Machine learning detects predictors of symptom severity and impulsivity after dialectical behavior therapy skills training group in borderline personality disorder.

Only 50% of the patients with Borderline Personality Disorder (BPD) respond to psychotherapies, such as Dialectical Behavioral Therapy (DBT), this might be increased by identifying baseline predictors of clinical change. We use machine learning to detect clinical features that could predict improvement/worsening for severity and impulsivity of BPD after DBT skills training group. To predict illness severity, we analyzed data from 125 patients with BPD divided into 17 DBT psychotherapy groups, and for impulsiveness we analyzed 89 patients distributed into 12 DBT groups. All patients were evaluated at baseline using widely self-report tests; ∼70% of the sample were randomly selected and two machine learning models (lasso and Random forest [Rf]) were trained using 10-fold cross-validation and compared to predict the post-treatment response. Models' generalization was assessed in ∼30% of the remaining sample. Relevant variables for DBT (i.e. the mindfulness ability "non-judging", or "non-planning" impulsiveness) measured at baseline, were robust predictors of clinical change after six months of weekly DBT sessions. Using 10-fold cross-validation, the Rf model had significantly lower prediction error than lasso for the BPD severity variable, Mean Absolute Error (MAE) lasso - Rf = 1.55 (95% CI, 0.63-2.48) as well as for impulsivity, MAE lasso - Rf = 1.97 (95% CI, 0.57-3.35). According to Rf and the permutations method, 34/613 significant predictors for severity and 17/613 for impulsivity were identified. Using machine learning to identify the most important variables before starting DBT could be fundamental for personalized treatment and disease prognosis.

Clinical efficacy of a combined acceptance and commitment therapy, dialectical behavioural therapy, and functional analytic psychotherapy intervention in patients with borderline personality disorder.

OBJECTIVE: Borderline personality disorder (BPD) consists of a persistent pattern of instability in affective regulation, impulse control, interpersonal relationships, and self-image. Although certain forms of psychotherapy are effective, their effects are small to moderate. One of the strategies that have been proposed to improve interventions involves integrating the therapeutic elements of different psychotherapy modalities from a contextual behavioural perspective (ACT, DBT, and FAP). METHODS: Patients (n = 65) attending the BPD Clinic of the Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz in Mexico City who agreed to participate in the study were assigned to an ACT group (n = 22), a DBT group (n = 20), or a combined ACT + DBT + FAP therapy group (n = 23). Patients were assessed at baseline and after therapeutic trial on measures of BPD symptom severity, emotion dysregulation, experiential avoidance, attachment, control over experiences, and awareness of stimuli. RESULTS: ANOVA analyses showed no differences between the three therapeutic groups in baseline measures. Results of the MANOVA model showed significant differences in most dependent measures over time but not between therapeutic groups. CONCLUSIONS: Three modalities of brief, contextual behavioural therapy proved to be useful in decreasing BPD symptom severity and emotional dysregulation, as well as negative interpersonal attachment. These changes were related to the reduction of experiential avoidance and the acquisition of mindfulness skills in all treatment groups, which may explain why no differences between the three different intervention modalities were observed. PRACTITIONER POINTS: Brief adaptations of acceptance and commitment therapy and dialectical behavioural therapy are effective interventions for BPD patients, in combined or isolated modalities, and with or without the inclusion of functional analytic psychotherapy. The reduction of experiential avoidance and the acquisition of mindfulness skills are related with the diminution of BPD symptoms severity, including emotional dysregulation and negative interpersonal attachment.

Lack of Association of Coffee Consumption with the Prevalence of Self-Reported Type 2 Diabetes Mellitus in a Mexican Population: A Cross-Sectional Study.

It is estimated that almost 366 million people are currently suffering from diabetes mellitus worldwide. However, it has been suggested that coffee consumption has a protective effect against the development of type 2 diabetes mellitus. This association has been observed in many regions around the world. Today, there are no reports in Mexico regarding this association. Therefore, the aim of this study was to assess the association between coffee intake and self-reported type 2 diabetes mellitus in the southeastern part of Mexico. This study included 1277 residents of Comalcalco, a municipality of Tabasco State, Mexico. We calculated the prevalence for diabetes and performed multivariate analysis using multiple logistic regressions to evaluate the combined association with type 2 diabetes mellitus. The prevalence of the diabetes was 12.52% (95% CI: 10.67⁻14.38). The majority of people surveyed (77.29%; 95% CI: 74.95⁻79.60) indicated they were coffee drinkers. The results of multivariate analysis showed a non-significant relationship between the number of cups of coffee drank and type 2 diabetes mellitus. The adjusted odds ratio gave the following values: 1.20, (95% CI: 0.59⁻2.41) for non-daily consumption; 1.66 (0.82⁻3.34), for 1 cup of coffee peer day, and 1.49 (0.78⁻2.86) for 2⁻3 cups. Subsequently, an adjustment was made for age, gender, marital status, education, alcohol consumption, and cigarette smoking. In our population, we did not observe an association between coffee intake and its protective relationship with self-reported type 2 diabetes mellitus.

The P50 auditory evoked potential in violent and non-violent patients with schizophrenia.

BACKGROUND: Emotionally driven violence is facilitated by increased arousal. It may be a consequence of an information-processing deficit and the cognitive attributions for the stimuli given by the subject. The aim of this study was to compare the P50 evoked potential responses of violent patients with schizophrenia with non-violent patients with schizophrenia and healthy controls. METHOD: Patients were classified into violent and non-violent in accordance to the Overt Aggression Scale. P50 auditory evoked potentials of 32 unmedicated patients with schizophrenia (violent=14, non-violent=18) and 17 healthy controls were recorded during five runs of 30 click pairs. RESULTS: Healthy controls exhibited a lower S2/S1 ratio when compared to violent (p<0.001) and non-violent (p=0.04) patients. Using a cutoff point of 0.50 for S2/S1 ratio to define abnormal gating a significant proportion of violent patients did not show P50 suppression (71.4%) in comparison to non-violent patients (38.9%) and healthy controls (23.5%) (p=0.02). CONCLUSIONS: Violent behavior in patients with schizophrenia could be associated with a disturbed information sensory gating. Violence in patients with schizophrenia may be facilitated by an increased arousal which may in turn be the result of an information-processing deficit.