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BackgroundAbnormal interstitial fluid accumulation remains the major cause for patients with heart failure (HF) to endure a myriad of distressing symptoms and a decline in their health-related quality of life (HRQoL). The lymphatic system is essential in regulating fluid balance within the interstitial compartment and has recently been recognized as an important target for the prevention and mitigation of congestion. This study aimed to investigate the effects of exercises in activating lymphatic system on symptom distress and HRQoL among patients with HF.Methods and resultsThis was a pre-determined, secondary analysis of the TOLF-HF [The-Optimal-Lymph-Flow for Heart Failure (TOLF-HF)] study, a two-arm pilot randomized controlled trial evaluating the preliminary effects of the lymphatic exercise intervention in enhancing interstitial decongestion among patients with HF. Participants were randomized to receive either a four-week TOLF-HF program in addition to standard care or standard care alone. The Chinese version of the Minnesota Living with Heart Failure Questionnaire (MLHFQ) was employed to measure symptom distress and HRQoL before and after the intervention. Data analyses included descriptive statistics, the independent sample t-test, Pearson’s chi-square test, the Mann-Whitney U test, and covariance analysis. Of the 66 patients enrolled, 60 completed the study. The study results exhibited that the TOLF-HF intervention were effective in alleviating both physical and psychological symptom distress. The intervention group yielded significantly lower MLHFQ total scores in comparison to the control group. The odd ratio of achieving meaningful improvement in HRQoL in TOLF-HF group was 2.157 times higher than those in the control group.ConclusionsThe TOLF-HF program focusing on activating lymphatic system was effective in alleviating physical and psychological symptom distress as well as improving HRQoL for patients with HF. The tolerability, feasibility, and effectiveness of the TOLF-HF intervention make it a promising intervention for patients to manage HF.Clinical Trial Registrationhttp://www.chictr.org.cn/index.aspx, identifier (ChiCTR2000039121).

Duming Zhong, Dan Chen, Guangquan Zhang, Shaobai Lin, Runhong Mei, Xuefeng Yu Department of Orthopedics, The Fourth Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of ChinaCorrespondence: Xuefeng Yu; Runhong Mei, Email yxf_1958@sina.com; 1255946311@qq.comBackground: Ewing’s sarcoma (ES) is a common bone cancer in children and adolescents. There are ethnic differences in the incidence and treatment effects. People have made great efforts to clarify the cause; however, the molecular mechanism of ES is still poorly understood.Methods: We download the microarray datasets GSE68776, GSE45544 and GSE17674 from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) of the three datasets were screened and enrichment analysis was performed. STRING and Cytoscape were used to carry out module analysis, building a protein–protein interaction (PPI) network. Finally, a series of analyses such as survival analysis and immune infiltration analysis were performed on the selected genes.Results: A total of 629 differentially expressed genes were screened, including 206 up-regulated genes and 423 down-regulated genes. The pathways and rich-functions of DEGs include protein activation cascade, carbohydrate binding, cell-cell adhesion junctions, mitotic cell cycle, p53 pathway, and cancer pathways. Then, a total of 10 hub genes were screened out. Biological process analysis showed that these genes were mainly enriched in mitotic nuclear division, protein kinase activity, cell division, cell cycle, and protein phosphorylation.Conclusion: Survival analysis and multiple gene comparison analysis showed that CDCA8, MAD2L1 and FANCI may be involved in the occurrence and prognosis of ES. The purpose of our study is to clarify the DEG and key genes, which will help us know more about the molecular mechanisms of ES, provide potential pathway or targets for the diagnosis and treatment.Keywords: Ewing sarcoma, biomarkers, microarray, differentially expressed genes, protein interaction

Abstract A modified Chromium 10x droplet-based protocol that subsamples cells for both short-read and long-read (nanopore) sequencing together with a new computational pipeline (FLAMES) is developed to enable isoform discovery, splicing analysis, and mutation detection in single cells. We identify thousands of unannotated isoforms and find conserved functional modules that are enriched for alternative transcript usage in different cell types and species, including ribosome biogenesis and mRNA splicing. Analysis at the transcript level allows data integration with scATAC-seq on individual promoters, improved correlation with protein expression data, and linked mutations known to confer drug resistance to transcriptome heterogeneity.

Precision health refers to personalized healthcare based on a person’s unique genetic, genomic, or omic composition within the context of lifestyle, social, economic, cultural and environmental influences to help individuals achieve well-being and optimal health. Precision health utilizes big data sets that combine omics (i.e. genomic sequence, protein, metabolite, and microbiome information) with clinical information and health outcomes to optimize disease diagnosis, treatment and prevention specific to each patient. Successful implementation of precision health requires interprofessional collaboration, community outreach efforts, and coordination of care, a mission that nurses are well-positioned to lead. Despite the surge of interest and attention to precision health, most nurses are not well-versed in precision health or its implications for the nursing profession. Based on a critical analysis of literature and expert opinions, this paper provides an overview of precision health and the importance of engaging the nursing profession for its implementation. Other topics reviewed in this paper include big data and omics, information science, integration of family health history in precision health, and nursing omics research in symptom science. The paper concludes with recommendations for nurse leaders in research, education, clinical practice, nursing administration and policy settings for which to develop strategic plans to implement precision health. Keywords: Nurses, Genomics, Omics, Precision medicine, Precision health

Background: The-Optimal-Lymph-Flow (TOLF) intervention aims to promote lymph flow through therapeutic lymphatic exercises to relieve lymphatic pain, swelling, lymphedema symptoms, and to decrease lymph fluid levels among breast cancer survivors. To enhance the efficacy of the TOLF intervention, an innovative, intelligent, Kinect-enhanced lymphatic exercise intervention (Kinect-TOLF) was developed to teach patients to perform the lymphatic exercises correctly. Objectives: This feasibility trial aimed to determine the feasibility, usability, and effects of the Kinect-TOLF on lymphatic pain, swelling, lymphedema symptoms, and lymph fluid levels. Methods: A single-arm feasibility trial with a pre- and post-test design was employed to recruit 30 breast cancer survivors with persistent lymphatic pain or swelling. Patients received a single training session to learn how to perform the lymphatic exercises using the Kinect-TOLF program. Descriptive statistics, Wilcoxon signed-rank tests, t -test, Spearman’s rank correlation coefficients, linear regressions, and Cohen’s d were performed for data analysis. Qualitative data were assessed for common themes. Results: The Kinect-TOLF was effective in training patients to perform the lymphatic exercises correctly with high user satisfaction. Significant reductions were found in scores of lymphatic pain ( Med Δ = −1.00, CI = [−1.5, −0.1], P = .004), arm/hand swelling ( Med Δ = −1.00, CI = [−1.5, −0.5], P = .004), total swelling ( Med Δ = −1.5, CI = [−2.0, −1.0], P = .003), number of lymphedema symptoms ( M Δ = −3.8, CI = [−5.5, −2.1], P

This study explored the association between oral microbes and head and neck cancer (HNC) as well as symptoms related to patients with HNC before surgical treatment. Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic, clinical, and symptom data were collected. Salivary samples were collected to determine the microbial characteristics using 16S rRNA gene sequencing. Patients with HNC presented increased Capnocytophaga abundances. The oral microbial markers as Capnocytophaga (area under the curve=0.81) achieved a high classification power between the HNC patients and healthy controls. Moreover, using Capnocytophaga in conjunction with symptom of voice/speech difficulty achieved an overall predicting accuracy of 92.5% comparing with using Capnocytophaga alone (79.2% accuracy) in distinguishing the HNC patients from healthy controls. Salivary microbial profiles and HNC symptoms may be potential biomarkers for HNC screening.

Using Kinect sensors to monitor and provide feedback to patients performing intervention or rehabilitation exercises is an upcoming trend in healthcare. However, the joint positions measured by the Kinect sensor are often unreliable, especially for joints that are occluded by other parts of the body. Also, users' motion sequences differ significantly even when doing the same exercise and are not temporally aligned, making the evaluation of the correctness of their movement challenging. This paper aims to develop a Kinect-based intervention system, which can guide the users to perform the exercises more effectively. To circumvent the unreliability of the Kinect measurements, we developed a denoising algorithm using a Gaussian Process regression model. We simultaneously capture the joint positions using both a Kinect sensor and a motion capture (MOCAP) system during a training stage and train a Gaussian process regression model to map the noisy Kinect measurements to the more accurate MOCAP measurements. For the sequences alignment issue, we develop a gradient-weighted dynamic time warping approach that can automatically recognize the endpoints of different subsequences from the original user's motion sequence, and furthermore temporally align the subsequences from multiple actors. During a live exercise session, the system applies the same alignment algorithm to a live-captured Kinect sequence to divide it into subsequences, and furthermore compare each subsequence with its corresponding reference subsequence, and generates feedback to the user based on the comparison results. Our results show that the denoised Kinect measurements by the proposed denoising algorithm are more accurate than several benchmark methods and the proposed temporal alignment approach can precisely detect the end of each subsequence in an exercise with very small amount of delay. These methods have been integrated into a prototype system for guiding patients with risks for breast-cancer related lymphedema to perform a set of lymphatic exercises. The system can provide relevant feedback to the patient performing an exercise in real time.

Malignant fungating wounds present in 5–14% of advanced cancer patients in the United States and are a result of cancerous cells infiltrating and proliferating in the skin. Presentation of malignant fungating wounds often occurs in the last 6 months of life and therefore become symbols of impending death for patients and their families. Due to the incurable and severe nature of these wounds, patients require palliative care until death to minimize pain and suffering. Symptoms associated with these chronic wounds include malodor, pain, bleeding, necrosis, large amounts of exudate, increased microbial growth, and more. Limited research using culture-based techniques has been conducted on malignant fungating wounds and therefore no optimal approach to treating these wounds has been established. Despite limited data, associations between the cutaneous microbiome of these wounds and severity of symptoms have been made. The presence of at least one strain of obligate anaerobic bacteria is linked with severe odor and exudate. A concentration of over 105/g bacteria is linked with increased pain and exudate. Bacterial metabolites such as DMTS and putrescine are linked with components of malignant fungating wound odor and degradation of periwound skin. The few but significant associations made between the malignant fungating wound microbiome and severity of symptoms indicate that further study on this topic using 16S rRNA gene sequencing may reveal potential therapeutic targets within the microbiome to significantly improve current methods of treatment used in the palliative care approach.

Palliative care teams are increasingly called up to manage chronic pain in cancer survivors. Chronic pain is common in cancer survivors and is heavily influenced by biopsychosocial factors. This study aimed to determine the relative contribution of unique cancer-specific psychosocial factors, pain catastrophizing, and multisite pain to the pain experience in 41 cancer survivors who completed curative cancer treatment. To test the research hypotheses, a series of nested linear regression models were used with likelihood ratio testing to test the individual and collective contribution of cancer-specific psychosocial factors (fear of cancer recurrence, cancer distress, cancer-related trauma), pain catastrophizing, and the number of pain sites on the pain experience. The results indicate pain catastrophizing and multisite pain explained a significant degree of variance in pain interference scores ( P < .001) and pain severity ( P = .005). Cancer-specific psychosocial factors did not significantly predict variability in pain interference ( P = .313) or pain severity ( P = .668) over and above pain catastrophizing and the number of sites of pain. In summary, pain catastrophizing and multisite pain contribute to the chronic cancer-related pain experienced by cancer survivors. Palliative care nurses are well positioned to improve chronic pain among cancer survivors by assessing and treating pain catastrophizing and multisite pain [ABSTRACT FROM AUTHOR]

Purpose: The-Optimal-Lymph-Flow health IT system (TOLF) is a patient-centered, web-and-mobile-based educational and behavioral health IT system focusing on safe, innovative, and pragmatic self-care strategies for lymphedema symptom management. The purpose of this study was to evaluate usability, feasibility, and acceptability of TOLF among the end-user of breast cancer survivors. Methods: Two types of usability testing were completed with 30 breast cancer survivors: heuristic evaluation and end-user testing. Each participant was asked to think aloud while completing a set of specified tasks designed to explicate and freely explore the system features. A heuristic evaluation checklist, the Perceived Ease of Use and Usefulness Questionnaire, and The Post Study System Usability Questionnaire were used to evaluate usability of the system. Open-ended questions were used to gather qualitative data. Quantitative data were analyzed using descriptive statistics and qualitative data were summarized thematically. Results: Breast cancer survivors were very satisfied with the system: 90% (n = 27) rated the system having no usability problems; 10% (n = 3) noted minor cosmetic problems: spelling errors or text font size. The majority of participants 96.6% (n = 29) strongly agreed that the system was easy to use and effective in helping to learn about lymphedema, symptoms and self-care strategies. Themes from the qualitative data included empowerment, high quality information, loving avatar simulation videos, easy accessibility, and user-friendliness. Conclusions: This usability study provided evidence on breast cancer survivor's acceptance and highly positive evaluation of TOLF's usability as well as feasibility of using technologically-driven delivery model to enhance self-care strategies for lymphedema symptom management.