Impact of chlorpyrifos exposure on lung function in Egyptian adolescent agriculture workers.

Chlorpyrifos (CPF) is a widely used organophosphate insecticide that has been linked to detrimental health effects that range from neurological impacts to respiratory disease. The objective of this study was to assess respiratory symptoms associated with CPF exposure throughout the application season. Urine samples were collected from Egyptian adolescent applicators (n = 206) and non-applicators (n = 72) to assess 3,5,6-trichloro-2-pyridinol (TCPy), a biomarker for CPF exposure, along with spirometry measures to determine lung ventilatory function. Samples were collected over 7 months in 2016. Logistic regression was used to model the odds of reporting wheeze symptoms based on urinary TCPy concentrations while controlling for age and smoking in the household. Ordinal multinomial logistic regression was used to model the percent reference for forced expiratory volume in one second (rFEV1) based on urinary TCPy concentration (µg/g creatinine). Wheezing increased with increasing pesticide exposure (OR = 1.74 (1.32 - 2.31)). There was no statistically significant relationship between rFEV1 and TCPy concentration. Efforts to reduce pesticide exposure should be implemented to prevent the potential onset or exacerbation of any linked respiratory complications in adolescents.

Multidimensional Spectral Phasors of LAURDAN's Excitation-Emission Matrices: The Ultimate Sensor for Lipid Phases?

The impact of lipid diversity on the lateral organization of biological membranes remains a topic of debate. While the existence of domains in lamellar membranes is well-established, the nonlamellar phases occurring in biological systems are less explored due to technical constraints. Here, we present the measurement of the excitation-emission matrices (EEM) of LAURDAN in several lipid structures. LAURDAN is a fluorescence probe widely used for characterizing lipid assemblies. The EEMs were analyzed by multidimensional spectral phasors (MdSP), an approach that seizes information from both the excitation and emission spectra. We developed a computer algorithm to construct EEM data based on a model for LAURDAN's photophysics. The MdSP calculated from the simulated EEMs reveals that all feasible possibilities lie inside a universal triangle in the phasor's plot. We use this triangle to propose a ternary representation for the phasors, allowing a better assessment of LAURDAN's surroundings in terms of hydration, water mobility, and local electronic environment. Building upon this foundation, we constructed a theoretical "phase map" that can assess both lamellar and nonlamellar membranes. We thoroughly validated this theory using well-known lipid mixtures under different phase-state conditions and enzymatically generated systems. Our results confirm that the use of MdSP is a powerful tool for obtaining quantitative information on both lamellar and nonlamellar structures. This study not only advances our understanding of the impact of lipid diversity on membrane organization but also provides a robust and general framework for the assessment of fluorescence properties that can be further extended to other probes.

Evidence for cryptic molting behavior in the trilobite Toxochasmops vormsiensis from the Upper Ordovician Katian Kõrgessaare Formation, Estonia.

Documentation of cryptic trilobite behavior has presented important insights into the paleoecology of this fully extinct arthropod group. One such example is the preservation of trilobites inside the remains of larger animals. To date, evidence for trilobites within cephalopods, gastropods, hyoliths, and other trilobites has been presented. Importantly, most of these interactions show trilobite molts, suggesting that trilobites used larger animals for protection during molting. To expand the record of molted trilobites within cephalopods, we present a unique case of a Toxochasmops vormsiensis trilobite within the body chamber of a Gorbyoceras textumaraneum nautiloid from the Upper Ordovician Kõrgessaare Formation of Estonia. By examining this material, we present new insights into the ecology of pterygometopid trilobites, highlighting how these forms used large cephalopods as areas to successfully molt.

Zirconium Carbide for Hypersonic Applications, Opportunities and Challenges.

At ultra-high temperatures, resilient, durable, stable material choices are limited. While Carbon/Carbon (C/C) composites (carbon fibers and carbon matrix phases) are currently the materials of choice, zirconium carbide (ZrC) provides an option in hypersonic environments and specifically in wing leading edge (WLE) applications. ZrC also offers an ultra-high melting point (3825 K), robust mechanical properties, better thermal conductivity, and potentially better chemical stability and oxidation resistance than C/C composites. In this review, we discuss the mechanisms behind ZrC mechanical, thermal, and chemical properties and evaluate: (a) mechanical properties: flexure strength, fracture toughness, and elastic modulus; (b) thermal properties: coefficient of thermal expansion (CTE), thermal conductivity, and melting temperature; (c) chemical properties: thermodynamic stability and reaction kinetics of oxidation. For WLE applications, ZrC physical properties require further improvements. We note that materials or processing solutions to increase its relative density through sintering aids can have deleterious effects on oxidation resistance. Therefore, improvements of key ZrC properties for WLE applications must not compromise other functional properties. We suggest that C/C-ZrC composites offer an engineering solution to reduce density (weight) for aerospace applications, improve fracture toughness and the mechanical response, while addressing chemical stability and stoichiometric concerns. Recommendations for future work are also given.

Emergent Magnonic Materials: Challenges and Opportunities.

Advances in information technology are hindered by energy dissipation from Joule losses associated with charge transport. In contrast, the process of information based on spin waves propagation (magnons) in magnetic materials is dissipationless. Low damping of spin wave excitations is essential to control the propagation length of magnons. Ferrimagnetic Y3Fe5O12 garnets (YIG) exhibit the lowest magnetic damping constants. However, to attain the lowest damping constant, epitaxial growth of YIG on single crystal substrates of Gd3Ga5O12 at elevated temperatures is required, which hinders their CMOS integration in electronic devices. Furthermore, their low saturation magnetization and magnetocrystalline anisotropy are challenging for nanoscale device applications. In the search for alternative material systems, polycrystalline ferromagnetic Co25Fe75 alloy films and ferrimagnetic spinel ferrites, such as MgAl0.5Fe1.5O4 (MAFO), have emerged as potential candidates. Their damping constants are comparable, although they are at least one order of magnitude higher than YIG's. However, Co25Fe75 alloy thin film growth is CMOS compatible, and its magnon diffusion length is 20× longer than in MAFO. In addition, MAFO requires epitaxial growth on lattice-matched MgAl2O4 substrates. We discuss the material properties that control the Gilbert damping constant in CoxFe1-x alloys and MAFO and conclude that CoxFe1-x alloy thin films bring us closer to the realization of the exploitation of spin waves for magnonics.

Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective.

Recent progress in optoelectronics has made wearable and high-density functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies possible for the first time. These technologies have the potential to open new fields of real-world neuroscience by enabling functional neuroimaging of the human cortex at a resolution comparable to fMRI in almost any environment and population. In this perspective article, we provide a brief overview of the history and the current status of wearable high-density fNIRS and DOT approaches, discuss the greatest ongoing challenges, and provide our thoughts on the future of this remarkable technology.

Hybrid Nanoparticles of Citrate-Coated Manganese Ferrite and Gold Nanorods in Magneto-Optical Imaging and Thermal Therapy.

The development of nanomaterials has drawn considerable attention in nanomedicine to advance cancer diagnosis and treatment over the last decades. Gold nanorods (GNRs) and magnetic nanoparticles (MNPs) have been known as commonly used nanostructures in biomedical applications due to their attractive optical properties and superparamagnetic (SP) behaviors, respectively. In this study, we proposed a simple combination of plasmonic and SP properties into hybrid NPs of citrate-coated manganese ferrite (Ci-MnFe2O4) and cetyltrimethylammonium bromide-coated GNRs (CTAB-GNRs). In this regard, two different samples were prepared: the first was composed of Ci-MnFe2O4 (0.4 wt%), and the second contained hybrid NPs of Ci-MnFe2O4 (0.4 wt%) and CTAB-GNRs (0.04 wt%). Characterization measurements such as UV-Visible spectroscopy and transmission electron microscopy (TEM) revealed electrostatic interactions caused by the opposing surface charges of hybrid NPs, which resulted in the formation of small nanoclusters. The performance of the two samples was investigated using magneto-motive ultrasound imaging (MMUS). The sample containing Ci-MnFe2O4_CTAB-GNRs demonstrated a displacement nearly two-fold greater than just using Ci-MnFe2O4; therefore, enhancing MMUS image contrast. Furthermore, the preliminary potential of these hybrid NPs was also examined in magnetic hyperthermia (MH) and photoacoustic imaging (PAI) modalities. Lastly, these hybrid NPs demonstrated high stability and an absence of aggregation in water and phosphate buffer solution (PBS) medium. Thus, Ci-MnFe2O4_CTAB-GNRs hybrid NPs can be considered as a potential contrast agent in MMUS and PAI and a heat generator in MH.

Modularity in the trilobite head consistent with the hypothesized segmental origin of the eyes.

The trilobite head served multiple functions and was composed of several fused segments. Yet, the underlying organization of the trilobite head, and whether patterns are conserved across trilobites, remains unclear. Modeling the head as being composed of modules, or subunits that vary and thus have the potential to evolve semi-independently can reveal underlying patterns of organization. Hypotheses of modular organization based on the comparative developmental biology of arthropods were evaluated using geometric morphometrics. Two-dimensional (semi)landmark datasets collected from the cranidia of two Ordovician trilobite species, Calyptaulax annulata (Phacopida) and Cloacaspis senilis (Olenida sensu Adrain, 2011) were analyzed. The degree and pattern of modularity were assessed using the covariance ratio (CR), which compares the covariation within putative modules to the covariation between them, and the fit of different models was compared using an effect size measure derived from the CR. When treating the eyes as a distinct module, the best modular hypothesis identified for C. annulata shows the eyes and anteriormost region of the head integrated as a single module. The best modular hypotheses for C. senilis are more complex but the eyes still covary mostly strongly with the anterior part of the head. The latter is also the case for all other well-supported models for both species. These results can be interpreted as a developmental signal corresponding to the anteriormost ocular segment of early arthropods that is retained throughout development, despite any likely selective pressures related to functional needs.

Smart Bone Graft Composite for Cancer Therapy Using Magnetic Hyperthermia.

Magnetic hyperthermia (MHT) is a therapy that uses the heat generated by a magnetic material for cancer treatment. Magnetite nanoparticles are the most used materials in MHT. However, magnetite has a high Curie temperature (Tc~580 °C), and its use may generate local superheating. To overcome this problem, strontium-doped lanthanum manganite could replace magnetite because it shows a Tc near the ideal range (42-45 °C). In this study, we developed a smart composite formed by an F18 bioactive glass matrix with different amounts of Lanthanum-Strontium Manganite (LSM) powder (5, 10, 20, and 30 wt.% LSM). The effect of LSM addition was analyzed in terms of sinterability, magnetic properties, heating ability under a magnetic field, and in vitro bioactivity. The saturation magnetization (Ms) and remanent magnetization (Mr) increased by the LSM content, the confinement of LSM particles within the bioactive glass matrix also caused an increase in Tc. Calorimetry evaluation revealed a temperature increase from 5 °C (composition LSM5) to 15 °C (LSM30). The specific absorption rates were also calculated. Bioactivity measurements demonstrated HCA formation on the surface of all the composites in up to 15 days. The best material reached 40 °C, demonstrating the proof of concept sought in this research. Therefore, these composites have great potential for bone cancer therapy and should be further explored.

Phenotypic Expression, Natural History, and Risk Stratification of Cardiomyopathy Caused by Filamin C Truncating Variants.

BACKGROUND: Filamin C truncating variants (FLNCtv) cause a form of arrhythmogenic cardiomyopathy: the mode of presentation, natural history, and risk stratification of FLNCtv remain incompletely explored. We aimed to develop a risk profile for refractory heart failure and life-threatening arrhythmias in a multicenter cohort of FLNCtv carriers. METHODS: FLNCtv carriers were identified from 10 tertiary care centers for genetic cardiomyopathies. Clinical and outcome data were compiled. Composite outcomes were all-cause mortality/heart transplantation/left ventricle assist device (D/HT/LVAD), nonarrhythmic death/HT/LVAD, and sudden cardiac death/major ventricular arrhythmias. Previously established cohorts of 46 patients with LMNA and 60 with DSP-related arrhythmogenic cardiomyopathies were used for prognostic comparison. RESULTS: Eighty-five patients carrying FLNCtv were included (42±15 years, 53% men, 45% probands). Phenotypes were heterogeneous at presentation: 49% dilated cardiomyopathy, 25% arrhythmogenic left dominant cardiomyopathy, 3% arrhythmogenic right ventricular cardiomyopathy. Left ventricular ejection fraction was <50% in 64% of carriers and 34% had right ventricular fractional area changes (RVFAC=(right ventricular end-diastolic area - right ventricular end-systolic area)/right ventricular end-diastolic area) <35%. During follow-up (median time 61 months), 19 (22%) carriers experienced D/HT/LVAD, 13 (15%) experienced nonarrhythmic death/HT/LVAD, and 23 (27%) experienced sudden cardiac death/major ventricular arrhythmias. The sudden cardiac death/major ventricular arrhythmias incidence of FLNCtv carriers did not significantly differ from LMNA carriers and DSP carriers. In FLNCtv carriers, left ventricular ejection fraction was associated with the risk of D/HT/LVAD and nonarrhythmic death/HT/LVAD. CONCLUSIONS: Among patients referred to tertiary referral centers, FLNCtv arrhythmogenic cardiomyopathy is phenotypically heterogeneous and characterized by a high risk of life-threatening arrhythmias, which does not seem to be associated with the severity of left ventricular dysfunction.

Wearable, Integrated EEG-fNIRS Technologies: A Review.

There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG-fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied across various fields of brain science. The development of wearable, mechanically and electrically integrated EEG-fNIRS technology is a critical next step in the evolution of this field. A suitable system design could significantly increase the data/image quality, the wearability, patient/subject comfort, and capability for long-term monitoring. Here, we present a concise, yet comprehensive, review of the progress that has been made toward achieving a wearable, integrated EEG-fNIRS system. Significant marks of progress include the development of both discrete component-based and microchip-based EEG-fNIRS technologies; modular systems; miniaturized, lightweight form factors; wireless capabilities; and shared analogue-to-digital converter (ADC) architecture between fNIRS and EEG data acquisitions. In describing the attributes, advantages, and disadvantages of current technologies, this review aims to provide a roadmap toward the next generation of wearable, integrated EEG-fNIRS systems.

Dengue and Zika virus capsid proteins bind to membranes and self-assemble into liquid droplets with nucleic acids.

Dengue virus (DENV) and Zika virus (ZIKV) capsid proteins efficiently recruit and surround the viral RNA at the endoplasmic reticulum (ER) membrane to yield nascent viral particles. However, little is known either about the molecular mechanisms by which multiple copies of capsid proteins assemble into nucleocapsids (NCs) or how the NC is recruited and wrapped by the ER membrane during particle morphogenesis. Here, we measured relevant interactions concerning this viral process using purified DENV and ZIKV capsid proteins, membranes mimicking the ER lipid composition, and nucleic acids in in vitro conditions to understand the biophysical properties of the RNA genome encapsidation process. We found that both ZIKV and DENV capsid proteins bound to liposomes at liquid-disordered phase regions, docked exogenous membranes, and RNA molecules. Liquid-liquid phase separation is prone to occur when positively charged proteins interact with nucleic acids, which is indeed the case for the studied capsids. We characterized these liquid condensates by measuring nucleic acid partition constants and the extent of water dipolar relaxation, observing a cooperative process for the formation of the new phase that involves a distinct water organization. Our data support a new model in which capsid-RNA complexes directly bind the ER membrane, seeding the process of RNA recruitment for viral particle assembly. These results contribute to our understanding of the viral NC formation as a stable liquid-liquid phase transition, which could be relevant for dengue and Zika gemmation, opening new avenues for antiviral intervention.

Hybrid Polymer-Garnet Materials for All-Solid-State Energy Storage Devices.

Hybrid electrolyte materials comprising polymer-ionic salt matrixes embedded with garnet particles constitute a promising class of materials for the realization of all-solid-state batteries. In addition to providing solutions to the safety issues inherent to current liquid electrolytes, hybrid polymer electrolytes offer advantages over other solid-state electrolytes. This is because their functional properties such as ionic conductivity, electrochemical stability, and mechanical and thermal properties can be tailored to a particular application by independently optimizing the properties of the constituent materials. This independent optimization permits the rational design of solid-state electrolytes, thereby solving the current bottlenecks that prevent their practical implementation into battery devices. This Mini-Review starts with a survey of solid-state electrolytes, focusing on their materials and ion transport limitations. Next, we summarize the current understanding of transport mechanisms in composite polymer electrolytes (CPEs) with the purpose of identifying materials' solutions for further improving their properties. The overall goal of the Mini-Review is to foster heightened research interest in these hybrid structures to rapidly advance development of future all-solid-state battery devices.

Time resolved speckle contrast optical spectroscopy at quasi-null source-detector separation for non-invasive measurement of microvascular blood flow.

Time (or path length) resolved speckle contrast optical spectroscopy (TD-SCOS) at quasi-null (2.85 mm) source-detector separation was developed and demonstrated. The method was illustrated by in vivo studies on the forearm muscle of an adult subject. The results have shown that selecting longer photon path lengths results in higher hyperemic blood flow change and a faster return to baseline by a factor of two after arterial cuff occlusion when compared to SCOS without time resolution. This indicates higher sensitivity to the deeper muscle tissue. In the long run, this approach may allow the use of simpler and cheaper detector arrays compared to time resolved diffuse correlation spectroscopy that are based on readily available technologies. Hence, TD-SCOS may increase the performance and decrease cost of devices for continuous non-invasive, deep tissue blood flow monitoring.

Evaluating a new generation of wearable high-density diffuse optical tomography technology via retinotopic mapping of the adult visual cortex.

Significance: High-density diffuse optical tomography (HD-DOT) has been shown to approach the resolution and localization accuracy of blood oxygen level dependent-functional magnetic resonance imaging in the adult brain by exploiting densely spaced, overlapping samples of the probed tissue volume, but the technique has to date required large and cumbersome optical fiber arrays. Aim: To evaluate a wearable HD-DOT system that provides a comparable sampling density to large, fiber-based HD-DOT systems, but with vastly improved ergonomics. Approach: We investigated the performance of this system by replicating a series of classic visual stimulation paradigms, carried out in one highly sampled participant during 15 sessions to assess imaging performance and repeatability. Results: Hemodynamic response functions and cortical activation maps replicate the results obtained with larger fiber-based systems. Our results demonstrate focal activations in both oxyhemoglobin and deoxyhemoglobin with a high degree of repeatability observed across all sessions. A comparison with a simulated low-density array explicitly demonstrates the improvements in spatial localization, resolution, repeatability, and image contrast that can be obtained with this high-density technology. Conclusions: The system offers the possibility for minimally constrained, spatially resolved functional imaging of the human brain in almost any environment and holds particular promise in enabling neuroscience applications outside of the laboratory setting. It also opens up new opportunities to investigate populations unsuited to traditional imaging technologies.

Asociación entre el tratamiento esteroideo a dosis alta, la función respiratoria y el tiempo hasta el alta en pacientes con COVID-19: Estudio de cohortes / Association between high-dose steroid therapy, respiratory function, and time to discharge in patients with COVID-19: Cohort study

OBJETIVO: Analizar si existe asociación entre el uso de glucocorticoides a dosis altas y la evolución de la SAFI (saturación/fracción inspirada de oxígeno) o el tiempo hasta el alta, en pacientes hospitalizados por COVID-19. MÉTODOS: Estudio observacional sobre una cohorte de 418 pacientes ingresados en 3 hospitales comarcales de Cataluña (España). Como resultados primarios se estudiaron la evolución de la SAFI en las primeras 48h de tratamiento y el tiempo hasta el alta. Los resultados se compararon entre pacientes tratados y no tratados con glucocorticoides (metilprednisolona 1-2mg/kg/día o dexametasona 20-40mg/día), mediante el análisis de subcohortes emparejadas por múltiples factores clínicos y pronósticos, así como mediante modelos multivariantes de Cox, ajustados por diversos factores pronósticos. El uso simultáneo de diferentes tratamientos para la COVID-19 fue tenido en cuenta, tanto en el emparejamiento de subcohortes como en la regresión de Cox. RESULTADOS: Hubo 187 pacientes con glucocorticoides; de ellos, 25 pacientes pudieron ser emparejados con un número equivalente de pacientes control. En las subcohortes emparejadas, no se apreció diferencia en el tiempo hasta el alta (log-rank: p = 0,291), ni en el cambio en la SAFI a las 48h desde la basal (glucocorticoides: −0,04; controles: +0,37; p = 0,095). Los modelos multivariantes mediante regresión de Cox mostraron un tiempo hasta el alta significativamente más largo en pacientes tratados con glucocorticoides (hazard ratio: 7,26; IC 95%: 3,30-15,95). CONCLUSIONES: No hemos encontrado mejoría en la función respiratoria o tiempo hasta el alta, asociado al uso de glucocorticoides a dosis altas

OBJECTIVE: To analyze whether there is an association between the use glucocorticoids at high doses, and the evolution of saturation/fraction of inspired oxygen (SAFI) or time to discharge, in patients hospitalized with COVID-19. METHODS: This was an observational study on a cohort of 418 patients admitted to three regional hospitals in Catalonia, Spain. As primary outcomes, we studied the evolution of SAFI in the first 48hours of treatment and the time to discharge. The results were compared between patients treated and untreated with glucocorticoids (methylprednisolone 1-2mg/kg/day o dexamethasone 20-40mg/day) through sub-cohort analyses matched for multiple clinical and prognostic factors, as well as through Cox multivariate models adjusted for prognostic factors. The simultaneous use of different treatments for COVID-19 was taken into account, both in sub-cohorts matching and in Cox regression. RESULTS: There were 187 patients treated with glucocorticoids; of these, 25 patients could be matched with an equivalent number of control patients. In the analysis of these matched sub-cohorts, no significant difference was observed in time to discharge (log-rank: p = 0.291) or the increment in SAFI at 48hours of treatment (glucocorticoides: −0.04; controls: +0.37; p = 0.095). Multivariate models using Cox regression showed a significantly longer time to discharge in patients treated with glucocorticoids (hazard ratio: 7.26; 95% IC: 3.30-15.95). CONCLUSIONS: We have not found improvement in respiratory function or time until discharge, associated with the use of glucocorticoids at high doses

Association between high-dose steroid therapy, respiratory function, and time to discharge in patients with COVID-19: Cohort study.

OBJECTIVE: To analyze whether there is an association between the use glucocorticoids at high doses, and the evolution of saturation/fraction of inspired oxygen (SAFI) or time to discharge, in patients hospitalized with COVID-19. METHODS: This was an observational study on a cohort of 418 patients admitted to three regional hospitals in Catalonia, Spain. As primary outcomes, we studied the evolution of SAFI in the first 48 h of treatment and the time to discharge. The results were compared between patients treated and untreated with glucocorticoids (methylprednisolone 1 mg/kg/day o dexamethasone 20-40 mg/day) through sub-cohort analyses matched for multiple clinical and prognostic factors, as well as through Cox multivariate models adjusted for prognostic factors. The simultaneous use of different treatments for COVID-19 was taken into account, both in sub-cohorts matching and in COX regression. RESULTS: There were 187 patients treated with glucocorticoids; of these, 25 patients could be matched with an equivalent number of control patients. In the analysis of these matched sub-cohorts, no significant difference was observed in time to discharge (log-rank: p = 0.291) or the increment in SAFI at 48 h of treatment (glucocorticoides: -0.04; controls: +0.37; p = 0.095). Multivariate models using Cox regression showed a significantly longer time to discharge in patients treated with glucocorticoids (hazard ratio: 7.26; 95% IC: 3.30-15.95). CONCLUSIONS: We have not found improvement in respiratory function or time until discharge, associated with the use of glucocorticoids at high doses.

OBJETIVO: Analizar si existe asociación entre el uso de glucocorticoides a dosis altas y la evolución de la SAFI (saturación/fracción inspirada de oxígeno) o el tiempo hasta el alta, en pacientes hospitalizados por COVID-19. MÉTODOS: Estudio observacional sobre una cohorte de 418 pacientes ingresados en 3 hospitales comarcales de Cataluña (España). Como resultados primarios se estudiaron la evolución de la SAFI en las primeras 48 h de tratamiento y el tiempo hasta el alta. Los resultados se compararon entre pacientes tratados y no tratados con glucocorticoides (metilprednisolona 1-2 mg/kg/día o dexametasona 20-40 mg/día), mediante el análisis de subcohortes emparejadas por múltiples factores clínicos y pronósticos, así como mediante modelos multivariantes de Cox, ajustados por diversos factores pronósticos. El uso simultáneo de diferentes tratamientos para la COVID-19 fue tenido en cuenta, tanto en el emparejamiento de subcohortes como en la regresión de Cox. RESULTADOS: Hubo 187 pacientes con glucocorticoides; de ellos, 25 pacientes pudieron ser emparejados con un número equivalente de pacientes control. En las subcohortes emparejadas, no se apreció diferencia en el tiempo hasta el alta (log-rank: p = 0,291), ni en el cambio en la SAFI a las 48 h desde la basal (glucocorticoides: −0,04; controles: +0,37; p = 0,095). Los modelos multivariantes mediante regresión de Cox mostraron un tiempo hasta el alta significativamente más largo en pacientes tratados con glucocorticoides (hazard ratio: 7,26; IC 95%: 3,30-15,95). CONCLUSIONES: No hemos encontrado mejoría en la función respiratoria o tiempo hasta el alta, asociado al uso de glucocorticoides a dosis altas.

[Association between high-dose steroid therapy, respiratory function, and time to discharge in patients with COVID-19: Cohort study]. / Asociación entre el tratamiento esteroideo a dosis alta, la función respiratoria y el tiempo hasta el alta en pacientes con COVID-19: Estudio de cohortes.

OBJECTIVE: To analyze whether there is an association between the use glucocorticoids at high doses, and the evolution of saturation/fraction of inspired oxygen (SAFI) or time to discharge, in patients hospitalized with COVID-19. METHODS: This was an observational study on a cohort of 418 patients admitted to three regional hospitals in Catalonia, Spain. As primary outcomes, we studied the evolution of SAFI in the first 48hours of treatment and the time to discharge. The results were compared between patients treated and untreated with glucocorticoids (methylprednisolone 1-2mg/kg/day o dexamethasone 20-40mg/day) through sub-cohort analyses matched for multiple clinical and prognostic factors, as well as through Cox multivariate models adjusted for prognostic factors. The simultaneous use of different treatments for COVID-19 was taken into account, both in sub-cohorts matching and in Cox regression. RESULTS: There were 187 patients treated with glucocorticoids; of these, 25 patients could be matched with an equivalent number of control patients. In the analysis of these matched sub-cohorts, no significant difference was observed in time to discharge (log-rank: p=0.291) or the increment in SAFI at 48hours of treatment (glucocorticoides: -0.04; controls: +0.37; p=0.095). Multivariate models using Cox regression showed a significantly longer time to discharge in patients treated with glucocorticoids (hazard ratio: 7.26; 95% IC: 3.30-15.95). CONCLUSIONS: We have not found improvement in respiratory function or time until discharge, associated with the use of glucocorticoids at high doses.

Dual wavelength spread-spectrum time-resolved diffuse optical instrument for the measurement of human brain functional responses.

Near-infrared spectroscopy has proven to be a valuable method to monitor tissue oxygenation and haemodynamics non-invasively and in real-time. Quantification of such parameters requires measurements of the time-of-flight of light through tissue, typically achieved using picosecond pulsed lasers, with their associated cost, complexity, and size. In this work, we present an alternative approach that employs spread-spectrum excitation to enable the development of a small, low-cost, dual-wavelength system using vertical-cavity surface-emitting lasers. Since the optimal wavelengths and drive parameters for optical spectroscopy are not served by commercially available modules as used in our previous single-wavelength demonstration platform, we detail the design of a custom instrument and demonstrate its performance in resolving haemodynamic changes in human subjects during apnoea and cognitive task experiments.

Association between COVID-19 prognosis and disease presentation, comorbidities and chronic treatment of hospitalized patients.

IMPORTANCE: The rapid pandemic expansion of the disease caused by the new SARS-CoV-2 virus has compromised health systems worldwide. Knowledge of prognostic factors in affected patients can help optimize care. OBJECTIVE: The objective of this study was to analyze the relationship between the prognosis of COVID-19 and the form of presentation of the disease, the previous pathologies of patients and their chronic treatments. DESIGN, PARTICIPANTS AND LOCATIONS: This was an observational study on a cohort of 418 patients admitted to three regional hospitals in Catalonia (Spain). As primary outcomes, severe disease (need for oxygen therapy via nonrebreather mask or mechanical ventilation) and death were studied. Multivariate binary logistic regression models were performed to study the association between the different factors and the results. RESULTS: Advanced age, male sex and obesity were independent markers of poor prognosis. The most frequent presenting symptom was fever, while dyspnea was associated with severe disease and the presence of cough with greater survival. Low oxygen saturation in the emergency room, elevated CRP in the emergency room and initial radiological involvement were all related to worse prognosis. The presence of eosinophilia (% of eosinophils) was an independent marker of less severe disease. CONCLUSIONS: This study identified the most robust markers of poor prognosis for COVID-19. These results can help to correctly stratify patients at the beginning of hospitalization based on the risk of developing severe disease.