Sleep, Anxiety, Somatization, Quality of Life, and Resilience in Pediatric Patients With Eosinophilic Esophagitis.

INTRODUCTION: Emerging evidence suggests a high burden of psychosocial comorbidities in patients with eosinophilic esophagitis (EoE), although factors associated with this burden have not been explored. We aimed to increase understanding of the psychosocial burden of EoE and assess factors that are associated with disease burden. METHODS: We conducted a cross-sectional study of patients with EoE (n = 87) recruited from a single-center, multidisciplinary pediatric eosinophilic gastrointestinal disorders clinic (2019-2021). Participants (aged 8-18 years) completed validated assessments during routine clinic visit to assess EoE symptoms (Pediatric Eosinophilic Esophagitis Symptom Score version 2.0), quality of life (Pediatric Quality of LIfe- Eosinophilic Esophagitis), anxiety state and trait (State-Trait Anxiety Score for Children), somatization (Child Somatic Symptoms Inventory 24), sleep disordered breathing (Pediatric Sleep Questionnaire) and, in a subset (n = 35), resilience (Connor Davidson Resilience Scale). Clinical and demographic data were collected. RESULTS: Participants were at a mean (SD) age of 12.8 (3.1) years, and 26% (n = 23) were female. Shorter disease duration (6-12 months) was associated with higher symptom burden ( P = 0.03), somatization ( P < 0.01), and anxiety (State-Trait Anxiety Score for Children Trait P < 0.01) scores. Participants with neurodevelopmental comorbidities had higher anxiety trait, somatization, sleep disordered breathing, and lower quality of life ( P < 0.01 for all). Symptom burden was significantly associated with increased somatic symptoms (adjusted ß [aß] = 0.34; 95% confidence interval 0.23-0.45) and decreased quality of life (aß = -0.42; 95% confidence interval -0.59 to -0.25) but not state anxiety, trait anxiety, or disordered sleep breathing. DISCUSSION: Pediatric patients with a recent diagnosis of EoE can experience higher EoE symptoms, somatization, and anxiety when compared with those with a longer-standing diagnosis. Patients earlier in their diagnosis and with neurodevelopmental disorders may experience increased somatization and anxiety that may warrant additional support services.

Real-Time Person Detection in Wooded Areas Using Thermal Images from an Aerial Perspective.

Detecting people in images and videos captured from an aerial platform in wooded areas for search and rescue operations is a current problem. Detection is difficult due to the relatively small dimensions of the person captured by the sensor in relation to the environment. The environment can generate occlusion, complicating the timely detection of people. There are currently numerous RGB image datasets available that are used for person detection tasks in urban and wooded areas and consider the general characteristics of a person, like size, shape, and height, without considering the occlusion of the object of interest. The present research work focuses on developing a thermal image dataset, which considers the occlusion situation to develop CNN convolutional deep learning models to perform detection tasks in real-time from an aerial perspective using altitude control in a quadcopter prototype. Extended models are proposed considering the occlusion of the person, in conjunction with a thermal sensor, which allows for highlighting the desired characteristics of the occluded person.

Episodic Past, Future, and counterfactual thinking in Relapsing-Remitting Multiple sclerosis.

Multiple sclerosis (MS) is a progressive disease characterized by widespread white matter lesions in the brain and spinal cord. In addition to well-characterized motor deficits, MS results in cognitive impairments in several domains, notably in episodic autobiographical memory. Recent studies have also revealed that patients with MS exhibit deficits in episodic future thinking, i.e., our capacity to imagine possible events that may occur in our personal future. Both episodic memory and episodic future thinking have been shown to share cognitive and neural mechanisms with a related kind of hypothetical simulation known as episodic counterfactual thinking: our capacity to imagine alternative ways in which past personal events could have occurred but did not. However, the extent to which episodic counterfactual thinking is affected in MS is still unknown. The current study sought to explore this issue by comparing performance in mental simulation tasks involving either past, future or counterfactual thoughts in relapsing-remitting MS. Diffusion weighted imaging (DWI) measures were also extracted to determine whether changes in structural pathways connecting the brain's default mode network (DMN) would be associated with group differences in task performance. Relative to controls, patients showed marked reductions in the number of internal details across all mental simulations, but no differences in the number of external and semantic-based details. It was also found that, relative to controls, patients with relapsing-remitting MS reported reduced composition ratings for episodic simulations depicting counterfactual events, but not so for actual past or possible future episodes. Additionally, three DWI measures of white matter integrity-fractional anisotropy, radial diffusivity and streamline counts-showed reliable differences between patients with relapsing-remitting MS and matched healthy controls. Importantly, DWI measures associated with reduced white matter integrity in three association tracts on the DMN-the right superior longitudinal fasciculus, the left hippocampal portion of the cingulum and the left inferior longitudinal fasciculus-predicted reductions in the number of internal details during episodic counterfactual simulations. Taken together, these results help to illuminate impairments in episodic simulation in relapsing-remitting MS and show, for the first time, a differential association between white matter integrity and deficits in episodic counterfactual thinking in individuals with relapsing-remitting MS.

Real-life evidence of treatment with alemtuzumab in patients diagnosed with relapsing-remitting multiple sclerosis in Colombia.

BACKGROUND: Physical disability, cognitive impairment, depression, and fatigue are poorly understood in Latin American patients with multiple sclerosis following alemtuzumab infusion. OBJECTIVES: To describe Sustained changes in physical disability in an average 22-month follow-up period after alemtuzumab infusion, and which demographical or clinical variables modulate change in EDSS, and adverse events, changes in cognition, fatigue, and depressive symptoms after an average 15-month follow-up period. METHOD: Retrospective cohort observational study. Following the review of medical records, 23 patients with Relapsing Remitting Multiple Sclerosis treated with alemtuzumab were identified; of these, 17 had a baseline neuropsychological assessment and 12 had at least one follow-up neuropsychological assessment. RESULTS: Most of the patients presented a low level of physical disability, depression, fatigue, and cognitive impairment, which was more pronounced in the processing speed and visuospatial memory at baseline. Fifteen of 23 (65.2%) of patients showed disability improvement, 7 (30.1%) patients remained stable, and 1 (4.3%) patient worsened, and change was not influenced by age or baseline disability score. Twenty (87%) patients remained free of clinical relapses. Performance improved on the BVMT-R visual memory test, 9 (75%) remained stable or improved on the BICAMS, and 66.6% perceived decreased fatigue on the d-FIS. Adverse events occurred in 7 (30.1%) of patients, the most common were opportunistic infections in 2 (8.6%) patients, and one 29-year-old patient presented papillary thyroid carcinoma after infusion of the second course of alemtuzumab. CONCLUSIONS: Results suggest that treatment with alemtuzumab has a beneficial impact on disability, cognitive impairment, and perception of fatigue. The percentage and type of adverse events observed in the cohort are similar to those reported for other real-life studies.

Nefrectomia en la edad pediátrica con técnica de cirugia minimamente invasiva: abordaje retroperitoneal como estándar de oro para el paciente sin o con enfermedad renal crónica (premio dr. efrain vargas año 2014) / Nephrectomy in pediatric age with minimally invasive surgery technique: retroperitoneal approach as a gold standard for patients without or with chronic kidney disease (Dr. Efrain Vargas Award 2014)

Existen múltiples patologías del tracto urinario, ya sea congénitas o adquiridas, que requieren de tratamiento quirúrgico de Nefrectomía total o parcial. En el siguiente estudio longitudinal prospectivo se incluyen 21 nefroureterectomías en pacientes pediátricos con patología del tracto urinario con o sin enfermedad renal crónica y algún tipo de terapia de reemplazo renal, realizados con la técnica de Cirugía Minimamente Invasiva (CMI) abordaje retroperitoneal o retroperitoneoscopía. (AU)

There are several urinary tract diseases, such as congenital or adquired, that require total or partial nephrectomy. This prospective longitudinal study included 21 total nephrectomies in pediatric patients with or without end stage renal disease and some kind of renal replacement therapy. All surgeries were done with retroperitoneal approach using minimally invasive surgery (MIS), retroperitoneoscopy. (AU)

Validation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) in a Colombian Population.

BACKGROUND: Cognitive impairment has been recognized as an important factor in multiple sclerosis (MS) in the past few years. One brief, reliable and valid tool to assess cognition in MS is the BICAMS, which encompasses the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test (CVLT II), and the Brief Visuospatial Memory Test - Revised (BVMT-R). Continuing with the international initiative to validate the BICAMS in different countries, here we present the results obtained from the efforts in validating such test in the Colombian population. METHOD: 100 healthy controls and 50 MS patients participated in the study, group matched for age, education and gender. Subjects completed all three tests of the BICAMS. Instead of the CVLT-II, the Colombian validated form PAMCL (Prueba de Aprendizaje y Memoria con Codificación Libre) was used. Test-retest measures were obtained for 16 patients in order to test for reliability. RESULTS: Evidence of criterion validity was obtained, MS group performing significantly worse than HC group in all three tests (SDMT: p= .001, d= 0.59; PAMCL: p= .03, d= 0.38; BVMT-R: p<.001, d= 0.58). Test-retest was also obtained, finding significant correlations for all three tests (SDMT: r=0.932, p<.00; BVMT-R: r=0.863, p<.001; PAMCL: r=0.889, p<.001). Standardization of raw scores to uncontrolled scaled scores was done and these scores were then adjusted for age and years of schooling using a multiple linear regression. CONCLUSIONS: The BICAMS proved to be a valid and sensitive tool to screen for cognitive impairment in MS patients.

Multimodal Multiplexed Immunoimaging with Nanostars to Detect Multiple Immunomarkers and Monitor Response to Immunotherapies.

The overexpression of immunomarker programmed cell death protein 1 (PD-1) and engagement of PD-1 to its ligand, PD-L1, are involved in the functional impairment of cluster of differentiation 8+ (CD8+) T cells, contributing to cancer progression. However, heterogeneities in PD-L1 expression and variabilities in biopsy-based assays render current approaches inaccurate in predicting PD-L1 status. Therefore, PD-L1 screening alone is not predictive of patient response to treatment, which motivates us to simultaneously detect multiple immunomarkers engaged in immune modulation. Here, we have developed multimodal probes, immunoactive gold nanostars (IGNs), that accurately detect PD-L1+ tumor cells and CD8+ T cells simultaneously in vivo, surpassing the limitations of current immunoimaging techniques. IGNs integrate the whole-body imaging of positron emission tomography with high sensitivity and multiplexing of Raman spectroscopy, enabling the dynamic tracking of both immunomarkers. IGNs also monitor response to immunotherapies in mice treated with combinatorial PD-L1 and CD137 agonists and distinguish responders from those nonresponsive to treatment. Our results showed a multifunctional nanoscale probe with capabilities that cannot be achieved with either modality alone, allowing multiplexed immunologic tumor profiling critical for predicting early response to immunotherapies.

Raman microspectroscopy differentiates perinatal pathogens on ex vivo infected human fetal membrane tissues.

Streptococcus agalactiae, also known as Group B Streptococcus (GBS), is a major cause of chorioamnionitis and neonatal sepsis. This study evaluates Raman spectroscopy (RS) to identify spectral characteristics of infection and differentiate GBS from Escherichia coli and Staphylococcus aureus during ex vivo infection of human fetal membrane tissues. Unique spectral features were identified from colonies grown on agar and infected fetal membrane tissues. Multinomial logistic regression analysis accurately identified GBS infected tissues with 100.0% sensitivity and 88.9% specificity. Together, these findings support further investigation into the use of RS as an emerging microbiologic diagnostic tool and intrapartum screening test for GBS carriage.

Classification of burn injury using Raman spectroscopy and optical coherence tomography: An ex-vivo study on porcine skin.

Accurate depth assessment of burn wounds is a critical task to provide the right treatment and care. Currently, laser Doppler imaging is able to provide better accuracy compared to the standard clinical evaluation. However, its clinical applicability is limited by factors like scanning distance, time, and cost. Precise diagnosis of burns requires adequate structural and functional details. In this work, we evaluated the combined potential of two non-invasive optical modalities, optical coherence tomography (OCT) and Raman spectroscopy (RS), to identify degrees of burn wounds (superficial partial-thickness (SPT), deep partial-thickness (DPT), and full-thickness (FT)). OCT provides morphological information, whereas, RS provides biochemical aspects. OCT images and Raman spectra were obtained from burns created on ex-vivo porcine skin. Algorithms were developed to segment skin region and extract textural features from OCT images, and derive spectral wave features from RS. These computed features were fed into machine learning classifiers for categorization of burns. Histological results obtained from trichrome staining were used as ground-truth. The combined performance of RS-OCT reported an overall average accuracy of 85% and ROC-AUC=0.94, in distinguishing the burn wounds. The significant performance on ex vivo skin motivates to assess the feasibility of combined RS-OCT in in vivo models.

Drug-Resistant Staphylococcus aureus Strains Reveal Distinct Biochemical Features with Raman Microspectroscopy.

Staphylococcus aureus ( S. aureus) is a leading cause of hospital-acquired infections, such as bacteremia, pneumonia, and endocarditis. Treatment of these infections can be challenging since strains of S. aureus, such as methicillin-resistant S. aureus (MRSA), have evolved resistance to antimicrobials. Current methods to identify infectious agents in hospital environments often rely on time-consuming, multistep culturing techniques to distinguish problematic strains (i.e., antimicrobial resistant variants) of a particular bacterial species. Therefore, a need exists for a rapid, label-free technique to identify drug-resistant bacterial strains to guide proper antibiotic treatment. Here, our findings demonstrate the ability to characterize and identify microbes at the subspecies level using Raman microspectroscopy, which probes the vibrational modes of molecules to provide a biochemical "fingerprint". This technique can distinguish between different isolates of species such as Streptococcus agalactiae and S. aureus. To determine the ability of this analytical approach to detect drug-resistant bacteria, isogenic variants of S. aureus including the comparison of strains lacking or expressing antibiotic resistance determinants were evaluated. Spectral variations observed may be associated with biochemical components such as amino acids, carotenoids, and lipids. Mutants lacking carotenoid production were distinguished from wild-type S. aureus and other strain variants. Furthermore, spectral biomarkers of S. aureus isogenic bacterial strains were identified. These results demonstrate the feasibility of Raman microspectroscopy for distinguishing between various genetically distinct forms of a single bacterial species in situ. This is important for detecting antibiotic-resistant strains of bacteria and indicates the potential for future identification of other multidrug resistant pathogens with this technique.

Applying Full Spectrum Analysis to a Raman Spectroscopic Assessment of Fracture Toughness of Human Cortical Bone.

A decline in the inherent quality of bone tissue is a † Equal contributors contributor to the age-related increase in fracture risk. Although this is well-known, the important biochemical factors of bone quality have yet to be identified using Raman spectroscopy (RS), a nondestructive, inelastic light-scattering technique. To identify potential RS predictors of fracture risk, we applied principal component analysis (PCA) to 558 Raman spectra (370-1720 cm-1) of human cortical bone acquired from 62 female and male donors (nine spectra each) spanning adulthood (age range = 21-101 years). Spectra were analyzed prior to R-curve, nonlinear fracture mechanics that delineate crack initiation (Kinit) from crack growth toughness (Kgrow). The traditional ν1phosphate peak per amide I peak (mineral-to-matrix ratio) weakly correlated with Kinit (r = 0.341, p = 0.0067) and overall crack growth toughness (J-int: r = 0.331, p = 0.0086). Sub-peak ratios of the amide I band that are related to the secondary structure of type 1 collagen did not correlate with the fracture toughness properties. In the full spectrum analysis, one principal component (PC5) correlated with all of the mechanical properties (Kinit: r = - 0.467, Kgrow: r = - 0.375, and J-int: r = - 0.428; p < 0.0067). More importantly, when known predictors of fracture toughness, namely age and/or volumetric bone mineral density (vBMD), were included in general linear models as covariates, several PCs helped explain 45.0% (PC5) to 48.5% (PC7), 31.4% (PC6), and 25.8% (PC7) of the variance in Kinit, Kgrow, and J-int, respectively. Deriving spectral features from full spectrum analysis may improve the ability of RS, a clinically viable technology, to assess fracture risk.

Diseño curricular de la asignatura de Radiologia o diagnóstico por imégenes en la carrera de medicina de la U.T.O / Curriculum design of the subjet of radiologia or diagnosis by imagenes in the career of medicine of the U.T.O

El presente proyecto de intervención plantea un nuevo diseño del programa de la asignatura de Radiologia o diagn´stico por imágenes dirigida a estudiantes de medicina de pregrado de la carrera de medicina de la U.T.O. creada recientemente (noviembre 1998), la cual no posee programas de enseñanza propios de cada asignatura. La elaboración de este diseño buscan un programa pertinente, acorde al nuevo perfil del egresado, basado en las necesidades reales actuales, tomando en cuenta programas de la asignatura de otras facultades de medicna, así como la investigación a través de encuestas dirigidas a profesionales médicos, con el objeto de evaluar las necesidades y falencias de los conocimientos obtenidos durante el pregrado...

Análisis prospectivo y las instituciones formadoras de recursos humanos en salud / Prospective analysis and the institutional health manpower instruction

Si entendemos la planificación desde un enfoque administrativo, implica la toma de decisiones en relacion con la apropiación y asignación de recursos y la distribución de los productos con un criterio de uso eficiente de recursos. Toda acción planificadora tiene una intención que puede ser reproductora, de crecimiento o de cambio de situación. En el área de la salud, la planificación en América Latina bajo el enfoque economicista de la planificación para el desarrollo, mejor conocida como planificación normativa, no ha dado los efectos esperados. Actualmente el procedimiento que se impone es el pensamiento estratégico, el cual involucra intereses de grupos en pugna y con planes propios. esta noción entiende la planificación como la lucha por el poder. El análisis prospectivo es una metodología de orientación estratégica al servicio de la planificación para el cambio social