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The increasing number of coronavirus disease 2019 (COVID-19) infections have highlighted the long-term consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection called long COVID. Although the concept and definition of long COVID are described differently across countries and institutions, there is general agreement that it affects multiple systems, including the immune, respiratory, cardiovascular, gastrointestinal, neuropsychological, musculoskeletal, and other systems. This review aims to provide a synthesis of published epidemiology, symptoms, and risk factors of long COVID. We also summarize potential pathophysiological mechanisms and biomarkers for precise prevention, early diagnosis, and accurate treatment of long COVID. Furthermore, we suggest evidence-based guidelines for the comprehensive evaluation and management of long COVID, involving treatment, health systems, health finance, public attitudes, and international cooperation, which is proposed to improve the treatment strategies, preventive measures, and public health policy making of long COVID.
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COVID-19 , Humanos , SARS-CoV-2 , Síndrome de COVID-19 Pós-Aguda , Fatores de RiscoRESUMO
Objective: This study was carried out to investigate the role and necessity of human body composition analysis in assessing the nutritional status of initially diagnosed Crohn's disease (CD) patients. Methods: A total of 47 initially diagnosed CD patients were recruited. The skeletal muscle mass index (SMI), fat-free mass index (FFMI), body fat mass, body fat percent, visceral fat area (VFA), and body cell mass were determined with the Biospace Inbody S10 composition analyzer. Results: In 47 patients with initially diagnosed CD, SMI could determine the muscular mass reduction that could not be determined by the body mass index (BMI) (35.3%), albumin (ALB) (65.6%), nutrition risk screening (NRS)2002 (25.0%), and Patient-Generated Subjective Global Assessment (PG-SGA) (55.6%). FFMI could determine the malnutrition that could not be determined by the BMI (58.8%), albumin (90.6%), NRS2002 (50.0%), and PG-SGA (55.6%). VFA in the fistulizing CD patients was significantly higher than in the stricturing and non-fistulizing, non-stricturing patients (P < 0.05). SMI and BMI had the same performance (P = 1.000) and general consistence (Kappa = 0.487, P = 0.001) in the assessment of malnutrition; SMI and ALB had different performance (P < 0.001) and inconsistence was noted (Kappa = 0.069, P = 0.489) in the assessment of malnutrition; the results of the nutrition assessment were different between SMI and NRS2002 (P = 0.002), and inconsistence was observed (Kappa = 0.190, P = 0.071). SMI and PG-SGA had the same performance in the assessment of nutrition (P = 0.143), but there was inconsistence (Kappa = 0.099, P = 0.464). FFMI and BMI had general consistence in the assessment of malnutrition (Kappa = 0.472, P < 0.001), but the positive rate determined by FFMI (85.1%) was markedly higher than that by BMI (63.8%) (P = 0.002). FFMI and ALB had different performance in the assessment of malnutrition (P < 0.001) and there was inconsistence (Kappa = -0.008, P = 0.877). FFMI and NRS2002 had the same performance in the assessment of malnutrition (P = 0.453), but the consistence was poor (Kappa = 0.286, P = 0.039). The results determined by SMI and PG-SGA were consistent (P = 0.727), but the consistence was poor (Kappa = 0.399, P = 0.006). Conclusion: Human body composition analysis can identify the patients with muscular mass reduction that cannot be identified by commonly used nutrition assessment scales/parameters. Thus, it is helpful for the assessment of disease severity and also important for the nutrition assessment in CD patients.
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Green hospital construction is a new challenge for medical industry after global sustainable development strategy was put forward. The core connotation of green hospital includes green building, green healthcare, patient safety, and doctor-patient harmony. Many countries have established green building evaluation system to deal with energy crisis. Leadership in Energy and Environmental Design (LEED), Green Guide for Health Care (GGHC) in the U.S., and Evaluation System for Green Hospital Building (CSUS/GBC 2-2011) in China have guiding significance for the development of green hospitals in China. The evaluation system of green hospitals home and abroad still focuses on green building, and establishment of suitable synthesis evaluation system of green hospitals in China needs further research.
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Química Verde , Hospitais , China , Atenção à Saúde , Necessidades e Demandas de Serviços de Saúde , Humanos , LiderançaRESUMO
OBJECTIVE: To evaluate the rationality and validity of weighted TOPSIS method and weighted RSR method to evaluate drug supervision and supply networks construction in rural areas of Hunan . METHODS: Data of drug network construction in rural Hunan in 2010 were used to establish a comprehensive evaluation model, and weighted TOPSIS and RSR method were applied to this model and the results of which were compared to that of synthetical scored method to examine the validity. RESULTS: A comprehensive evaluation model was established, comprising of 3 primary indices, 8 secondary indices and 56 tertiary ones. The result of weighted RSR method was highly correlated to that of synthetical scored method, yet the result of TOPSIS was less correlated to the formers. All correlations were significant (P<0.01). CONCLUSION: Both weighted RSR and TOPSIS are not perfect methods, but the application of the methods in drug network evaluation is scientific and effective.