Abstract: Objective: Intestinal parasitic infections (IPIs) are a public health challenge in developing countries such as Colombia, causing anaemia and delayed growth and development in children. We aimed to estimate the geographical and prevalence trend of IPIs in the last 30years in school and preschool children in Colombia. Methods: We conducted a systematic review and meta-analysis. We identified potential manuscripts through PubMed, EMBASE, Web of Science, LILACS, Scielo and Google Scholar on the IPIs prevalence in school and preschool children in Colombia. Articles included in the qualitative analysis were published between 1990 and 2020 in English or Spanish and met the inclusion criteria. Subsequently, a random-effects meta-analysis, a meta-regression and a trend analysis were performed. Results: We identified 2292 articles; 109 were included in the qualitative review, and 79 articles were included in the meta-analysis. The estimated IPI prevalence was 55% (95% CI: 48–63). By age group, the prevalence in preschool children was 37% (95% CI: 26–49) and 66% (95% CI: 52–78) in schoolchildren. The prevalence by region was heterogeneous, with the Amazon being the highest (69%) and the Santanderes the lowest (28%). In the last 20years, the prevalence of helminthiasis has decreased (from 64.66% in 1990–1995 to 22.09% in 2016–2020). Conclusion: The prevalence of IPIs is high (>30%) in three of the seven regions in Colombia. Biannual administration of mass deworming in schoolchildren is recommended in the Amazon region. Public policies aiming to control IPIs should be reinforced. Further prevalence studies should include Cesar, Guaviare, Vichada and Vaupés, where the epidemiology of IPIs is unknown. Resumen: Objetivo: Las infecciones parasitarias intestinales (IPIs) son un desafío para la salud pública en los países en desarrollo como Colombia, ya que causan anemia y retraso en el crecimiento y desarrollo de los niños. El objetivo de este estudio fue estimar la tendencia de la prevalencia y la distribución geográfica de las IPIs en niños en edad escolar y preescolar en Colombia en los últimos 30 años. Métodos: Se llevó a cabo una revisión sistemática y un metaanálisis. Se identificaron estudios potenciales a través de PubMed, EMBASE, Web of Science, LILACS, Scielo y Google Scholar cuyo objetivo era estimar la prevalencia de las IPIs en niños en edad escolar y preescolar en Colombia. Se incluyeron artículos publicados entre 1990 y 2020, tanto en inglés como en español, que cumplieran con los criterios de inclusión. Posteriormente, se realizó un metaanálisis de efectos aleatorios, una meta-regresión y un análisis de tendencias. Resultados: Identificamos 2,292 artículos; 109 se incluyeron en la revisión cualitativa y 79 en el metaanálisis. La prevalencia estimada de las IPIs fue del 55% (IC del 95%: 48-63%). Según el grupo de edad, la prevalencia en niños preescolares fue del 37% (IC del 95%: 26-49%), y en niños en edad escolar fue del 66% (IC del 95%: 52-78%). La prevalencia por región fue heterogénea, siendo el departamento del Amazonas donde se ubicó la prevalencia más alta (69%) y los Santanderes la más baja (28%). En los últimos 20 años, la prevalencia de helmintiasis ha disminuido del 64.66% en 1990-1995 al 22.09% en 2016-2020. Conclusión: La prevalencia de las IPIs es alta (>30%) en tres de las siete regiones de Colombia. Se recomienda la administración bianual masiva de antiparasitarios en niños en edad escolar en la región del Amazonas. Las políticas públicas destinadas a controlar las IPIs deben reforzarse. Futuros estudios de prevalencia deben incluir a los departamentos de Cesar, Guaviare, Vichada y Vaupés, ya que son departamentos donde la epidemiología de las IPIs es desconocida.

Background: Post-stroke fatigue (PSF) is one of the most challenging clinical consequences to manage after stroke as no effective treatment has been developed. However, the mechanisms of PSF remain unclear. Aims: This study aimed to replicate Vecchio et al (2017) using resting-state EEG in stroke patients suffering from varying degrees of fatigue to describe the functional organisation within sensory and motor networks. Methods: Resting-state eyes-open EEG was recorded in 22 strokesurvivors. Upper limb functional tests (grip strength, Nine Hole Peg Test), symbol digit modalities test (SDTM), anxiety and depression scale (HADS), Fatigue Severity Scale (FSS-7), state fatigue, and Neurological Fatigue Index (NFI-stroke) were measured. Graph theory was used to calculate the small-world (SW) index. SW was calculated in four separate networks, motor and sensory within the left and right hemispheres. Exact low-resolution brain electromagnetic tomography (eLORETA) was applied using seven frequency bands (delta, theta, alpha1, alpha2, beta1, beta2, and gamma). Results: Correlation analysis demonstrated a positive association between SW in the right motor network in beta2 band and higher FSS-7 score and a negative correlation between SW in the left sensory network in alpha1 and higher state fatigue. Conclusion: Beta oscillations have been associated with top-down processes which are crucial for perceptual inference and alpha oscillations are involved in sensorimotor information processing. The interaction between the top-down and bottom-up processes, and perceived error explains the sensory attenuation model of fatigue. Our results were consistent this model of fatigue as stroke survivors had difficulty in attenuating the sensory input leading to higher perceived effort.

Background: Data are rare about the incidence of severe Fontan-associated liver disease (FALD) and its association with mortality. We sought to: (1) estimate the probability of developing severe FALD in patients who undergo the Fontan procedure (Fontan patients), compared with severe liver complications in patients with a ventricular septal defect; (2) assess the severe FALD-mortality association; and (3) identify risk factors for developing severe FALD. Methods and Results: Using the Quebec Congenital Heart Disease database, a total of 512 Fontan patients and 10232 patients with a ventricular septal defect were identified. Kaplan-Meier curves demonstrated significantly higher cumulative risk of severe FALD in Fontan patients (11.95% and 52.24% at 10 and 35years, respectively), than the risk of severe liver complica- tions in patients with a ventricular septal defect (0.50% and 2.75%, respectively). At 5years, the cumulative risk of death was 12.60% in patients with severe FALD versus 3.70% in Fontan patients without FALD (log-rank P=0.0171). Cox proportional hazard models identified significant associations between the development of severe FALD and congestive heart failure and supraventricular tachycardia, with hazard ratios (HRs) of 2.36 (95% CI, 1.38–4.02) and 2.45 (95% CI, 1.37–4.39), respectively. More recent Fontan completion was related to reduced risks of severe FALD, with an HR of 0.95 (95% CI, 0.93–0.97) for each more recent year. Conclusions: This large-scale population-based study documents that severe FALD in Fontan patients was associated with a >3-fold increase in mortality. The risk of FALD is time-dependent and can reach >50% by 35years after the Fontan operation. Conditions promoting poor Fontan hemodynamics were associated with severe FALD development.

Abstract: Background: Multidrug resistant TB cases have been on the rise, risking advances in TB prevalence and control. Early diagnosis and targeted initial treatment are paramount for effective management and control of spreading of MDR/XDR-TB cases Methods: 161 isolates from patients with L-J culture confirmed TB in Lima, Peru, were tested with MODS+ assay, the diagnostic test and Sensititre, the reference standard. Analysis of growth patterns of bacteria in both methods were used to determine susceptibility/resistance of each isolate to three first line and six second line anti-TB agents, using two different critical concentrations (CC) for each antibiotic. Results: Agreement between susceptibility profiles and operational characteristics of diagnostic test yielded high performance and strong agreement with rifampicin 1μg/ml (agreement percent 90%, Kappa value 0.80) and amikacin 1μg/ml (agreement percent 96%, Kappa value 0.81), moderate for isoniazid 0.4μg/ml (agreement percent 89.4%, Kappa value 0.78), moxifloxacin at both CC’s 0.5μg/ml and 0.25μg/ml (agreement percent 93 and kappa values 0.73 for both), levofloxacin 2μg/ml (agreement 93%, kappa 0.69) and amikacin 2μg/ml (agreement 96%, Kappa 0.81), minimal for levofloxacin at CC 1.5μg/ml (agreement 90%, kappa 0.57) kanamycin at both CC’s 10μg/ml and 5μg/ml (agreement 87%, kappa 0.52) and ethionamide 5μg/ml (agreement 89%, kappa 0.46), weak for PAS 10μg/ml (agreement percent 93.9, kappa value 0.29), and none for ethambutol (Kappa value 0.02 for CC 10μg/ml, 0.07 for CC 5μg/ml). Conclusions: MODS+ assay is a cost-effective option for the diagnosis of TB and MDR/XDRTB, specially, in low resource settings with high TB incidence. Further operational research using lower CC’s, results read on different days and placed in settings with high and low TB and MDR/XDRTB burden could offer better sensitivities and wider applicability of results.

Abstract: Background: Deep brain stimulation (DBS) surgery is a treatment in the advanced stage of Parkinson's disease (PD). Despite close follow-up, multiple evaluations, and several months of timeconsuming programming sessions, the clinical response may not be optimal in some cases. Imageguided programming (I-GP) could help optimize programming sessions with better clinical outcomes. Objective: To evaluate clinical and quality of life (QoL) outcomes with I-GP in PD patients with DBS of the subthalamic nucleus (STN) and suboptimal clinical improvement and refractory symptoms to conventional clinical programming. Methods: A prospective study in 16 patients with a diagnosis of PD with STN-DBS and remaining adverse effects or symptoms despite a clinical programming adjustment. We simulate potentially effective stimulation based on volume tissue activated (VTA) using commercially available software tools. Clinical outcomes were assessed with motor and quality of life scales. Results: The most frequent suboptimal symptom was gait disorder 33.3% (n=9), residual motor symptoms 25.9%(n=7), and speech 25.9%(n=7). Statistically significant results (p=0.001) were found after I-GP with change in the global Deep Brain Stimulation – Impairment score (41%), The 8- item version of the Parkinson's Disease Questionnaire (47%), EuroQol visual analogue scale (62%), and motor scale (24%). Conclusions: In suboptimal cases of patients with PD and STN-DBS, especially with ongoing and residual motor symptoms, I-GP could be useful to optimize the programming of DBS and improve patients' QoL.

Abstract: Spiking neural networks (SNNs) using time-to-first-spike (TTFS) codes, in which neurons fire at most once, are appealing for rapid and low power processing. In this theoretical paper, we focus on information coding and decoding in those networks, and introduce a new unifying mathematical framework that allows the comparison of various coding schemes. In an early proposal, called rankorder coding (ROC), neurons are maximally activated when inputs arrive in the order of their synaptic weights, thanks to a shunting inhibition mechanism that progressively desensitizes the neurons as spikes arrive. In another proposal, called NoM coding, only the first N spikes of M input neurons are propagated, and these ``first spike patterns'' can be readout by downstream neurons with homogeneous weights and no desensitization: as a result, the exact order between the first spikes does not matter. This paper also introduces a third option - ""Ranked-NoM"" (R-NoM), which combines features from both ROC and NoM coding schemes: only the first N input spikes are propagated, but their order is readout by downstream neurons thanks to inhomogeneous weights and linear desensitization. The unifying mathematical framework allows the three codes to be compared in terms of discriminability, which measures to what extent a neuron responds more strongly to its preferred input spike pattern than to random patterns. This discriminability turns out to be much higher for RNoM than for the other codes, especially in the early phase of the responses. We also argue that RNoM is much more hardware-friendly than the original ROC proposal, although NoM remains the easiest to implement in hardware because it only requires binary synapses. Resumen: Las redes neuronales de picos o potenciales de acciôn (SNN) que utilizan códigos de tiempo hasta el primer pico (TTFS), en los que las neuronas se disparan una vez como máximo, son atractivas para un procesamiento rápido y de baja potencia. En este artículo teórico, nos enfocamos en la codificación y decodificación de información en esas redes, e introducimos un nuevo marco matemático unificador que permite la comparación de varios esquemas de codificación. En una propuesta inicial, llamada codificación por orden de rango (ROC), las neuronas se activan al máximo cuando las entradas llegan en el orden de sus pesos sinápticos, gracias a un mecanismo de inhibición de derivación que insensibiliza progresivamente las neuronas a medida que llegan los picos. En otra propuesta, denominada codificación NoM, solo se propagan los primeros N picos de las M neuronas de entrada, y estos ""primeros patrones de picos"" pueden ser leídos por las ""downstream neurons"" con pesos homogéneos y sin desensibilización: como resultado, el orden exacto entre los primeros picos no importa. Este documento también presenta una tercera opción: ""Ranked-NoM"" (R-NoM), que combina características de los esquemas de codificación ROC y NoM: solo se propagan los primeros picos de entrada N, pero las neuronas posteriores leen su orden gracias a pesos no homogéneos y desensibilización lineal. El marco matemático unificador permite comparar los tres códigos en términos de discriminabilidad, que mide en qué medida una neurona responde con más fuerza a su patrón de picos de entrada preferido que a patrones aleatorios. Esta discriminabilidad resulta ser mucho mayor para R-NoM que para los otros códigos, especialmente en la fase temprana de las respuestas. También argumentamos que R-NoM es mucho más compatible con el hardware que la propuesta ROC original, aunque NoM sigue siendo el más fácil de implementar en hardware porque solo requiere sinapsis binarias.

Resumen: PREGUNTA DE ESTUDIO: ¿Cuáles son las opiniones de las mujeres sobre tener hijos, incluida la edad a la que quieren tenerlos y otras influencias como como la pandemia de la enfermedad por coronavirus 2019 (COVID-19)? RESPUESTA RESUMIDA: Las opiniones de las mujeres sobre tener hijos, a su edad preferida de 30 años, incluían su impulso maternal y sus preocupaciones. sobre su reloj biológico y estabilidad, mientras que el 19% dijo que COVID-19 había afectado sus puntos de vista. DISEÑO DEL ESTUDIO, TAMAÑO, DURACIÓN: Realizamos una encuesta anónima en línea de preguntas abiertas y de opción múltiple. los La encuesta estuvo activa durante 32 días, desde el 15 de mayo de 2020 hasta el 16 de junio de 2020, y se promocionó a través de las redes sociales. PARTICIPANTES/MATERIALES, ESCENARIO, MÉTODOS: Un total de 887 mujeres de 44 países participaron en la encuesta. Después de filtrar de las mujeres que no dieron su consentimiento, dieron respuestas en blanco o incompletas, y aquellas que no estaban en el Reino Unido, quedaron 411 respuestas. Desde los datos, se analizaron tres áreas de cuestionamiento: sus opiniones sobre tener hijos, la edad ideal a la que quieren tener hijos y los efectos de la pandemia de COVID-19. Los datos cualitativos fueron analizados por análisis temático. PRINCIPALES RESULTADOS Y EL PAPEL DEL AZAR: La edad media (§SD) de las mujeres que completaron la encuesta fue de 32,2 años. (§5.9), siendo mayoritariamente heterosexuales (90,8%) y 84,8% con estudios universitarios. Un tercio de las mujeres estaban casadas/en matrimonio pareja (37,7%) y 36,0% convivían. En relación a sus visiones sobre tener hijos, los principales temas identificados fueron: la urgencia, el tictac del reloj biológico, ¿por qué nadie nos enseñó esto?, la necesidad de estabilidad y equilibrio en su vida, presión para comenzar una familia y considerando otras maneras de tener una familia. Ante la pregunta 'En un mundo ideal, ¿a qué edad aproximadamente te gustaría tener tuvo o tiene hijos?’ se observó una distribución normal con una edad media de 29,9 (§3.3) años. Cuando se le preguntó ""¿Qué factores le han llevado decidir sobre esa edad en particular?’, la elección más frecuente fue ‘Estoy desarrollando mi carrera’. Tres temas surgieron de la cualitativa pregunta sobre por qué eligieron esa edad: la necesidad de estabilidad y equilibrio en su vida, la importancia de encontrar el momento adecuado y las experiencias de vida. La mayoría de las mujeres sintieron que la pandemia de COVID-19 no había afectado su decisión de tener hijos (72,3%), pero el 19,1% dijo tenía. Los comentarios cualitativos mostraron que tenían preocupaciones sobre la inestabilidad en su vida, como finanzas y carreras, y retrasos en la fertilidad. Tratamiento.

Abstract: Functional Electrical Stimulation (FES) and robotic gait orthoses are rehabilitation technologies that help patients who have lost their normal gait function due to conditions such as spinal cord injury or stroke. FES promotes active muscle contractions that facilitate the rehabilitation process, while the Lokomat (an automated gait orthosis developed by Hocoma in collaboration with Balgrist University Hospital) provides passive limb movements that help to restore and increase mobility. The goal of this project was to combine both technologies in order to improve the beneficial effects that they provide individually. For that purpose, a control algorithm was developed for real-time Linux using an Iterative Learning Control approach in parallel with feedback control. The system was implemented on the ankle and knee joints. The ankle was controlled using a desired angle based on medical literature, while the knee was controlled using a reference force trajectory measured on subjects inside the Lokomat under high-effort conditions. As an alternative to force control on the knee, angle control was implemented for experiments in the lab. The controllers were tested on healthy subjects with and without the inclusion of voluntary movement. Based on these tests, we show the advantages and disadvantages of the control scheme and the physical setup, and give ideas for further improvement. Resumen: La estimulación eléctrica funcional (FES) y las ortesis de marcha robótica son tecnologías de rehabilitación que ayudan a los pacientes que han perdido su función de marcha normal debido a afecciones como una lesión de la médula espinal o un accidente cerebrovascular. FES promueve contracciones musculares activas que facilitan el proceso de rehabilitación, mientras que Lokomat (una órtesis de marcha automatizada desarrollada por Hocoma en colaboración con el Hospital Universitario Balgrist) proporciona movimientos pasivos de las extremidades que ayudan a restaurar y aumentar la movilidad. El objetivo de este proyecto fue combinar ambas tecnologías para mejorar los efectos beneficiosos que proporcionan individualmente. Para ello, se desarrolló un algoritmo de control para Linux en tiempo real utilizando un enfoque de control por aprendizaje iterativo en paralelo con el control de retroalimentación. El sistema se implementó en las articulaciones del tobillo y la rodilla. El tobillo se controló usando un ángulo deseado basado en la literatura médica, mientras que la rodilla se controló usando una trayectoria de fuerza de referencia medida en sujetos dentro del Lokomat bajo condiciones de alto esfuerzo. Como alternativa al control de fuerza en la rodilla, se implementó el control de ángulo para experimentos en el laboratorio. Los controladores se probaron en sujetos sanos con y sin la inclusión de movimiento voluntario. Con base en estas pruebas, mostramos las ventajas y desventajas del esquema de control y la configuración física, y brindamos ideas para mejoras adicionales.

Abstract: Objective: To investigate opportunities for task shifting to decongest an outpatient neurology clinic in Zambia by describing current patient flow through the clinic and potential nodes for intervention using process mapping. Background: Zambia has a population of approximately 18 million people with 4 full-time adult neurologists, as of 2018, who all practice at the University Teaching Hospital (UTH), the main tertiary care center in the country. As a result of this provider-to-patient ratio, the outpatient neurology clinic is overcrowded and overbooked. Task-shifting programs have shown to improve efficiency, access and quality of care through the use of less specialized healthcare workers in low- and middle-income countries (LMIC). Methods: We evaluated patient flow in the UTH neurology outpatient clinic through the development and analysis of a process map. The characteristics of the clinic population between 2014 and 2018 were retrospectively reviewed from the clinic register. Between July and August 2018, we prospectively collected appointment lag times and time each patient spent waiting at various points in the clinic process. We conducted interviews with clinic staff and neurologists to generate a detailed process map of current pathways to care within the clinic. We then devised task- shifting strategies to help reduce patient wait times based on the overview of clinic process mapping and patient demographics. Results: From 2014 to 2018, there were 4701 outpatients seen in the neurology clinic. The most common neurologi- cal diagnoses were epilepsy (39.2%), headache (21.5%) and cerebrovascular disease (16.7%). During prospective data collection, patients waited an average of 57.8 (SD 73.4) days to be seen by a neurologist. The average wait time from arrival in the clinic to departure was 4.0 (SD 2.5) h. The process map and interviews with clinic staff revealed long waiting times due to a paucity of providers. Nurses and clerks represent an influential stakeholder group, but are not actively involved in any activity to reduce wait times. A large proportion of follow-up patients were stable and seen solely to obtain medication refills. Conclusions: Epilepsy, headache, and stroke make up the largest percentage of outpatient neurological illness in Zambia. Targeting stable patients in these diagnostic categories for a task-shifting intervention may lead to substan- tially decreased patient wait times. Potential interventions include shifting clinical follow-ups and medication refills to less specialized healthcare workers.

Abstract: Objective: To investigate opportunities for task shifting to decongest an outpatient neurology clinic in Zambia by describing current patient flow through the clinic and potential nodes for intervention using process mapping. Background: Zambia has a population of approximately 18 million people with 4 full-time adult neurologists, as of 2018, who all practice at the University Teaching Hospital (UTH), the main tertiary care center in the country. As a result of this provider-to-patient ratio, the outpatient neurology clinic is overcrowded and overbooked. Task-shifting programs have shown to improve efficiency, access and quality of care through the use of less specialized healthcare workers in low- and middle-income countries (LMIC). Methods: We evaluated patient flow in the UTH neurology outpatient clinic through the development and analysis of a process map. The characteristics of the clinic population between 2014 and 2018 were retrospectively reviewed from the clinic register. Between July and August 2018, we prospectively collected appointment lag times and time each patient spent waiting at various points in the clinic process. We conducted interviews with clinic staff and neurologists to generate a detailed process map of current pathways to care within the clinic. We then devised task- shifting strategies to help reduce patient wait times based on the overview of clinic process mapping and patient demographics. Results: From 2014 to 2018, there were 4701 outpatients seen in the neurology clinic. The most common neurologi- cal diagnoses were epilepsy (39.2%), headache (21.5%) and cerebrovascular disease (16.7%). During prospective data collection, patients waited an average of 57.8 (SD 73.4) days to be seen by a neurologist. The average wait time from arrival in the clinic to departure was 4.0 (SD 2.5) h. The process map and interviews with clinic staff revealed long waiting times due to a paucity of providers. Nurses and clerks represent an influential stakeholder group, but are not actively involved in any activity to reduce wait times. A large proportion of follow-up patients were stable and seen solely to obtain medication refills. Conclusions: Epilepsy, headache, and stroke make up the largest percentage of outpatient neurological illness in Zambia. Targeting stable patients in these diagnostic categories for a task-shifting intervention may lead to substan- tially decreased patient wait times. Potential interventions include shifting clinical follow-ups and medication refills to less specialized healthcare workers.