Combining scales to assess suicide risk

Authors posting Accepted Author Manuscript online should later add a citation for the Published Journal Article indicating that the Article was subsequently published, and may mention the journal title provided they add the following text at the beginning of the document: “NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Cardiovascular Echography. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Psychiatric Research, [VOL#, ISSUE#, (DATE)] DOI#”A major interest in the assessment of suicide risk is to develop an accurate instrument, which could be easily adopted by clinicians. This article aims at identifying the most discriminative items from a collection of scales usually employed in the assessment of suicidal behavior. Methods: The answers to the Barrat Impulsiveness Scale, International Personality Disorder Evaluation Screening Questionnaire, BrowneGoodwin Lifetime History of Aggression, and Holmes & Rahe Social Readjustment Rating Scale provided by a group of 687 subjects (249 suicide attempters, 81 non-suicidal psychiatric inpatients, and 357 healthy controls) were used by the Lars-en algorithm to select the most discriminative items. Results: We achieved an average accuracy of 86.4%, a specificity of 89.6%, and a sensitivity of 80.8% in classifying suicide attempters using 27 out of the 154 items from the original scales. Conclusions: The 27 items reported here should be considered a preliminary step in the development of a new scale evaluating suicidal risk in settings where time is scarce.This article was supported by the National Alliance for Research on Schizophrenia and Affective Disorders (NARSAD), Fondo de Investigacion Sanitaria (FIS) PI060092, Fondo de Investigacion Sanitaria FIS RD06/0011/0016, ETES (PI07/90207), the Conchita Rabago Foundation, and the Spanish Ministry of Health, Instituto de Salud Carlos III, CIBERSAM (Intramural 521 Project, P91B; SCO/3410/2004)

Tiempo y actividades que predominan en la labor de la enfermera de las unidades de cuidados críticos del Hospital San Juan de Lurigancho 2015

Determina el tiempo y actividades predominantes en la labor de la enfermera de Unidades de Cuidados Críticos (UCC) del Hospital San Juan de Lurigancho. Material y Método: estudio aplicativo, cuantitativo, descriptivo y corte transversal. En una población de 10 enfermeros, mediante observación se aplicó una lista de cotejo durante 2 turnos de 12 horas por enfermero (diurno y nocturno) constituyendo 20 turnos, correspondiente a 240 horas. Resultados: De las 240 (100%) horas observadas, las enfermeras dedican 112 horas con 83 minutos (47%) a la actividad asistencial, 82 horas con 28 minutos (34%) a la actividad administrativa y 44 horas con 88 minutos (19%) a otras actividades (refrigerio, necesidades fisiológicas y reposo). Conclusiones: El mayor porcentaje de tiempo es para actividades asistenciales como examen físico, administración de medicamentos, dieta enteral, balance hídrico, cateterismo periférico, sonda vesical y nasogástrica, aspirar secreciones por TET, curar catéter venoso central, traqueostomía, escaras, cambios de posición e higiene del paciente. Menor porcentaje de tiempo para aspectos psicológicos, sociales y espirituales: saludo al paciente, llamarlo por su nombre, hablarle amablemente, toque terapéutico, realizar procedimientos previa comunicación, disipar inquietudes, educación y apoyo emocional, coordinar con la familia la visita del sacerdote o pastor según religión. Las actividades administrativas mayormente están referidas a actualizar registros, participar en reuniones institucionales, coordinar radiografías, ecografías y exámenes de laboratorio; identificar necesidades del paciente, verificar materiales y equipos, registros de enfermería, constantes vitales, actualizar kardex, participar en visita médica, reporte de enfermería, programas educativos, gestionar recetas y órdenes médicas, supervisar actividades del personal a cargo, ingreso y alta pacientes.Trabajo académic

A diffusive propagation model for molecular communications: analysis and implementation in NS-3

In this research, the analysis and implementation of a diffusive propagation model for molecular communications are performed in NS-3. The work is based on the IEEE 1906.1-2015 standard recommendation, which seeks to create a reference framework for molecular communications. The standard provides a simulation module in NS-3, which contains only the components of the general structure of molecular communication and their interaction between them. The components mentioned are Message Carrier, Motion, Field, Perturbation, and Specificity. The transmitter uses CSK modulation. In the medium, Brownian motion (BM) with and without drift is used for the motion of the molecules, and intersymbol interference is considered. In the receiver, amplitude detection is used. The whole process is applied in four scenarios: Free BM, BM with drift, free BM bounded by the medium, and BM with drift bounded by the medium are considered. As a result, the pulse train of the mean concentration of molecules as a function of time at the receiver is obtained. In addition, the obtained results are compared with an investigation performed in N3Sim to validate the results. Finally, it is validated that the mean concentration at the receiver using the diffusive propagation model implemented complies with the mathematical model established by Fick’s second law.Osak

The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey

In recent years, improved deep learning techniques have been applied to biomedical image processing for the classification and segmentation of different tumors based on magnetic resonance imaging (MRI) and histopathological imaging (H&E) clinical information. Deep Convolutional Neural Networks (DCNNs) architectures include tens to hundreds of processing layers that can extract multiple levels of features in image-based data, which would be otherwise very difficult and time-consuming to be recognized and extracted by experts for classification of tumors into different tumor types, as well as segmentation of tumor images. This article summarizes the latest studies of deep learning techniques applied to three different kinds of brain cancer medical images (histology, magnetic resonance, and computed tomography) and highlights current challenges in the field for the broader applicability of DCNN in personalized brain cancer care by focusing on two main applications of DCNNs: classification and segmentation of brain cancer tumors images

Comunidades de mejores lectores:Una estrategia para fortalecer los procesos de lectura critica de los estudiantes del grado 5to del Instituto Técnico Agricola de Lorica.

Este proyecto tiene como objeto buscar que los estudiantes mejoren su proceso de comunicación e interacción con el texto,desde la opción de crear un espacio que les permita asumir de manera comprensiva el campo lector desde la escuela y entorno hogar.MaestríaMagíster en Educació

Age of First Suicide Attempt in Men and Women: An Admixture Analysis

Objectives. To define different subgroups of suicide attempters according to age at onset of suicide attempts. Methods. Participants were 229 suicide attempters (147 females; 82 males) admitted to a general hospital in Madrid, Spain. We used admixture analysis to determine the best-fitting model for the age at onset of suicide attempts separated by sex. Results. The best fitted model for the age at onset of suicide attempts was a mixture of two gaussian distributions. Females showed an earlier age at onset of suicide attempts in both Gaussian distributions (mean ± S.D.) (26.98 ± 5.69 and 47.98 ± 14.13) than males (32.77 ± 8.11 and 61.31 ± 14.61). Early-onset female attempters were more likely to show borderline personality disorder than late-onset female attempters (OR = 11.11; 95% CI = 2.43-50.0). Conclusions. Age at onset of suicide attempts characterizes different subpopulations of suicide attempters

Age of First Suicide Attempt in Men and Women: An Admixture Analysis

Objectives. To define different subgroups of suicide attempters according to age at onset of suicide attempts. Methods. Participants were 229 suicide attempters (147 females; 82 males) admitted to a general hospital in Madrid, Spain. We used admixture analysis to determine the best-fitting model for the age at onset of suicide attempts separated by sex. Results. The best fitted model for the age at onset of suicide attempts was a mixture of two gaussian distributions. Females showed an earlier age at onset of suicide attempts in both Gaussian distributions (mean ± S.D.) (26.98 ± 5.69 and 47.98 ± 14.13) than males (32.77 ± 8.11 and 61.31 ± 14.61). Early-onset female attempters were more likely to show borderline personality disorder than late-onset female attempters (OR = 11.11; 95% CI = 2.43–50.0). Conclusions. Age at onset of suicide attempts characterizes different subpopulations of suicide attempters