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The implications of somatic symptom disorder on the impairment of daily life are greater in post-COVID syndrome than in asthma or COPD - results of a cross-sectional study in a rehabilitation clinic
Abstract The aim was to compare the relationship between somatic symptom disorder (SSD), anxiety, depression, clinical symptoms, and daily life impairment (DLI) in post-COVID syndrome (PCS), asthma and chronic obstructive pulmonary disease (COPD). In a cross-sectional study, 371 patients (161 PCS, 121 asthma, 89 COPD) of a pulmonary rehabilitation clinic received the questionnaires PHQ-15 (Patient Health Questionnaire-15) and SSD-12 (Somatic Symptom Disorder-12) to determine SSD, GAD-7 (Generalized Anxiety Disorder-7) to determine anxiety disorder, and PHQ-9 (Patient Health Questionnaire-9) to determine depression. Lung function was estimated using whole-body plethysmography. Predictors for DLI were assessed by regression models and ROC analyses. Association of SSD with DLI was stronger in PCS (odds ratio 13.8; 95% confidence interval 1.7-109.9) than in asthma (8.5; 2.4–30.1), and was not significant in COPD (1.9; 0.5–7.5). In asthma and COPD, strongest predictors were GAD-7 (15.0; 1.9-116.8) and PHQ-9 (8.9; 1.1–71.8), respectively. Diffusion capacity was predictive in COPD (0.947; 0.916–0.979) and asthma (0.967; 0.943–0.993), but not in PCS. To conclude, SSD appears to have greater impact on DLI in PCS than asthma or COPD patients. This should be recognized appropriately during rehabilitation. Furthermore, increased psychological comorbidity should also be considered and adequately treated in asthma and COPD if necessary.
A holistic assessment of water resources and management in the Zarrineh river sub basin using water accounting plus
Efficacy of gemcitabine plus nab-paclitaxel in second-line treatment of metastatic pancreatic cancer
Strategic placement of alternative fueling stations in the UAE
Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy
Establishing a clinical prediction model for diabetic foot ulcers in type 2 diabetic patients with lower extremity arteriosclerotic occlusion using machine learning
Development and deployment of a functional 3D-bioprinted blood vessel
Abstract Creating vascular structures in vitro via bioprinting to replace damaged or missing vasculature has significant advantages over current surgical methods of vessel replacement. Using rat fibroblasts and smooth muscle cells, we have bioprinted a rat aorta using a rotating mandrel method to create the tubular replacement structure. Then, the 3D-bioprinted aortas were implanted into rats to determine their functionality long-term in vivo. The implanted vascular conduits were well-tolerated, well-incorporated into native vasculature, and showed the physiological behavior of a native vessel. The development and deployment of 3D-bioprinted vessels for repair of large vessels in an animal model paves the way for advancements in the treatment of vascular disease in humans.
Emergence of highly virulent multidrug and extensively drug resistant Escherichia coli and Klebsiella pneumoniae in buffalo subclinical mastitis cases
Prognostic significance of clinicopathological and ultrasonographic features in anaplastic thyroid carcinoma beyond TERT promoter mutation
Dissolved load, chemical weathering, and CO2 uptake dynamics of small tropical mountainous rivers of Southern Granulite Terrain, Karamana and Vamanpuram, Western Ghats, India
Nutritional value antioxidant strength and antimicrobial efficacy of fig pastes from eastern morocco
Selection of optimal human myoblasts based on patient related factors influencing proliferation and differentiation capacity
Abstract Human myoblasts (hMb) are a promising source for engineering skeletal muscle tissue. But sample-specific variabilities make research with human cells challenging. For the purpose of selecting hMb with adequate proliferation and differentiation properties, the influence of various patient related factors, including age, gender, BMI, anatomical sampling site and previous radio-/chemotherapy on hMb behavior was investigated in this study. Immunofluorescence staining and proliferation periods were analysed for proliferation capacity, while creatine kinase and cell viability assay, immunofluorescence staining and PCR were used to determine differentiation capacity. Using desmin expression, a multiple linear regression (MLR) model was established based on the above-mentioned patient related factors. Higher age and BMI, female gender and chemotherapy had a negative impact on desmin expression. Muscle type specific differences could also be seen. Previous radiotherapy led to senescence of hMb in large parts. Differentiation was mainly influenced by gender in a time-dependent manner, as well as by the anatomical collecting site. We were able to demonstrate the importance of analyzing patient characteristics for the purpose of hMb isolation. Using MLR, these patient characteristics can be used to predict the proliferation capacity of hMb as a step further towards translational application of skeletal muscle engineering and regeneration.
The mediating role of intrinsic capacity in balance and falls among older adults
Trends in prevalence of spine fractures and risk factors in spine fractures among US adults, 1999–2018
Dietary patterns derived by Gaussian graphical models and metabolic profiles among overweight and obese individuals
A transfer triage tool for COVID-19 mass critical care surges
The association between loneliness, suicidal ideation, and psychological distress considering family compositions: a cross-sectional study in a Japanese rural area
Federated deep reinforcement learning-based urban traffic signal optimal control
Terahertz microscopy through complex media
Abstract Manipulating broadband fields in scattering media is a modern challenge across photonics and other wave domains. Recent studies have shown that complex propagation in scattering media can be harnessed to manipulate broadband light wave packets in space-time for focusing, imaging, and computing applications. Interestingly, while many proposed methodologies operate on intensity-based assessment of scattered fields, often in the spectral domain, from a pure transmission-function perspective, scattering operates as a linear field-level combinatory process, i.e., the superposition of transformation of unit excitations. As a result, we recently demonstrated that gaining experimental access to instantaneous scattered fields, as available through time-domain spectroscopy in the terahertz (THz) spectral range, in conjunction with sparse light excitation typical of ghost imaging, provides a key advantage in enabling the functionalisation of scattering, exposing a novel modelling paradigm. In this paper, we provide experimental proof of reconstructing 1-dimensional object features through a scattering medium using a fully broadband THz time-domain approach.