What are validated endpoints for lupus?
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Validated endpoints for lupus include the Lupus Low Disease Activity State (LLDAS), which has been established as a feasible and protective target for systemic lupus erythematosus (SLE) treatment and clinical trials . LLDAS attainment has shown significant associations with reduced disease flares and irreversible end-organ damage accrual in SLE patients, making it a valuable endpoint for monitoring disease activity and treatment efficacy . The development and validation of LLDAS represent a crucial step towards improving outcomes and guiding therapeutic interventions in SLE, addressing the need for reliable endpoints in complex multiorgan conditions like lupus .
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35 Citations | Validated endpoints for lupus nephritis include new or progressive chronic kidney disease, severe kidney injury, and the need for renal replacement therapy, predicted using short-term kidney responses. |
Validated endpoints for lupus are lacking, contributing to failed trials. The absence of well-established targets hinders progress in systemic lupus erythematosus treatment. | |
16 Aug 2019 | The Lupus Low Disease Activity State (LLDAS) is a validated endpoint for systemic lupus erythematosus, associated with reduced disease flares and organ damage, impacting clinical practice and trial outcomes. |
Validated endpoints for lupus include the Lupus Low Disease Activity State (LLDAS), which is associated with improved outcomes, protective from flare, damage accrual, low quality of life, and mortality. | |
01 Oct 2019 63 Citations | The Lupus Low Disease Activity State (LLDAS) has been validated as an endpoint for systemic lupus erythematosus, showing significant protection against flare and damage accrual in patients. |
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What are the different statistics used to validate the projection of LULC?4 answersDifferent statistics used to validate the projection of LULC include overall agreement, kappa statistics, correctness, completeness, and quality indexes. The overall agreement measures the similarity between the actual and projected LULC maps, with higher values indicating greater accuracy. Kappa statistics assess the reliability of the calibration process, with higher values indicating higher data reliability. Correctness, completeness, and quality indexes are used to evaluate the accuracy and quality of the predicted LULC maps, with higher values indicating better performance. These statistics are important for validating the accuracy and reliability of LULC projections, ensuring that the models used for prediction are capable of providing accurate future scenarios.
What are the targets for lupus?5 answersThe targets for lupus include Toll-like receptors (TLRs) such as TLR2/4, TLR5, TLR3, and TLR7/8/9, which are involved in the recognition of self-molecules and have been implicated in the pathogenesis of systemic lupus erythematosus (SLE). B cells and plasma cells have also been targeted, with drugs like belimumab, rituximab, and obinutuzumab showing promise in altering B cell activity and depletion. In addition, inflammatory cytokines, chemokines, and their receptors, as well as intracellular signaling pathways, have been targeted for SLE treatment. Other potential targets include T/B cell co-stimulation molecules, complement molecules, T lymphocytes, and plasmacytoid dendritic cells. The development of targeted therapies for SLE aims to achieve disease modification and personalized treatment strategies, with the need for companion biomarkers to better characterize SLE heterogeneity and optimize treatment selection.
How to derive use cases for validaiton?5 answersUse cases can be derived for validation by following a systematic approach. First, the requirements of the software system need to be understood and documented. This can be done using techniques such as the Unified Modeling Language (UML) use case notation. Use cases provide a user perspective of the system behavior and describe interactions between external users and the system. Once the use cases are defined, scenarios can be created to validate them. Scenarios are examples of system execution that can be used to validate the use cases. These scenarios can be derived from the use cases themselves and can help ensure that the system behaves as expected. Additionally, techniques such as process mining can be used to validate use cases by analyzing real-world data and comparing it to the expected behavior.
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