An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement
Authors' conclusion
Application of the artificial intelligence-based Gout Intelligent Management System was associated with lower incidence of chronic kidney disease stage ≥3 and superior target serum urate achievement in people with gout.
Study context
- Population
- People with gout and a starting eGFR >60 ml/min1:2 propensity score (PS)-matched cohort
- Participants
- 4,117 vs 2,128
- Exposure
- Artificial intelligence (AI)-based Gout Intelligent Management System (GIMS) vs standard Electronic Medical Records system (EMRS) clinic
- GIMSn = 4,117
- EMRSn = 2,128reference
- Outcome
- Incidence of chronic kidney disease (CKD) stage ≥3
- Follow-up
- 4 years
Methodological detailsobservational, propensity score (PS)-matched, 1:2 PS-matched cohort
- Observational
- Propensity score (PS)-matched
- 1:2 PS-matched cohort
Main finding
As reported in the abstract
New-onset CKD stage ≥3 · during follow-up
Observational data: associations, not effects.
Further findings
SU <6.0 mg/dl achieved · during follow-up
P < 0.001
Original publication
An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement. Rheumatology (Oxford). Published 6 November 2024. doi:10.
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