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Objectives: To appraise the quality of clinical practice guidelines (CPGs) and expert consensus statements on rehabilitation for patients with COVID-19, summarise recommendations of rehabilitation assessments and interventions and evaluate the heterogeneity of the recommendations., Design: Systematic review., Data Sources: PubMed and Embase databases and five online guideline repositories: The National Guideline Clearinghouse, Guidelines International Network, Scottish Intercollegiate Guidelines Network, National Institute for Health and Clinical Excellence and WHO were searched from their inception to August 2024. In addition, we reviewed reference lists of eligible citations and searched the grey literature on the relevant websites., Eligibility Criteria for Selecting Studies: We included CPGs and expert consensus statements which provided information about rehabilitation of patients with COVID-19. To be eligible, the CPGs and expert consensus statements were issued in English by a nationally or internationally recognised government authority, medical/academic society or organisation. If there were multiple versions of the guidelines, we included the latest one. The translations, interpretations and abstracts of guidelines were excluded., Data Extraction and Synthesis: All recommendations on rehabilitation assessments and interventions for COVID-19 were extracted and summarised. Two reviewers independently evaluated the methodological quality with the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument, and two other reviewers assessed the reporting quality using the Reporting Items for Practice Guidelines in Healthcare (RIGHT) statement of included CPGs and expert consensus statements. We used the Measurement Scale of Rate of Agreement to evaluate the heterogeneity of the recommendations in different CPGs and expert consensus statements., Results: A total of 31 CPGs and expert consensus statements were included. 14 guidelines provided recommendations for rehabilitation assessments. At the early, development, critical and recovery stages of COVID-19, the most frequently recommended were exercise therapy (25.8%, 35.5%, 25.8% and 58.1%, respectively). According to AGREE II, 17 included guidelines were assessed as low methodological quality (35%-56%), 10 guidelines were rated as moderate quality (46%- 62%) and four had high quality (69%-79%). Among 31 eligible guidelines, the reporting rate of 22 items in the RIGHT checklist ranged from 10% to 100%. The included guidelines were consistent with the reference guidelines (80%-100%). Only one guideline existed minor (60%-80%) disagreements in respiratory muscle training relative to the reference guideline., Conclusions: Rehabilitation assessments and interventions should be implemented consistently throughout the entire process of COVID-19. The recommendations should be tailored to each stage of COVID-19. The methodological and reporting qualities of several guidelines remain suboptimal. Therefore, developers should adhere strictly to the AGREE II standard and RIGHT checklist to formulate and publish CPGs and expert consensus statements with high quality., Prospero Registration Number: CRD42020190761., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

COVID-19 has claimed millions of lives since its outbreak in December 2019, and the damage continues, so it is urgent to develop new technologies to aid its diagnosis. However, the state-of-the-art deep learning methods often rely on large-scale labeled data, limiting their clinical application in COVID-19 identification. Recently, capsule networks have achieved highly competitive performance for COVID-19 detection, but they require expensive routing computation or traditional matrix multiplication to deal with the capsule dimensional entanglement. A more lightweight capsule network is developed to effectively address these problems, namely DPDH-CapNet, which aims to enhance the technology of automated diagnosis for COVID-19 chest X-ray images. It adopts depthwise convolution (D), point convolution (P), and dilated convolution (D) to construct a new feature extractor, thus successfully capturing the local and global dependencies of COVID-19 pathological features. Simultaneously, it constructs the classification layer by homogeneous (H) vector capsules with an adaptive, non-iterative, and non-routing mechanism. We conduct experiments on two publicly available combined datasets, including normal, pneumonia, and COVID-19 images. With a limited number of samples, the parameters of the proposed model are reduced by 9x compared to the state-of-the-art capsule network. Moreover, our model has faster convergence speed and better generalization, and its accuracy, precision, recall, and F-measure are improved to 97.99%, 98.05%, 98.02%, and 98.03%, respectively. In addition, experimental results demonstrate that, contrary to the transfer learning method, the proposed model does not require pre-training and a large number of training samples., (© 2023. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)

Purpose: The current research on frontline medical staff in China fighting against COVID-19 has not yet addressed job satisfaction. The purpose of this study is to investigate the job satisfaction of those who were sent to support Hubei province, China, or worked in local designated hospitals, and then analyze the associated influencing factors. Materials and Methods: A total of 455 medical staff who worked at the frontline of the prevention and control of COVID-19 in Hubei province was selected using simple random sampling. They were asked to fill out a self-developed general information questionnaire as well as the Minnesota Satisfaction Questionnaire (MSQ), from 10 January to 10 March 2020. Results: The average job satisfaction score of the participants was 82.58 ± 11.11. The influencing factors include education ( P = 0.002), years of work experience (P = 0.006), anti-epidemic work duration ( P = 0.048), daily sleep duration ( P < 0.001), and the form of participation ( P < 0.001). Conclusions: This study, for the first time, measures the job satisfaction of frontline medical staff in fighting against COVID-19 in China. The job satisfaction of frontline medical staff was at a "relatively decent" level, higher than the previous similar measures among medical staff. Related management departments should further improve the job satisfaction of frontline medical staff by meeting their reasonable demands, strengthening the emergency response and practical operation training of junior staff, and ensuring their ample time for sleep and rest. This study is of great reference value for improving the job satisfaction level of frontline medical staff during public health emergencies, developing medical staff security policies, and promoting the establishment of emergency response teams., (Copyright © 2020 Yu, Zhao, Li, Hu, Xu, Zhao and Huang.)

This study aimed to examine the short-term effects of SARS-CoV-2 infection and return to sport (RTS) on neuromuscular performance, body composition, and mental health in well-trained young kayakers. 17 vaccinated kayakers (8 male, 9 female) underwent body composition assessment, peak power output bench press (BP), and 40-s maximum repetition BP tests 23.9 ± 1.6 days before and 22.5 ± 1.6 days after a SARS-CoV-2 infection. A linear transducer was used to examine the BP performance. The perception of training load and mental health were quantified with Borg's CR-10 scale and the Hooper questionnaire before and after infection. The difference and relationship of variables were used Wilcoxon test, Student t-test, Pearson's, and Spearman's r correlation coefficients. There was a significant increase in body mass, fat-free mass, and skeletal muscle mass, but no significant changes in body fat, fat mass, and all BP performance after infection (p < 0.05). There was a significant reduction in training hours per week, session rating of perceived exertion (sRPE), internal training load (sRPE-TL), fatigue, muscle soreness levels, and Hooper index, but no changes in sleep quality and stress levels after infection (p < 0.05). The training and mental health during the RTS period was significantly correlated (r = −0.85 to 0.70) with physical performance after infection. A SARS-CoV-2 infection did not appear to impair the upper-body neuromuscular performance and mental health of vaccinated well-trained young kayakers after a short-term RTS period. These findings can assist coaches, and medical and club staff when guiding RTS strategies after other acute infections or similar restrictions. [ABSTRACT FROM AUTHOR]

Purpose: To understand the current pandemic, levels of anxiety in frontline staff, and whether they have been using medication to prevent COVID-19. Methods: Between January 10 and March 10, 2020, 290 frontline staff completed a questionnaire incorporating the Generalized Anxiety Disorder Scale 7 (GAD-7) to indicate their psychological behavior in the use of preventive medication. Results: Of those who participated in the study, 77.6% used preventive medication, with 47.5, 40.9, and 11.6% using these as part of routine preventive treatment, to fight infection after it was contracted, and after occupational exposure, respectively. There was a statistically significant relationship between the anxiety scale scores and the frequency of medication use (P < 0.05). Comparative analyses revealed that the scores of those in the group taking medication after occupational exposure (to respiratory and blood-borne pathogens) were significantly different from other groups. The proportion of participants choosing Western medicine, traditional Chinese medicine, and integrated Chinese and Western medicine was 24.4, 28.0, and 47.6%, respectively. Additionally, the relationship between the anxiety scale scores and the three types of medication was statistically significant (P < 0.05), as was the difference between Western medicine and other groups. According to Multinomial logistic regression based on the adjustment to gender, age, educational level, marital status, current workplace, and profession, participants with moderate to severe anxiety, had higher odds (OR = 10.331, 95%CI:1.453–73.429) of using Western medicine than participants with no anxiety. Participants with moderate anxiety were 6.399 times more likely to use an integrated combination of traditional Chinese and Western medicine compared to those with no anxiety (OR = 6.399, 95%CI:1.007–40.658). Furthermore, those with mild anxiety were 2.656 times more likely to use integrated traditional Chinese and Western medicine than those with no anxiety (OR = 2.657, 95%CI:1.075–6.570). The probability that frontline medical staff with moderate anxiety took preventive medication after occupational exposure to COVID-19 was 8.066 times (OR = 8.066, 95%CI:1.043–62.353) higher than that of staff without anxiety. Discussion: This study revealed that there was more anxiety among frontline medical staff who took medication after unexpected occupational exposure. There was less anxiety among those using an integrated course of Chinese and Western medicine than Western medicine alone. It was also observed that anxiety affects the types and frequency of the preventive medication taken. Frontline medical staff who suffer from anxiety are also more likely to use medication to prevent COVID-19. [ABSTRACT FROM AUTHOR]