Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is a standard instrument regularly used to assess disease activity of patients with ankylosing spondylitis (AS). However, the well-being of a patient is also affected by impairment of function as well as psychological status and other factors. The objective of this study was to evaluate if psychological status, stressful life events, and sleep quality contribute significantly to BASDAI. Six hundred eighty-three AS patients satisfying the Modified New York Criteria for AS were recruited from the rheumatology clinics of seven hospitals in China. Patients with other concomitant disorders were excluded. Participants were requested to complete a set of clinical examinations and the following questionnaires: Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Zung Self-Rating Anxiety Scale (SAS), Zung Self-Rating Depression Scale (SDS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Health Assessment Questionnaire for Spondyloarthropathies (HAQ-S), and Social Readjustment Rating Scale (SRRS). Spearman correlation analysis showed that BASDAI was highly associated with degree and duration of morning stiffness, overall pain, nocturnal back pain, overall back pain, anxiety, and BASFI (all P < 0.001), but were not associated with education, HAQ-S, and sleep medication in PSQI (P > 0.05). Multiple stepwise regression analysis indicated that overall pain was the maximal statistical contribution in predicting disease activity (standardized coefficient, 0.335). In hierarchic multiple regression analysis, psychological variables added an only additional 2.7% to the overall R(2) beyond that accounted for by demographic and medical variables, resulting in a final R(2) of 53.5%. Although BASDAI is a very good measurement of pain and stiffness and to a certain extent effect of functional impairment in AS, it barely takes into account psychological status, stress life events, and sleep quality These factors should be evaluated by other modalities.
Patient: Male, 24Final Diagnosis: Subcutaneous panniculitis-like T-cell lymphomaSymptoms: Fever • skin nodulesMedication: —Clinical Procedure: Skin biopsy • PET-CTSpecialty: HematologyObjective:Rare diseaseBackground:Subcutaneous panniculitis-like T cell lymphoma is a very uncommon subtype of cutaneous T cell lymphoma. The manifestations of this rare disease are atypical at onset, and may mimic some rheumatic or dermatologic diseases, which causes the delay of diagnosis and treatment.Case Report:We report a 24-year-old man suffering from intermittent fever and skin nodules on the left anterior chest wall, who was initially misdiagnosed with nodular panniculitis and finally diagnosed with subcutaneous panniculitis-like T cell lymphoma through repeat examination of biopsy of the skin nodule. Positron emission tomography revealed extracutaneous adipose tissue involvement. Subsequently, hemophagocytic syndrome occurred while under a conventional dose of glucocorticoid, but remission was induced by treatment with cyclosporine A and high doses of dexamethasone.Conclusions:In order to avoid the delay diagnosis and inappropriate treatment of subcutaneous panniculitis-like T cell lymphoma, in addition to a thorough physical examination, PET-CT and disease-specific pathologic, immunophenotypic, and T cell receptor tests of the skin biopsy should be performed. Extracutaneous involvement, especially hemophagocytic syndrome, indicated worse prognosis. Even so, cyclosporine A plus high-dose corticosteroid could be an option of treatment.
Background An outbreak of coronavirus disease 2019 (COVID-19) started in December, 2019. The epicentre, Wuhan in Hubei Province, was in lockdown. From Jan 23, 2020, most hospitals in Wuhan only focused on patients with COVID-19, and patients with chronic diseases could not visit their physicians in clinic and had no access to prescriptions. Smart System of Disease Management (SSDM) is a series of mobile applications for chronic disease management that includes both patient and physician interfaces. After training in clinic, patients regularly do a disease activity assessment, and input data from lab tests as well as their medication. The data is then synchronised to the mobile of the responsible physician. The physician can then do an online consultation and renew prescriptions on the basis of real-time data from his or her patients. We aimed to establish the feasibility and effects of SSDM in maintaining effective interactions between patients and physicians in Hubei province during the COVID-19 epidemic period. Methods Based on the SSDM database, we did a multicentre retrospective cohort study of patients with rheumatic disease in Hubei province in China. SSDM had been widely used across China since 2015. To study the influence of interruption of routine care by the COVID-19 epidemic for patients with rheumatic disease, we included patients registered with SSDM from Hubei Province. Data on patient disease activities, online consultations, and prescription refilling, as well as surveys on satisfaction about the online service were extracted from Jan 23, 2020 to Feb 27, 2020, acting as the study group, and data from the same period during 2018 and 2019 were also extracted as a control. Inclusion criteria included a confirmed diagnosis of rheumatic disease and disease duration of at least 3 months. Patients were excluded from the study if they declined participation or discontinued before completion of the survey. For patients with rheumatoid arthritis, achieving a disease activity score with 28 joints (DAS28) of less than 3•2 was considered to be a treat-to-target (T2T) status. For patients with systemic lupus erythematosus, a disease activity index-2000 (SLESAI-2K) score of less than 4 was the main target of the lupus low disease-activity state (LLDAS). We compared the T2T and LLDAS prevalence during the epidemic period of 2020 with that of 2018 and 2019. All statistical analyses were done with Python version 3.7.4. We used descriptive and frequency statistics (percentage) to describe baseline demographic information and clinical information. Comparison of ratio variables between two groups was done with a χ 2 test. Findings By Feb 27, 2020, a total of 173 560 adult patients (46 861 [27%] men and 126 699 [73%] women) with rheumatic disease from 860 hospitals across China registered and routinely used SSDM since 2015. Patients were encouraged to upload their data and do a disease activity self-assessment every 1-3 months. 10 441 (6%) of 173 560 patients (3237 [31%] with rheumatoid arthritis and 1566 [15%] with sy...
In order to establish stable high expression cell lines, the eukaryotic expression vector pIRES2EGFP and recombinant plasmid pIRES2EGFP-TIM-3 were transfected into mammalian cells CHO by Lipofectamine. The transfected cells were cultivated under selective growth medium including G418 and green fluorescent protein (GFP) positive cells were sorted by FACS. Simultaneously, growing transfectants were selected only by G418 in the medium. The GFP expression in stably transfected cells was detected by FACS. Under selective growth conditions with G418, the percentage of GFP positive cells was reduced rapidly and GFP induction was low. In contrast, the percentages of GFP positive cells were increased gradually after FACS. By 3 rounds of GFP selection, the stable high expression cell lines were established. Furthermore, using FACS analysis GFP and the target protein TIM-3 co-expression in the stable transfectants cultured in nonselective medium was detected. Theses results demonstrated that the stably transfected cell lines that express high titer of recombinant protein can be simply and fleetly obtained by using GFP and selective growth medium.
The development of information technology has been deployed in almost all sectors and is making life easier. In this development, the sports sector has seen tremendous expansion. In traditional table tennis training, the coach and the players have to meet daily to take appropriate training for the game. This process is time-consuming in a complex environment, and it will have a significant impact on the reformation and development of table tennis training. The utilization of improved technologies can overcome this challenge by performing training of the game online with an intelligent wireless system with advanced training mechanisms. Carrying the traditional and heavier intelligent wireless devices will be difficult for the players. In this research, the fine-grained evaluation (FGE) system is incorporated into the deep learning model to analyze the player’s body postures during the training and event sessions and make them develop after each session through online training in any circumstance. The proposed FGE was compared with the traditional statistical model, and it was observed that the proposed FGE had obtained higher precision and recall values of 70% and 98.9% than the statistical model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.