Earlier detection of light-chain (AL) amyloidosis
Early diagnosis of light chain amyloidosis
['FUNDING_R01'] · MEDICAL COLLEGE OF WISCONSIN · NIH-11289334
This project will use Medicare health records and machine learning to spot early warning patterns so doctors can consider AL amyloidosis sooner for people at risk.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MEDICAL COLLEGE OF WISCONSIN (nih funded) |
| Locations | 1 site (MILWAUKEE, UNITED STATES) |
| Trial ID | NIH-11289334 on ClinicalTrials.gov |
What this research studies
From my point of view as a patient, researchers will look at large sets of Medicare medical records to find patterns of earlier, non-specific diagnoses that often come before AL amyloidosis. They will use Bayesian machine learning to build an alert system that flags patients whose history matches those warning patterns. The team aims to help clinicians notice and test for AL amyloidosis earlier, especially in groups that may be underdiagnosed. The work pays special attention to differences by race and common precursor conditions like MGUS, heart problems, and kidney disease.
Who could benefit from this research
Good fit: The findings would most directly apply to U.S. Medicare-age adults, especially people with monoclonal gammopathy (MGUS), unexplained heart or kidney problems, or those from populations like Black Americans who may be underdiagnosed.
Not a fit: People who are younger than Medicare age, who lack the precursor diagnosis patterns used by the algorithm, or who have non–light-chain forms of amyloidosis may not benefit from this approach.
Why it matters
Potential benefit: If successful, this could help clinicians diagnose AL amyloidosis earlier and lower early deaths and complications from heart involvement.
How similar studies have performed: Other electronic health record and algorithm-based screening efforts have helped detect forms of cardiac amyloidosis, but applying Bayesian machine learning to national Medicare data specifically for early AL detection is relatively new.
Where this research is happening
MILWAUKEE, UNITED STATES
- MEDICAL COLLEGE OF WISCONSIN — MILWAUKEE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: D'SOUZA, ANITA — MEDICAL COLLEGE OF WISCONSIN
- Study coordinator: D'SOUZA, ANITA
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.