Home-based cardio-oncology rehabilitation using a telerehabilitation platform in hematological cancer survivors: a feasibility study.

PURPOSE: Cardiovascular disease is a competing mortality cause in hematological cancer survivors due to toxic oncological treatment, accumulation of risk factors, and decline of cardiorespiratory fitness. Cardio-oncology rehabilitation (CORE) is an emerging treatment model to optimize the prognosis of hematological cancer patients and survivors; however, its accessibility during the COVID-19 pandemic is poor. The study aimed to evaluate the feasibility, safety, and effect of a 12-week home-based CORE intervention in telerehabilitation approach among hematological cancer survivors. METHODS: A prospective single-arm interventional study was conducted at a faculty hospital in Brno, Czech Republic. This study provided 12 weeks of the home-based CORE using a telerehabilitation approach that allows remote supervision by a clinician from a medical facility. The telerehabilitation approach consists of three components: a heart rate sensor (PolarM430, Kempele, Finland), a web platform compatible with the sensor, and telesupervising via telephone call (1 call per week). To improve adherence, a physiotherapist called participants to assess or address adverse effects, exercise feedback, and participant-related concerns. The anthropometry, body composition, and cardiorespiratory fitness were measured immediately after the intervention. RESULTS: Eleven hematological cancer survivors with an average age of 60.3 ± 10 years participated in the study. Most participants were diagnosed with Follicular lymphoma and received maintenance treatment. Participants had a significant (p < 0.05) increase in cardiorespiratory fitness by 2.6 ml/kg/min; and in peak workload, from 143.3 ± 60.6 W to 158.6 ± 67.5 W (p < 0.05). Improvement in anthropometry and body composition was observed but yielded no statistical significance. Most (80%) participants completed the three times/per week telesupervising exercise session for 12 weeks.No adverse event was identified. CONCLUSION: Findings from this study suggest that home-based CORE may provide hematological cancer survivors with an increase in CRF during the rehabilitation period after hospital discharge. The telerehabilitation CORE model is effective, feasible, safe, and has demonstrated good adherence. Further randomized controlled efficacy study with larger sample size is needed before clinical implementation. CLINICAL TRIAL REGISTRATION: Clinical trial registration number NCT04822389 (30/03/2021).

Using SPI-Hub™ to Promote the Key Role of Prepublishing in Healthcare.

With the need to quickly advance knowledge dissemination in rapid-paced fields, and more recently in response to the urgency of the COVID-19 pandemic, prepublishing has been brought to the forefront. SPI-Hub™, a publicly available journal selection decision support tool, is being strategically enhanced to address prospective authors' critical needs in navigating and selecting the most appropriate preprint or traditional publication venue.

Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients With Cancer: Real-World Evidence From the National COVID Cohort Collaborative.

PURPOSE: To provide real-world evidence on risks and outcomes of breakthrough COVID-19 infections in vaccinated patients with cancer using the largest national cohort of COVID-19 cases and controls. METHODS: We used the National COVID Cohort Collaborative (N3C) to identify breakthrough infections between December 1, 2020, and May 31, 2021. We included patients partially or fully vaccinated with mRNA COVID-19 vaccines with no prior SARS-CoV-2 infection record. Risks for breakthrough infection and severe outcomes were analyzed using logistic regression. RESULTS: A total of 6,860 breakthrough cases were identified within the N3C-vaccinated population, among whom 1,460 (21.3%) were patients with cancer. Solid tumors and hematologic malignancies had significantly higher risks for breakthrough infection (odds ratios [ORs] = 1.12, 95% CI, 1.01 to 1.23 and 4.64, 95% CI, 3.98 to 5.38) and severe outcomes (ORs = 1.33, 95% CI, 1.09 to 1.62 and 1.45, 95% CI, 1.08 to 1.95) compared with noncancer patients, adjusting for age, sex, race/ethnicity, smoking status, vaccine type, and vaccination date. Compared with solid tumors, hematologic malignancies were at increased risk for breakthrough infections (adjusted OR ranged from 2.07 for lymphoma to 7.25 for lymphoid leukemia). Breakthrough risk was reduced after the second vaccine dose for all cancers (OR = 0.04; 95% CI, 0.04 to 0.05), and for Moderna's mRNA-1273 compared with Pfizer's BNT162b2 vaccine (OR = 0.66; 95% CI, 0.62 to 0.70), particularly in patients with multiple myeloma (OR = 0.35; 95% CI, 0.15 to 0.72). Medications with major immunosuppressive effects and bone marrow transplantation were strongly associated with breakthrough risk among the vaccinated population. CONCLUSION: Real-world evidence shows that patients with cancer, especially hematologic malignancies, are at higher risk for developing breakthrough infections and severe outcomes. Patients with vaccination were at markedly decreased risk for breakthrough infections. Further work is needed to assess boosters and new SARS-CoV-2 variants.

Correction: A smartphone-based three-in-one biosensor for co-detection of SARS-CoV-2 viral RNA, antigen and antibody.

Correction for 'A smartphone-based three-in-one biosensor for co-detection of SARS-CoV-2 viral RNA, antigen and antibody' by Yanzhi Dou et al., Chem. Commun., 2022, DOI: https://doi.org/10.1039/d2cc01297a.

The mediating effect of psychological capital on the relationship between psychological stress and distress among chinese nursing students: a cross-sectional study.

BACKGROUND: With the COVID-19 outbreak in China, the Chinese government took measures to prevent and control the spread of the virus. In-person teaching was replaced by distance learning, which was an unknown challenge for students. In this context, little is known about the perceived distress of nursing students and the relationship between psychological capital, perceived distress, and psychological stress. This study examined the relationship between psychological capital, psychological distress, and perceived stress, and the mediating role of psychological capital in the relationship between perceived stress and psychological distress among nursing students. METHODS: This cross-sectional survey was conducted between January and December 2020 using a convenience sampling method involving 359 undergraduate and specialist nursing students at a tertiary hospital in Shandong Province. Standardised instruments were used to measure psychological capital, psychological stress, and perceived stress. We used SPSS 24.0 and PROCESS macro to analyse the data. RESULTS: There was a statistically significant difference in perceived stress among students based on whether they liked the nursing profession (P < 0.01). Relative to nursing college students, undergraduates experienced significantly higher levels of perceived stress (P < 0.01). Nevertheless, there were no significant differences in perceived stress according to gender, place of residence, and being an only child. Psychological distress was positively correlated (r = 0.632, p < 0.001) with perceived stress (r =-0.662, p < 0.001), whereas it was negatively correlated with psychological capital. Psychological capital played a potential mediating role in the relationship between psychological distress and perceived stress. CONCLUSIONS: Psychological distress was negatively correlated with psychological capital, and positively correlated with perceived stress. Mediation analyses indicated that psychological capital partially mediated the relationship between perceived stress and psychological distress. Educators should therefore heed students' perceived stress and develop appropriate mental health counselling programmes for students in the curriculum that could help them reduce their psychological distress. In clinical practice, nursing managers must take effective measures, such as skills training, to improve the psychological capital of nursing students and reduce the negative impact of their psychological distress.

A smartphone-based three-in-one biosensor for co-detection of SARS-CoV-2 viral RNA, antigen and antibody.

Rapid and comprehensive diagnostic methods are necessary for early identification and monitoring of SARS-CoV-2. Here, we have developed a universal and portable three-in-one biosensor linked to a smartphone for co-detection of SARS-CoV-2 viral RNA, antigen, and antibody. In combination with a smartphone, the online monitoring of SARS-CoV-2 virus-infected patients from infection to immunization could be intelligently achieved.

Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture.

COVID-19 is a contagious infection that has severe effects on the global economy and our daily life. Accurate diagnosis of COVID-19 is of importance for consultants, patients, and radiologists. In this study, we use the deep learning network AlexNet as the backbone, and enhance it with the following two aspects: 1) adding batch normalization to help accelerate the training, reducing the internal covariance shift; 2) replacing the fully connected layer in AlexNet with three classifiers: SNN, ELM, and RVFL. Therefore, we have three novel models from the deep COVID network (DC-Net) framework, which are named DC-Net-S, DC-Net-E, and DC-Net-R, respectively. After comparison, we find the proposed DC-Net-R achieves an average accuracy of 90.91% on a private dataset (available upon email request) comprising of 296 images while the specificity reaches 96.13%, and has the best performance among all three proposed classifiers. In addition, we show that our DC-Net-R also performs much better than other existing algorithms in the literature. Supplementary Information: The online version contains supplementary material available at 10.1007/s11390-020-0679-8.

Unwillingness or reluctance of Palestinians to get the COVID-19 vaccine: the reasons behind it and how to persuade them.

OBJECTIVES: A brief discussion with policy leaders and citizens was conducted to understand the unwillingness of people to get the COVID-19 vaccine and their suggestions to increase the vaccination level. BACKGROUND: Despite the crucial benefits of the COVID-19 vaccine, people are unwilling to get vaccinated. Vaccine hesitancy is a significant problem globally. In Palestine, at the time of this study only about 30% of the population were vaccinated. METHODS: We used a descriptive qualitative design with semistructured interviews. DISCUSSION: The unwillingness of Palestinian people to get the COVID-19 vaccine was attributed to the spread of false rumours, misinformation, and conspiracy theories they received about the vaccine on the social media and mistrust towards vaccines the government purchased. There is a dire need to develop motivational strategies (i.e., incentives) and reconsider the media discourse and its unification to encourage people to get the vaccines. Social media and professionals should report the benefits/effectiveness of vaccination and avoid exaggerating its' side-effects.

Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C).

PURPOSE: Variation in risk of adverse clinical outcomes in patients with cancer and COVID-19 has been reported from relatively small cohorts. The NCATS' National COVID Cohort Collaborative (N3C) is a centralized data resource representing the largest multicenter cohort of COVID-19 cases and controls nationwide. We aimed to construct and characterize the cancer cohort within N3C and identify risk factors for all-cause mortality from COVID-19. METHODS: We used 4,382,085 patients from 50 US medical centers to construct a cohort of patients with cancer. We restricted analyses to adults ≥ 18 years old with a COVID-19-positive or COVID-19-negative diagnosis between January 1, 2020, and March 25, 2021. We followed N3C selection of an index encounter per patient for analyses. All analyses were performed in the N3C Data Enclave Palantir platform. RESULTS: A total of 398,579 adult patients with cancer were identified from the N3C cohort; 63,413 (15.9%) were COVID-19-positive. Most common represented cancers were skin (13.8%), breast (13.7%), prostate (10.6%), hematologic (10.5%), and GI cancers (10%). COVID-19 positivity was significantly associated with increased risk of all-cause mortality (hazard ratio, 1.20; 95% CI, 1.15 to 1.24). Among COVID-19-positive patients, age ≥ 65 years, male gender, Southern or Western US residence, an adjusted Charlson Comorbidity Index score ≥ 4, hematologic malignancy, multitumor sites, and recent cytotoxic therapy were associated with increased risk of all-cause mortality. Patients who received recent immunotherapies or targeted therapies did not have higher risk of overall mortality. CONCLUSION: Using N3C, we assembled the largest nationally representative cohort of patients with cancer and COVID-19 to date. We identified demographic and clinical factors associated with increased all-cause mortality in patients with cancer. Full characterization of the cohort will provide further insights into the effects of COVID-19 on cancer outcomes and the ability to continue specific cancer treatments.

Social Bots' Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter.

During the COVID-19 pandemic, when individuals were confronted with social distancing, social media served as a significant platform for expressing feelings and seeking emotional support. However, a group of automated actors known as social bots have been found to coexist with human users in discussions regarding the coronavirus crisis, which may pose threats to public health. To figure out how these actors distorted public opinion and sentiment expressions in the outbreak, this study selected three critical timepoints in the development of the pandemic and conducted a topic-based sentiment analysis for bot-generated and human-generated tweets. The findings show that suspected social bots contributed to as much as 9.27% of COVID-19 discussions on Twitter. Social bots and humans shared a similar trend on sentiment polarity-positive or negative-for almost all topics. For the most negative topics, social bots were even more negative than humans. Their sentiment expressions were weaker than those of humans for most topics, except for COVID-19 in the US and the healthcare system. In most cases, social bots were more likely to actively amplify humans' emotions, rather than to trigger humans' amplification. In discussions of COVID-19 in the US, social bots managed to trigger bot-to-human anger transmission. Although these automated accounts expressed more sadness towards health risks, they failed to pass sadness to humans.

A New Technique for Diagnosis of Dental Caries on the Children's First Permanent Molar

The current researches have been shown high prevalence and incidence of children's teeth caries, especially for the first permanent molar, which might do a lot of harm to their general health. Fortunately, early detection and protection can reduce the difficulty of treatment and protect children's oral health. However, traditional diagnostic methods such as dentist's visual inspection and radiographic imaging diagnosis are non-automatic and time-consuming. Given the COVID-19 epidemic, these methods should not be taken into consideration, since they fail to practice social distancing and further increase the risk of infection. To address these issues, in this paper we propose a novel caries detection and assessment (UCDA) framework to achieve a new technique for fully-automated diagnosis of dental caries on the children's first permanent molar. Inspired by an efficient in-network feature pyramid and anchor boxes, the proposed UCDA framework mainly contains a backbone network that is initialized with ResNet-FPN, and two parallel task-specific subnetworks for region regression and region classification. Due to the lack of the image database, we also present a novel children's oral image database, namely "Child-OID", which comprises 1, 368 primary school children's oral images with standard diagnostic annotations and labels, to evaluate the effectiveness of our UCDA method. Experiments on the Child-OID database demonstrate that commonly occurring caries on the first permanent molar can be more accurately detected via the proposed UCDA framework. Database and code are available at https://github.com/GipinLinn/UCDA-and-Child-OID.git.

Antiviral therapy for coronavirus disease 2019. / 2019å† çŠ¶ç— æ¯’ç— çš„æŠ—ç— æ¯’æ²»ç–—.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the outbreak of coronavirus disease 2019 in Wuhan City, China. The SARS-CoV-2 is genetically similar to the coronavirus derived from bat. The SARS-CoV-2, the SARS-CoV and the Middle East respiratory syndrome coronavirus (MERS-CoV) all belong to beta coronavirus. Since the outbreak of the coronavirus disease 2019, effective antiviral drugs have become a hot issue in the world. Very little about SARS-CoV-2 is known and there is no precedent for treatment. The National Health Commission has repeatedly revised the diagnosis and treatment guide for the coronavirus disease 2019. The latest guide is "New Coronary Virus-Infected Pneumonia Diagnosis and Treatment Plan (Seventh Trial Version)"(short for Seventh Version of Diagnosis and Treatment Plan). But the use of antiviral drugs is still on trial and no rigorous clinical trials data is available. Hot anti-SARS-CoV-2 drugs include interferon α, ribavirin, lopinavir/ritonavir, chloroquine phosphate, abidol, as well as hydroxychloroquine sulfate and remdesivir. But the later 2 drugs aren't mentioned in the Seventh Version of Diagnosis and Treatment Plan.