Comparative Analysis between 3D-Printed Models Designed with Generic and Dental-Specific Software.

With the great demand in the market for new dental software, the need has been seen to carry out a precision study for applications in digital dentistry, for which there is no comparative study, and there is a general ignorance regarding their applications. The purpose of this study was to investigate the accuracy differences between digital impressions obtained using generic G-CAD (general CAD) and D-CAD (CAD dental) software. Today, there is a difference between the design software used in dentistry and these in common use. Thus, it is necessary to make a comparison of precision software for specific and generic dental use. We hypothesized that there is no significant difference between the software for specific and general dental use. METHODS: A typodont was digitized with an intraoral scanner and the models obtained were exported in STL format to four different softwares (Autodesk MeshMixer 3.5, Exocad Dental, Blender for dental, and InLAB). The STL files obtained by each software were materialized using a 3D printer. The printed models were scanned and exported in STL files, with which six pairs of groups were formed. The groups were compared using analysis software (3D Geomagic Control X) by superimposing them in the initial alignment order and using the best fit method. RESULTS: There were no significant differences between the four analyzed software types; however, group 4, composed of the combination of D-CAD (Blender-InLAB), obtained the highest average (-0.0324 SD = 0.0456), with a higher accuracy compared to the group with the lowest average (group 5, composed of the combination of the Meshmixer and Blender models), a generic software and a specific software (0.1024 SD = 0.0819). CONCLUSION: Although no evidence of significant difference was found regarding the accuracy of 3D models produced by G-CAD and D-CAD, combinations of groups where specific dental design software was present showed higher accuracy (precision and trueness). The comparison of the 3D graphics obtained with the superimposition of the digital meshes of the printed models performed with the help of the analysis software using the best fit method, replicating the same five reference points for the six groups formed, evidenced a greater tolerance in the groups using D-CAD.

Patient journey of individuals tested for HCV in Spain: LiverTAI, a retrospective analysis of EHRs through natural language processing / Recorrido hospitalario de los pacientes testados para VHC en España: LiverTAI, un análisis retrospectivo de las HCE a través del procesamiento del lenguaje natural

Objectives: Limited screening and delays in diagnosis and linkage-to-care are barriers for hepatitis C virus (HCV) elimination. The LiverTAI study focused on patients tested for HCV using AI technologies to describe their demographic and clinical characteristics and pre-testing patient journeys, reflecting clinical practice in hospitals. Patients and methods: LiverTAI is a retrospective, secondary analysis of electronic health records (EHRs) from 6 tertiary Spanish hospitals, extracting unstructured clinical data using natural language processing (NLP) EHRead® technology. Adult subjects with an HCV testing procedure from January 2014 to December 2018 were grouped according to HCV seropositivity and viremia. Results: From 2,440,358 patients, 16,261 patients were tested for HCV (13,602 [83.6%] HCV seronegative; 2659 [16.4%] seropositive). Active HCV viremia appeared in 37.7% (n=1003) of patients, 18.6% (n=494) had negative viremia, and 43.7% (n=1162) unknown viremia. Patient journeys showed core departments (Gastroenterology, Internal Medicine, and Infectious Disease) and others including Emergency perform ample HCV testing in Spanish hospitals, whereas Medical Oncology lags. Patients were PCR-tested and genotyped significantly faster in core departments (p<.001). Conclusions: Our results highlight hospital departments responsible for HCV testing. However, further testing was sub-optimal during the study period. Therefore, we underscore the need for HCV screening and reflex testing to accelerate diagnosis and linkage-to-care.(AU)

Objetivos: El cribado limitado, los retrasos diagnósticos y la vinculación a la atención sanitaria son obstáculos para la eliminación del virus de la hepatitis C (VHC). El estudio LiverTAI se centró en analizar pacientes testeados para VHC mediante tecnologías de IA para describir sus características demográficas, clínicas y los recorridos de los pacientes antes del test, reflejando la práctica clínica en los hospitales. Pacientes y métodos: LiverTAI es un análisis retrospectivo y secundario de las historias clínicas electrónicas (HCE) de 6 hospitales españoles de tercer nivel, en el que se extraen datos clínicos no estructurados mediante la tecnología EHRead® de procesamiento del lenguaje natural (PLN). Los sujetos adultos con un test de VHC desde enero de 2014 hasta diciembre de 2018 se agruparon según la seropositividad y la viremia del VHC. Resultados: De 2.440.358 pacientes, 16.261 fueron testeados para VHC (13.602 [83,6%] seronegativos al VHC; 2.659 [16,4%] seropositivos). La viremia activa del VHC apareció en el 37,7% (n=1.003) de los pacientes, el 18,6% (n=494) mostró viremia negativa y el 43,7% (n=1.162), viremia desconocida. Los recorridos de los pacientes mostraron que los departamentos core (gastroenterología, medicina interna y enfermedades infecciosas) y otros, incluyendo urgencias, realizan numerosos test de VHC en los hospitales españoles, mientras que oncología médica se queda atrás. Los pacientes fueron sometidos a la prueba de la PCR y el genotipo significativamente más rápido en los departamentos core (p<0,001). Conclusiones: Nuestros resultados destacan los departamentos hospitalarios responsables de realizar test de VHC mediante pruebas serológicas. Sin embargo, las pruebas posteriores (PCR, genotipado) experimentaban retrasos durante el periodo de estudio. Por lo tanto, subrayamos la necesidad de realizar el cribado del VHC y de diagnóstico en un solo paso para acelerar el diagnóstico y la vinculación a la atención sanitaria.(AU)

Patient journey of individuals tested for HCV in Spain: LiverTAI, a retrospective analysis of EHRs through natural language processing.

OBJECTIVES: Limited screening and delays in diagnosis and linkage-to-care are barriers for hepatitis C virus (HCV) elimination. The LiverTAI study focused on patients tested for HCV using AI technologies to describe their demographic and clinical characteristics and pre-testing patient journeys, reflecting clinical practice in hospitals. PATIENTS AND METHODS: LiverTAI is a retrospective, secondary analysis of electronic health records (EHRs) from 6 tertiary Spanish hospitals, extracting unstructured clinical data using natural language processing (NLP) EHRead® technology. Adult subjects with an HCV testing procedure from January 2014 to December 2018 were grouped according to HCV seropositivity and viremia. RESULTS: From 2,440,358 patients, 16,261 patients were tested for HCV (13,602 [83.6%] HCV seronegative; 2659 [16.4%] seropositive). Active HCV viremia appeared in 37.7% (n=1003) of patients, 18.6% (n=494) had negative viremia, and 43.7% (n=1162) unknown viremia. Patient journeys showed core departments (Gastroenterology, Internal Medicine, and Infectious Disease) and others including Emergency perform ample HCV testing in Spanish hospitals, whereas Medical Oncology lags. Patients were PCR-tested and genotyped significantly faster in core departments (p<.001). CONCLUSIONS: Our results highlight hospital departments responsible for HCV testing. However, further testing was sub-optimal during the study period. Therefore, we underscore the need for HCV screening and reflex testing to accelerate diagnosis and linkage-to-care.

Clinical performance of Determine HBsAg 2 rapid test for Hepatitis B detection.

Hepatitis B virus (HBV) infection is estimated to affect 292 million people worldwide, 90% of them are unaware of their HBV status. The Determine HBsAg 2 (Alere Medical Co, Ltd Chiba Japan [Now Abbott]) is a rapid test that meets European Union (EU) regulatory requirements for Hepatitis B surface antigen 2 (HBsAg) analytical sensitivity, detecting the 0.1 IU/mL World Health Organization (WHO) International HBsAg Standard. This prospective, multicentre study was conducted to establish its clinical performance. 351 evaluable subjects were enrolled, 145 HBsAg-positive. The fingerstick whole blood sensitivity and specificity were 97.2% and 98.5% (15' reading, reference assay cut-off 0.05 IU/mL), sensitivity increasing to 97.9% with the prespecified cut-off 0.13 IU/mL (EU regulations). The venous whole blood, serum and plasma sensitivity was 97.2%, 97.9%, and 98.6%, respectively (15' reading); reaching 99%, 99.5% and 100% specificity. A testing algorithm following up an initial positive fingerstick test result with plasma/serum test demonstrates 100% specificity. The Determine HBsAg 2 test gives 15-minute results with high sensitivity and specificity, making it an ideal tool for point-of-care testing, with the potential to enable large-scale population-wide screening to reach the WHO HBV diagnostic targets. The evaluated test improves the existing methods as most of the reviewed rapid tests do not meet the EU regulatory requirements of sensitivity.

Conocimientos sobre sexualidad en estudiantes universitarios / How much university students know about sex

Se estudia el grado de conocimientos en sexualidad, abarcando los rubros de anatomía-fisiología, embarazo, puerperio, métodos anticonceptivos y enfermedades venéreas, en estudiantes universitarios de primer y tercer año,de: Medicina, Derecho, Ingeniería y Educación. El grado de conocimientos en métodos anticonceptivos se encuentra muy inferior a los otros rubros, siendo de mucho interés en la prevención de embarazos precoces. Se aprecia que las siguientes variables se asocian a mejores puntajes: ser mujer, casado, estudiar medicina, cursar tercer año, provenir de colegio no mixto y ser hijo de padre pertenecientea las FF.AA. Se discuten estos resultados en relación a tres factores generales: educación formal, experiencia e interés personal. Se encuentra que las fuentes de información mas usadas son los profesores y los libros. La familia ocupa un lugar secundario. Los estudiantes realizan una adecuada autoevaluación de sus conocimientos sobre el tema, ubicándose más de la mitad en las categorías mas bajas. Se aprecia cierta relación entre mejores autoevaluaciones, mayores puntajes, usar los libros como fuente de información, y no los profesores, y utilizar un mayor número de éstas fuentes