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Abstract Background This study aimed to develop prognostic models for predicting the need for invasive mechanical ventilation (IMV) in intensive care unit (ICU) patients with COVID-19 and compare their performance with the Respiratory rate-OXygenation (ROX) index. Methods A retrospective cohort study was conducted using data collected between March 2020 and August 2021 at three hospitals in Rio de Janeiro, Brazil. ICU patients aged 18 years and older with a diagnosis of COVID-19 were screened. The exclusion criteria were patients who received IMV within the first 24 h of ICU admission, pregnancy, clinical decision for minimal end-of-life care and missing primary outcome data. Clinical and laboratory variables were collected. Multiple logistic regression analysis was performed to select predictor variables. Models were based on the lowest Akaike Information Criteria (AIC) and lowest AIC with significant p values. Assessment of predictive performance was done for discrimination and calibration. Areas under the curves (AUC)s were compared using DeLong’s algorithm. Models were validated externally using an international database. Results Of 656 patients screened, 346 patients were included; 155 required IMV (44.8%), 191 did not (55.2%), and 207 patients were male (59.8%). According to the lowest AIC, arterial hypertension, diabetes mellitus, obesity, Sequential Organ Failure Assessment (SOFA) score, heart rate, respiratory rate, peripheral oxygen saturation (SpO2), temperature, respiratory effort signals, and leukocytes were identified as predictors of IMV at hospital admission. According to AIC with significant p values, SOFA score, SpO2, and respiratory effort signals were the best predictors of IMV; odds ratios (95% confidence interval): 1.46 (1.07–2.05), 0.81 (0.72–0.90), 9.13 (3.29–28.67), respectively. The ROX index at admission was lower in the IMV group than in the non-IMV group (7.3 [5.2–9.8] versus 9.6 [6.8–12.9], p

LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, and compressed data formats (e.g. LAZ) have been proposed over the years. These formats are capable of transparently decompressing portions of the data, but they are not focused on solving general queries over the data. In contrast to that traditional approach, a new recent research line focuses on designing data structures that combine compression and indexation, allowing directly querying the compressed data. Compression is used to fit the data structure in main memory all the time, thus getting rid of disk accesses, and indexation is used to query the compressed data as fast as querying the uncompressed data. In this paper, we present the first data structure capable of losslessly compressing point clouds that have attributes and jointly indexing all three dimensions of space and attribute values. Our method is able to run range queries and attribute queries up to 100 times faster than previous methods.

Objetivo: el coronavirus del síndrome respiratorio agudo grave de tipo 2 (SARS-CoV-2) causa un gran espectro de síntomas, dentro de los que se incluyen manifestaciones gastrointestinales como náuseas, vómito, diarrea y dolor abdominal. El objetivo del presente estudio fue evaluar si la presencia o no de dichos síntomas gastrointestinales podía estar relacionada con una progresión más grave de la enfermedad, entendida como muerte, necesidad de manejo en unidad de cuidados intensivos, ventilación mecánica o coinfección bacteriana. Pacientes y métodos: se realizó un estudio observacional analítico de tipo cohorte con pacientes con covid-19 confirmado con síntomas gastrointestinales y un grupo comparador sin síntomas gastrointestinales. Los pacientes incluidos debían ser mayores de 18 años, que acudieran por sintomatología sugestiva de covid-19 y que se les confirmara el diagnóstico mediante una prueba de reacción en cadena de la polimerasa. Resultados: se analizó a un total de 414 pacientes que cumplieron con los criterios de selección y se encontró que la mortalidad solo está influenciada por la edad, mientras que la ventilación mecánica y la necesidad de manejo en la unidad de cuidados intensivos están relacionadas con el perfil de función hepática. Sin embargo, no se encontró ninguna diferencia en cuanto a la gravedad con respecto a los pacientes que sí presentaron síntomas gastrointestinales frente a los que no tenían síntomas. Conclusiones: los síntomas gastrointestinales de manera individual no representan un riesgo de progresión de la enfermedad por SARS-CoV-2; sin embargo, sí se debería incluir dentro de la valoración inicial de estos pacientes los niveles de alanina-aminotransferasa (ALT), aspartato-aminotransferasa (AST) y bilirrubina directa (BD), pues aportan un valor en cuanto al pronóstico según los resultados de nuestro estudio.

The aim of this study is to assess the impact of various row spacings on the morphology, components of grain yield, and overall grain yield of soybean. The experiments were conducted over two planting seasons (2014/2015 and 2015/2016) using two planting dates (November and December) and two cultivars, FPS Urano RR and BMX Tornado RR. The row spacings tested were: 45 cm (wide row), 45 × 45 cm (cross row), 22.5 × 45 cm (twin row), and 22.5 cm (narrow row). Measurements included leaf area index and sunlight interception at R2 stage, as well as grain yield components and overall grain yield. Narrow rows, in addition to achieving canopy closure, also demonstrated enhanced sunlight interception at the R2 stage. However, the positive effect of increased sunlight interception on grain yield was only significant for the December planting date, with no notable difference observed for the November planting date. These findings imply that while narrow rows may offer advantages, particularly in later planting dates, their implementation should be carefully considered and may not consistently lead to increased grain yield, reinforcing the continued preference for conventional row spacing.

ABSTRACT Influence of Quaternary climate change on the potencial distribution of Atlantic Forest dung beetles (Coleoptera: Scarabaeidae: Scarabaeinae). The role of Cenozoic paleoclimatic changes in the distribution of dung beetles species from the Atlantic Forest (AF) remains poorly understood. We used ecological niche modeling under different scenarios (present, 6 ka, 21 ka, and 120 ka) to investigate how climatic oscillations during the Quaternary might have influenced the distribution of species endemic to this region. Models were built for five of the nine dung beetle species of the Dichotomius sericeus group: D. iannuzziae, D. irinus, D. laevicollis, D. schiffleri, and D. sericeus. The models of climatic suitability for D. irinus and D. laevicollis show a similar historical pattern in response to climate change but were divergent from D. iannuzziae, D. schiffleri, and D. sericeus. Dichotomius schiffleri is the species with the smallest area of potencial occurrence. Over time, the species probably remained limited to lowland AF areas on the Brazilian coast and, it is currently found preferentially in Restinga ecosystems along the coast. Regarding the potential distribution models at the present, D. iannuzziae, D. schiffleri, and D. sericeus have potential distributions similar to their realized distribution. This study shows that the historical distribution of the D. sericeus species group has been influenced by paleoclimatic changes that occurred in the AF over the last 120 ka.

Sugarcane is a crucial crop for sugar and bioenergy production. Saccharose content and total weight are the two main key commercial traits that compose sugarcane’s yield. These traits are under complex genetic control and their response patterns are influenced by the genotype-by-environment (G×E) interaction. An efficient breeding of sugarcane demands an accurate assessment of the genotype stability through multi-environment trials (METs), where genotypes are tested/evaluated across different environments. However, phenotyping all genotype-in-environment combinations is often impractical due to cost and limited availability of propagation-materials. This study introduces the sparse testing designs as a viable alternative, leveraging genomic information to predict unobserved combinations through genomic prediction models. This approach was applied to a dataset comprising 186 genotypes across six environments (6×186=1,116 phenotypes). Our study employed three predictive models, including environment, genotype, and genomic markers as main effects, as well as the G×E to predict saccharose accumulation (SA) and tons of cane per hectare (TCH). Calibration sets sizes varying between 72 (6.5%) to 186 (16.7%) of the total number of phenotypes were composed to predict the remaining 930 (83.3%). Additionally, we explored the optimal number of common genotypes across environments for G×E pattern prediction. Results demonstrate that maximum accuracy for SA (ρ=0.611) and for TCH (ρ=0.341) was achieved using in training sets few (3) to no common (0) genotype across environments maximizing the number of different genotypes that were tested only once. Significantly, we show that reducing phenotypic records for model calibration has minimal impact on predictive ability, with sets of 12 non-overlapped genotypes per environment (72=12×6) being the most convenient cost-benefit combination.

O vírus citomegálico (CMV) é um tipo de vírus de ácido desoxirribonucleico de dupla cadeia que pertence à família herpesviridae. Após uma infeção primária, o vírus torna-se latente em vários tipos de glóbulos brancos. A infeção por CMV pode permanecer latente ou tornar-se ativa, especialmente em indivíduos imunodeprimidos, como aqueles submetidos a transplantes de células progenitoras hematopoiéticas (TPH), onde a reativação do CMV pode ocorrer. Neste contexto, a infeção por CMV é comum e associada a elevadas taxas de morbilidade e mortalidade. A pneumonite é uma das complicações mais graves, com taxas de mortalidade superiores a 50%. Além disso, mesmo na ausência de doença específica do órgão, a infeção por CMV está relacionada com um aumento da mortalidade não relacionada com a recidiva da neoplasia hematológica. Dada a frequência e gravidade desta infeção em doentes submetidos a TPH, é crucial implementar estratégias eficazes de monitorização, prevenção e tratamento. Este protocolo foi desenvolvido para identificar os grupos de doentes que se beneficiam de uma abordagem sistematizada para a infeção por CMV e definir a estratégia mais adequada para cada grupo. A monitorização da carga viral de CMV no sangue periférico é fundamental, especialmente em doentes com risco moderado a elevado de infeção ativa. A profilaxia primária com letermovir (fármaco antiviral) é recomendada para reduzir a incidência de infeção ativa, especialmente em doentes com alto risco. A profilaxia secundária com valganciclovir (fármaco antiviral) é recomendada após um episódio de infeção ativa, enquanto o tratamento de antecipação e de doença é baseado na monitorização da carga viral e na resposta clínica. Este protocolo visa melhorar a abordagem da infeção por CMV em doentes submetidos a TPH, garantindo uma abordagem preventiva e terapêutica eficaz e segura.

RESUMO: O presente trabalho consiste em analisar o embate entre representação, imaginário e modernidade, identificado no romance A selva (1930), do escritor português Ferreira de Castro (1898-1974). Por esses meandros, propõe-se, igualmente, tecer uma apreciação a fim de verificar a maneira pela qual a produção literária em tela reconstrói, de forma crítica e inventiva, uma poética vinculada ao imaginário e outra correlacionada à decadência do universo amazônico, também detectadas, à sua maneira, em diferentes produções literárias publicadas na literatura brasileira, inclusive em obras ficcionais compostas na região norte do país.

High electrical conductivity, along with high piezoresistive sensitivity and stretchability, are crucial for designing and developing nanocomposite strain sensors for damage sensing and on-line structural health monitoring of smart carbon fiber-reinforced polymer (CFRP) composites. In this study, the influence of the geometric features and loadings of carbon-based nanomaterials, including reduced graphene oxide (rGO) or carbon nanofibers (CNFs), on the tunable strain-sensing capabilities of epoxy-based nanocomposites was investigated. This work revealed distinct strain-sensing behavior and sensitivities (gauge factor, GF) depending on both factors. The highest GF values were attained with 0.13 wt.% of rGO at various strains. The stability and reproducibility of the most promising self-sensing nanocomposites were also evaluated through ten stretching/relaxing cycles, and a distinct behavior was observed. While the deformation of the conductive network formed by rGO proved to be predominantly elastic and reversible, nanocomposite sensors containing 0.714 wt.% of CNFs showed that new conductive pathways were established between neighboring CNFs. Based on the best results, formulations were selected for the manufacturing of pre-impregnated materials and related smart CFRP composites. Digital image correlation was synchronized with electrical resistance variation to study the strain-sensing capabilities of modified CFRP composites (at 90° orientation). Promising results were achieved through the incorporation of CNFs since they are able to form new conductive pathways and penetrate between micrometer-sized fibers.

La principal herramienta para la obstrucción biliar maligna es la descompresión de la vía biliar, mediante la colangiopancreatografía retrógrada endoscópica (CPRE) con colocación de stent, la cual en un gran porcentaje de los casos es satisfactoria; sin embargo, el verdadero reto se presenta cuando es imposible canular la papila de váter por compromiso neoplásico a ese nivel. Aunque el drenaje biliar transhepático percutáneo (PTBD) es una opción, representa una gran morbilidad, que repercute directamente en la calidad de vida del paciente al tener un dispositivo externo sumado a una patología maligna. Con la llegada de la ultrasonografía endoscópica (USE), existen nuevos métodos reportados como la hepaticogastrostomía guiada por EUS (EUS-HGS), la cual se realiza por un orificio natural (NOTES) e impacta positivamente en el desenlace de estos pacientes. A continuación, se ejemplifica nuestra experiencia con los primeros 3 casos en Colombia.

Introduction: Stroke is considered one of the greatest public health challenges worldwide, with the ischemic subtype being the most prevalent. Various acute stroke clinical guidelines recommend early rehabilitation interventions, including very early mobilization. However, despite the studies conducted in recent years regarding when to initiate mobilization after an acute stroke, there are few systematic and personalized protocols based on the factors for which patient mobilization should ideally be performed. We aim to conduct an umbrella review of systematic reviews and meta-analyses to study the early mobilization decision after an acute ischemic stroke in comparison with conventional care and correlate the different approaches with patient clinical outcomes. Methods and Analysis: We will perform a systematic search on PubMed/MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Epistemonikos and Web of Science Core Collection databases. Retrieved studies will be independently reviewed by two authors and any discrepancies will be resolved by consensus or with a third reviewer. Reviewers will extract the data and assess the risk of bias in the selected studies. We will use the 16-item Assessment of Multiple Systematic Reviews 2 (AMSTAR2) checklist as the critical appraisal tool to assess cumulative evidence and risk of bias of the different studies. This will be the first umbrella review that compares early mobilization approaches in post-acute ischemic stroke. This study may help to define the optimal early mobilization strategy in stroke patients. PROSPERO registration number: CRD42023430494

Increasing the effectiveness of vaccines against respiratory viruses is particularly relevant for the elderly, since they are prone to develop serious infections due to comorbidities and the senescence of the immune system. The addition of saponin-based adjuvants is an interesting strategy to increase the effectiveness of vaccines. We have previously shown that ISCOM matrices from Q. brasiliensis (IMXQB) are a safe and potent adjuvant. In this study, we evaluated the use of IMXQB as an adjuvant for the seasonal trivalent influenza vaccine (TIV) in an aged mice model. Herein, we show that subcutaneous injection of the adjuvanted vaccine promoted higher titers of IgM, IgG (and isotypes), and serum hemagglutination inhibition titers (HAI). Notably, aged mice immunized by intranasal route also produced higher IgG (and isotypes) and IgA titers up to 120 days after priming, as well as demonstrating an improvement in the HAI antibodies against the TIV. Further, experimental infected aged mice treated once with sera from adult naïve mice previously immunized with TIV-IMXQB subcutaneously successfully controlled the infection. Overall, TIV-IMXQB improved the immunogenicity compared to TIV by enhancing systemic and mucosal immunity in old mice conferring a faster recovery after the H1N1pdm09-like virus challenge. Thus, IMXQB nanoparticles may be a promising platform for next-generation viral vaccines.

Abstract BackgroundIn aesthetic practice, delayed-onset (late) inflammatory reactions (DIRs) to dermal fillers are encountered. The treatment of DIRs can be challenging, with a response to established therapies, including oral antibiotics, intralesional and oral steroids, and hyaluronidase injection, occasionally reported as unsatisfactory. ObjectivesEvaluate the efficacy of low-dose oral methotrexate (MTX) therapy in treating recalcitrant DIRs. MethodsWe retrospectively reviewed cases of recalcitrant DIRs treated with oral MTX. Data collected included individuals' gender and age, medical history, filler type, facial area(s) injected, previous treatments attempted to dissolve the DIR, MTX treatment dosage and duration, and outcome. Adverse events were monitored throughout the treatment. ResultsThirteen females with a mean age of 52.6 years (range, 31-67 years) who developed recalcitrant DIRs to dermal filler injection are included. Eight reactions were triggered by the injection of hyaluronic acid (HA) fillers, 4 by liquid injectable silicone (LIS), and 1 by polymethylmethacrylate (PMMA). The average starting dosage of MTX was 12.1 mg/week (range, 7.5-12.5 mg/week). Patients were treated for 2 to 3 months in most cases. The average follow-up post-MTX therapy was 11.8 months (range, 2-36 months). A complete response to MTX treatment was observed in 10 patients (6 HA and 4 LIS cases), partial response in 1 (HA case), and an unsatisfactory response in 2 (HA and PMMA cases). Treatment was well tolerated. ConclusionsA short course of low-dose oral MTX is a possible treatment for DIRs that have not responded to established therapies. The promising results of this report require validation by powered studies. Level of Evidence: 4

Este artigo tem como principal objetivo analisar a viabilidade e competitividade sistêmica do biodiesel na região do MATOPIBA, tendo como base a aplicação da metodologia Viable System Model (VSM) no contexto da área de estudo selecionada. É relevante analisar como a competitividade do biodiesel MATOPIBA pode tornar mais viável em um contexto cada vez mais dinâmico e complexo, onde há atualmente uma grande dependência excessiva da soja como principal matéria-prima. A metodologia utilizada neste estudo se baseou na aplicação do Viable System Model (VSM) por meio do uso do software VSMod®. Com base nos resultados encontrados, foi possível identificar opções de matérias-primas pouco exploradas, como o sebo bovino e o algodão, que podem ser consideradas alternativas viáveis para a produção de biodiesel. O estudo identificou que a produção de biodiesel na região do MATOPIBA é fortemente dependente da soja, impactando negativamente a cadeia alimentar e a competitividade do setor. Assim, considera-se que é necessário diversificar as matérias-primas para reduzir essa dependência. Abstract: This article's main objective is to analyze the systemic viability and competitiveness of biodiesel in the MATOPIBA region, based on the application of the Viable System Model (VSM) methodology in the context of the selected study area. It is relevant to analyze how the competitiveness of MATOPIBA biodiesel can become more viable in an increasingly dynamic and complex context, where there is currently a great excessive dependence on soy as the main raw material. The methodology used in this study was based on the application of the Viable System Model (VSM) through the use of the VSMod® software. Based on the results found, it was possible to identify little explored raw material options, such as beef tallow and cotton, which can be considered viable alternatives for the production of biodiesel. The study considered that biodiesel production in the MATOPIBA region is heavily dependent on soybeans, which negatively impacts the food chain and the competitiveness of the sector. Therefore, it is considered necessary to diversify raw materials to reduce this dependence.

Familial hypercholesterolemia (FH) is a common genetic disorder of lipid metabolism caused by pathogenic/likely pathogenic variants in LDLR, APOB, and PCSK9 genes. Variants in FH-phenocopy genes (LDLRAP1, APOE, LIPA, ABCG5, and ABCG8), polygenic hypercholesterolemia, and hyperlipoprotein (a) [Lp(a)] can also mimic a clinical FH phenotype. We aim to present a new diagnostic tool to unravel the genetic background of clinical FH phenotype. Biochemical and genetic study was performed in 1,005 individuals with clinical diagnosis of FH, referred to the Portuguese FH Study. A next-generation sequencing panel, covering eight genes and eight SNPs to determine LDL-C polygenic risk score and LPA genetic score, was validated, and used in this study. FH was genetically confirmed in 417 index cases: 408 heterozygotes and 9 homozygotes. Cascade screening increased the identification to 1,000 FH individuals, including 11 homozygotes. FH-negative individuals (phenotype positive and genotype negative) have Lp(a) >50 mg/dl (30%), high polygenic risk score (16%), other monogenic lipid metabolism disorders (1%), and heterozygous pathogenic variants in FH-phenocopy genes (2%). Heterozygous variants of uncertain significance were identified in primary genes (12%) and phenocopy genes (7%). Overall, 42% of our cohort was genetically confirmed with FH. In the remaining individuals, other causes for high LDL-C were identified in 68%. Hyper-Lp(a) or polygenic hypercholesterolemia may be the cause of the clinical FH phenotype in almost half of FH-negative individuals. A small part has pathogenic variants in ABCG5/ABCG8 in heterozygosity that can cause hypercholesterolemia and should be further investigated. This extended next-generation sequencing panel identifies individuals with FH and FH-phenocopies, allowing to personalize each person’s treatment according to the affected pathway.

ObjectivesIn this study, we aimed to systematically review the literature of the prevalence of systemic antibacterial use during pregnancy and to perform a descriptive analysis focused on methodological characteristics.Materials and methodsThis study was registered in PROSPERO under protocol number CRD42022376634. Medline, Embase, Scientific Electronic Library Online, Biblioteca Virtual em Saúde, Cumulative Index to Nursing and Allied Health Literature, and Web of Science databases were searched (published studies until November 3rd, 2022). Selected studies were population-based cross-sectional or cohort, carried out with pregnant women, and providing information about the prevalence of systemic antibacterial use at least in one trimester of pregnancy. Reviewers conducted in pairs the title and abstract screening, eligibility criteria check, and data extraction of selected studies. Quality appraisal was performed with an adapted version of the Joanna Briggs Institute Critical Appraisal Checklist for Prevalence Studies. Data of included studies were pooled into a graphical and tabular summary.ResultsA total of 16,251,280 pregnant women and 5,169,959 pregnancy registers were identified. The prevalence estimates of systemic antibacterial use during pregnancy ranged from 2.0% (95%CI 2.0-2.0) to 64.3% (95%CI not reported) in the 79 included studies. The majority were performed in high-income countries (91.5%). Overall, the studies revealed considerable prevalence heterogeneity in terms of study type and dataset used. The 95% confidence intervals were not reported in 41% of studies.ConclusionThe disparities in the prevalence of systemic antibacterial use during pregnancy can be related to methodological issues and different health policies. Lack of uniform databases and changes in data collection methods over time should be taken into account in public health strategy planning. The scarce evidence in low- and middle-income settings hampers the comprehensiveness of the global prevalence of antibacterial use during pregnancy.

Patient blood samples are invaluable in clinical omics databases, yet current methodologies often fail to fully uncover the molecular mechanisms driving patient pathology. While genome-scale metabolic models (GEMs) show promise in systems medicine by integrating various omics data, having only exometabolomic data remains a limiting factor. To address this gap, we introduce a comprehensive pipeline integrating GEMs with patient plasma metabolome. This pipeline constructs case-specific GEMs using literature-based and patient-specific metabolomic data. Novel computational methods, including adaptive sampling and an in-house developed algorithm for the rational exploration of the sampled space of solutions, enhance integration accuracy while improving computational performance. Model characterization involves task analysis in combination with clustering methods to identify critical cellular functions. The new pipeline was applied to a cohort of trauma patients to investigate shock-induced endotheliopathy using patient plasma metabolome data. By analyzing endothelial cell metabolism comprehensively, the pipeline identified critical therapeutic targets and biomarkers that can potentially contribute to the development of therapeutic strategies. Our study demonstrates the efficacy of integrating patient plasma metabolome data into computational models to analyze endothelial cell metabolism in disease contexts. This approach offers a deeper understanding of metabolic dysregulations and provides insights into diseases with metabolic components and potential treatments.

Sediment deposition at the bottom of artificial reservoirs has become a worldwide problem. This comprises a dual issue that is, in the first place, associated with the reduction in storage capacity and lifetime of large reservoirs. The second aspect comprises the threat that the sediment represents for the dam structure. This research is mainly aimed at identifying and inferring the main sediments’ triggering processes through a rigorous analysis of deposition shapes in a large reservoir. For identifying the main deposition shapes, a sequential methodology was designed and developed comprising the following stages. First, an analysis of XYZ cartography from bathymetric development was conducted. Then, a shapes categorization was developed that comprises the identification of six types of shapes based on four parameters: slope continuity, slope break, absolute and relative slope, and arc configuration. The third stage comprised a visualization and spatial calculation of shapes through GIS-based cartography. The fourth stage comprised an interpretation of deposition shapes processes: for that, a dual analysis was developed. First, an analysis based on fluvial sediments transport processes was realized. The second stage implied an analysis of the dam influence on fluvial hydrodynamics and sediments transport. Results comprised a quantitative assessment of each shape as well as physical processes identification and interpretation, generating a robust equivalence between shapes and triggering processes. This research proved successful for the identification and characterization of the main deposition and transport processes that may help to prevent, palliate, and/or correct phenomenon of silting in large reservoirs. This detailed knowledge of deposition forms opens new strategies to release sediments from storage water more effectively.

The importance of fungal infections, particularly those caused by yeasts, is increasing among the medical community. Candida albicans and Cryptococcus neoformans are amongst the high-priority fungal species identified by the World Health Organization (WHO) and are considered in the critical group, while Candida krusei is included in the medium-priority group. The cyclam salt H4[H2(4-CF3PhCH2)2Cyclam]Cl4 proved to be active against the growth of these three yeasts, and the aim of this work was to verify its interference with their virulence mechanisms, whether shared or unique. H4[H2(4-CF3PhCH2)2Cyclam]Cl4 significantly inhibited biofilm production and catalase activity, being able to interfere with C. albicans dimorphic transition and C. neoformans melanin production. At the minimal inhibitory concentration (MIC) values, H4[H2(4-CF3PhCH2)2Cyclam]Cl4 had no antioxidant effect, as determined by the DPPH method. When using the RAW264.7 macrophage cell line, H4[H2(4-CF3PhCH2)2Cyclam]Cl4 reduced nitric oxide (NO) detection (the Griess reaction), but this effect was associated with a significant toxic effect on the cells.

Background: Track PCC includes five geographic surveillance sites to conduct standardized population-based surveillance to estimate and track Post-COVID Conditions (PCC) by age, sex, race/ethnicity, geographic area, severity of initial infection, and risk factors among persons with evidence of SARS-CoV-2 infection (based on the Council of State and Territorial Epidemiologist [CSTE] case definitions for confirmed cases or laboratory-confirmed evidence of infection)., Methods: The study will estimate the incidence, prevalence, including temporal trends, and duration and severity of PCC symptoms, among children, adolescents, and adults. PCCs include a broad range of symptoms and conditions that continue or develop after acute SARS-CoV-2 infection or COVID-19 illness. Surveillance includes both passive and active components for diverse populations in Arizona, Indiana, and Utah as well as the Bronx Borough, NY, and part of Philadelphia County, PA. Passive surveillance will utilize electronic health records and health information exchanges within each site catchment area to longitudinally follow persons with COVID-19 to estimate PCC occurring at least 30 days after acute COVID-19 illness. Active surveillance will utilize self-report of PCCs from detailed surveys of persons ages 7 years and older with evidence of SARS-CoV-2 infection in the past 3 months. Respondents will complete follow-up surveys at 6-, 12- and 18-months post-infection., Discussion: These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients., (© 2024. The Author(s).)