Research on measuring long-term damage in lupusNews

New Research Aims to Improve How Long-Term Damage Is Measured in Lupus

New research is advancing efforts to improve how doctors measure long-term organ damage in people living with systemic lupus erythematosus (SLE).

Researchers are working to modernize the SLICC/ACR Damage Index, a long-standing tool used to assess permanent damage that can develop over time as a result of lupus, its complications or treatment.

As part of the effort, 146 health professionals and people with lupus from 35 countries participated in a consensus process that reviewed 226 potential measures. The group ultimately narrowed those measures to 39 candidates for a proposed updated damage index.

The revised approach is intended to better reflect today’s understanding of lupus and current standards of care. Researchers are also considering how different types and levels of damage should be weighted so that the index can more accurately capture the long-term impact of the disease.

The updated index is still being developed and tested. The next steps include refining the scoring system and evaluating the revised tool for validity, reliability and responsiveness before it can be considered for broader use.

For people living with lupus, more accurate ways to measure long-term damage could help researchers and healthcare providers better understand disease progression, compare outcomes and improve future care.

For additional information, read the full research summary from the Lupus Foundation of America.

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Artificial intelligence and lupus care researchNews

Artificial Intelligence Shows Promise in the Future of Lupus Care

Artificial intelligence is rapidly changing many areas of healthcare, and new research suggests it may also have an important role in the future of lupus care.

A 2026 review published in the medical journal Lupus examined current applications of artificial intelligence in systemic lupus erythematosus (SLE). Researchers evaluated how AI and machine-learning technologies are being studied to assist with diagnosis, monitor disease activity, predict flares and organ-specific complications, and potentially help personalize treatment.

Because lupus can affect people differently and symptoms and disease activity can change over time, identifying patterns that may help physicians anticipate changes in a patient’s condition could be particularly valuable. The review found promising developments in areas including flare prediction, cardiovascular risk assessment and the analysis of kidney biopsies related to lupus nephritis.

However, researchers emphasized that significant work remains before these technologies can become part of routine lupus care. Many AI models still require broader validation, greater transparency and testing across more diverse patient populations. The review also reports that no AI tool evaluated for SLE has yet received regulatory clearance.

For people living with lupus, these advances offer an encouraging look at how technology may eventually support earlier detection of changes in disease activity and more individualized care. Continued research will be essential to ensure that these tools are accurate, clinically useful and equitable for the diverse communities affected by lupus.

For additional information, read the full research abstract and publication details on PubMed.

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