Objectives: Quantification of work disability in patients with early rheumatoid arthritis (RA) receiving conventional DMARDs according to a treat-to-target strategy.
Methods: This is a retrospective cohort analysis of RA patients who received combination conventional DMARDs, escalated to achieve DAS28(ESR) remission and completed an annual work and arthritis questionnaire. Random effect mixed modeling was used to assess associations between average hours worked per week (HWPW), and baseline prognostic factors. HWPW were compared with matched population averages. Cox proportional hazards modeling was employed to evaluate associations between permanent loss of employment and treatment response, disease and demographic factors.
Results: Work data from 135 patients working at baseline and 137 working at any point followed for up to 14 years (range 1-14) were available for analysis. The mean age was 45 years, 70% were female, and 70% and 68% were seropositive for rheumatoid factor and anti-cyclic citrullinated peptide (anti-CCP), respectively. Men worked more hours than women; there was a highly significant association between working hours lost and increasing age (0.28 hours, P = 0.04) and female gender (11.92 hours, P < 0.001). HWPW were maintained over the study time comparable to the general population (loss of 0.78 vs. 0.24 HWPW). EULAR good responders at 6 months were more likely to be working at 10 years compared to those with moderate/no response. Permanent loss of employment and baseline age were strongly associated for anti-CCP positive participants (P = 0.04).
Conclusions: Treat-to-target combination conventional DMARD therapy maintains work capacity, particularly in good responders, comparable to the general population. Improving treatment response in moderate/no responders early in disease may increase work retention.
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http://dx.doi.org/10.1097/RHU.0000000000000506 | DOI Listing |
Phys Rev Lett
December 2024
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
We introduce an approach for analyzing the responses of dynamical systems to external perturbations that combines score-based generative modeling with the generalized fluctuation-dissipation theorem. The methodology enables accurate estimation of system responses, including those with non-Gaussian statistics. We numerically validate our approach using time-series data from three different stochastic partial differential equations of increasing complexity: an Ornstein-Uhlenbeck process with spatially correlated noise, a modified stochastic Allen-Cahn equation, and the 2D Navier-Stokes equations.
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Qingdao Qingli Environmental Protectionquipmen Co, LTD, Jiaozhou, 266300, China.
With the growing demand for nickel in the stainless steel and battery industries, conventional methods of extracting nickel from ores face challenges such as high production costs and environmental concerns. This study proposes a new process for the recovery of nickel metal and the production of nickel-iron alloys from nickel-bearing scrap. The reduction rates of nickel and iron oxides were investigated by optimizing the roasting temperature, time, and C/O ratio, and the process was optimized using response surface methodology (RSM).
View Article and Find Full Text PDFACS Nano
January 2025
Creative Research Initiative Center for Nanospace-confined Chemical Reactions (NCCR), Pohang University of Science and Technology (POSTECH), Pohang 37673, Korea.
Unlike homogeneous metal complexes, achieving absolute control over reaction selectivity in heterogeneous catalysts remains a formidable challenge due to the unguided molecular adsorption/desorption on metal-surface sites. Conventional organic surface modifiers or ligands and rigid inorganic and metal-organic porous shells are not fully effective. Here, we introduce the concept of "ligand-porous shell cooperativity" to desirably reaction selectivity in heterogeneous catalysis.
View Article and Find Full Text PDFMed Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Aramco Americas, Boston Research Center, Cambridge, MA, 02139, USA.
Membrane-based gas separation provides an energy-efficient approach for the simultaneous CO and HS removal from sour natural gas. The fluorinated polyimide (PI) membranes exhibited a promising balance between permeability and permselectivity for sour natural gas separation. To further improve the separation efficiency of fluorinated PI membranes, a melamine-copolymerization synthetic approach is devised that aims to incorporate melamine motifs with high sour gas affinity into the structure of the PI membranes.
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