Objective: To further simplify the simple erosion narrowing score (SENS) by removing scored areas that contribute the least to its measurement precision according to analysis based on item response theory (IRT) and to compare the measurement performance of the simplified version to the original.
Methods: Baseline and 18-month data of the Combinatietherapie Bij Reumatoide Artritis (COBRA) trial were modeled using longitudinal IRT methodology. Measurement precision was evaluated across different levels of structural damage. SENS was further simplified by omitting the least reliably scored areas. Discriminant validity of SENS and its simplification were studied by comparing their ability to differentiate between the COBRA and sulfasalazine arms. Responsiveness was studied by comparing standardized change scores between versions.
Results: SENS data showed good fit to the IRT model. Carpal and feet joints contributed the least statistical information to both erosion and joint space narrowing scores. Omitting the joints of the foot reduced measurement precision for the erosion score in cases with below-average levels of structural damage (relative efficiency compared with the original version ranged 35-59%). Omitting the carpal joints had minimal effect on precision (relative efficiency range 77-88%). Responsiveness of a simplified SENS without carpal joints closely approximated the original version (i.e., all Δ standardized change scores were ≤0.06). Discriminant validity was also similar between versions for both the erosion score (relative efficiency = 97%) and the SENS total score (relative efficiency = 84%).
Conclusion: Our results show that the carpal joints may be omitted from the SENS without notable repercussion for its measurement performance.
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http://dx.doi.org/10.1002/acr.22793 | DOI Listing |
Natl Sci Rev
January 2025
Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei 230026, China.
Affordable high-resolution cameras and state-of-the-art computer vision techniques have led to the emergence of various vision-based tactile sensors. However, current vision-based tactile sensors mainly depend on geometric optics or marker tracking for tactile assessments, resulting in limited performance. To solve this dilemma, we introduce optical interference patterns as the visual representation of tactile information for flexible tactile sensors.
View Article and Find Full Text PDFLens tension is essential for accommodative vision but remains challenging to measure with precision. Here, we present an optical coherence elastography (OCE) technique that quantifies both the tension and elastic modulus of lens tissue and capsule. This method derives mechanical parameters from surface wave dispersion across a critical frequency range of 1-30 kHz.
View Article and Find Full Text PDFFront Vet Sci
December 2024
Department of Veterinary Medicine and Animal Sciences, University of Milan, Lodi, Italy.
Welfare studies are increasingly involving the application of Precision Livestock Farming (PLF) sensors, rather than the use of animal-based indicators directly assessed. PLF technology has the advantage to constantly monitor behavior over a long period of time, thus enabling the assessor to identify changes in animal time budgets in real-time. In calves, lying behavior is essential: new-borns have been reported to spend 70-80% of their daily time lying.
View Article and Find Full Text PDFUnderstanding kinase action requires precise quantitative measurements of their activity . In addition, the ability to capture spatial information of kinase activity is crucial to deconvolute complex signaling networks, interrogate multifaceted kinase actions, and assess drug effects or genetic perturbations. Here we developed a proteomic kinase activity sensor platform (ProKAS) for the analysis of kinase signaling using mass spectrometry.
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Objectives: Define how the regulatory factor Nipsnap1 integrates with lipid metabolism.
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