70 research outputs found

    Ambulation capacity, age, immunosuppression, and mechanical ventilation are risk factors of in-hospital death in severe COVID-19: a cohort study

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    Importance: Despite ambulation capacity being associated with a decreased level of physical activity and survival may be influenced by the functional capacity, studies have not addressed the association between ambulation capacity and death in patients hospitalized by COVID-19. Objective: To verify the functional, clinical, and sociodemographic risk factors associated with in-hospital death in individuals with severe COVID-19. Methods: It is a cohort retrospective study performed at a large tertiary hospital. Patients 18 years of age or more, of both sexes, hospitalized due to severe COVID-19 were included. Cases with dubious medical records and/or missing essential data were excluded. Patients were classified according to their ambulation capacity before the COVID-19 infection. Information regarding sociodemographic characteristics, in-hospital death, total hospital stays, Intensive Care Unit (ICU) stays, and the necessity of Mechanical Ventilation (MV) were collected from medical records and registered in a RedCap database. Multiple logistic regression analysis was used to identify possible factors associated with the in-hospital death rate. Results: Data from 1110 participants were included in the statistical analysis. The median age of the patients was 57 (46‒66) years, 58.42% (n = 590) were male, and 61.73% (n = 602) were brown or black. The case fatality rate during hospitalization was 36.0% (n = 363). In-hospital death was associated with ambulation capacity; dependent ambulators (OR = 2.3; CI 95% = 1.2–4.4) and non-functional ambulation (OR = 1.9; CI 95% = 1.1–3.3), age [older adults (OR = 3.0; CI 95% = 1.9‒4.), ICU stays (OR = 1.4; CI 95% = 1.2‒1.4), immunosuppression (OR = 5.5 CI 95% = 2.3‒13.5) and mechanical ventilation (OR = 27.5; CI 95% = 12.0–62.9). Conclusion and relevance: Decreased ambulation capacity, age, length of ICU stay, immunosuppression, and mechanical ventilation was associated with a high risk of in-hospital death due to COVID-19

    Physical and pulmonary capacities of individuals with severe coronavirus disease after hospital discharge: A preliminary cross-sectional study based on cluster analysis

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    OBJECTIVE: This study aimed to analyze the physical and pulmonary capacities of hospitalized patients with severe coronavirus disease and its correlation with the time of hospitalization and complications involved. METHODS: A total of 54 patients, aged ≄18 years of both sexes, were evaluated 2-4 months after hospital discharge in SĂŁo Paulo, Brazil. The physical characteristics analyzed were muscle strength, balance, flexibility, and pulmonary function. The K-means cluster algorithm was used to identify patients with similar physical and pulmonary capacities, related to the time of hospitalization. RESULTS: Two clusters were derived using the K-means algorithm. Patients allocated in cluster 1 had fewer days of hospitalization, intensive care, and intubation than those in cluster 2, which reflected a better physical performance, strength, balance, and pulmonary condition, even 2-4 months after discharge. Days of hospitalization were inversely related to muscle strength, physical performance, and lung function: hand grip D (r=−0.28, p=0.04), Short Physical Performance Battery score (r=−0.28, p=0.03), and forced vital capacity (r=−0.29, p=0.03). CONCLUSION: Patients with a longer hospitalization time and complications progressed with greater loss of physical and pulmonary capacities

    GEOPROCESSAMENTO E GESTÃO PÚBLICA: UMA ANÁLISE SOCIOAMBIENTAL DOS CASOS DE DENGUE EM BELÉM (PA)

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    A dengue Ă© a arbovirose mais difundida no mundo com alto potencial de desenvolvimento em regiĂ”es de clima tropical. Este trabalho objetivou analisar a distribuição espacial e ambiental dos casos de dengue, nos anos de 2015 e 2016 em BelĂ©m (PA). Para isso, foi realizada uma pesquisa documental, bibliogrĂĄfica, de cunho exploratĂłrio, descritivo e abordagem quantitativa. Neste contexto, a ĂĄrea de estudo correspondeu ao municĂ­pio de BelĂ©m, estado do ParĂĄ. Vale destacar que os dados secundĂĄrios foram obtidos do SINAN, do MinistĂ©rio da SaĂșde, IBGE e USGS; jĂĄ os dados primĂĄrios foram adquiridos mediante a realização do georreferenciamento em lote pelo Batchcoordinatese Google Maps. Os dados foram depurados no Microsoft Excel e importados para o Banco de Dados GeogrĂĄfico (BDGeo), em seguida, os mapas foram produzidos no software ArcGis Desktop 10.3. Foram georreferenciados 1440 casos de dengue. Notou-se que esses casos sĂŁo pertinentes as ĂĄreas urbanizadas e estĂŁo intimamente relacionados Ă  precariedade das habitaçÔes e do saneamento ambiental existente em BelĂ©m. AtravĂ©s de anĂĄlise espacial (tĂ©cnica de Kernel), observou-se que as aglomeraçÔes dos casos estĂŁo evidenciadas nos distritos DABEL, DAGUA e DASAC. A população mais atingida foi referente Ă s faixas de escolaridade com nĂ­veis mais elevados e pertencentes ao sexo feminino. Dessa forma, a aplicação das ferramentas de geoprocessamento foram fundamentais para as anĂĄlises associadas Ă  epidemiologia da dengue no municĂ­pio, pois foi possĂ­vel identificar as ĂĄreas de risco e realizar a distribuição espacial do agravo, permitindo assim mecanismos de controle e monitoramento da doença

    eHealth in Geriatric Rehabilitation: An International Survey of the Experiences and Needs of Healthcare Professionals.

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    While eHealth can help improve outcomes for older patients receiving geriatric rehabilitation, the implementation and integration of eHealth is often complex and time-consuming. To use eHealth effectively in geriatric rehabilitation, it is essential to understand the experiences and needs of healthcare professionals. In this international multicentre cross-sectional study, we used a web-based survey to explore the use, benefits, feasibility and usability of eHealth in geriatric rehabilitation settings, together with the needs of working healthcare professionals. Descriptive statistics were used to summarize quantitative findings. The survey was completed by 513 healthcare professionals from 16 countries. Over half had experience with eHealth, although very few (52 of 263 = 20%) integrated eHealth into daily practice. Important barriers to the use or implementation of eHealth included insufficient resources, lack of an organization-wide implementation strategy and lack of knowledge. Professionals felt that eHealth is more complex for patients than for themselves, and also expressed a need for reliable information concerning available eHealth interventions and their applications. While eHealth has clear benefits, important barriers hinder successful implementation and integration into healthcare. Tailored implementation strategies and reliable information on effective eHealth applications are needed to overcome these barriers

    Selection of the solvent and extraction conditions for maximum recovery of antioxidant phenolic compounds from coffee silverskin

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    The extraction of antioxidant phenolic compounds from coffee silverskin (CS) was studied. Firstly, the effect of different solvents (methanol, ethanol, acetone, and distilled water) on the production of antioxidant extracts was evaluated. All the extracts showed antioxidant activity (FRAP and DPPH assays), but those obtained with methanol and ethanol had significantly higher (p < 0.05) DPPH inhibition than the remaining ones. Due to the lower toxicity, ethanol was selected as extraction solvent, and further experiments were performed in order to define the solvent concentration, solvent/solid ratio, and time to maximize the extraction results. The best condition to produce an extract with high content of phenolic compounds (13 mg gallic acid equivalents/g CS) and antioxidant activity [DPPH = 18.24 ÎŒmol Trolox equivalents/g CS and FRAP = 0.83 mmol Fe(II)/g CS] was achieved when using 60 % ethanol in a ratio of 35 ml/g CS, during 30 min at 60–65 °C.This work was supported by the Portuguese Foundation for Science and Technology (FCT). The authors gratefully acknowledge Teresa Conde, student of Biological Engineering, for the help and interest in this work
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