Activiteit

This paper presents a sparse spectral unmixing algorithm for activity estimation of radionuclides in γ-ray spectrometry. The spectral unmixing method aims to decompose a measured spectrum into spectral signatures of radionuclides, which is sensitive to the choice of the spectral signatures. The sparsity of the solution is imposed to identify the active radionuclides. Experimental results on simulated and real spectra show that the proposed method yields significant improvement for estimating radioactivity at low statistics. Automated production of an fluorine-18 labeled tryptophan analogue, 1-(2-[18F]fluoroethyl)-l-tryptophan (1-L-[18F]FETrp) in a current Good Manufacturing Practice facility was achieved. 1-L-[18F]FETrp was produced by a one-pot, two-step strategy with an overall synthesis time of approximately 100 min, a radiochemical yield of 20 ± 5% (decay corrected), radiochemical purity and enantiomeric excess over 90%, and a molar activity of 103 ± 15 GBq/μmol at the end of synthesis (EOS). The dose mass of 1-L-FETrp in four consecutive batches was less than 5 μg. The radiopharmaceutical product met all quality control criteria for clinical use. OBJECTIVES To survey the frequency of extra-pulmonary symptoms reported by a sample of patients with severe asthma, their contribution to quality of life and relationship to treatment pathways. METHODS Consenting patients (N = 100) attending a severe asthma clinic completed questionnaire measures of extra-pulmonary symptoms (the General symptom Questionnaire, GSQ), pulmonary symptoms (Asthma Control Test, ACT), quality of life (the Severe Asthma Questionnaire, SAQ) and health status (EQ-5D-5L). RESULTS A median of 21 extra-pulmonary symptoms were reported per week. GSQ correlated -0.65 with the ACT and 0.69 with the SAQ. Linear regression showed that both the ACT and GSQ were significant predictors of SAQ mean score, p  less then  0.001. In patients not receiving biologics, those with high cumulative OCS exposure (≥1120 mg per year) had significantly worse scores (p  less then  0.05) on all questionnaires except the ACT and GSQ compared to those with low cumulative OCS exposure. DISCUSSION Extra-pulmonary symptoms were common in this sample of people with severe asthma. Extra-pulmonary and pulmonary symptoms contribute equal variance to the score of HRQoL, showing that they are equally important contributors to patients’ experience of severe asthma. Extra-pulmonary symptoms are often overlooked in clinical medicine and in measures of quality of life. INCB024360 inhibitor Participants receiving biologic treatments had lower extra-pulmonary symptoms possibly indicating that biologics reduce systemic symptoms more effectively than other treatments. Crown All rights reserved.BACKGROUND Technology-based physical activity (PA) interventions have been shown to improve daily step counts and health-related quality of life, but their effect on long-term clinical outcomes like acute exacerbations (AEs) is unknown in persons with COPD. METHODS U.S. Veterans with stable COPD were randomized (11) to either pedometer alone (control) or pedometer plus a website with feedback, goal-setting, disease education, and a community forum (intervention) for 3 months. AEs were assessed every 3 months over a follow-up period of approximately 15 months. Pedometer-assessed daily step counts, health-related quality-of-life (HRQL), and self-efficacy were assessed at baseline, end-of-intervention at 3 months, and during follow-up approximately 6 and 12 months after enrollment. Zero-inflated Poisson models assessed the effect of the intervention on risk for AEs, compared to controls. Generalized linear mixed-effects models for repeated measures examined between-group and within-group changes in daily step count, HRQL, and self-efficacy. RESULTS There were no significant differences in age, FEV1% predicted, baseline daily step count, AEs the year prior to enrollment, or duration of follow-up between the intervention (n = 57) and control (n = 52) groups. The intervention group had a significantly reduced risk of AEs (rate ratio = 0.51, [95%CI 0.31-0.85]), compared to the control group. There were no significant between-group differences in change in average daily step count, HRQL, or self-efficacy at 6 and 12 months after enrollment. CONCLUSIONS A 3-month internet-mediated, pedometer-based PA intervention was associated with reduced risk for AEs of COPD over 12-15 months of follow-up. ClinicalTrials.gov identifier NCT01772082. Published by Elsevier Ltd.BACKGROUND AND OBJECTIVE Home mechanical ventilation (HMV) is used in heterogeneous conditions underlying chronic hypercapnic respiratory failure, but there are sparse data on long-term clinical outcomes. The aim was to systematically analyse the time and the circumstances of death on HMV. METHODS All-cause mortality data of HMV patients were prospectively collected between 2008 and 2018 in a large tertiary centre. Data were categorised into diagnostic groups including neuromuscular disease (NMD), chest wall disease (CWD), chronic obstructive pulmonary disease (COPD), obesity hypoventilation syndrome (OHS), overlap syndrome of COPD and OSA (overlap) and other group. The primary outcome was time-to-death from initiation of HMV. RESULTS 1210 deaths were recorded over a 10-year period. Median time-to-death was 19.5 [6-55] months and differed between groups (Kruskal Wallis p  less then  0.001). CWD (98.5 [23.5-120] months) and slowly progressive NMD (64.5 [28-120] months) had the longest time-to-death on HMV, while OHS (33 [13-75] months) and overlap syndrome (30.5 [14.5-68.5] months) had a longer median time-to-death than COPD (19.5 [7-42.5] months) and motor neurone disease (7 [3-14] months). Daily adherence to HMV of greater than 4 h/night was associated with better outcomes (10 [3-24] vs. 30 [10-76] months; p  less then  0.001). 43% with confirmed location of death died outside the hospital. CONCLUSIONS The time-to-death on home mechanical ventilation varies widely across disease groups with chronic respiratory failure and seems to be associated with daily usage time. TRIAL REGISTRATION researchregistry.com UIN researchregistry4122.