Assessment of Clinicians' Antipsychotic Prescription Habits in Psychiatric Inpatients: A Novel Web- and Mobile Phone-Based Prototype for a Dynamic Clinical Decision Support System.

BACKGROUND: Electronic prescribing devices with clinical decision support systems (CDSSs) hold the potential to significantly improve pharmacological treatment management. OBJECTIVE: The aim of our study was to develop a novel Web- and mobile phone-based application to provide a dynamic CDSS by monitoring and analyzing practitioners' antipsychotic prescription habits and simultaneously linking these data to inpatients' symptom changes. METHODS: We recruited 353 psychiatric inpatients whose symptom levels and prescribed medications were inputted into the MEmind application. We standardized all medications in the MEmind database using the Anatomical Therapeutic Chemical (ATC) classification system and the defined daily dose (DDD). For each patient, MEmind calculated an average for the daily dose prescribed for antipsychotics (using the N05A ATC code), prescribed daily dose (PDD), and the PDD to DDD ratio. RESULTS: MEmind results found that antipsychotics were used by 61.5% (217/353) of inpatients, with the largest proportion being patients with schizophrenia spectrum disorders (33.4%, 118/353). Of the 217 patients, 137 (63.2%, 137/217) were administered pharmacological monotherapy and 80 (36.8%, 80/217) were administered polytherapy. Antipsychotics were used mostly in schizophrenia spectrum and related psychotic disorders, but they were also prescribed in other nonpsychotic diagnoses. Notably, we observed polypharmacy going against current antipsychotics guidelines. CONCLUSIONS: MEmind data indicated that antipsychotic polypharmacy and off-label use in inpatient units is commonly practiced. MEmind holds the potential to create a dynamic CDSS that provides real-time tracking of prescription practices and symptom change. Such feedback can help practitioners determine a maximally therapeutic drug treatment while avoiding unproductive overprescription and off-label use.

One-year follow-up study of first suicide attempts in first episode psychosis: Personality traits and temporal pattern.

OBJECTIVES: The highest suicide rates occur after psychiatric hospitalization or soon after discharge. In addition to other factors, personality traits have been suggested as predictors of suicide attempts (SA) after first episode psychosis (FEP). In this study we examined their temporal pattern and the influence of personality traits on first suicide attempts (fSA) during one year after FEP. METHOD: One-year follow-up of 65 FEP patients. Bivariate and multivariable analyses were performed to explore the relationship between personality traits and fSA. This analysis was also adjusted for a set of sociodemographic, clinical and psychopathological variables. RESULTS: fSAs in the six months following FEP were predicted by higher scores in passive-dependent personality traits (OR = 2.42, 95% CI = 1.15-5.09) and severity of symptoms at onset (OR = 2.00, 95% CI = 1.07-3.76). Severity of symptoms at onset (OR = 2.71, CI = 1.15-6.39) was the most significant predictor of fSA from six to twelve months after FEP. Seventy percent of fSA occurred during the first six months after FEP, decreasing considerably afterwards. CONCLUSIONS: Our study suggests that personality traits play a role in fSA after FEP. Specifically, passive-dependent personality traits emerged as a predictor of fSA in the six months following FEP. Severity of symptoms at onset predicted early and late first suicide attempts. We also found that risk of fSA is highest during the six months following FEP. These results can contribute to the implementation of prevention program.

Smartphone-based safety plan for suicidal crisis: The SmartCrisis 2.0 pilot study.

Here we present the findings of the pilot phase of the SmartCrisis 2.0 Randomized Clinical Trial. This pilot study aimed to explore the feasibility and acceptability of a safety plan contained in a smartphone app. Our sample consisted patients with a history of recent suicidal behaviour who installed a smartphone-based safety plan. To explore the satisfaction with of the safety plan, two patient satisfaction surveys were conducted: one qualitative and one quantitative. To explore the objective use of the safety plan, we gained access to texts contained in the safety plans completed by the patients. Participation rate was 77%, while 48.9% patients completed both satisfaction surveys at the end of the pilot phase. N = 105 successfully installed the safety plan. In a scale from 1 to 10, users rated the usefulness of the security plan at 7.4, the usability at 8.9, the degree to which they would recommend it to others at 8.6 and the overall satisfaction with the project including evaluations at 9.6. The most widely completed tab was warning signs. Feeling sad or lonely was the warning sign most commonly reported by patients. The second most completed tab was internal coping strategies. Walking or practicing any other exercise was the strategy most commonly resorted to. Our smartphone-based safety plan appears to be a feasible intervention. Data obtained from this pilot study showed high participation rates and high acceptability by patients. This, together with the general satisfaction with the project, supports its implementation in the clinical practice.

Predictors of clinical insight in first-episode psychosis: Different patterns in men and women.

BACKGROUND: We aimed to explore gender-related differences in the associations of insight impairment with clinical symptoms, metacognition, and social cognition in psychosis. METHODS: Regression analysis of several clinical insight dimensions was conducted on the data from 116 men and 56 women with first-episode psychosis. Various clinical symptoms and measures of metacognition and social cognition were entered as predictors. RESULTS: In both men and women, delusions emerged as a strong predictor of all insight dimensions, and verbal hallucinations as a strong predictor of symptom relabelling. In men, certain negative symptoms as well as self-certainty, lack of self-reflectiveness, impaired theory of mind, attributional biases, and a jumping-to-conclusions bias were additional predictors of poor insight, while good insight was associated with depression, anxiety, avolition, blunted affect, and impaired emotional recognition. In women, poor insight was associated with a self-serving/externalising bias, impaired emotional recognition, and attention disorders. CONCLUSIONS: Poor insight in first-episode psychosis is strongly linked to deficits in metacognition and social cognition, with marked differences between men and women with respect to the specific skills involved in the impairment. Meanwhile, good insight is linked to a variety of affective manifestations in men. These findings suggest new avenues for more targeted cognitive interventions to improve clinical insight in psychosis.

Cognitive insight in first-episode psychosis: Exploring the complex relationship between executive functions and social cognition.

Social cognition (SC) and executive function (EF) have been described as important variables for social functioning and recovery of patients with psychosis. However, the relationship between SC and EF in first-episode psychosis (FEP) deserves further investigation, especially focusing on gender differences. AIMS: To investigate the relationship between EF and different domains of SC in FEP patients and to explore gender differences in the relationship between these domains. METHODS: A cross-sectional study of 191 patients with new-onset psychosis recruited from two multicenter clinical trials. A comprehensive cognitive battery was used to assess SC (Hinting Task, Face Test and IPSAQ) and EF (TMT, WSCT, Stroop Test and digit span - WAIS-III). Pearson correlations and linear regression models were performed. RESULTS: A correlation between Theory of Mind (ToM), Emotional Recognition (ER) and EF was found using the complete sample. Separating the sample by gender showed different association profiles between these variables in women and men. CONCLUSIONS: A relationship between different domains of SC and EF is found. Moreover, women and men presented distinct association profiles between EF and SC. These results should be considered in order to improve the treatment of FEP patients and designing personalized interventions by gender.

A One-Year Follow Up Study on Disability in Mental Health Nursing Practice.

Disability is common in patients with mental disorders, and therapeutic approaches should promote functional recovery to achieve the highest quality of life. This study reports changes in WHODAS 2.0 scores at 1 year of follow-up among patients receiving care from a single mental-health nurse in a community setting in Spain and compare these changes by diagnosis (SMI vs. CMI). Baseline and 1-year follow-up scores were compared. For all participants, we collected sociodemographic information, clinical diagnosis, and disability scores according to WHODAS 2.0. Participating patients received the usual, non-manualized nursing intervention. Our sample comprised 133 patients, 75 of whom were assessed after 1 year. All patients had improved WHODAS 2.0 scores (difference of 9.20 ± 2.42; p < .001) in all domains except those domains related to work ("Life activities") and relationships ("Getting along"). Furthermore, almost half of the patients studied were no longer undergoing treatment with the nurse at 1-year follow-up.

Text mining methods for the characterisation of suicidal thoughts and behaviour.

Traditional research methods have shown low predictive value for suicidal risk assessments and limitations to be applied in clinical practice. The authors sought to evaluate natural language processing as a new tool for assessing self-injurious thoughts and behaviors and emotions related. We used MEmind project to assess 2838 psychiatric outpatients. Anonymous unstructured responses to the open-ended question "how are you feeling today?" were collected according to their emotional state. Natural language processing was used to process the patients' writings. The texts were automatically represented (corpus) and analyzed to determine their emotional content and degree of suicidal risk. Authors compared the patients' texts with a question used to assess lack of desire to live, as a suicidal risk assessment tool. Corpus consists of 5,489 short free-text documents containing 12,256 tokenized or unique words. The natural language processing showed an ROC-AUC score of 0.9638 when compared with the responses to lack of a desire to live question. Natural language processing shows encouraging results for classifying subjects according to their desire not to live as a measure of suicidal risk using patients' free texts. It is also easily applicable to clinical practice and facilitates real-time communication with patients, allowing better intervention strategies to be designed.

Relationship between cognition and suicidal behavior in recent-onset psychosis.

Suicidal behavior (SB) is common in first-episode psychosis (FEP), and cognitive impairment has also been described in psychosis. Despite well-established risk factors for SB in psychosis, the role of cognition and insight remains unclear. This study aimed to explore the relationship between history of SB and cognition in recent-onset FEP, distinguishing between neurocognition, social cognition, and metacognition, and including cognitive insight (CI) as a metacognitive variable. The sample consisted of 190 participants with recent-onset FEP recruited from two multicentric studies. Two groups were formed based on presence/absence of a history of SB. Demographic, clinical, and cognitive data were compared by group, including significance level adjustments and size effect calculation. No differences were found regarding demographic, clinical, neurocognitive, social cognition, and metacognitive variables except for CI (18.18 ± 4.87; t = -3.16; p = 0.0020; d = -0.635), which showed a medium effect size. Small to medium effect size were found for attributional style (externalizing bias) (1.15 ± 3.94; t = 2.07; d = 0.482), theory of mind (ToM) (1.73 ± 0.22; t = 2.04; d = -0.403), jumping to conclusions bias (JTC) (23.3 %; X2 = 0.94; V = 0.178). In recent-onset psychosis, neurocognitive functioning was not related to the history of SB. As novelty, individuals with previous SB showed higher CI. Also, regarding social cognition and metacognition, individuals with prior SB tended to present extremely low externalizing bias, better ToM, and presence of JTC.