Eruptive xanthomas and acute pancreatitis in a patient with hypertriglyceridemia

Acute pancreatitis and eruptive xanthomas are the only recognised direct complications of severe hypertriglyceridaemia. We present the case of a 33-years old male patient in whom the onset of a type 2 diabetes, added to an unknown familial hyperlipidemia, precipitated a dramatic raise of serum triglyceride levels, that cause in turn an acute pancreatitis and the appearance of dermic eruptive xanthomas

Gender differences in addiction severity

Gender has been associated with substance use disorders (SUD). However, there are few studies that have evaluated gender differences in a global and a standardized way, and with a large sample of patients with SUD. Our goal is to analyze the role of gender in addiction severity throughout multiple life domains, using the Addiction Severity Index-6 (ASI-6). A naturalistic, multicenter and prospective study was conducted. A total of 221 patients with SUD (80.1% men) were interviewed with the ASI-6. Our results indicate that the Recent Summary Scores (RSSs) of men and women are similar, with the exception of Psychiatric and Partner- Problems, where women showed higher severity (p = .017 and p = .013, respectively). Statistically significant gender differences were found in certain aspects of the ASI-6 domains: men have more problems of physical health, legal issues, and alcohol and other substance use; and woman score higher in problems of mental health, social network, subjective evaluations of SUD consequences, and treatment needs. These results should be taken into account to improve the identification, prevention, and treatment of SUD.Se ha descrito que el género es un factor que condiciona los trastornos por uso de sustancias (TUS). Sin embargo, hay pocos estudios que hayan evaluado esas diferencias de género de manera global, estandarizada y en una muestra amplia de pacientes con TUS. Nuestro objetivo es analizar el rol del género en la gravedad de la adicción a través de los diversos dominios de vida mediante el Addiction Severity Index-6 (ASI-6). Se llevó a cabo un estudio naturalístico, multicéntrico y prospectivo con una muestra compuesta por 221 pacientes con TUS (80,1% hombres). Los participantes fueron entrevistados con el ASI-6. Los resultados han mostrado que las Puntuaciones Sumarias Recientes (PSRs) son similares entre hombres y mujeres a excepción de las correspondientes a Salud mental y Pareja- Problemas, donde las mujeres presentan mayor gravedad (p = 0,017 y p = 0,013, respectivamente). Por otra parte, se han encontrado diferencias estadísticamente significativas e diversos aspectos concretos de las áreas contempladas por el ASI-6, que indican que los hombres presentan más problemas en cuanto a salud física, cuestiones legales y uso de alcohol y drogas, y la mujeres en salud mental, red social y la valoración subjetiva sobre las consecuencias del TUS y la necesidad de tratamiento. Estos resultados deben tenerse en cuenta a la hora de implementar una mejora en la identificación, prevención y tratamiento de los TUS

Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach

[Abstract]: Any machine learning (ML) model is highly dependent on the data it uses for learning, and this is even more important in the case of deep learning models. The problem is a data bottleneck, i.e. the difficulty in obtaining an adequate number of cases and quality data. Another issue is improving the learning process, which can be done by actively introducing experts into the learning loop, in what is known as human-in-the-loop (HITL) ML. We describe an ML model based on a neural network in which HITL techniques were used to resolve the data bottleneck problem for the treatment of pancreatic cancer. We first augmented the dataset using synthetic cases created by a generative adversarial network. We then launched an active learning (AL) process involving human experts as oracles to label both new cases and cases by the network found to be suspect. This AL process was carried out simultaneously with an interactive ML process in which feedback was obtained from humans in order to develop better synthetic cases for each iteration of training. We discuss the challenges involved in including humans in the learning process, especially in relation to human–computer interaction, which is acquiring great importance in building ML models and can condition the success of a HITL approach. This paper also discusses the methodological approach adopted to address these challenges.This work has been supported by the State Research Agency of the Spanish Government (Grant PID2019-107194GB-I00/AEI/10.13039/501100011033) and by the Xunta de Galicia (Grant ED431C 2022/44), supported in turn by the EU European Regional Development Fund. We wish to acknowledge support received from the Centro de Investigación de Galicia CITIC, funded by the Xunta de Galicia and the European Regional Development Fund (Galicia 2014–2020 Program; Grant ED431G 2019/01).Xunta de Galicia; ED431C 2022/44Xunta de Galicia; ED431G 2019/0

Factors associated with hospitalization after suicide spectrum behaviors: results from a multicentre study in Spain

Objectives: to identify factors associated with admission after suicide spectrum behaviors. Methods: Patient's characteristics, the nature of their suicidal behavior, admission rates between centres, and factors associated with admission have been examined in suicide spectrum presentations to emergency departments in three Spanish cities. Results: Intent of the suicidal behavior had the greatest impact on hospitalization. Older age, living alone, self-harm method not involving drug overdose, previous history of suicide spectrum behaviors and psychiatric diagnosis of schizophrenia, mood or personality disorder were independently associated with being admitted. There was a three-fold between-centre difference in the rate of hospitalization. Conclusions: widespread differences in the rate of hospitalization were primarily accounted for by characteristics of the individual patients and their suicidal behavior

Inverse association between negative symptoms and body mass index in chronic schizophrenia

BACKGROUND: We investigated whether negative symptoms, such as poor motivation or anhedonia, were associated with higher body mass index (BMI) in stable patients with schizophrenia chronically treated with antipsychotic medication. METHODS: 62 olanzapine- or clozapine-treated patients with illness duration of at least four years were selected from an international multicenter study on the characterization of negative symptoms. All participants completed the Brief Negative Symptom Scale (BNSS) and the Positive and Negative Syndrome Scale (PANSS). Bivariate correlations between BMI and negative symptoms (BNSS) were explored, as well as multiple regression analyses. We further explored the association of two principal component factors of the BNSS and BMI. Subsidiary analyses re-modeled the above using the negative symptoms subscale of the PANSS and the EMSLEY factor for negative symptoms for convergent validity. RESULTS: Lower negative symptoms (BNSS score) were associated with higher BMI (r=-0.31; p=0.015). A multiple regression analysis showed that negative symptoms (BNSS score) and age were significant predictors of BMI (p=0.037). This was mostly driven by the motivation/pleasure factor of the BNSS. Within this second factor, BMI was negatively associated with anhedonia (r=-0.254; p=0.046) and asociality (r=-0.253; p=0.048), but not avolition (r=-0.169; p=0.188). EMSLEY score was positively associated with BNSS (r=0.873, p<0.001), but negatively associated with BMI (r=-0.308; p=0.015). The association between PANSS and BMI did not reach significance (r=-224, p=0.080). CONCLUSIONS: We conclude that lower negative symptoms were associated with higher BMI (assessed using both the BNSS and EMSLEY) in chronic stable schizophrenia patients, mostly due to lower anhedonia and asociality levels

What factors should we modify to promote high functioning and prevent functional decline in people with schizophrenia?

BackgroundSince research in schizophrenia mainly focuses on deficits and risk factors, we need studies searching for high-functioning protective factors. Thus, our objective was to identify protective (PFs) and risk factors (RFs) separately associated with high (HF) and low functioning (LF) in patients with schizophrenia.MethodsWe collected information (sociodemographic, clinical, psychopathological, cognitive, and functional) from 212 outpatients with schizophrenia. Patients were classified according to their functional level (PSP) as HF (PSP &gt; 70, n = 30) and LF (PSP ≤ 50, n = 95). Statistical analysis consisted of Chi-square test, Student’s t-test, and logistic regression.ResultsHF model: variance explained: 38.4–68.8%; PF: years of education (OR = 1.227). RFs: receiving a mental disability benefit (OR = 0.062) and scores on positive (OR = 0.719), negative-expression (OR = 0.711), and negative-experiential symptoms (OR = 0.822), and verbal learning (OR = 0.866). LF model: variance explained: 42.0–56.2%; PF: none; RFs: not working (OR = 6.900), number of antipsychotics (OR = 1.910), and scores on depressive (OR = 1.212) and negative-experiential symptoms (OR = 1.167).ConclusionWe identified specific protective and risk factors for high and low functioning in patients with schizophrenia and confirmed that high functioning factors are not necessarily the opposite of those associated with low functioning. Only negative experiential symptoms are a shared and inverse factor for high and low functioning. Mental health teams must be aware of protective and risk factors and try to enhance or reduce them, respectively, to help their patients improve or maintain their level of functioning

Tobacco and cognitive performance in schizophrenia patients: the design of the COGNICO study

Las personas con esquizofrenia constituyen una parte sustancial de las personas que todavía fuman. La hipótesis de la automedicación en relación al rendimiento cognitivo mantiene que los pacientes fuman para mejorar su déficit cognitivo basándose en los efectos estimulantes de la nicotina. El objetivo de este artículo es describir la metodología del estudio COGNICO. Estudio cuasiexperimental, observacional, prospectivo, multicéntrico y con seguimiento a 3, 6, 12 y 18 meses. Fue llevado a cabo en tres ciudades del norte de España (Oviedo, Ourense y Santiago de Compostela). Se reclutaron 81pacientes con esquizofrenia fumadores (edad media de 43,35 años (DT=8,83). 72,8% varones). Se asignaron a 3 grupos: a) control: pacientes fumadores; b) pacientes que dejan de fumar mediante parches de nicotina; c)pacientes que dejan de fumar mediante vareniclina. Como medida primaria se aplicó la batería neuropsicológica MATRICS. Además, se llevó a cabo una evaluación comprehensiva de los pacientes, que incluía el número de cigarrillos por día, la dependencia física y psicológica a la nicotina y el CO expirado. También se realizó una evaluación clínica general (PANSS, HDRS, ICG, C-SSRS) así como un seguimiento de las medidas antropométricas y los signos vitales. Se pretende identificar la relación entre el patrón de consumo de tabaco y el rendimiento cognitivo mediante la comparación de las puntuaciones en la batería neuropsicológica MATRICS durante los períodos de seguimiento.People with schizophrenia constitute a substantial part of the people who still smoke. Regarding cognitive performance, the self-medication hypothesis states that patients smoke to improve their cognitive deficits based on the stimulating effects of nicotine. The aim of this paper is to describe in detail the methodology used in the COGNICO study. A quasi-experimental, observational, prospective, multicenter study with follow-ups over 18 months was conducted in three cities in northern Spain (Oviedo, Ourense and Santiago de Compostela). A total of 81 outpatient smokers with schizophrenia were recruited with a mean age 43.35 years (SD = 8.83), 72.8% of them male. They were assigned to 3 groups: a) control group (smokers); b) patients who quit smoking using nicotine patches; c) patients who quit smoking with Varenicline. The MATRICS neuropsychological battery was applied as a primary measure. In addition, a comprehensive assessment of patients was performed, including the number of cigarettes per day, physical and psychological dependence on nicotine and CO expired. Clinical evaluation (PANSS, HDRS, CGI, C-SSRS), anthropometric measurements and vital signs assessment was also performed. The aim is to identify the relationship between the pattern of tobacco use and cognitive performance by comparing scores on the neuropsychological battery MATRICS during the follow-up periods (3, 6, 12 and 18months). The importance of this study lies in addressing a topical issue often ignored by clinicians: the unacceptably high rates of tobacco use in patients with severe mental disorder