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OBJECTIVE: Verbal communication has key information for mental health evaluation. Researchers have linked psychopathology phenomena to some of their counterparts in natural-language-processing (NLP). We study the characterization of subtle impairments presented in early stages of psychosis, developing new analysis techniques and a comprehensive map associating NLP features with the full range of clinical presentation. METHODS: We used NLP to assess elicited and free-speech of 60 individuals in at-risk-mental-states (ARMS) and 73 controls, screened from 4,500 quota-sampled Portuguese speaking citizens in Sao Paulo, Brazil. Psychotic symptoms were independently assessed with Structured-Interview-for-Psychosis-Risk-Syndromes (SIPS). Speech features (e.g.sentiments, semantic coherence), including novel ones, were correlated with psychotic traits (Spearman's-ρ) and ARMS status (general linear models and machine-learning ensembles). RESULTS: NLP features were informative inputs for classification, which presented 86% balanced accuracy. The NLP features brought forth (e.g. Semantic laminarity as 'perseveration', Semantic recurrence time as 'circumstantiality', average centrality in word repetition graphs) carried most information and also presented direct correlations with psychotic symptoms. Out of the standard measures, grammatical tagging (e.g. use of adjectives) was the most relevant. CONCLUSION: Subtle speech impairments can be grasped by sensitive methods and used for ARMS screening. We sketch a blueprint for speech-based evaluation, pairing features to standard thought disorder psychometric items.
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Conversations about open science have reached the mainstream, yet many open science practices such as data sharing remain uncommon. Our efforts towards openness therefore need to increase in scale and aim for a more ambitious target. We need an ecosystem not only where research outputs are openly shared but also in which transparency permeates the research process from the start and lends itself to more rigorous and collaborative research. To support this vision, this Essay provides an overview of a selection of open science initiatives from the past 2 decades, focusing on methods transparency, scholarly communication, team science, and research culture, and speculates about what the future of open science could look like. It then draws on these examples to provide recommendations for how funders, institutions, journals, regulators, and other stakeholders can create an environment that is ripe for improvement.
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Comunicación , Ecosistema , Difusión de la Información , Comunicación AcadémicaRESUMEN
AIMS: Our study aimed to develop a machine learning ensemble to distinguish "at-risk mental states for psychosis" (ARMS) subjects from control individuals from the general population based on facial data extracted from video-recordings. METHODS: 58 non-help-seeking medication-naïve ARMS and 70 healthy subjects were screened from a general population sample. At-risk status was assessed with the Structured Interview for Prodromal Syndromes (SIPS), and "Subject's Overview" section was filmed (5-10 min). Several features were extracted, e.g., eye and mouth aspect ratio, Euler angles, coordinates from 51 facial landmarks. This elicited 649 facial features, which were further selected using Gradient Boosting Machines (AdaBoost combined with Random Forests). Data was split in 70/30 for training, and Monte Carlo cross validation was used. RESULTS: Final model reached 83 % of mean F1-score, and balanced accuracy of 85 %. Mean area under the curve for the receiver operator curve classifier was 93 %. Convergent validity testing showed that two features included in the model were significantly correlated with Avolition (SIPS N2 item) and expression of emotion (SIPS N3 item). CONCLUSION: Our model capitalized on short video-recordings from individuals recruited from the general population, effectively distinguishing between ARMS and controls. Results are encouraging for large-screening purposes in low-resource settings.
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Trastornos Psicóticos , Humanos , Trastornos Psicóticos/psicología , Aprendizaje Automático , Síntomas ProdrómicosRESUMEN
Nonverbal communication (NVC) is a complex behavior that involves different modalities that are impaired in the schizophrenia spectrum, including gesticulation. However, there are few studies that evaluate it in individuals with at-risk mental states (ARMS) for psychosis, mostly in developed countries. Given our prior findings of reduced movement during speech seen in Brazilian individuals with ARMS, we now aim to determine if this can be accounted for by reduced gesticulation behavior. Fifty-six medication-naïve ARMS and 64 healthy controls were filmed during speech tasks. The frequency of specifically coded gestures across four categories (and self-stimulatory behaviors) were compared between groups and tested for correlations with prodromal symptoms of the Structured Interview for Prodromal Syndromes (SIPS) and with the variables previously published. ARMS individuals showed a reduction in one gesture category, but it did not survive Bonferroni's correction. Gesture frequency was negatively correlated with prodromal symptoms and positively correlated with the variables of the amount of movement previously analyzed. The lack of significant differences between ARMS and control contradicts literature findings in other cultural context, in which a reduction is usually seen in at-risk individuals. However, gesture frequency might be a visual proxy of prodromal symptoms, and of other movement abnormalities. Results show the importance of analyzing NVC in ARMS and of considering different cultural and sociodemographic contexts in the search for markers of these states.
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BACKGROUND: Psychosocial assessment is a key component in evaluation for liver transplantation and may affect survival rates and outcomes. OBJECTIVE: The primary aim of this study was to investigate the impact of previous mental disorders and impulsivity on the 2-year surviving rate after liver transplantation. METHODS: We performed a prospective cohort study assessing end-stage liver disease individuals with and without psychiatric comorbidities for 2 years post-transplant. Psychiatric diagnosis was carried out through Mini-Plus 5.0.0 and impulsivity by using Barratt Impulsiveness Scale in the pre-transplant phase. We followed patient's status for 2 years after transplantation. The main outcome was death. We used a logistic regression to evaluate the association of psychiatric comorbidities with death and performed a survival analysis with Kaplan-Meier and Cox regression models. RESULTS: Between June 2010 and July 2014, 93 out of 191 transplant candidates received transplants. From the 93 transplant patients, 21 had psychiatric comorbidities and 72 had not. 25 patients died during the study. The presence of psychiatric comorbidities (P=0.353) and high impulsivity (P=0.272) were not associated to 2-year post transplant death. CONCLUSION: This study found no evidence that the presence of mental disorders and impulsivity worsened prognosis in post-liver transplantation.
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Enfermedad Hepática en Estado Terminal , Trasplante de Hígado , Trastornos Mentales , Humanos , Trasplante de Hígado/psicología , Estudios de Cohortes , Estudios Prospectivos , Trastornos Mentales/complicaciones , Trastornos Mentales/psicología , Estudios RetrospectivosRESUMEN
ABSTRACT Background Psychosocial assessment is a key component in evaluation for liver transplantation and may affect survival rates and outcomes. Objective The primary aim of this study was to investigate the impact of previous mental disorders and impulsivity on the 2-year surviving rate after liver transplantation. Methods: We performed a prospective cohort study assessing end-stage liver disease individuals with and without psychiatric comorbidities for 2 years post-transplant. Psychiatric diagnosis was carried out through Mini-Plus 5.0.0 and impulsivity by using Barratt Impulsiveness Scale in the pre-transplant phase. We followed patient's status for 2 years after transplantation. The main outcome was death. We used a logistic regression to evaluate the association of psychiatric comorbidities with death and performed a survival analysis with Kaplan-Meier and Cox regression models. Results: Between June 2010 and July 2014, 93 out of 191 transplant candidates received transplants. From the 93 transplant patients, 21 had psychiatric comorbidities and 72 had not. 25 patients died during the study. The presence of psychiatric comorbidities (P=0.353) and high impulsivity (P=0.272) were not associated to 2-year post transplant death. Conclusion: This study found no evidence that the presence of mental disorders and impulsivity worsened prognosis in post-liver transplantation.
RESUMO Contexto: A avaliação psicossocial é essencial na avaliação para transplante hepático; ela pode afetar as taxas de sobrevida e outros desfechos. Objetivo: O objetivo principal deste estudo foi investigar o impacto de transtornos mentais prévios e impulsividade nos índices de sobrevivência após o transplante hepático. Métodos: Foi realizado um estudo prospectivo de coorte com indivíduos em estágio avançado da doença hepática com e sem comorbidades psiquiátricas no pré-transplante, acompanhados por 2 anos após o transplante. Na fase pré-transplante foi realizado o diagnóstico psiquiátrico através do Mini-Plus 5.0.0 e avaliada a impulsividade através da Escala de Impulsividade Barratt. Os pacientes foram acompanhados por 2 anos após o transplante. O desfecho principal foi óbito. Foi utilizada regressão logística para avaliar a associação entre comorbidades psiquiátricas e óbito. Também foi realizada análise de sobrevida com Kaplan-Meier e modelo de regressão Cox. Resultados: Entre junho de 2010 e julho de 2014 foram transplantados 93 pacientes entre os 191 candidatos. Dos 93 pacientes transplantados, 21 tinham comorbidade psiquiátrica e 72 não tinham. Durante o período de acompanhamento houve 25 óbitos. A presença de comorbidade psiquiátrica (P=0.353) e alta impulsividade (P=0.272) não foram associadas a óbito pós-transplante até segundo ano de cirurgia. Conclusão: Este estudo não encontrou evidências de que a presença de transtorno mental e impulsividade pioram o prognóstico pós-transplante hepático.
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Recent developments in artificial intelligence technologies have come to a point where machine learning algorithms can infer mental status based on someone's photos and texts posted on social media. More than that, these algorithms are able to predict, with a reasonable degree of accuracy, future mental illness. They potentially represent an important advance in mental health care for preventive and early diagnosis initiatives, and for aiding professionals in the follow-up and prognosis of their patients. However, important issues call for major caution in the use of such technologies, namely, privacy and the stigma related to mental disorders. In this paper, we discuss the bioethical implications of using such technologies to diagnose and predict future mental illness, given the current scenario of swiftly growing technologies that analyze human language and the online availability of personal information given by social media. We also suggest future directions to be taken to minimize the misuse of such important technologies.
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Individuals with PTSD have an increased risk of drug use disorders. Conversely, we aim to evaluate how early onset of alcohol, tobacco and psychoactive drugs use are associated with PTSD later in life. 2,193 brazilian young adults completed modularized assessments: The Trauma History Questionnaire, Post-Traumatic Stress Disorder Checklist-Civilian Version (PCL-C, transformed to PCL-5 through a crosswalk procedure), the Barratt Impulsivity Scale; and a survey on drug use with self-report questions about first use, current use, frequency, quantity, and interpersonal consequences. Bayesian inference and multivariate regression models were used to examine the effects on the risk of PTSD, considering different assumptions of information flow. Raw and unbiased (multivariate) estimates consistently revealed that earlier age of onset of alcohol and tobacco use increased risk for PTSD (Odds-ratios between 2.39 and 3.19 (Alcohol) and 1.82 to 2.05 (Tobacco). Among those who had PTSD (310), 10.3% (32) were very precocious at the onset age (12 to 18 years) of alcohol consumption (No-PTSD: 89 out 1883, 4.7%). Data supports a model in which age of onset effects are partially mediated by the number of trauma exposures. Early intoxication might suggest vulnerability for qualifying trauma events, or it may increase chances of exposure. Also, PTSD may be more likely to occur among trauma-exposed individuals with early intoxicating experiences due to alcohol or drug self-administration. The last possibility resonates with the idea that early intoxication might disrupt adolescent brain development, with a subsequent reduction in resilience when qualifying trauma events occur.
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Preparaciones Farmacéuticas , Trastornos por Estrés Postraumático , Adolescente , Consumo de Bebidas Alcohólicas , Teorema de Bayes , Censos , Niño , Humanos , Trastornos por Estrés Postraumático/epidemiología , Adulto JovenRESUMEN
OBJECTIVE: In 2020, the COVID-19 pandemic brought a work and stress overload to healthcare workers, increasing their vulnerability to mental health impairments. In response, the authors created the COMVC-19 program. The program offered preventive actions and mental health treatment for the 22,000 workers of The Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP). This paper aims to describe its implementation and share what we have learned from this experience. METHODS: Workers were able to easily access the program through a 24/7 hotline. Additionally, a mobile phone app that screened for signs and symptoms of emotional distress and offered psychoeducation and/or referral to treatment was made available. Data from both these sources as well as any subsequent psychiatric evaluations were collected. RESULTS: The first 20 weeks of our project revealed that most participants were female, and part of the nursing staff working directly with COVID-19 patients. The most frequently reported symptoms were: anxiety, depression and sleep disturbances. The most common diagnoses were Adjustment, Anxiety, and Mood disorders. CONCLUSIONS: Implementing a mental health program in a multimodal intervention was feasible in a major quaternary public hospital. Our data also suggests that preventive actions should primarily be aimed at anxiety and depression symptoms, with a particular focus on the nursing staff.
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COVID-19 , Ansiedad/epidemiología , Ansiedad/prevención & control , Brasil/epidemiología , Depresión , Femenino , Personal de Salud , Humanos , Salud Mental , Pandemias , SARS-CoV-2RESUMEN
INTRODUCTION: Anhedonia is defined as the reduced ability to feel pleasure and is a core symptom of various psychiatric disorders such as depression and schizophrenia. The Snaith-Hamilton Pleasure Scale (SHAPS) was developed to assess the presence of anhedonia. The objective of this study was to assess the psychometric properties of the Brazilian Portuguese version of the SHAPS. METHODS: In this study, the SHAPS (14 items) was translated into Brazilian Portuguese and validated using data obtained from 228 subjects within a clinical sample. Psychometric properties were assessed using item response theory (logistic models) and classical test theory (Cronbach's alpha). We checked for external validity using a non-parametric correlation with an independent scale: Hospital Anxiety and Depression Scale - Depression subscale (HAD-D). RESULTS: The SHAPS presented good internal consistency, with a Cronbach's α coefficient of 0.759 and adequacy to an IRT 1 parameter logistic (Rasch) model. The SHAPS presented significant correlation with the external measure HAD-D, with Spearman's ρ = 0.249 (S = 1368914; p < 0.001). CONCLUSION: These results suggest that the Brazilian Portuguese version of the SHAPS is a reliable and valid instrument to assess hedonic tone.
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Trastorno Depresivo Mayor , Placer , Brasil , Humanos , Escalas de Valoración Psiquiátrica , Psicometría , Reproducibilidad de los ResultadosRESUMEN
OBJECTIVE: In 2020, the COVID-19 pandemic brought a work and stress overload to healthcare workers, increasing their vulnerability to mental health impairments. In response, the authors created the COMVC-19 program. The program offered preventive actions and mental health treatment for the 22,000 workers of The Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP). This paper aims to describe its implementation and share what we have learned from this experience. METHODS: Workers were able to easily access the program through a 24/7 hotline. Additionally, a mobile phone app that screened for signs and symptoms of emotional distress and offered psychoeducation and/or referral to treatment was made available. Data from both these sources as well as any subsequent psychiatric evaluations were collected. RESULTS: The first 20 weeks of our project revealed that most participants were female, and part of the nursing staff working directly with COVID-19 patients. The most frequently reported symptoms were: anxiety, depression and sleep disturbances. The most common diagnoses were Adjustment, Anxiety, and Mood disorders. CONCLUSIONS: Implementing a mental health program in a multimodal intervention was feasible in a major quaternary public hospital. Our data also suggests that preventive actions should primarily be aimed at anxiety and depression symptoms, with a particular focus on the nursing staff.
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Humanos , Femenino , COVID-19 , Ansiedad/prevención & control , Ansiedad/epidemiología , Brasil/epidemiología , Salud Mental , Personal de Salud , Depresión , Pandemias , SARS-CoV-2RESUMEN
Objective: Obstacles for computational tools in psychiatry include gathering robust evidence and keeping implementation costs reasonable. We report a systematic review of automated speech evaluation for the psychosis spectrum and analyze the value of information for a screening program in a healthcare system with a limited number of psychiatrists (Maputo, Mozambique). Methods: Original studies on speech analysis for forecasting of conversion in individuals at clinical high risk (CHR) for psychosis, diagnosis of manifested psychotic disorder, and first-episode psychosis (FEP) were included in this review. Studies addressing non-verbal components of speech (e.g., pitch, tone) were excluded. Results: Of 168 works identified, 28 original studies were included. Valuable speech features included direct measures (e.g., relative word counting) and mathematical embeddings (e.g.: word-to-vector, graphs). Accuracy estimates reported for schizophrenia diagnosis and CHR conversion ranged from 71 to 100% across studies. Studies used structured interviews, directed tasks, or prompted free speech. Directed-task protocols were faster while seemingly maintaining performance. The expected value of perfect information is USD 9.34 million. Imperfect tests would nevertheless yield high value. Conclusion: Accuracy for screening and diagnosis was high. Larger studies are needed to enhance precision of classificatory estimates. Automated analysis presents itself as a feasible, low-cost method which should be especially useful for regions in which the physician pool is insufficient to meet demand.
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Humanos , Trastornos Psicóticos/diagnóstico , Esquizofrenia , Habla , Tamizaje MasivoRESUMEN
OBJECTIVE: Obstacles for computational tools in psychiatry include gathering robust evidence and keeping implementation costs reasonable. We report a systematic review of automated speech evaluation for the psychosis spectrum and analyze the value of information for a screening program in a healthcare system with a limited number of psychiatrists (Maputo, Mozambique). METHODS: Original studies on speech analysis for forecasting of conversion in individuals at clinical high risk (CHR) for psychosis, diagnosis of manifested psychotic disorder, and first-episode psychosis (FEP) were included in this review. Studies addressing non-verbal components of speech (e.g., pitch, tone) were excluded. RESULTS: Of 168 works identified, 28 original studies were included. Valuable speech features included direct measures (e.g., relative word counting) and mathematical embeddings (e.g.: word-to-vector, graphs). Accuracy estimates reported for schizophrenia diagnosis and CHR conversion ranged from 71 to 100% across studies. Studies used structured interviews, directed tasks, or prompted free speech. Directed-task protocols were faster while seemingly maintaining performance. The expected value of perfect information is USD 9.34 million. Imperfect tests would nevertheless yield high value. CONCLUSION: Accuracy for screening and diagnosis was high. Larger studies are needed to enhance precision of classificatory estimates. Automated analysis presents itself as a feasible, low-cost method which should be especially useful for regions in which the physician pool is insufficient to meet demand.
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Trastornos Psicóticos , Esquizofrenia , Humanos , Tamizaje Masivo , Trastornos Psicóticos/diagnóstico , HablaRESUMEN
INTRODUCTION AND OBJECTIVES: Hepatitis C virus (HCV) and human T-cell lymphotropic virus type 1 (HTLV-1) infections have chronic courses. HCV is primarily transmitted via the hematogenous route, whereas HTLV-1 is primarily transmitted sexually, although it can also be transmitted by blood. Individuals chronically infected with either HTLV-1 or HCV can differ in terms of behavioral characteristics and personality traits. This study compared the occurrence of risk behaviors and impulsivity aspects between HCV and HTLV-1 carriers. MATERIALS AND METHODS: Observational, comparative and cross-sectional study that involved a sample of outpatients who had HCV or HLTV-1, by way of a sociodemographic and behavioral questionnaire and the Barratt Impulsiveness Scale - BIS-11. 143 individuals with HCV and 113 individuals with HTLV-1 were evaluated. RESULTS: There was a difference with regards to gender among patients, with mostly males affected in the HCV group. Risk behaviors commonly mediated by impulsiveness were significantly more frequent in the HCV group. Similarly, overall impulsiveness and domain nonplanning were higher in the HCV group. Multivariate analysis showed that increased age, male gender, higher nonplanning scores and HCV infection were independent factors for the occurrence of risk behaviors. Both groups presented high rates of other sexually transmitted diseases and a low rate of condom use in sexual relations. CONCLUSIONS: This study confirms the higher rate of risk behaviors and the levels of impulsiveness commonly observed in patients with HCV, along with comparisons to patients with HTLV-1.
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Infecciones por HTLV-I/psicología , Hepatitis C Crónica/psicología , Conducta Impulsiva , Asunción de Riesgos , Conducta Sexual/estadística & datos numéricos , Abuso de Sustancias por Vía Intravenosa/epidemiología , Factores de Edad , Condones/estadística & datos numéricos , Estudios Transversales , Femenino , Infecciones por HTLV-I/epidemiología , Hepatitis C Crónica/epidemiología , Humanos , Masculino , Persona de Mediana Edad , Análisis Multivariante , Factores Sexuales , Parejas Sexuales , Enfermedades de Transmisión Sexual/epidemiología , Trastornos Relacionados con Sustancias/epidemiología , Sexo Inseguro/estadística & datos numéricosRESUMEN
Abstract Human T-cell lymphotropic virus type 1 (HTLV-1) has low prevalence rates, but is endemic in some regions of the world. It is usually a chronic asymptomatic infection, but it can be associated with serious neurologic and urinary conditions. Hepatitis C virus (HCV) is broadly spread out worldwide. The majority of these infections have a chronic course that may progress to cirrhosis and hepatocellular carcinoma. Objectives: To compare sociodemographic and mental health (risk behaviors, depression, and suicide) aspects, and quality of life among patients with HCV or HTLV-1. Methods: Observational, comparative and cross-sectional study involving outpatients with HCV or HLTV-1 infection. Sociodemographic characteristics, risk behaviors and quality of life were assessed through the questionnaires Mini International Neuropsychiatric Interview - MINI Plus (depression and suicide) and Medical Outcomes Study 36-Item Short-Form Health Survey (quality of life). Univariate and multivariate statistical analyses (hierarchical logistic regression) were conducted. Results: 143 individuals with HCV and 113 individuals with HTLV-1 infection were included. Males were predominant in the HCV group (68.8%) and females in the HTLV-1 group (71.7%). The frequency of risk behaviors (sexual and drug use) was greater in those with HCV (p < 0.05). A past depressive episode was more common in the HTLV-1 group (p = 0.037). Quality of life was significantly worse in the physical functioning, vitality, mental health, and social functioning domains in those with HTLV-1 (p < 0.05). HTLV-1 infection remained independently associated with worse quality of life in multivariate analysis. Conclusions: Risk behaviors are frequent among those infected with HCV. Additionally, despite HTLV-1 being considered an infection with low morbidity, issues related to mental health (depressive episode) and decreased quality of life are relevant.
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Humanos , Masculino , Femenino , Persona de Mediana Edad , Calidad de Vida/psicología , Asunción de Riesgos , Infecciones por HTLV-I/psicología , Hepatitis C/psicología , Depresión/virología , Escalas de Valoración Psiquiátrica , Conducta Sexual , Brasil , Salud Mental , Estudios Transversales , Análisis Multivariante , Encuestas y Cuestionarios , Factores de Riesgo , Estadísticas no Paramétricas , Ideación SuicidaRESUMEN
Human T-cell lymphotropic virus type 1 (HTLV-1) has low prevalence rates, but is endemic in some regions of the world. It is usually a chronic asymptomatic infection, but it can be associated with serious neurologic and urinary conditions. Hepatitis C virus (HCV) is broadly spread out worldwide. The majority of these infections have a chronic course that may progress to cirrhosis and hepatocellular carcinoma. OBJECTIVES: To compare sociodemographic and mental health (risk behaviors, depression, and suicide) aspects, and quality of life among patients with HCV or HTLV-1. METHODS: Observational, comparative and cross-sectional study involving outpatients with HCV or HLTV-1 infection. Sociodemographic characteristics, risk behaviors and quality of life were assessed through the questionnaires Mini International Neuropsychiatric Interview - MINI Plus (depression and suicide) and Medical Outcomes Study 36-Item Short-Form Health Survey (quality of life). Univariate and multivariate statistical analyses (hierarchical logistic regression) were conducted. RESULTS: 143 individuals with HCV and 113 individuals with HTLV-1 infection were included. Males were predominant in the HCV group (68.8%) and females in the HTLV-1 group (71.7%). The frequency of risk behaviors (sexual and drug use) was greater in those with HCV (pâ¯<â¯0.05). A past depressive episode was more common in the HTLV-1 group (pâ¯=â¯0.037). Quality of life was significantly worse in the physical functioning, vitality, mental health, and social functioning domains in those with HTLV-1 (pâ¯<â¯0.05). HTLV-1 infection remained independently associated with worse quality of life in multivariate analysis. CONCLUSIONS: Risk behaviors are frequent among those infected with HCV. Additionally, despite HTLV-1 being considered an infection with low morbidity, issues related to mental health (depressive episode) and decreased quality of life are relevant.