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Resumen La mayor accesibilidad a los tratamientos de reproducción asistida (RA) y los avances de la criobiología produjeron cambios en los laboratorios de andrología. El objetivo de este trabajo fue analizar la demanda y evolución de las variables seminales en las últimas dos décadas, caracterizar el laboratorio andrológico actual, evaluar el impacto de la incorporación del aseguramiento de la calidad y la inclusión de los sistemas computarizados (CASA). Se utilizaron datos de las medias mensuales del control de calidad interno (n=22 528) y encuestas a profesionales de laboratorios andrológicos (n=65) y a médicos especialistas en fertilidad (n=33). La demanda global se redujo significativamente con el aumento de las solicitudes de primera vez. El volumen y recuento, variables dependientes de andrógenos, disminuyeron con los años. El criterio estricto en morfología disminuyó el porcentaje de normales; la mitad de los médicos encuestados recibieron resultados entre 0 y 10% y el 40% consideró que ponía en riesgo el valor clínico de la variable. El sistema CASA permitió objetivar la cinética espermática e incrementar el porcentaje de progresivos rápidos, pero pocos laboratorios lo incorporaron. El 66% de los médicos resuelven el factor andrológico severo por tratamientos clínicos y el 95% utiliza técnicas de RA. El análisis de semen es ejecutado fundamentalmente por bioquímicos especializados, con baja adhesión a la automatización y acreditación del laboratorio, pero con participación en programas de evaluación externa de calidad. La demanda disminuyó como consecuencia del aumento del tratamiento por RA. La reducción del porcentaje de formas normales compromete su utilidad clínica.
Abstract Increasing availability to assisted reproduction (AR) treatments in Argentina and advances in cryobiology resulted in changes in andrology laboratories. The aim of this study was to evaluate the demand and evolution of seminal variables in the last two decades, characterise the current andrology laboratory, evaluate the impact of the incorporation of quality assurance and the introduction of computer assisted semen analysis (CASA). Data were taken from internal quality control (IQC) monthly means (n=22 528) and professionals in charge of laboratories (n=65) and fertility physicians' (n=33) surveys. Overall demand decreased significantly while first-time orders increased. Sperm volume and sperm count -androgen dependent parameters- decreased over the years. Strict morphology criteria reduced the percentage of normal results; half of the physicians received results between 0 and 10% and 40% considered that it compromised the clinical value of the variable. The CASA system made it possible to objectify sperm kinetic, increasing the percentage of fast progressives, but few laboratories have incorporated it. Sixty-six percent of physicians resolve severe andrological factor by clinical treatments and 95% use AR techniques in those cases. Semen analysis is mainly performed by specialised biochemists, with low adherence to laboratory automatisation and accreditation, but with participation in external quality assessment programmes. The demand decreased because of the increase in AR treatment. The lower percentage of normal forms compromises their clinical utility.
Resumo O aumento do acesso aos tratamentos de reprodução assistida (RA) e os avanços na criobiologia levaram a mudanças nos laboratórios de andrologia. O objetivo deste trabalho foi analisar a demanda e a evolução das variáveis de sêmen nas últimas duas décadas, caracterizar o laboratório de andrologia atual, avaliar o impacto da incorporação da garantia da qualidade e a inclusão dos sistemas computadorizados (CASA). Foram utilizados dados das médias mensais do controle de qualidade interno (n= 22 528) e pesquisas a profissionais de laboratórios andrológicos e a médicos especialistas em fertilidade (n=33). A demanda geral diminuiu significativamente com o aumento das solicitações de primeira vez. O volume e a contagem de esperma, parâmetros dependentes de andrógenos, diminuíram ao longo dos anos. O critério morfológico rigoroso diminuiu a porcentagem de normais; metade dos médicos entrevistados recebeu resultados entre 0 e 10% e 40% considerou que isso comprometía o valor clínico do parâmetro. O sistema CASA, permitiu objetivar a cinética espermática e aumentar o percentual de progressões rápidas, mas poucos laboratórios o incorporaram. 66% dos médicos resolvem o fator andrológico grave por tratamentos clínicos e 95% utilizam técnicas de RA nesses casos. A análise do sêmen é realizada principalmente por bioquímicos especializados, com baixa aderência à automação e acreditação laboratorial, mas com participação em programas de avalação externa de qualidade. A demanda diminuiu como consequência do aumento do tratamento por RA. A diminuição em percentagem de formas normais compromete sua utilidade clínica.
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RESUMEN Recientes investigaciones destacan la importancia de la ciberseguridad en la creciente era digital. El 83% de las organizaciones han experimentado brechas de seguridad en el 2022, costándoles en promedio 4,35 millones de dólares americanos por incidente. En Perú, la ciberseguridad está regulada por diversas normas, estableciendo medidas de protección de datos y la seguridad informática. Objetivo Describir la situación de la ciberseguridad en los servicios de apoyo al médico ocupacional (SAMO). Material y métodos Se incluyeron 11 SAMO. Se elaboró un cuestionario no validado para recolectar la información consentida sobre la gestión de la ciberseguridad de los SAMO que brindaban servicio a un importante proyecto de construcción en Lima Metropolitana. Resultados La mayoría de los establecimientos de salud (más del 80%) tuvo planes de respuesta a incidentes de seguridad cibernética para garantizar una respuesta rápida ante un ataque cibernético; realizaban copias de seguridad de los datos críticos con regularidad y los almacenaban en un lugar diferente a establecimiento; y actualizaban regularmente los sistemas operativos y programas de softwares buscando asegurar que se utilizan versiones seguras. Conclusión Existe una gestión de la seguridad informática predominantemente reactiva. El reporte discute la importancia de la ciberseguridad, resaltando la exposición de la información médica y los servicios a riesgos cibernéticos y planteamos retos futuros para la ciberseguridad, subrayando la importancia de la preparación ante amenazas futuras en un entorno en constante transformación digital.
SUMMARY Recent investigations emphasize the importance of cybersecurity in the growing digital era; 83% of organizations experienced breaks in cyber security in 2022, spending a mean of 4,35 million dollars per incident. Cybersecurity in Peru is regulated by legal norms aimed at protecting data and providing informatic security. Objective To describe cybersecurity in the support services to occupational physicians (SSOP) in the city of Lima. Methods A non-validated survey was created and distributed to 11 SSOPs in Lima that provide a service to an important building project in Lima. Results More than 80% of health care establishments had a response plan against cybernetic attacks; security copies of the data were done regularly storing them in a different place than the establishment and regularly updated security software's. Conclusion The cybersecurity program is reactive. We discuss the importance of cybersecurity and analyze future challenges as well as emphasize the importance of preemptive preparedness in an environment of constant digital transformation.
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Objective@#To explore an accurate method to obtain an intraoral model of patients with specific limited mouth opening (microstomia) due to systemic scleroderma.@*Methods@#This study followed medical ethics, and informed consent has been obtained from patients. A case of Ken's Type I mandibular dentition defect scleroderma with limited mouth opening was addressed with digital technology as the leading method combined with the traditional impression method of segmental impression. Individual trays were made based on the patient's left and right mandibular dentition, and segmented molds were obtained. Simultaneously, intraoral scanning was performed to obtain the morphological data of both the soft and hard tissues of the upper and lower mandibles. After each part of the model was obtained, the mandibular model was scanned and digitally aligned to form the final denture model, and the final removable partial denture was designed and made by computer aided design/computer aided manufacturing (CAD/CAM) technology. At the same time, combined with the literature, the diagnosis and treatment of removable partial denture in patients with limited mouth opening were retrospectively analyzed.@*Results@#The denture was well retained and achieved a good repair effect. The patients expressed satisfaction with the mastication efficiency and other functions of the denture. The findings of the literature review show that the integration of digital technology with the traditional impression method, along with computer fitting, can accurately obtain the patient's oral model and facilitate successful follow-up repairs. However, when the anterior mandibular dentition of the patient is absent, the margin of error is increased in this procedure, which deserves further exploration.@*Conclusion@#Utilizing digital technology as the leading method, combined with the traditional impression method of segmental impression, for the repair of dental defects in patients with limited mouth opening, has proven to be effective. Thus, patients report a positive medical experience with high satisfaction, indicating that this approach is worthy of clinical promotion.
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@#After years of development, the advantages of computer-assisted orthognathic surgery have been widely recognized. However, the clinical application of this technology is challenging. Each step may generate errors from data acquisition, computer-assisted diagnosis, and computer-assisted surgical design, causing errors to be transferred from the virtual surgical plan to the operation. The accumulation and amplification of errors will affect the final surgical effect. Currently, digital devices, such as intraoral scanners, are being explored for error control, utilizing automation methods and algorithms, and implementing personalized bone positioning methods. Moreover, there are still many problems that have not been fully resolved, such as precise simulation of postoperative soft tissue, functional assessment of mandibular movement, and absorbable internal fixation materials. Fully understanding computer-assisted orthognathic surgery's limitations could provide direction for optimizing existing methods while helping clinicians avoid risks and maximize its advantages to achieve the best outcome. Many emerging and cutting-edge technologies, such as personalized titanium plates, artificial intelligence, and surgical robots, will further promote the development of this discipline. We can expect future optimization of digital orthognathic surgical technology by innovations in automation, intelligence, and personalization.
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ObjectiveTo explore the effect of brain-computer interface (BCI) based on visual, auditory and motor feedback combined with transcranial direct current stimulation (tDCS) on upper limb function in stroke patients. MethodsFrom March to October, 2023, 45 stroke inpatients in Xuzhou Rehabilitation Hospital and Xuzhou Central Hospital were divided into BCI group (n = 15), tDCS group (n = 15) and combined group (n = 15) randomly. All the groups received routine rehabilitation, while BCI group received BCI training, tDCS group received tDCS, while the combined group received tDCS and followed by BCI training immediately, for four weeks. They were assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Action Research Arm Test (ARAT), modified Barthel Index (MBI) and delta-alpha ratio (DAR) and power ratio index (PRI) of electroencephalogram before and after treatment. ResultsThe scores of FMA-UE, ARAT and MBI increased in all the groups after treatment (|t| > 5.350, P < 0.001), and all these indexes were the best in the combined group (F > 3.366, P < 0.05); while DAR and PRI decreased in all the groups (|t| > 2.208 , P < 0.05), they were the best in the combined group (F > 5.224, P < 0.01). ConclusionBCI based on visual, auditory and motor feedback combined with tDCS can further improve the motor function of upper limbs and the activities of daily living of stroke patients.
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Objective@#To study the clinical effect of a polyetheretherketone (PEEK) bonding bridge on the loss of 3 internal incisors in patients with periodontitis.@*Methods@#This study was reviewed and approved by the ethics committee, and informed consent was obtained from the patients. Thirty-eight patients with periodontitis and 3 missing central or lateral teeth were selected to undergo restoration with a PEEK bonding bridge and then returned to the hospital 3, 6, 12, and 24 months after the restoration was completed. The survival rate of the restorations was assessed by the modified USPHS/Ryge criteria. The plaque index, gingival index, periodontal probing depth and attachment loss of the abutments were recorded, and the changes in periodontal tissues after restoration were observed and compared.@*Results@#Over 24 months of clinical follow-up observation of 38 patients, only 1 patient underwent secondary bonding after partial debonding (evaluated as grade B), while bonding was successful in the other 37 cases (evaluated as grade A). The plaque index, gingival index and periodontal probing depth were significantly lower after restoration than before (P<0.05). There was no significant change in attachment loss between before and after restoration (P>0.05).@*Conclusion@#For periodontitis patients missing 3 internal incisors, short-term PEEK bonding bridge repair has good clinical efficacy.
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Objective To explore the imaging features, clinical outcome, and prognosis of indeterminate pulmonary nodules (IPN) in patients with high-grade soft tissue sarcoma. Methods A retrospective study of 82 patients with high-grade soft tissue sarcoma who have IPNs. The clinical characteristics, imaging features of IPN, and survival of patients were analyzed with statistical software. Results The IPN size of 82 patients was 6.453±0.864 mm. IPN diameter, shape, density, and nodule discovery interval may be CT imaging features related to malignancy tendency. Age (HR=1.047, 95%CI: 1.007-1.088) and interval between each nodule discovery (HR=3.194, 95%CI: 1.052-9.694) are independent factors that affect the survival of patients with malignant IPN. Conclusion The imaging features of chest CT may provide important guidance for determining the nature and survival prognosis of benign and malignant nodules.
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Objective: To identify health education interventions that have demonstrated improvements in the visual and ocular health of computer-using workers with Computer Vision Syndrome. Method: Bibliographic review of original articles in Spanish and English, published between 2017 and June 2022 in PubMed, Scopus, MEDLINE (EBSCO), Redalyc, and Ovid databases. Results: Out of 1,695 articles, 11 complied with the protocol. Of these, 90.90% were published from 2020 to June 2022 and India had the highest number of publications (27.27%). Most of the studies were experimental or quasi-experimental (36.36%), and for the qualitative synthesis they were classified in educational interventions with technology 54.54% (n=6) and those that handled traditional education 45.45% (n=5). Conclusion: Health education interventions were shown to contribute to the improvement of visual and ocular health of computer users with Computer Vision Syndrome. It is necessary to investigate and divulge results about the topic, which contribute to the processes of promotion of visual and ocular health, as well as in the prevention of Computer Vision Syndrome in the workplace
Objetivo: Identificar intervenciones de educación para la salud que hayan demostrado me-joras en la salud visual y ocular de trabajadores usuarios de computadoras con Síndrome de Visión por Computador. Método: Revisión bibliográfica de artículos originales en español e inglés, publicados entre 2017 y junio de 2022 en las bases de datos PubMed, Scopus, MEDLINE (EBSCO), Redalyc y Ovid. Resultados: De 1.695 artículos, 11 cumplieron con el protocolo. De estos, el 90,90% se publicaron desde 2020 hasta junio de 2022 y la India tuvo el mayor número de publicaciones (27,27%). La mayoría de los estudios fueron experimentales o cuasi-experimentales (36,36%), y para la síntesis cualitativa se clasificaron en intervenciones educativas con tecnología 54,54% (n=6) y las que manejaban educación tradicional 45,45% (n=5). Conclusión: Se demostró que las intervenciones de educación en salud contribuyen a la mejora de la salud visual y ocular de los usuarios de computadora con Síndrome de Visión por Computador. Es necesario investigar y divulgar resultados sobre el tema, que contribuyan a los procesos de promoción de la salud visual y ocular, así como en la prevención del Síndrome de Visión por Computador en el ámbito laboral
Objetivo: Identificar intervenções de educação em saúde que demonstraram melhorias na saúde visual e ocular de trabalhadores usuários de computador com Síndrome de Visão de Computa-dor. Método: Revisão bibliográfica de artigos originais em espanhol e inglês, publicados entre 2017 e junho de 2022 nas bases de dados PubMed, Scopus, MEDLINE (EBSCO), Redalyc e Ovid. Resultados: Dos 1.695 artigos, 11 estavam de acordo com o protocolo. Destes, 90,90% foram publicados de 2020 a junho de 2022 e a Índia apresentou o maior número de publicações (27,27%). A maioria dos estudos foi experimental ou quase-experimental (36,36%), e para a síntese qualitativa foram classificados em intervenções educativas com tecnologia 54,54% (n=6) e aquelas que tratavam da educação tradicional 45,45% (n=5). Conclusão: As intervenções de educação em saúde demonstraram contribuir para a melhoria da saúde visual e ocular de usuários de computador com Síndrome de Visão de Computador. É preciso investigar e divulgar resulta-dos sobre o tema, que contribuam nos processos de promoção da saúde visual e ocular, bem como na prevenção da Síndrome da Visão do Computador no ambiente de trabalho
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Educación en Salud , Astenopía , Salud Pública , Salud Laboral , RevisiónRESUMEN
Abstract Studies evaluating the roughness, wettability and microbial adhesion of 3D-printed resins for complete denture bases and teeth are scarce. Objective This study evaluated the surface roughness, wettability and adhesion of multispecies biofilms (Candida albicans, Staphylococcus aureus and Streptococcus mutans) on 3D-printed resins for complete denture bases and teeth compared to conventional resins (heat-polymerized acrylic resin; artificial pre-fabricated teeth). Methodology Circular specimens (n=39; 6.0 mm Ø × 2.0 mm) of each group were subjected to roughness (n=30), wettability (n=30) and biofilm adhesion (n=9) tests. Three roughness measurements were taken by laser confocal microscopy and a mean value was calculated. Wettability was evaluated by the contact angle of sessile drop method, considering the mean of the three evaluations per specimen. In parallel, microorganism adhesion to resin surfaces was evaluated using a multispecies biofilm model. Microbial load was evaluated by determining the number of Colony Forming Units (CFU/mL) and by scanning electron microscopy (SEM). Data were subjected to the Wald test in a generalized linear model with multiple comparisons and Bonferroni adjustment, as well as two-way ANOVA (α=5%). Results The roughness of the conventional base resin (0.01±0.04) was lower than that of the conventional tooth (0.14±0.04) (p=0.023) and 3D-printed base (0.18±0.08) (p<0.001). For wettability, conventional resin (84.20±5.57) showed a higher contact angle than the 3D-printed resin (60.58±6.18) (p<0.001). Higher microbial loads of S. mutans (p=0.023) and S. aureus (p=0.010) were observed on the surface of the conventional resin (S. mutans: 5.48±1.55; S. aureus: 7.01±0.57) compared to the 3D-printed resin (S. mutans: 4.11±1.96; S. aureus: 6.42±0.78). The adhesion of C. albicans was not affected by surface characteristics. The conventional base resin showed less roughness than the conventional dental resin and the printed base resin. Conclusion The 3D-printed resins for base and tooth showed less hydrophobicity and less adhesion of S. mutans and S. aureus than conventional resins.
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Introducción: El uso excesivo de las redes sociales ha generado diversas secuelas en la salud mental y visual-ocular, dando lugar al Síndrome Visual Informático (SVI) por sobreexposición a las pantallas. Objetivo: Analizar la influencia del uso de las redes sociales en el síndrome visual informático en adolescentes en una realidad peruana. Métodos: Se realizó una investigación de enfoque cuantitativo, hipotético-deductivo, transaccional, correlacional-causal, con una muestra de 126 adolescentes. Para recabar información acerca del uso de las redes sociales, se utilizó el ARS de Escurra y Salas. Para verificar la prevalencia del SVI, se empleó el Cuestionario de Síndrome Visual Informático de Seguí y colaboradores; ambos instrumentos fueron adaptados a formato Google Forms para su aplicación en línea. Resultados: Se encontró una asociación significativa entre el tiempo de permanencia en las redes sociales (RS) y el SVI (p=0,027<0,05); además, se evidenció el impacto significativo de la Adicción a las Redes Sociales (ARS) sobre el SVI (p=0,000<0.01), los síntomas visuales (p=0,000<0.01), oculares (p=0,000<0.01) y astenópicos (p=0,003<0.01). Conclusiones: El estudio demuestra una clara conexión entre el uso excesivo de redes sociales y el SVI en adolescentes peruanos, subrayando la necesidad de una acción conjunta de padres y educadores para mitigar los riesgos y promover un uso digital saludable.
Introduction: The excessive use of social media has generated various sequelae on mental and visual-ocular health, leading to Computer Vision Syndrome (CVS) due to screen overexposure. Objective: To analyze the influence of social media use on computer vision syndrome in adolescents in a Peruvian context. Methods: A quantitative, hypothetical-deductive, transactional, correlational-causal study was conducted with a sample of 126 adolescents. To gather information about social media use, the ARS by Escurra and Salas was used. To verify the prevalence of CVS, the Computer Vision Syndrome Questionnaire by Seguí and collaborators was employed; both instruments were adapted to Google Forms format for online application. Results: A significant association was found between the time spent on social media (SM) and CVS (p=0.027<0.05); additionally, a significant impact of Social Media Addiction (SMA) on CVS (p=0.000<0.01), visual symptoms (p=0.000<0.01), ocular symptoms (p=0.000<0.01), and asthenopic symptoms (p=0.003<0.01) was evidenced. Conclusions: The study demonstrates a clear connection between excessive use of social media and CVS in Peruvian adolescents, highlighting the need for joint action by parents and educators to mitigate risks and promote healthy digital use.
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Objective: to build, validate, and evaluate an educational health website on home care for newborns for use by pregnant women, postpartum women, and family members. Method: methodological study developed according to the Analyze, Design, Develop, Implement, and Evaluate model. After construction, the website was validated by 20 experts and evaluated by 20 individuals from the target audience, and the data wasanalyzed according to the Concordance Index with a cut-off point equal to or greater than 0.7 (70%). Results: in the validation, the Concordance Index for all the items was higher than 0.7 (70%), with a variation between 0.75 (75%) and 1 (100%), reaching an overall average value of 0.91 (91%). In the evaluation, all the items got top marks, with anoverall average value of 1 (100%). Conclusion: the educational website was built, validated, and evaluated in a satisfactory manner. It can be considered an appropriate tool for its purpose, with benefits in the teaching-learning process for families regarding postnatal home care fornewborns through its use. It can also be used to educate students and health professionals. The website is available for free access via laptops, computers, smartphones, or tablets.
Objetivo: construir, validar y evaluar un sitio web educativo en salud sobre cuidados domiciliarios del recién nacido para uso de mujeres embarazadas, puérperas y sus familias. Método: estudio metodológico desarrollado según el modelo Analyze, Design, Develop, Implement and Evaluate . Luego de su construcción, el sitio web fue validado por 20 expertos y evaluado por 20 personas del público objetivo, y los datos analizados según el Índice de Concordancia con un punto de corte igual o superior a 0,7 (70%). Resultados: en la validación, el Índice de Concordancia para todas las cuestiones fue superior a 0,7 (70%), con una variación entre 0,75 (75%) y 1 (100%), alcanzando un valor promedio general de 0,91 (91%). En la evaluación, todos los ítems obtuvieron la máxima puntuación, con un valor medio global de 1 (100%). Conclusión: el sitio web educativo fue construido, validado y evaluado de manera satisfactoria y puede ser considerado una herramienta adecuada para su objetivo, aportando beneficios al proceso de enseñanza-aprendizaje de las familias sobre el cuidado domiciliario posparto del recién nacido por medio de su uso. Además, también se puede aplicar a la educación de estudiantes y profesionales de la salud. El sitio web está disponible para acceso libre y gratuito por medio de notebooks , computadoras, smartphones o tablets .
Objetivo: construir, validar e avaliar um website educacional em saúde sobre os cuidados domiciliares com os recém-nascidos para uso de gestantes, puérperas e familiares. Método: estudo metodológico desenvolvido conforme o modelo Analyze, Design, Develop, Implement and Evaluate . Após a construção, o website foi validado por 20 experts e avaliado por 20 indivíduos do público-alvo e os dados analisados conforme Índice de Concordância com ponto de corte igual ou maior a 0,7 (70%). Resultados: na validação, o Índice de Concordância de todos os quesitos foi maior do que 0,7 (70%), com variação entre 0,75 (75%) e 1 (100%), alcançando valor médio global de 0,91 (91%). Na avaliação, todos os itens obtiveram nota máxima, com valor médio global de 1 (100%). Conclusão: o website educacional foi construído, validado e avaliado de maneira satisfatória, pode ser considerado uma ferramenta adequada ao seu objetivo, com benefícios no processo de ensino-aprendizagem das famílias, quanto ao cuidado pós-natal domiciliar com os recém-nascidos mediante sua utilização. Além disso, também pode ser aplicada na educação de estudantes e profissionais de saúde. O website encontra-se disponível para o acesso livre e gratuito por meio de notebooks , computadores, smartphones ou tablets .
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ABSTRACT Objective: to validate the content and appearance of a website for adolescents living with Diabetes Mellitus. Method: this is methodological research based on the DADI (Definition, Architecture, Design, Implementation) theoretical framework. A total of 16 health professionals participated in content validity, who answeres a questionnaire prepared on Google Forms® with 19 items related to objectives, structure/presentation, relevance. Website appearance validity was carried out by 12 Information Technology professionals through a questionnaire with 15 items divided into two domains (appearance and design). Results: the overall Content Validity Index was 0.98, and all items assessed obtained agreement values > 0.80. The overall Kappa coefficient was 0.6374, considered statistically significant (p-value <0.0001). The Appearance Validity Index presented a general index of 0.91 (above 0.9 considered validated). Conclusion: the website for adolescents living with Diabetes Mellitus was validated in terms of content and appearance, creating an educational technology with safe, necessary and pertinent information to help adolescents living with Diabetes Mellitus understand this chronic condition and support them in self-care safely and effectively.
RESUMEN Objetivo: validar el contenido y apariencia de un sitio web para adolescentes que viven con Diabetes Mellitus. Método: investigación metodológica basada en el marco teórico DADI (definición, arquitectura, diseño, implementación). En la validación de contenido participaron 16 profesionales de la salud, quienes respondieron a un cuestionario creado mediante Google Forms® con 19 ítems relacionados con objetivos, estructura/presentación, relevancia. La validación de la apariencia del sitio web fue realizada por 12 profesionales de Tecnologías de la Información a través de un cuestionario con 15 ítems divididos en dos dominios (apariencia y diseño). Resultados: el Índice de Validez de Contenido general fue de 0,98, todos los ítems evaluados obtuvieron valores de concordancia > 0,80. El coeficiente Kappa global fue de 0,6374, considerado estadísticamente significativo (valor de p <0,0001). El Índice de Validez de Apariencia presentó un Índice general de 0,91 (por encima de 0,9 se considera validado). Conclusión: el sitio web para adolescentes que viven con Diabetes Mellitus fue validado en contenido y apariencia, configurándose como una tecnología educativa con información segura, necesaria y pertinente para ayudar a los adolescentes que viven con Diabetes Mellitus a comprender esta condición crónica y apoyarlos en el autocuidado de forma segura y efectiva.
RESUMO Objetivo: validar o conteúdo e a aparência de um website para adolescentes que convivem com Diabetes Mellitus. Método: pesquisa metodológica embasada no referencial teórico DADI (definição, arquitetura, design, implementação, avaliação). Participaram da validação de conteúdo 16 profissionais da área da saúde, os quais responderam a um questionário elaborado no Google Forms® com 19 itens, relacionados aos objetivos, estrutura/apresentação, relevância. A validação da aparência do website foi realizada por 12 profissionais da Tecnologia da Informação, por meio de um questionário com 15 itens divididos em dois domínios (aparência e designer). Resultados: o Índice de Validade de Conteúdo geral foi de 0,98, todos os itens avaliados obtiveram valores de concordância >0,80. O coeficiente de Kappa geral foi 0,6374, considerado estatisticamente significativo (p-value<0,0001). O Índice de Validade de Aparência apresentou Índice geral de 0,91 (acima de 0,9 considerado validado). Conclusão: o website para adolescentes que convivem com Diabetes Mellitus foi validado, quanto ao conteúdo e à aparência, configurando-se como uma tecnologia educacional com informações seguras, necessárias e pertinentes para auxiliar os adolescentes que convivem com Diabetes Mellitus na compreensão dessa condição crônica e subsidiá-los para o autocuidado com segurança e eficácia.
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ABSTRACT Purpose: To assess the effect of the coronavirus disease 2019 (COVID-19) pandemic on cataract surgery by residents who had mandatory surgical simulator training during residency. Methods: In this retrospective, observational analytical study, the total number of cataract surgeries and surgical complications by all senior residents of 2019 (2019 class; prepandemic) and 2020 (2020 class; affected by the reduced number of elective surgeries due to the COVID-19 pandemic) were collected and compared. All residents had routine mandatory cataract surgery training on a virtual surgical simulator during residency. The total score obtained by these residents on cataract challenges of the surgical simulator was also evaluated. Results: The 2020 and 2019 classes performed 1275 and 2561 cataract surgeries, respectively. This revealed a reduction of 50.2% in the total number of procedures performed by the 2020 class because of the pandemic. The incidence of surgical complications was not statistically different between the two groups (4.2% in the 2019 class and 4.9% in the 2020 class; p=0.314). Both groups also did not differ in their mean scores on the simulator's cataract challenges (p<0.696). Conclusion: Despite the reduction of 50.2% in the total number of cataract surgeries performed by senior residents of 2020 during the COVID-19 pandemic, the incidence of surgical complications did not increase. This suggests that surgical simulator training during residency mitigated the negative effects of the reduced surgical volume during the pandemic.
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ABSTRACT Purpose: Evaluation of lid contour and marginal peak point changes to compare outcomes of external levator advancement and Müller's muscle conjunctival resection surgery in unilateral ptosis. Methods: We reviewed the charts of unilateral ptosis patients who underwent external levator advancement or Müller's muscle conjunctival resection. Eyelid contour analysis was conducted on preoperative and 6-month postoperative digital images. This was performed with the multiple margin reflex distances technique, measuring the vertical distance from a line intersecting the center of the pupil to the eyelid margin at 10 positions at 2 mm intervals. The marginal peak point changes were analyzed digitally using the coordinates of the peak point according to the pupil center. Each position's mean distance was compared preoperatively, postoperatively, and with the fellow eyelid. Results: Sixteen patients underwent external levator advancement and 16 patients had Müller's muscle conjunctival resection. The mean margin reflex distance was improved by both techniques (1.46 vs. 2.43 mm and 1.12 vs. 2.25 mm, p=0.008 and p=0.0001 respectively) and approached that of the fellow eyelid (2.43 vs. 2.88 and 2.25 vs. 2.58 mm, p=0.23 and p=0.19, respectively). However, statistically significant lid margin elevation was limited to between the N6 and T6 points in the external levator advancement group. Whereas, significant elevation was achieved along the whole lid margin in the Müller's muscle conjunctival resection group. The marginal peak point was shifted slightly laterally in the external levator advancement group (p=0.11). Conclusions: Both techniques provide effective lid elevation, however, the external levator advancement's effect lessens toward the canthi while Müller's muscle conjunctival resection provides more uniform elevation across the lid margin. The margin reflex distance alone is not sufficient to reflect contour changes.
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ABSTRACT Objectives: to assess the predictive performance of different artificial intelligence algorithms to estimate bed bath execution time in critically ill patients. Methods: a methodological study, which used artificial intelligence algorithms to predict bed bath time in critically ill patients. The results of multiple regression models, multilayer perceptron neural networks and radial basis function, decision tree and random forest were analyzed. Results: among the models assessed, the neural network model with a radial basis function, containing 13 neurons in the hidden layer, presented the best predictive performance to estimate the bed bath execution time. In data validation, the squared correlation between the predicted values and the original values was 62.3%. Conclusions: the neural network model with radial basis function showed better predictive performance to estimate bed bath execution time in critically ill patients.
RESUMEN Objetivos: evaluar el rendimiento predictivo de diferentes algoritmos de inteligencia artificial para estimar el tiempo de ejecución del baño en cama en pacientes críticos. Métodos: estudio metodológico, que utilizó algoritmos de inteligencia artificial para predecir el tiempo de baño en cama en pacientes críticos. Se analizaron los resultados de modelos de regresión múltiple, redes neuronales perceptrón multicapa y función de base radial, árbol de decisión y random forest. Resultados: entre los modelos evaluados, el modelo de red neuronal con función de base radial, que contiene 13 neuronas en la capa oculta, presentó el mejor desempeño predictivo para estimar el tiempo de ejecución del baño en cama. En la validación de datos, la correlación al cuadrado entre los valores predichos y los valores originales fue del 62,3%. Conclusiones: el modelo de red neuronal con función de base radial mostró mejor rendimiento predictivo para estimar el tiempo de ejecución del baño en cama en pacientes críticos.
RESUMO Objetivos: avaliar a performance preditiva de diferentes algoritmos de inteligência artificial para estimar o tempo de execução do banho no leito em pacientes críticos. Métodos: estudo metodológico, que utilizou algoritmos de inteligência artificial para predizer o tempo de banho no leito em pacientes críticos. Foram analisados os resultados dos modelos de regressão múltipla, redes neurais perceptron multicamadas e função de base radial, árvore de decisão e random forest. Resultados: entre os modelos avaliados, o modelo de rede neural com função de base radial, contendo 13 neurônios na camada oculta, apresentou melhor performance preditiva para estimar o tempo de execução do banho no leito. Na validação dos dados, o quadrado da correlação entre os valores preditos e os valores originais foi de 62,3%. Conclusões: o modelo de rede neural com função de base radial apresentou melhor performance preditiva para estimar o tempo de execução do banho no leito em pacientes críticos.
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A interação com videogame aumentou significativamente na pandemia de COVID-19. Por outro lado, um aspecto atencional que pode apresentar alterações relacionadas à quantidade de interação com videogames de ação é o mindfulness. Portanto, o objetivo deste estudo foi verificar uma possível relação entre o uso de videogames de ação (em horas semanais), o mindfulness e o medo da COVID-19. Para tanto, solicitou-se a jogadores e não jogadores de videogames de ação com idades entre 18 e 29 anos (n = 384, M = 21,6, DP = 2,6) que respondessem à Escala de Medo da COVID-19 e à Escala de Facetas do Mindfulness. Os resultados não demonstraram relação significativa entre uso de videogames de ação e mindfulness, mas apontaram que jogadores de videogame de ação apresentaram menos medo da COVID-19. Discute-se como o escapismo proporcionado pelo jogo pode explicar, em parte, uma diminuição da atenção a informações relativas à doença
Interaction with video games increased significantly in the COVID-19 pandemic. On the other hand, an attentional aspect that may show changes related to the amount of interaction with action video games is mindfulness. Therefore, the objective of this study was to verify a possible relationship between the use of action video games (in weekly hours), mindfulness and fear of COVID-19. To this end, players and non-players of action video games aged between 18 and 29 years (n = 384, M = 21.6, SD = 2.6) were asked to respond to the Covid Fear Scale and the Facets of Mindfulness. Results did not demonstrate a significant relationship between the use of action video games and mindfulness, but showed that action video game players were less afraid of COVID-19. It is discussed how the escapism provided by the game can partly explain a decrease in attention to information related to the disease
La interacción con videojuegos aumentó en la pandemia de COVID-19. Por otro lado, un aspecto atencional que puede presentar cambios relacionados con la cantidad de interacción con los videojuegos de acción es el mindfulness. Luego, el objetivo de este estudio fue verificar una relación entre uso de video-juegos de acción, mindfulness y miedo al COVID-19. Se pidió a jugadores y no jugadores de videojuegos de acción de entre 18 y 29 años (n = 384, M = 21,6, SD = 2,6) que respondieran a la Escala de Miedo al COVID y la Escala de Facetas de Mindfulness. Los resultados no demostraron una relación significativa entre uso de videojuegos de acción y mindfulness, pero señalaron que jugadores de videojuegos de acción tenían menos miedo a la COVID-19. Se discute cómo el escapismo proporcionado por el juego explicaría en parte una disminución en la atención a la información relacionada con la enfermedad
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ABSTRACT Objective: To explore the diagnostic value of the TUIAS (SW_TH01/II) computer-aided diagnosis (CAD) software system for the ultrasound Thyroid Imaging Reporting and Data System (TI-RADS) features in thyroid nodules. Materials and methods: This retrospective study enrolled patients with thyroid nodules in Shanghai East Hospital between January 2017 and October 2021. The novel CAD software (SW_TH01/II) and three sonographers performed a qualitative analysis of the ultrasound TI-RADS features in aspect ratio, margin irregularity, margin smoothness, calcification, and echogenicity of the thyroid nodules. Results: A total of 225 patients were enrolled. The accuracy, sensitivity, and specificity of the CAD software in "aspect ratio" were 95.6%, 96.2%, and 95.4%, in "margin irregularity" were 90.7%, 90.5%, and 90.9%, in "margin smoothness" were 85.8%, 88.5%, and 83.0%, in "calcification" were 83.6%, 81.7%, and 82.0%, in "homogeneity" were 88.9%, 90.6%, and 82.2%, in "major echo" were 85.3%, 88.0%, and 85.4%, and in "contains very hypoechoic echo" were 92.0%, 90.0%, and 92.4%. The analysis time of the CAD software was significantly shorter than for the sonographers (2.7 ± 1.6 vs. 29.7 ± 12.7 s, P < 0.001). Conclusion: The CAD system achieved high accuracy in describing thyroid nodule features. It might assist in clinical thyroid nodule analysis.
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ABSTRACT Purpose: As digital devices are increasingly used at work, valid and reliable tools are needed to assess their effect on visual health. This study aimed to translate, cross-culturally adapt, and validate the Computer Vision Syndrome Questionnaire (CVS-Q©) into Portuguese. Methods: A 5-phase process was followed: direct translation, synthesis of translation, back-translation, consolidation by an expert committee, and pretest. To run the pretest, a cross-sectional pilot study was conducted with 26 participants who completed the prefinal Portuguese version of the CVS-Q© and were asked about difficulties, comprehensibility, and suggestions to improve the questionnaire. To evaluate the reliability and validity of the Portuguese version of the CVS-Q©, a cross-sectional validation study was performed in a different sample (280 workers). Results: In the pretest, 96.2% had no difficulty in completing it, and 84.0% valued it as clear and understandable. CVS-Q© in Portuguese (Questionário da Síndrome Visual do Computador, CVS-Q PT©) was then obtained. Validation revealed the scale's good internal consistency (Cronbach's alpha=0.793), good temporal stability (intraclass correlation coefficient=0.847; 95% CI 0.764-0.902, kappa=0.839), adequate sensitivity and specificity (78.5% and 70.7%, respectively), good discriminant capacity (area under the curve=0.832; 95% CI 0.784-0.879), and adequate convergent validity with the ocular surface disease index (Spearman correlation coefficient=0.728, p<0.001). The factor analysis provided a single factor accounting for 37.7% of the explained common variance. A worker who scored ≥7 points would have computer vision syndrome. Conclusions: CVS-Q PT© can be considered an intuitive and easy-to-understand tool with good psychometric properties to measure computer vision syndrome in Portuguese workers exposed to digital devices. This questionnaire will assist in making decisions on preventive measures, interventions, and treatment and comparing exposed populations in different Portuguese-speaking countries.
RESUMO Objetivos: À medida que a utilização de equipamentos digitais no emprego aumenta, a avaliação do seu efeito na saúde visual necessita de ferramentas válidas e robustas. Este estudo teve como objetivo traduzir, adaptar culturalmente e validar para português o Questionário da Síndrome Visual do Computador (CVS-Q©). Métodos: O procedimento foi realizado em 5 fases: tradução direta, síntese da tradução, tradução inversa, consolidação por um painel de especialistas, e pré-teste. Para fazer o pré-teste foi realizado um estudo piloto transversal aplicado a uma amostra de 26 participantes que completaram a versão pré-final da versão portuguesa do CVS-Q©, questionando por dificuldades, compreensão e sugestões de melhoria do questionário. Para avaliar a confiança e validade da versão portuguesa do CVS-Q© foi realizado um estudo transversal de validação em uma amostra diferente (280 funcionários). Resultados: No préteste, 96.2% dos participantes não apresentaram dificuldades no preenchimento do questionário, enquanto 84.0% indicaram que era claro e compreensível. Obteve-se, então, o CVS-Q© em português (Questionário da Síndrome Visual do Computador, CVS-Q PT©). A sua validação revelou uma boa consistência interna da sua escala (Cronbach's alpha=0.793), boa estabilidade tem poral (coeficiente de correlação interclasse=0.847; 95% CI 0.764-0.902, kappa=0.839), sensibilidades e especificidades adequadas (78.5% e 70.7%, respetivamente), boa capacidade de discriminação (área abaixo da curva=0.832; 95% CI 0.784-0.879), e uma adequada validade da convergência com o índice de doença da superfície ocular (ocular surface disease index - OSDI; coeficiente de correlação de Spearman=0.728, p<0.001). A análise fatorial revelou um único fator responsável por explicar a variância comum em 37.7%. Um funcionário com uma pontuação ≥7 pontos sofria de síndrome visual do computador. Conclusão: O CVS-Q PT© pode ser considerada uma ferramenta intuitiva, de fácil interpretação e com boas pro priedades psicométricas para avaliar a síndrome visual do computador em funcionários portugueses expostos a ecrãs digitais. Este questionário facilitará as decisões sobre medidas preventivas, intervenções e tratamento, e a comparação entre as populações expostas em diferentes países de língua portuguesa.
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ABSTRACT Purpose: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels. Methods: A publicly available ocular disease intelligent recognition database has been used for the diagnosis of eight diseases. This ocular disease intelligent recognition database has a total of 10,000 fundus images from both eyes of 5,000 patients for the following eight diseases: healthy, diabetic retinopathy, glaucoma, cataract, age-related macular degeneration, hypertension, myopia, and others. Ocular disease classification performances were investigated by constructing three pretrained convolutional neural network architectures including VGG16, Inceptionv3, and ResNet50 models with adaptive moment optimizer. These models were implemented in Google Colab, which made the task straight-forward without spending hours installing the environment and supporting libraries. To evaluate the effectiveness of the models, the dataset was divided into 70%, 10%, and 20% for training, validation, and testing, respectively. For each classification, the training images were augmented to 10,000 fundus images. Results: ResNet50 achieved an accuracy of 97.1%; sensitivity, 78.5%; specificity, 98.5%; and precision, 79.7%, and had the best area under the curve and final score to classify cataract (area under the curve = 0.964, final score = 0.903). By contrast, VGG16 achieved an accuracy of 96.2%; sensitivity, 56.9%; specificity, 99.2%; precision, 84.1%; area under the curve, 0.949; and final score, 0.857. Conclusions: These results demonstrate the ability of the pretrained convolutional neural network architectures to identify ophthalmological diseases from fundus images. ResNet50 can be a good architecture to solve problems in disease detection and classification of glaucoma, cataract, hypertension, and myopia; Inceptionv3 for age-related macular degeneration, and other disease; and VGG16 for normal and diabetic retinopathy.
RESUMO Objetivo: Avaliar o desempenho de classificação de modelos ou arquiteturas de rede neural convolucional pré--treinadas usando um conjunto de dados de imagem de fundo de olho contendo oito rótulos de doenças diferentes. Métodos: Neste artigo, o conjunto de dados de reconhecimento inteligente de doenças oculares publicamente disponível foi usado para o diagnóstico de oito rótulos de doenças diferentes. O banco de dados de reconhecimento inteligente de doenças oculares tem um total de 10.000 imagens de fundo de olho de ambos os olhos de 5.000 pacientes para oito categorias que contêm rótulos saudáveis, retinopatia diabética, glaucoma, catarata, degeneração macular relacionada à idade, hipertensão, miopia, outros. Investigamos o desempenho da classificação de doenças oculares construindo três arquiteturas de rede neural convolucional pré-treinadas diferentes, incluindo os modelos VGG16, Inceptionv3 e ResNet50 com otimizador de Momento Adaptativo. Esses modelos foram implementados no Google Colab o que facilitou a tarefa sem gastar horas instalando o ambiente e suportando bibliotecas. Para avaliar a eficácia dos modelos, o conjunto de dados é dividido em 70% para treinamento, 10% para validação e os 20% restantes utilizados para teste. As imagens de treinamento foram expandidas para 10.000 imagens de fundo de olho para cada tal. Resultados: Observou-se que o modelo ResNet50 alcançou acurácia de 97,1%, sensibilidade de 78,5%, especificidade de 98,5% e precisão de 79,7% e teve a melhor área sob a curva e pontuação final para classificar a categoria da catarata (área sob a curva=0,964, final=0,903). Em contraste, o modelo VGG16 alcançou uma precisão de 96,2%, sensibilidade de 56,9%, especificidade de 99,2% e precisão de 84,1%, área sob a curva 0,949 e pontuação final de 0,857. Conclusão: Esses resultados demonstram a capacidade das arquiteturas de rede neural convolucional pré-treinadas em identificar doenças oftalmológicas a partir de imagens de fundo de olho. ResNet50 pode ser uma boa solução para resolver problemas na detecção e classificação de doenças como glaucoma, catarata, hipertensão e miopia; Inceptionv3 para degeneração macular relacionada à idade e outras doenças; e VGG16 para retinopatia normal e diabética.
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Abstract: Severe acute respiratory infection (SARI) outbreaks occur annually, with seasonal peaks varying among geographic regions. Case notification is important to prepare healthcare networks for patient attendance and hospitalization. Thus, health managers need adequate resource planning tools for SARI seasons. This study aims to predict SARI outbreaks based on models generated with machine learning using SARI hospitalization notification data. In this study, data from the reporting of SARI hospitalization cases in Brazil from 2013 to 2020 were used, excluding SARI cases caused by COVID-19. These data were prepared to feed a neural network configured to generate predictive models for time series. The neural network was implemented with a pipeline tool. Models were generated for the five Brazilian regions and validated for different years of SARI outbreaks. By using neural networks, it was possible to generate predictive models for SARI peaks, volume of cases per season, and for the beginning of the pre-epidemic period, with good weekly incidence correlation (R2 = 0.97; 95%CI: 0.95-0.98, for the 2019 season in the Southeastern Brazil). The predictive models achieved a good prediction of the volume of reported cases of SARI; accordingly, 9,936 cases were observed in 2019 in Southern Brazil, and the prediction made by the models showed a median of 9,405 (95%CI: 9,105-9,738). The identification of the period of occurrence of a SARI outbreak is possible using predictive models generated with neural networks and algorithms that employ time series.
Resumo: Surtos de síndrome respiratória aguda grave (SRAG) ocorrem anualmente, com picos sazonais variando entre regiões geográficas. A notificação dos casos é importante para preparar as redes de atenção à saúde para o atendimento e internação dos pacientes. Portanto, os gestores de saúde precisam ter ferramentas adequadas de planejamento de recursos para as temporadas de SRAG. Este estudo tem como objetivo prever surtos de SRAG com base em modelos gerados com aprendizado de máquina usando dados de internação por SRAG. Foram incluídos dados sobre casos de hospitalização por SRAG no Brasil de 2013 a 2020, excluindo os casos causados pela COVID-19. Estes dados foram preparados para alimentar uma rede neural configurada para gerar modelos preditivos para séries temporais. A rede neural foi implementada com uma ferramenta de pipeline. Os modelos foram gerados para as cinco regiões brasileiras e validados para diferentes anos de surtos de SRAG. Com o uso de redes neurais, foi possível gerar modelos preditivos para picos de SRAG, volume de casos por temporada e para o início do período pré-epidêmico, com boa correlação de incidência semanal (R2 = 0,97; IC95%: 0,95-0,98, para a temporada de 2019 na Região Sudeste). Os modelos preditivos obtiveram uma boa previsão do volume de casos notificados de SRAG; dessa forma, foram observados 9.936 casos em 2019 na Região Sul, e a previsão feita pelos modelos mostrou uma mediana de 9.405 (IC95%: 9.105-9.738). A identificação do período de ocorrência de um surto de SRAG é possível por meio de modelos preditivos gerados com o uso de redes neurais e algoritmos que aplicam séries temporais.
Resumen: Brotes de síndrome respiratorio agudo grave (SRAG) ocurren todos los años, con picos estacionales que varían entre regiones geográficas. La notificación de los casos es importante para preparar las redes de atención a la salud para el cuidado y hospitalización de los pacientes. Por lo tanto, los gestores de salud deben tener herramientas adecuadas de planificación de recursos para las temporadas de SRAG. Este estudio tiene el objetivo de predecir brotes de SRAG con base en modelos generados con aprendizaje automático utilizando datos de hospitalización por SRAG. Se incluyeron datos sobre casos de hospitalización por SRAG en Brasil desde 2013 hasta 2020, salvo los casos causados por la COVID-19. Se prepararon estos datos para alimentar una red neural configurada para generar modelos predictivos para series temporales. Se implementó la red neural con una herramienta de canalización. Se generaron los modelos para las cinco regiones brasileñas y se validaron para diferentes años de brotes de SRAG. Con el uso de redes neurales, se pudo generar modelos predictivos para los picos de SRAG, el volumen de casos por temporada y para el inicio del periodo pre-epidémico, con una buena correlación de incidencia semanal (R2 = 0,97; IC95%: 0,95-0,98, para la temporada de 2019 en la Región Sudeste). Los modelos predictivos tuvieron una buena predicción del volumen de casos notificados de SRAG; así, se observaron 9.936 casos en 2019 en la Región Sur, y la predicción de los modelos mostró una mediana de 9.405 (IC95%: 9.105-9.738). La identificación del periodo de ocurrencia de un brote de SRAG es posible a través de modelos predictivos generados con el uso de redes neurales y algoritmos que aplican series temporales.