Conventional and digital maxillary occlusal record for the manufacture of complete-arch implant-supported fixed prostheses: randomized controlled clinical trial.

OBJECTIVES: To evaluate the trueness of the digital maxillary occlusal records in comparison with the conventional records for the fabrication of complete-arch implant-supported fixed prostheses. MATERIALS AND METHODS: This randomized controlled clinical trial followed the recommendations of the CONSORT statement. Twenty participants who used a mandibular interim complete-arch fixed prosthesis and conventional complete maxillary dentures were included in the study. The participants were randomized into two types of maxillary occlusal records: conventional (COR) and digital (DOR) (TRIOS; Shape A/S). After fabricating the prostheses, the distribution and number of occlusal contact points, and the time taken to obtain the maxillary occlusal record and work model were evaluated. Descriptive analysis was used to evaluate the distribution of occlusal contact points. The Wilcoxon test was employed for assessing the number of occlusal contact points, while the Mann-Whitney U test was used for the time taken to obtain the working casts and the maxillary occlusal record and occlusal adjustment times (p < 0.05). RESULTS: There was a similarity in the jaw relation recording methods regarding the distribution of occlusal contact points. There was no difference in the number of occlusal contact points between the anterior (p = 0.439) and posterior (p = 0.227) teeth. No relationship was observed between the distribution and number of occlusal contact points (COR, p = 0.288; DOR, p = 0.183). DOR required less occlusal and clinical adjustment time, on the other hand more laboratory and total workflow time than COR (p < 0.001). CONCLUSION: The DOR may be an option for obtaining the functional space necessary for the assembly of teeth in complete-arch implant-supported fixed prostheses; however, it requires more working time. CLINICAL RELEVANCE: The digital occlusal recording method can be used to assess the interocclusal space for the virtual tooth setup of a complete-arch implant-supported fixed prosthesis.

National expert consensus on home-administered oncologic therapies in Spain.

The diagnosis and treatment of cancer impose a significant emotional and psychological burden on patients, families, and caregivers. Patients undergo several interventions in a hospital setting, and the increasing number of patients requiring extended care and follow-up is driving the demand for additional clinical resources to address their needs. Hospital at Home (HaH) teams have introduced home-administered oncologic therapies that represent a new model of patient-centered cancer care. This approach can be integrated with traditional models and offers benefits to both patients and healthcare professionals (HCPs). Home-administered treatment programs have been successfully piloted globally, demonstrated as a preferred option for most patients and a safe alternative that could reduce costs and hospital burden. The document aims to establish the minimum recommendations for the home administration of oncologic therapies (ODAH) based on a national expert agreement. The expert panel comprised seven leading members from diverse Spanish societies and three working areas: clinical and healthcare issues, logistical and administrative issues, and economic, social, and legal issues. The recommendations outlined in this article were obtained after a comprehensive literature review and thorough discussions. This document may serve as a basis for the future development of home-administered oncologic therapy programs in Spain. .

Genome-wide association study for yield-related traits in faba bean (Vicia faba L.).

Yield is the most complex trait to improve crop production, and identifying the genetic determinants for high yield is a major issue in breeding new varieties. In faba bean (Vicia faba L.), quantitative trait loci (QTLs) have previously been detected in studies of biparental mapping populations, but the genes controlling the main trait components remain largely unknown. In this study, we investigated for the first time the genetic control of six faba bean yield-related traits: shattering (SH), pods per plant (PP), seeds per pod (SP), seeds per plant (SPL), 100-seed weight (HSW), and plot yield (PY), using a genome-wide association study (GWAS) on a worldwide collection of 352 homozygous faba bean accessions with the aim of identifying markers associated with them. Phenotyping was carried out in field trials at three locations (Spain, United Kingdom, and Serbia) over 2 years. The faba bean panel was genotyped with the Affymetrix faba bean SNP-chip yielding 22,867 SNP markers. The GWAS analysis identified 112 marker-trait associations (MTAs) in 97 candidate genes, distributed over the six faba bean chromosomes. Eight MTAs were detected in at least two environments, and five were associated with multiple traits. The next step will be to validate these candidates in different genetic backgrounds to provide resources for marker-assisted breeding of faba bean yield.

Machine Learning-Based Assessment of Survival and Risk Factors in Non-Alcoholic Fatty Liver Disease-Related Hepatocellular Carcinoma for Optimized Patient Management.

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide, with an incidence that is exponentially increasing. Hepatocellular carcinoma (HCC) is the most frequent primary tumor. There is an increasing relationship between these entities due to the potential risk of developing NAFLD-related HCC and the prevalence of NAFLD. There is limited evidence regarding prognostic factors at the diagnosis of HCC. This study compares the prognosis of HCC in patients with NAFLD against other etiologies. It also evaluates the prognostic factors at the diagnosis of these patients. For this purpose, a multicenter retrospective study was conducted involving a total of 191 patients. Out of the total, 29 presented NAFLD-related HCC. The extreme gradient boosting (XGB) method was employed to develop the reference predictive model. Patients with NAFLD-related HCC showed a worse prognosis compared to other potential etiologies of HCC. Among the variables with the worst prognosis, alcohol consumption in NAFLD patients had the greatest weight within the developed predictive model. In comparison with other studied methods, XGB obtained the highest values for the analyzed metrics. In conclusion, patients with NAFLD-related HCC and alcohol consumption, obesity, cirrhosis, and clinically significant portal hypertension (CSPH) exhibited a worse prognosis than other patients. XGB developed a highly efficient predictive model for the assessment of these patients.

Additive effects of a family history of schizophrenia spectrum disorders and an environmental risk score for the outcome of patients with non-affective first-episode psychosis.

BACKGROUND: First-episode psychotic disorders comprise a heterogeneous phenotype with a complex etiology involving numerous common small-effect genetic variations and a wide range of environmental exposures. We examined whether a family of schizophrenia spectrum disorder (FH-Sz) interacts with an environmental risk score (ERS-Sz) regarding the outcome of patients with non-affective first episode psychosis (NAFEP). METHODS: We included 288 patients with NAFEP who were evaluated after discharge from an intensive 2-year program. We evaluated three outcome measures: symptomatic remission, psychosocial functioning, and personal recovery. We analyzed the main and joint associations of a FH-Sz and the ERS-Sz on the outcomes by using the relative excess risk due to interaction (RERI) approach. RESULTS: A FH-Sz showed a significant association with poor symptomatic remission and psychosocial functioning outcomes, although there was no significant interaction between a FH-Sz and the ERS-Sz on these outcomes. The ERS-Sz did not show a significant association with poor symptomatic remission and psychosocial functioning outcomes, even though the magnitude of the interaction between ERS-Sz and FH-Sz with the later outcome was moderate (RERI = 6.89, 95% confidence interval -16.03 to 29.81). There was no association between a FH-Sz and the ERS-Sz and personal recovery. CONCLUSIONS: Our results provide further empirical support regarding the contribution of FH-Sz to poor symptomatic remission and poor psychosocial functioning outcomes in patients with NAFEP.

Candida Variety in the Oral Cavity of Mexican Subjects with Type 2 Diabetes Mellitus and TLR2 Gene Expression.

BACKGROUND: The aim was to diagnose Candida in the oral cavity of subjects with type 2 diabetes mellitus (T2DM) using a genotyping technique and compare the results with those from conventional diagnosis by Papanicolaou (Pap) staining. METHODS: Palatal mucosa smears were performed on 18 dental care patients diagnosed with T2DM and grade I, II, and III prosthetic stomatitis who met the inclusion criteria; 18 healthy control subjects were also included in the study. Hemoglobin A1c (HbA1c) levels were determined from total blood. Using exfoliative cytology, the Pap staining technique was used to diagnose candidiasis. Exfoliative cytology was also used for molecular diagnosis; DNA was obtained for Candida genotyping, and RNA was used for gene expression studies. RESULTS: Clinical patterns indicated that all subjects were positive for Candida; however, Pap analysis revealed only three positive subjects, whereas end-point polymerase chain reaction (PCR) analysis revealed 15 subjects with some type of Candida. The most common Candida species found were Candida guilliermondii (38.8%), Candida krusei (33.3%), Candida tropicalis, and Candida lusitaniae (22.2%). Interestingly, the coexpression of different species of Candida was found in various patients. In all patients, HbA1c levels were increased. Gene expression analysis showed a significant decrease (p ≤ 0.05) in TLR2 expression in positive subjects, whereas TLR4 expression did not differ significantly among patients. CONCLUSIONS: The end-point PCR technique showed better sensitivity for the diagnosis of Candida when compared with the diagnosis by Pap staining. T2DM subjects showed an increased presence of C. guilliermondii that was correlated with decreased TLR2 expression.

Evaluation of the toxicological effects of Neltuma alpataco (Prosopis alpataco) pod alkaloid extract.

The pods of Neltuma spp. have shown potential as a source of protein and energy in livestock. However, prolonged consumption of some of these species can lead to neurological symptoms in ruminants. This study aimed to determine the alkaloid content, as well as the in vitro and in vivo effects of an alkaloid-enriched extract (AEE) from N. alpataco pods. High performance liquid chromatography-high resolution mass spectrometry (HPLC-HRMS) identified juliprosine and juliprosopine as primary alkaloids, with juliprosine being most abundant. AEE from N. alpataco demonstrated dose-dependent cytotoxicity on glioma cells after 48 h, with a 50% cytotoxic concentration (CC50) of 24.69 µg/mL. However, the release of LDH was observed only at the highest tested concentration, indicating cellular damage. Further examination through phase-contrast microscopy and dual acridine orange/ethidium bromide fluorescence staining revealed morphological changes consistent with an apoptotic mechanism of cell death, ultimately leading to secondary necrosis. Finally, the LD50 after intraperitoneal injection in mice was determined to be 12.98 mg/kg. Taken together, these findings demonstrated for the first time the in vivo and in vitro toxicity of the AEE from N. alpataco pods.

Addition of substances to reduce the erosive potential of acidic beverages to tooth enamel: A scoping review.

OBJECTIVE: This scoping review aimed (1) to map, analyse, interpret and synthesize data from in situ studies on which substances were added to acidic beverages to reduce the erosive potential on tooth enamel and (2) to establish the level of evidence of the effectiveness of adding substances to acidic beverages to reduce the erosive potential on tooth enamel. DESIGN: This is a scoping review, according to the methods from the Joanna Briggs Institute and PRISMA-ScR, with high-sensitivity searches in the databases PubMed (MEDLINE), Virtual Health Library, Embase (Elsevier), Scopus (Elsevier), Web of Science and ScienceDirect (Elsevier). In situ studies published in English until December 2022 were included. Studies that did not report a control group were excluded. To map and summarize the results, tables and figures were used. RESULTS: From 895 potentially eligible articles, nine were included. Blackcurrant juices (n = 5) with the addition of calcium (n = 3) or xanthan gum (n = 2) formulations were the most tested in terms of reducing the erosive potential of the beverages on tooth enamel. The profilometer was the equipment of choice (n = 8) for evaluating the loss of enamel structure after the experimental tests. CONCLUSIONS: Calcium and xanthan gum are among the most tested by in situ studies, offering promising results in reducing the erosive potential of fruit juices and carbonated and energy drinks.

Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence.

BACKGROUND: Hepatocellular carcinoma (HCC) accounts for 75% of primary liver tumors. Controlling risk factors associated with its development and implementing screenings in risk populations does not seem sufficient to improve the prognosis of these patients at diagnosis. The development of a predictive prognostic model for mortality at the diagnosis of HCC is proposed. METHODS: In this retrospective multicenter study, the analysis of data from 191 HCC patients was conducted using machine learning (ML) techniques to analyze the prognostic factors of mortality that are significant at the time of diagnosis. Clinical and analytical data of interest in patients with HCC were gathered. RESULTS: Meeting Milan criteria, Barcelona Clinic Liver Cancer (BCLC) classification and albumin levels were the variables with the greatest impact on the prognosis of HCC patients. The ML algorithm that achieved the best results was random forest (RF). CONCLUSIONS: The development of a predictive prognostic model at the diagnosis is a valuable tool for patients with HCC and for application in clinical practice. RF is useful and reliable in the analysis of prognostic factors in the diagnosis of HCC. The search for new prognostic factors is still necessary in patients with HCC.

European reference network for rare inherited congenital anomalies (ERNICA) evidence based guideline on the management of gastroschisis.

BACKGROUND: The European Reference Network for rare Inherited Congenital Anomalies, ERNICA, guidelines for gastroschisis cover perinatal period to help teams to improve care. METHOD: A systematic literature search including 136 publications was conducted. Research findings were assessed following the GRADE methodology. The evidence to decision framework was used to determine the strength and direction of recommendations. RESULTS: The mode or timing of delivery do not impact neonatal mortality, risk of NEC or time on parenteral nutrition (PN). Intra or extra abdominal bowel dilatation predict complex gastroschisis and longer length of hospital stay but not increased perinatal mortality. Outcomes after Bianchi procedure and primary fascia closure under anesthesia are similar. Sutureless closure decreases the rate of surgical site infections and duration of ventilation compared to surgical closure. Silo-staged closure with or without intubation results in similar outcomes. Outcomes of complex gastroschisis (CG) undergoing early or delayed surgical repair are similar. Early enteral feeds starting within 14 days is associated with lower risk of surgical site infection. RECOMMENDATIONS: The panel suggests vaginal birth between 37 and 39 w in cases of uncomplicated gastroschisis. Bianchi's approach is an option in simple gastroschisis. Sutureless closure is suggested when general anesthesia can be avoided, sutured closure. If anesthesia is required. Silo treatment without ventilation and general anesthesia can be considered. In CG with atresia primary intestinal repair can be attempted if the condition of patient and intestine allows. Enteral feeds for simple gastroschisis should start within 14 days.

Evaluación de una intervención grupal basada en mindfulness en pacientes con ansiedad y depresión atendidos en un centro comunitario de salud mental: estudio cuasi experimental / Evaluation of a group intervention based on Mindfulness in patients with anxiety and depression cared for in mental health community center: a quasy-experimental study

Objetivo: Evaluar la efectividad de una intervención grupal basada en mindfulness en pacientes con ansiedad y depresión atendidos en un centro de salud mental comunitario. Secundariamente, valorar la calidad de vida y la adherencia a la intervención. Método: Estudio cuasi experimental con evaluaciones pre y postintervención llevado a cabo entre marzo de 2015 y diciembre de 2019 en personas mayores de 18 años atendidas en el Centro de Salud Mental de Adultos (CSMA) de Les Corts, Barcelona. Como criterios de inclusión se tomaron en cuenta: 1) sintomatología de ansiedad (Escala de Ansiedad de Hamilton [HARS] > 10 puntos) y 2) firma de consentimiento informado. Las variables recogidas fueron 1) ansiedad, 2) depresión (Inventario de Depresión de Beck [BDI]), 3) calidad de vida (EuroQoL [EQ-5D]) y 4) adherencia a la intervención. La intervención fue de nueve sesiones semanales de 75 min y fue realizada por dos enfermeras. Cada grupo estaba formado por 10-15 pacientes. Resultados: Un total de 128 usuarios fueron incluidos, de los cuales 103 eran mujeres con una edad media de 52,23 (desviación estándar [DE] 12,78). Al comparar medidas pre y post, se observaron mejoras en relación con la sintomatología ansiosa, depresiva y la calidad de vida general (p<0,001) y sus dimensiones de ansiedad-depresión (EQ-5D) (p=0,003). La media de sesiones asistidas fue de 6,17 (DE 2,31) y estaban correlacionadas de forma estadísticamente significativa y positiva con una mejora de la sintomatología ansiosa (p<0,001) y depresiva (p=0,021). No se observaron diferencias entre grupos de edad. Conclusiones: La intervención grupal basada en mindfulness mejora la sintomatología ansiosa y depresiva, así como la calidad de vida. Esto se asocia con una mayor adherencia a la intervención.(AU)

Objective: To evaluate the effectiveness of a group intervention based on Mindfulness in patients with anxiety and depression treated in a community mental health center. Secondarily, to evaluate quality of life and adherence to the intervention. Methods: Quasi-experimental study with evaluations pre-post intervention in people over 18 years of age treated at the Les Corts Adult Mental Health Center (AMHC), Barcelona, between March 2015 and December 2019. Inclusion criteria: 1) anxiety symptoms (Hamilton Anxiety Rating Scale > 10 points); 2) sign informed consent. Variables collected: 1) anxiety; 2) depression (Beck Depression Inventory); 3) quality of life (EuroQoL [EQ-5D]) and 4) adherence to the intervention. The intervention (9 weekly sessions; 75 minutes) was carried out by two nurses. Each group consisted of 10-15 patients. Results: 128 patients were included, of which 103 were women with a mean age of 52.23 years (SD 12.78). Comparisons pre and post measures, its showed improvements in relation to anxiety, depressive symptoms and general quality of life (p<0.001) and in its dimensions of anxiety-depression (EQ-5D) (p=0.003). The mean number of sessions attended was 6.17 (SD 2.31), and they were statistically significant and positively correlated with an improvement in anxiety (p<0.001) and depressive symptoms (p=0.021). There were no differences between age groups. Conclusion: The intervention group based on Mindfulness improves anxiety and depressive symptoms, as well as the quality of life. This improvement in the symptomatology is associated with a greater adherence to the intervention.(AU)

Adhesión a la dieta mediterránea y conducta alimentaria en escolares españoles / Adherence to the Mediterranean diet and eating behaviour in Spanish schoolchildren

Introducción: las conductas alimentarias pueden modular o influir en la calidad de la dieta y el grado de adherencia a la dieta mediterráneade niños y adolescentes.Objetivos: investigar la asociación entre la calidad de la dieta y el comportamiento alimentario en un grupo de escolares españoles.Métodos: se trata de un estudio transversal descriptivo en una muestra de 283 escolares españoles de seis a 16 años. Cada sujeto fue evaluadomediante el cuestionario KIDMED de adherencia a la dieta mediterránea y el cuestionario Children’s Eating Behaviour Questionnaire (CEBQ) paraevaluar el comportamiento alimentario.Resultados: un 12,80 % de la muestra presentó baja adherencia a la dieta mediterránea; un 59,80 %, adherencia mejorable; y un 27,40 %,adherencia alta. Al relacionar las conductas alimentarias con la calidad dietética, los escolares con mayor disfrute por los alimentos y menosexigencia con la comida presentan el doble de adherencia a la dieta mediterránea, por un consumo de casi el doble de vegetales, frutos secoso pescado, así como menor ingesta de procesados de baja calidad (golosinas y dulces). La respuesta a la saciedad y la velocidad de ingestatambién tuvieron un papel importante en las elecciones alimentarias.Conclusiones: las conductas alimentarias pueden tener un importante papel en la calidad de la dieta de los escolares, destacando el disfrute y laaceptación o rechazo por los alimentos. Dada la naturaleza bidireccional de los efectos entre las conductas alimentarias y la calidad de la dieta, elanálisis conjunto puede ser la base de futuras investigaciones con el objetivo de un mejor abordaje nutricional desde las edades más tempranas.(AU)

Introduction: eating behaviors may modulate or influence diet quality and the degree of adherence to the Mediterranean diet in children andadolescents.Aims: to investigate the association between diet quality and eating behavior in a group of Spanish schoolchildren.Methods: descriptive cross-sectional study of 283 Spain schoolchildren aged six to 16. Each subject was assessed using the KIDMED question-naire for adherence to the Mediterranean diet and the Children’s Eating Behaviour Questionnaire (CEBQ) questionnaire to assess eating behavior.Results: of the sample, 12.80 % had low adherence to the Mediterranean diet, 59.80 % had poor adherence, 59.80 % could be improved, and27.40 % had high adherence. When relating eating behavior to dietary quality, it was found that, generally, schoolchildren with greater enjoymentof food and less demand for food have double the adherence to the Mediterranean diet due to almost twice the consumption of vegetables,nuts, and fish, and a lower intake of low-quality processed foods (sweets). The response to satiety and the speed of ingestion also played animportant role in food choices.Conclusions: eating behaviors may play an essential role in the quality of school children’s diets highlighting the enjoyment and acceptance orrejection of food. Given the bidirectional nature of the effects between eating behaviors and diet quality, the joint analysis may be the basis forfuture research with the aim of a better nutritional approach from the earliest ages.(AU)

Long-term trajectories of clinical staging in first-episode psychosis and their associated cognitive outcome: A 21-year follow-up study.

Cognitive deficits are already present before psychosis onset but are a key feature of first-episode psychosis (FEP). The objective of this study was to investigate the cognitive outcomes of a cohort of FEP patients who were diagnosed using the clinical staging approach and were followed for up to 21 years. We analyzed data from 173 participants with first-admission psychosis who were followed-up for a mean of 20.9 years. The clinical staging assessment was adapted from the clinical staging framework developed by McGorry et al.1 Cognitive assessment was performed using the MATRICS Consensus Cognitive Battery (MMCB) at the end of follow-up. FEP patients who were longitudinally diagnosed in the lowest clinical stages (stages 2A and 2B) showed better performance in attention, processing speed, and MCCB overall composite score than those in the highest clinical stages (stages 4A and 4B). There was a significant linear trend association between worsening of all MCCB cognitive functions and MCCB overall composite score and progression in clinical staging. Furthermore, the interval between two and five years of follow-up appears to be associated with deficits in processing speed as a cognitive marker. Our results support the validation of the clinical staging model over a long-term course of FEP based on neuropsychological performance. A decline in some cognitive functions, such as processing speed, may facilitate the transition of patients to an advanced stage during the critical period of first-episode psychosis.

Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the most common primary liver tumor and is associated with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a significant challenge for appropriate therapeutic management. Adequate screening programs in high-risk groups are essential for early-stage detection. The extent of extrahepatic tumor spread and hepatic functional reserve are recognized as two of the most influential prognostic factors. In this retrospective multicenter study, we utilized machine learning (ML) methods to analyze predictors of mortality at the time of diagnosis in a total of 208 patients. The eXtreme gradient boosting (XGB) method achieved the highest values in identifying key prognostic factors for HCC at diagnosis. The etiology of HCC was found to be the variable most strongly associated with a poorer prognosis. The widely used Barcelona Clinic Liver Cancer (BCLC) classification in our setting demonstrated superiority over the TNM classification. Although alpha-fetoprotein (AFP) remains the most commonly used biological marker, elevated levels did not correlate with reduced survival. Our findings suggest the need to explore new prognostic biomarkers for individualized management of these patients.

Approaching Personalized Medicine: The Use of Machine Learning to Determine Predictors of Mortality in a Population with SARS-CoV-2 Infection.

The COVID-19 pandemic demonstrated the need to develop strategies to control a new viral infection. However, the different characteristics of the health system and population of each country and hospital would require the implementation of self-systems adapted to their characteristics. The objective of this work was to determine predictors that should identify the most severe patients with COVID-19 infection. Given the poor situation of the hospitals in the first wave, the analysis of the data from that period with an accurate and fast technique can be an important contribution. In this regard, machine learning is able to objectively analyze data in hourly sets and is used in many fields. This study included 291 patients admitted to a hospital in Spain during the first three months of the pandemic. After screening seventy-one features with machine learning methods, the variables with the greatest influence on predicting mortality in this population were lymphocyte count, urea, FiO2, potassium, and serum pH. The XGB method achieved the highest accuracy, with a precision of >95%. Our study shows that the machine learning-based system can identify patterns and, thus, create a tool to help hospitals classify patients according to their severity of illness in order to optimize admission.

Systemic Lupus Erythematosus: How Machine Learning Can Help Distinguish between Infections and Flares.

Systemic Lupus Erythematosus (SLE) is a multifaceted autoimmune ailment that impacts multiple bodily systems and manifests with varied clinical manifestations. Early detection is considered the most effective way to save patients' lives, but detecting severe SLE activity in its early stages is proving to be a formidable challenge. Consequently, this work advocates the use of Machine Learning (ML) algorithms for the diagnosis of SLE flares in the context of infections. In the pursuit of this research, the Random Forest (RF) method has been employed due to its performance attributes. With RF, our objective is to uncover patterns within the patient data. Multiple ML techniques have been scrutinized within this investigation. The proposed system exhibited around a 7.49% enhancement in accuracy when compared to k-Nearest Neighbors (KNN) algorithm. In contrast, the Support Vector Machine (SVM), Binary Linear Discriminant Analysis (BLDA), Decision Trees (DT) and Linear Regression (LR) methods demonstrated inferior performance, with respective values around 81%, 78%, 84% and 69%. It is noteworthy that the proposed method displayed a superior area under the curve (AUC) and balanced accuracy (both around 94%) in comparison to other ML approaches. These outcomes underscore the feasibility of crafting an automated diagnostic support method for SLE patients grounded in ML systems.

The effect of anticholinergic burden of psychiatric medications on major outcome domains of psychotic disorders: A 21-year prospective cohort study.

BACKGROUND: Most medications used to treat psychotic disorders possess anticholinergic properties. This may result in a considerable anticholinergic burden (ACB), which may have deleterious effects on long-term outcomes. The extent to which cumulative ACB over years of treatment with psychotropic medications impacts different outcome domains remains unknown. METHODS: This was a naturalistic study of 243 subjects with first-episode psychosis aimed at examining the cumulative effect of ACB of psychotropic medications administered over the illness course (ACB-years exposure) on several outcome domains assessed after a mean 21-year follow-up. Associations between ACB and the outcomes were modelled accounting for relevant confounding factors by using hierarchical linear regression analysis. RESULTS: Over the study period, 81.9 % of the participants were dispensed at least one drug with strong anticholinergic effects for at least 1 year; at the follow-up visit, 60.5 % of the participants continued to take medications with strong ACB. ACB-years exposure was uniquely related to severity of negative symptoms (ß = 0.144, p = 0.004), poor psychosocial functioning (ß = 0.186, p < 0.001) and poor cognitive performance (ß = -0.273, p < 0.001). This association pattern was independent of a schizophrenia diagnosis. Most of the associations between ACB at the follow-up visit and the outcomes were accounted for ACB-years exposure. CONCLUSION: Lifetime ACB of psychotropic medications has deleterious effects on the outcome of psychotic disorders. Clinicians should avoid prescribing medications with strong ACB, since there are numerous alternatives within each psychotropic drug group for prescribing medications with low ACB.

Evaluation of a group intervention based on Mindfulness in patients with anxiety and depression cared for in mental health community center: a quasy-experimental study.

OBJECTIVE: To evaluate the effectiveness a group intervention based on Mindfulness in patients with anxiety and depression treated in a community mental health center. Secondarily, evaluate quality of life and adherence to the intervention. METHODS: Quasi-experimental study with evaluations pre-post intervention in people over 18 years of age treated at the Les Corts Adult Mental Health Center (AMHC), Barcelona, between March 2015 and December 2019. INCLUSION CRITERIA: (1) anxiety symptoms (Hamilton Anxiety Rating Scale >10 points); (2) sign informed consent. Variables collected: (1) anxiety; (2) depression (Beck Depression Inventory); (3) quality of life (EuroQoL) and (4) adherence to the intervention. The intervention (9 weekly sessions; 75min) was carried out by two nurses. Each group consisted of 10-15 patients. RESULTS: 128 patients were included, of which 103 were women with a mean age of 52.23 years (SD 12.78). Comparisons pre and post measures, its showed improvements in relation to anxiety, depressive symptoms and general quality of life (p<0.001) and in its dimensions of anxiety-depression (p=0.003). The mean number of sessions attended was 6.17 (SD 2.31), and they were statistically significant and positively correlated with an improvement in anxiety (p<0.001) and depressive symptoms (EQ-5D) (p=0.021). There were no differences between age groups. CONCLUSION: The group intervention based on Mindfulness improves anxiety and depressive symptoms, as well as the quality of life. This improvement in the symptomatology is associated to greater adherence to the intervention.

Effect of online Kundalini Yoga mental health of university students during Covid-19 pandemic: A randomized controlled trial.

University students were at an increased risk for psychological distress during the COVID-19 pandemic. Using a randomized controlled trial, we examined the efficacy of an online Kundalini Yoga intervention on students' psychological functioning. Healthy university students (N = 106) were randomly assigned to a Kundalini Yoga group, an active control group, or a passive control group in a 1:1:1 ratio. The experimental group attended six Yoga sessions over 6 weeks and the active control group attended to six autogenic relaxation sessions over 6 weeks. All participants completed the study protocol, which involved answering questionnaires related to psychological distress, emotion regulation, self-compassion, self-concept, spiritual well-being, and subjective happiness at three different time points: baseline, at the end of the intervention, and at 1-month follow-up. Results showed that Yoga contributed to improving self-compassion, extrinsic affect improving, and personal and communal spiritual well-being, in comparison to the control groups.

20-Year trajectories of six psychopathological dimensions in patients with first-episode psychosis: Could they be predicted?

Patients with first-episode psychoses (FEP) exhibit heterogeneity in clinical manifestations and outcomes. This study investigated the long-term trajectories of six key psychopathological dimensions (reality-distortion, negative, disorganization, catatonia, mania and depression) in patients diagnosed with FEP. A total of 243 patients were followed up for 20 years and the trajectories of the dimensions were analysed using growth mixture modelling. These dimensions showed varied course patterns, ranging from two to five trajectories. Additionally, the study examined the predictive value of different factors in differentiating between the long-term trajectories. The exposome risk score showed that familial load, distal and intermediate risk factors, acute psychosocial stressors and acute onset were significant predictors for differentiating between long-term psychopathological trajectories. In contrast, polygenic risk score, duration of untreated psychosis and duration of untreated illness demonstrated little or no predictive value. The findings highlight the importance of conducting a multidimensional assessment not only at FEP but also during follow-up to customize the effectiveness of interventions. Furthermore, the results emphasize the relevance of assessing premorbid predictors from the onset of illness. This may enable the identification of FEP patients at high-risk of poor long-term outcomes who would benefit from targeted prevention programs on specific psychopathological dimensions.