Modeling drug transport and absorption in subcutaneous injection of monoclonal antibodies: Impact of tissue deformation, devices, and physiology.

The pharmaceutical industry has experienced a remarkable increase in the use of subcutaneous injection of monoclonal antibodies (mAbs), attributed mainly to its advantages in reducing healthcare-related costs and enhancing patient compliance. Despite this growth, there is a limited understanding of how tissue mechanics, physiological parameters, and different injection devices and techniques influence the transport and absorption of the drug. In this work, we propose a high-fidelity computational model to study drug transport and absorption during and after subcutaneous injection of mAbs. Our numerical model includes large-deformation mechanics, fluid flow, drug transport, and blood and lymphatic uptake. Through this computational framework, we analyze the tissue material responses, plume dynamics, and drug absorption. We analyze different devices, injection techniques, and physiological parameters such as BMI, flow rate, and injection depth. Finally, we compare our numerical results against the experimental data from the literature.

RNA aggregates harness the danger response for potent cancer immunotherapy.

Cancer immunotherapy remains limited by poor antigenicity and a regulatory tumor microenvironment (TME). Here, we create "onion-like" multi-lamellar RNA lipid particle aggregates (LPAs) to substantially enhance the payload packaging and immunogenicity of tumor mRNA antigens. Unlike current mRNA vaccine designs that rely on payload packaging into nanoparticle cores for Toll-like receptor engagement in immune cells, systemically administered RNA-LPAs activate RIG-I in stromal cells, eliciting massive cytokine/chemokine response and dendritic cell/lymphocyte trafficking that provokes cancer immunogenicity and mediates rejection of both early- and late-stage murine tumor models. In client-owned canines with terminal gliomas, RNA-LPAs improved survivorship and reprogrammed the TME, which became "hot" within days of a single infusion. In a first-in-human trial, RNA-LPAs elicited rapid cytokine/chemokine release, immune activation/trafficking, tissue-confirmed pseudoprogression, and glioma-specific immune responses in glioblastoma patients. These data support RNA-LPAs as a new technology that simultaneously reprograms the TME while eliciting rapid and enduring cancer immunotherapy.

Reduced precipitation can induce ecosystem regime shifts in lakes by increasing internal nutrient recycling.

Eutrophication is a main threat to continental aquatic ecosystems. Prevention and amelioration actions have been taken under the assumption of a stable climate, which needs reconsideration. Here, we show that reduced precipitation can bring a lake ecosystem to a more productive regime even with a decline in nutrient external load. By analyzing time series of several decades in the largest lake of the Iberian Peninsula, we found autocorrelated changes in the variance of state variables (i.e., chlorophyll and oxygen) indicative of a transient situation towards a new ecosystem regime. Indeed, exceptional planktonic diatom blooms have occurred during the last few years, and the sediment record shows a shift in phytoplankton composition and an increase in nutrient retention. Reduced precipitation almost doubled the water residence time in the lake, enhancing the relevance of internal processes. This study demonstrates that ecological quality targets for aquatic ecosystems must be tailored to the changing climatic conditions for appropriate stewardship.

Effect of Chitosan-Riboflavin Bioconjugate on Green Mold Caused by Penicillium digitatum in Lemon Fruit.

Penicillium digitatum is the causal agent of green mold, a primary postharvest disease of citrus fruits. This study evaluated the efficacy of a novel photoactive chitosan-riboflavin bioconjugate (CH-RF) to control green mold in vitro and in lemon fruit. The results showed total inhibition of P. digitatum growth on APDA supplemented with CH-RF at 0.5% (w/v) and a significant reduction of 84.8% at 0.25% (w/v). Lemons treated with CH-RF and kept under controlled conditions (20 °C and 90-95% relative humidity) exhibited a noteworthy reduction in green mold incidence four days post-inoculation. Notably, these effects persisted, with all treatments remaining significantly distinct from the control group until day 14. Furthermore, CH-RF showed high control of green mold in lemons after 20 days of cold storage (5 ± 1 °C). The disease incidence five days after cold storage indicated significant differences from the values observed in the control. Most CH-RF treatments showed enhanced control of green mold when riboflavin was activated by white-light exposure. These findings suggest that this novel fungicide could be a viable alternative to conventional synthetic fungicides, allowing more sustainable management of lemon fruit diseases.

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.

Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies according to the predicted response for each individual patient. The design of personalized therapies requires the integration of patient-specific information with an appropriate mathematical model of tumor response. A fundamental barrier to realizing this paradigm is the current lack of a rigorous yet practical mathematical theory of tumor initiation, development, invasion, and response to therapy. We begin this review with an overview of different approaches to modeling tumor growth and treatment, including mechanistic as well as data-driven models based on big data and artificial intelligence. We then present illustrative examples of mathematical models manifesting their utility and discuss the limitations of stand-alone mechanistic and data-driven models. We then discuss the potential of mechanistic models for not only predicting but also optimizing response to therapy on a patient-specific basis. We describe current efforts and future possibilities to integrate mechanistic and data-driven models. We conclude by proposing five fundamental challenges that must be addressed to fully realize personalized care for cancer patients driven by computational models.

Foliar nitrogen uptake in broadleaf evergreen Mediterranean forests: Fertilisation experiment with labelled nitrogen.

Atmospheric nitrogen (N) deposition in Mediterranean sclerophyllous forests of Holm oak (Quercus rotundifolia, Q. ilex) in Spain often exceeds empirical critical loads established for ecosystem conservation. There are still uncertainties on the capacity of canopy retention and uptake of the atmospheric N deposited of these forests. Studying and analysing all the forest nitrogen-cycle processes is essential to understand the potential effect of N deposition in these ecosystems. This study conducted a year-long short-term fertilisation experiment with labelled ammonium (15N-NH4) and nitrate (15N-NO3) to estimate foliar N absorption rates and assess the influence of leaf phenology and meteorological seasonal variations. Fertilising solutions were prepared to simulate low and high wet N deposition concentration, based on data reported from previous studies. Additionally, ecophysiological and meteorological measurements were collected to explore potential relationships between absorption rates, plant activity, and weather conditions. The results showed that Holm oak leaves were able to absorb both oxidised and reduced N compounds, with higher rates of NH4+ absorption. N recovery of both NH4+ and NO3- was higher in the low concentration treatments, suggesting reduced effectiveness of absorption as concentration increases. Foliar absorption rates were leaf-age dependent, with the highest values observed in young developing leaves. Foliar uptake showed seasonal changes with a clear reduction during the summer, linked to drought and dry weather conditions, and showing also smaller leaf net assimilation and stomatal conductance. During the rest of the year, foliar N absorption was not clearly associated to plant physiological activity but with environmental conditions. Our findings suggest that Holm oak canopies could absorb an important part of the incoming N deposition, but this process is compound, season and leaf phenology dependent. Further research is therefore needed to better understand and model this part of the N cycle.

A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model.

Active surveillance (AS) is a suitable management option for newly diagnosed prostate cancer, which usually presents low to intermediate clinical risk. Patients enrolled in AS have their tumor monitored via longitudinal multiparametric MRI (mpMRI), PSA tests, and biopsies. Hence, treatment is prescribed when these tests identify progression to higher-risk prostate cancer. However, current AS protocols rely on detecting tumor progression through direct observation according to population-based monitoring strategies. This approach limits the design of patient-specific AS plans and may delay the detection of tumor progression. Here, we present a pilot study to address these issues by leveraging personalized computational predictions of prostate cancer growth. Our forecasts are obtained with a spatiotemporal biomechanistic model informed by patient-specific longitudinal mpMRI data (T2-weighted MRI and apparent diffusion coefficient maps from diffusion-weighted MRI). Our results show that our technology can represent and forecast the global tumor burden for individual patients, achieving concordance correlation coefficients from 0.93 to 0.99 across our cohort (n = 7). In addition, we identify a model-based biomarker of higher-risk prostate cancer: the mean proliferation activity of the tumor (P = 0.041). Using logistic regression, we construct a prostate cancer risk classifier based on this biomarker that achieves an area under the ROC curve of 0.83. We further show that coupling our tumor forecasts with this prostate cancer risk classifier enables the early identification of prostate cancer progression to higher-risk disease by more than 1 year. Thus, we posit that our predictive technology constitutes a promising clinical decision-making tool to design personalized AS plans for patients with prostate cancer. SIGNIFICANCE: Personalization of a biomechanistic model of prostate cancer with mpMRI data enables the prediction of tumor progression, thereby showing promise to guide clinical decision-making during AS for each individual patient.

Poroelastic Characterization and Modeling of Subcutaneous Tissue Under Confined Compression.

Subcutaneous tissue mechanics are important for drug delivery. Yet, even though this material is poroelastic, its mechanical characterization has focused on its hyperelastic response. Moreover, advancement in subcutaneous drug delivery requires effective tissue mimics such as hydrogels for which similar gaps of poroelastic data exist. Porcine subcutaneous samples and gelatin hydrogels were tested under confined compression at physiological conditions and strain rates of 0.01%/s in 5% strain steps with 2600 s of stress relaxation between loading steps. Force-time data were used in an inverse finite element approach to obtain material parameters. Tissues and gels were modeled as porous neo-Hookean materials with properties specified via shear modulus, effective solid volume fraction, initial hydraulic permeability, permeability exponent, and normalized viscous relaxation moduli. The constitutive model was implemented into an isogeometric analysis (IGA) framework to study subcutaneous injection. Subcutaneous tissue exhibited an initial spike in stress due to compression of the solid and fluid pressure buildup, with rapid relaxation explained by fluid drainage, and longer time-scale relaxation explained by viscous dissipation. The inferred parameters aligned with the ranges reported in the literature. Hydraulic permeability, the most important parameter for drug delivery, was in the range k 0 ∈ [ 0.142 , 0.203 ] mm 4 /(N s). With these parameters, IGA simulations showed peak stresses due to a 1-mL injection to reach 48.8 kPa at the site of injection, decaying after drug volume disperses into the tissue. The poro-hyper-viscoelastic neo-Hookean model captures the confined compression response of subcutaneous tissue and gelatin hydrogels. IGA implementation enables predictive simulations of drug delivery.

Expanded specific T cells to hypomutated regions of the SARS-CoV-2 using mRNA electroporated antigen-presenting cells.

The COVID-19 pandemic has caused about seven million deaths worldwide. Preventative vaccines have been developed including Spike gp mRNA-based vaccines that provide protection to immunocompetent patients. However, patients with primary immunodeficiencies, patients with cancer, or hematopoietic stem cell transplant recipients are not able to mount robust immune responses against current vaccine approaches. We propose to target structural SARS-CoV-2 antigens (i.e., Spike gp, Membrane, Nucleocapsid, and Envelope) using circulating human antigen-presenting cells electroporated with full length SARS-CoV-2 structural protein-encoding mRNAs to activate and expand specific T cells. Based on the Th1-type cytokine and cytolytic enzyme secretion upon antigen rechallenge, we were able to generate SARS-CoV-2 specific T cells in up to 70% of unexposed unvaccinated healthy donors (HDs) after 3 subsequent stimulations and in 100% of recovered patients (RPs) after 2 stimulations. By means of SARS-CoV-2 specific TCRß repertoire analysis, T cells specific to Spike gp-derived hypomutated regions were identified in HDs and RPs despite viral genomic evolution. Hence, we demonstrated that SARS-CoV-2 mRNA-loaded antigen-presenting cells are effective activating and expanding COVID19-specific T cells. This approach represents an alternative to patients who are not able to mount adaptive immune responses to current COVID-19 vaccines with potential protection across new variants that have conserved genetic regions.

Monitoring of simulated clandestine graves of victims using UAVs, GPR, electrical tomography and conductivity over 4-8 years post-burial to aid forensic search investigators in Colombia, South America.

In Colombia there are estimated to be over 121,000 missing people and victims of forced disappearances. Forensic investigators therefore need assistance in determining optimal detection techniques for buried victims, to give victims' families closure and for the wider community to see that justice is being served. Previous research has created 12 controlled simulated clandestine graves of typical Colombian murder victim scenarios at 0.5 m - 1.2 m depths in savannah and rainforest sites in Colombia. The 0-3 years of geophysical monitoring results of were published, with this paper reporting on 4-8 years monitoring of both UAV drone results and geophysical data. The UAV results from the year 8 survey, published for first time from Colombia, showed that the simulated graves could still be located using NDVI and NIR multi-spectral data, but not using optical or other multi-spectral data. The 0-3 years of geophysical data found the simulated clandestine graves could be detected with electrical resistivity and GPR methods, with the 4-8 year surveys evidencing that they could still be detected using bulk ground conductivity surveys, GPR horizontal time slice datasets and 2D ERT profiles. Research implications suggest initial use of UAV remote sensing technology to pinpoint likely search areas, before subsequent ground reconnaissance, geophysical surveys and their interpretation, before intrusive investigation methods are employed for detecting missing and disappeared persons in Colombia.

Resistin Induces Migration and Invasion in PC3 Prostate Cancer Cells: Role of Extracellular Vesicles.

Resistin is an adipokine with metabolic and inflammatory functions. Epidemiological and translational studies report that an increase in plasma levels and tissue expression of resistin increases the aggressiveness of prostate tumor cells. Extracellular vesicles (EVs) are secreted constitutively and induced by cytokines, growth factors, and calcium and are found in multiple biological fluids such as saliva, serum, semen, and urine. In particular, EVs have been shown to promote tumor progression through the induction of proliferation, growth, angiogenesis, resistance to chemotherapy, and metastasis. However, the role of resistin in the migration, invasion, and secretion of EVs in invasive prostate tumor cells remains to be studied. In the present study, we demonstrate that resistin induces increased migration and invasion in PC3 cells. In addition, these phenomena are accompanied by increased p-FAK levels and increased secretion of MMP-2 and MMP-9 in resistin-treated PC3 cells. Interestingly, EVs isolated from supernatants of PC3 cells treated with resistin induce an increase in migration and invasion accompanied by high MMP-2 and MMP-9 secretion in an autocrine stimulation model. In summary, our data for the first time demonstrate that resistin induces migration and invasion, partly through the secretion of EVs with pro-invasive characteristics in PC3 cells.

Dataset of conditions and characteristics of street vendors located in public spaces in Colombia.

The objective of this document is to introduce the datasets and the methods for accessing them, derived from the article "Social, commercial, and economic diversity. Poverty and expectations among street vendors in Florencia, Caquetá, Colombia." These datasets aim to provide insights into the conditions and characteristics of street vending in Colombia. The data collection process involved both mapping and personal surveys conducted on 190 street vendors. Additionally, practical recommendations are provided for tailoring the implementation of each survey instrument based on the specific attributes of the study's target demographic. The collected data holds the potential for comparative and longitudinal analyses, not only within different Colombian cities but also in cities worldwide facing similar circumstances to those of intermediate cities like Florencia. These datasets offer a valuable resource for understanding the dynamics of street vending and its implications, fostering more comprehensive research and informed policymaking.

Spatial analysis methodology of resistance to penetration and infiltration in a soil cultivated with a bushy fruit (Acca sellowiana)

The sustainable management of water and soil resources for agricultural purposes is related to the ability to store and mobilize available water for crops, particularly under a spatial analysis. The objective of the study was to design and evaluate a methodology for spatial analysis of resistance to soil penetration and infiltration on loamy-clay textures. The basic methodological principles included sampling grid planning, data capture at defined points, data fitting to empirical models, data processing, and spatial representation. A defining moment was evaluated for an established feijoa crop with permanent production. With a georeferenced rectangular sampling grid of 40m x 40m, an area of 1.36 ha was covered. Penetration resistance was measured with a penetrometer, covering 4 depths per node (sampled point). Infiltration was evaluated with ring infiltrometers. The results allowed validation of the methodology implemented through a single processing environment through RStudio. Resistance to penetration sensitively affected the variation in infiltration rates, adjusting planning activities for irrigation activities. The methodological proposal was designed to reduce processing times and graphic responses, tabulated, and integrated with a single script in the R tool, compared to traditional geostatistical techniques, which articulate the implementation of multiple tools for the generation of results.

La gestión sostenible de los recursos agua y suelo, con fines agrícolas, tiene relación con la capacidad para almacenar y movilizar agua disponible para los cultivos, particularmente, bajo un análisis espacial. El objetivo del estudio fue diseñar y evaluar una metodología de análisis espacial de la resistencia a la penetración e infiltración del suelo sobre texturas franco-arcillosas. Los principios básicos metodológicos incluyeron planificación de grilla de muestreo, captura de datos en puntos definidos, ajuste de datos a modelos empíricos, procesamiento y representación espacial de datos. Se evaluó un momento definido para un cultivo de feijoa establecido con producción permanente. Con una grilla de muestreo rectangular georreferenciada de 40m x 40m, se abarcó una superficie de 1,36 ha. La resistencia a penetración, se midió con un penetrómetro, cubriendo 4 profundidades por nodo (punto muestreado). La infiltración fue evaluada con anillos infiltrómetros. Los resultados permitieron validar la metodología implementada, mediante un entorno de procesamiento único, a través de RStudio. La resistencia a la penetración afectó sensiblemente la variación en las tasas de infiltración, ajustando actividades de planeación de actividades de riego. La propuesta metodológica fue diseñada para disminuir tiempos de procesamiento y respuestas gráficas, tabuladas e integradas en un único script en la herramienta R, comparado con técnicas tradicionales geoestadísticas, que articulan la implementación de múltiples herramientas para la generación de resultados.

Utilidad de la prueba de la lactato deshidrogenasa en fallecidos cubanos con sida y neumonía por Pneumocystis jirovecii

RESUMEN Introducción: La neumonía por Pneumocystis jirovecii es una de las enfermedades de mayor impacto negativo en los pacientes con sida. La imposibilidad de cultivar el agente que la provoca, así como su cuadro clínico inespecífico y el alto costo de los métodos diagnósticos moleculares, señalan la necesidad de otras alternativas para su diagnóstico. La prueba de la lactato deshidrogenasa representa una opción a considerar. Objetivo: Demostrar la utilidad de la prueba de la lactato deshidrogenasa como diagnóstico de la Pneumocystis jirovecii en fallecidos cubanos por sida. Métodos: Se realizó un estudio de casos y controles (25 casos [Pneumocystis jirovecii] y 30 controles [compuestos por tres grupos: tuberculosis, linfoma y neumonía bacteriana, respectivamente]) en fallecidos cubanos a los que se realizó la autopsia desde enero de 1996 a diciembre de 2016. Se utilizaron cinco rangos de corte para buscar el valor óptimo de la prueba. Resultados: En el presente estudio existen diferencias altamente significativas entre los pacientes analizados (casos y controles) y entre los restantes individuos que componen los controles con respecto al del linfoma. El rango de corte óptimo para la prueba de la lactato deshidrogenasa fue (550-<800 U/I) con sensibilidad de 80 % y especificidad de 63 %. La razón de disparidad (OR) demostró que existe 6,91 veces más probabilidades que los pacientes por Pneumocystis jirovecii tengan las cifras de LDH mayor que los pacientes controles. Conclusiones: Este trabajo aporta evidencias científicas del rol de la prueba de la lactato deshidrogenasa como herramienta complementaria para el diagnóstico de la Pneumocystis jirovecii.

ABSTRACT Introduction: Pneumocystis jirovecii pneumonia is one of the diseases causing the greatest negative impact on AIDS patients. The impossibility of culturing its causative agent, its unspecific clinical presentation and the high cost of molecular diagnostic methods, make it necessary to find other diagnostic alternatives. The lactate dehydrogenase test is an option to be considered. Objective: Demonstrate the usefulness of the lactate dehydrogenase test to diagnose Pneumocystis jirovecii in Cuban patients deceased with AIDS. Methods: A case-control study was conducted (25 cases [Pneumocystis jirovecii] and 30 controls [distributed into three groups: tuberculosis, lymphoma and bacterial pneumonia, respectively]) of Cuban deceased patients undergoing post-mortem examination from January 1996 to December 2016. Five cutoff ranges were used to find the optimal value of the test. Results: Highly significant differences were found between the patients analyzed (cases and controls) and between the remaining individuals making up the controls with respect to the one with lymphoma. The optimal cutoff range for the lactate dehydrogenase test was 550-<800 U/I, with 80% sensitivity and 63% specificity. The odds ratio (OR) showed that probabilities are 6.91 times greater that Pneumocystis jirovecii pneumonia patients have higher LDH figures than control patients. Conclusions: Scientific evidence is contributed of the role of the lactate dehydrogenase test as a complementary tool in the diagnosis of Pneumocystis jirovecii.

Carcinoma linfoepitelial de cuello uterino con recurrencia a distancia / Lymphoepithelioma-like carcinoma of the cervix with distant recurrence

Resumen El carcinoma similar al linfoepitelioma (LELC) del cuello uterino es una variante infrecuente del carcinoma de células escamosas. Se presenta el caso de una mujer con un tumor exofítico en el cuello uterino de consistencia aumentada, sangrado al tacto y parametrios libres de tumor clasificándose como etapa clínica IBI; el estudio histopatológico reportó LELC con recurrencia a distancia al año de seguimiento. Debido a su buen pronóstico existen pocos casos reportados de recurrencia posterior al tratamiento inicial.

Abstract Lymphoepithelioma-like carcinoma (LELC) of the cervix is an uncommon variant of squamous cell carcinoma. We present the case of a woman with an exophytic tumor on the cervix of increased consistency, bleeding to the touch and tumor-free parametriums classified as clinical stage IBI; the histopathological study reported LELC with distant recurrence at one year of follow-up. Due to its good prognosis, there are few reported cases of recurrence after initial treatment.

Validación de un cuestionario sobre condiciones de salud y bienestar psicológico en el personal de enfermería / Validation of a Questionnaire about Health Conditions and Psychologic Well-being among the Nursing Staff

Introducción: Las condiciones de salud del personal de enfermería no solo influyen en su estado de vida, sino en la calidad de las intervenciones que ofrecen a sus pacientes. Diagnosticarlas acertadamente posibilita la implementación de planes de prevención de la enfermedad más eficaces. Objetivo: Validar un cuestionario sobre condiciones de salud y bienestar psicológico del personal de enfermería en sus ambientes de trabajo. Métodos: Estudio cuantitativo con 357 enfermeros, entre los 18 y 58 años de edad, con más de un año de experiencia y que laboraban para instituciones de salud de 39 municipios de Antioquia, Colombia. Incluyó estudio de validez a partir del análisis factorial exploratorio y los niveles de confiabilidad empleando el Alfa de Cronbach. Resultados: La inclusión de los factores de la escala de bienestar psicológico de Ryff permitió evaluar integralmente el concepto de salud. La fiabilidad del instrumento se logró al no vincular atributos que valoraban aspectos como: alcoholismo, tabaquismo, sedentarismo, hábito por el chequeo médico periódico y sentimientos como felicidad y tristeza. Conclusiones: El instrumento es fiable y explica las condiciones de salud en ambientes laborales de la muestra y puede servir de referencia para otros estudios. Se concluye que la inclusión del bienestar psicológico según Ryff enriquece la evaluación integral de la salud para esta población(AU)

Introduction: The health conditions among the nursing staff influence not only their state of life, but also the quality of the interventions offered to their patients. Diagnosing such conditions accurately permits the implementation of more effective disease prevention plans. Objective: To validate a questionnaire about health conditions and psychological well-being of the nursing staff in their working environments. Methods: Quantitative study with 357 nurses, aged between 18 and 58 years, with more than one year of experience and working for health institutions in 39 municipalities of Antioquia, Colombia. It included a validity study based on exploratory factor analysis and reliability levels using Cronbach's alpha. Results: The included factors of Ryff's Scales of Psychological Well-being made it possible to evaluate comprehensively the concept of health. The reliability of the instrument was achieved by not linking attributes for assessing aspects such as alcoholism, smoking, sedentary lifestyle, habit to undergo periodic medical check-up, and feelings such as happiness and sadness. Conclusions: The instrument is reliable and explains the health conditions in working environments among the sample and can serve as a reference for other studies. It is concluded that the inclusion of psychological well-being, according to Ryff, enriches the comprehensive health assessment for this population(AU)

Ayudas externas para mejorar la independencia en personas con discapacidad visual / External aids for improving the Independence of persons with visual impairment

En los últimos años se ha incrementado la investigación con respecto al desarrollo de ayudas que mejoren la independencia de los discapacitados visuales. El propósito de esta revisión es determinar la evidencia científica relacionada con ayudas externas para mejorar la independencia en personas con discapacidad visual severa o ceguera. Para efectuar el trabajo fueron consultadas las bases de datos de PubMed, Cochrane Database-Wiley Online Library, LILACS y Scielo, además de las publicaciones de la Organización Mundial de la Salud, el Instituto Nacional de Ciegos en Colombia, el Consejo Internacional de Oftalmología y los patrones preferidos de práctica en rehabilitación visual, de la Academia Americana de Oftalmología. Se incluyó un total de 43 artículos y documentos en los idiomas inglés, portugués y español para ser analizados. La mayoría de estos estudios fueron descriptivos, y no se encontraron ensayos controlados ni metanálisis. La tendencia observada es hacia ayudas tecnológicas con un diseño dirigido al usuario y cada vez más pequeñas, discretas, con múltiples funciones que comprenden sus actividades de la vida diaria(AU)

In the last few years, research on the development of aids to improve the independence of visually impaired people has increased. The objective of this review was to determine the scientific evidence related to external aids to improve the independence of persons with severe visual impairment or blindness. To carry out the study, PubMed, Cochrane Database-Wiley Online Library, LILACS and Scielo databases were consulted in addition to publications by the World Health Organization, National Institute of Blind People in Colombia, the International Council of Ophthalmology and the preferred patterns in visual rehabilitation practice of the American Academy of Ophthalmology. A total number of 43 articles and documents in English, Portuguese and Spanish were included to be analyzed. Most of the studies were descriptive ones and neither controlled assays nor meta-analysis were found. The observed tendency is the use of technological aids with a user-tailored design and increasingly small, discreet, having many functions that cover the daily life activity of those persons(AU)