Lipids & metabolic liver disease
Risk Stratification of Chronic Kidney Disease in Adults Using Noninvasive Fibrosis Tests Based on the American Diabetes Association Algorithm
Main finding · Incident CKDResult — go to the resultFold higher risk (multivariable Cox) 1.52 95% CI 1.09–2.13Authors' conclusion
The two-step ADA algorithm can effectively stratify CKD risk in individuals at high risk of future cirrhosis.
Study context
- Population
- Adults without pre-existing chronic kidney disease (CKD) who underwent vibration-controlled transient elastography, April 2006 to October 2018
- Participants
- 9,264 adults
- Exposure
- American Diabetes Association (ADA) algorithm risk categories: high-risk vs low-risk vs no metabolic criteria
- Outcome
- Incident CKD: Estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m² or proteinuria (≥ 1+) on two consecutive tests
- Follow-up
- Mean 3.7 years
Main finding
Incident CKD
Fold higher risk (multivariable Cox)
1.52
95% CI 1.09–2.13
As reported in the abstract
- Participants developing incident CKD (overall)
- 440 (4.7%)
Observational data: associations, not effects.
Secondary outcomes
| Outcome | Fold higher risk (95% CI) |
|---|---|
| 25% eGFR decline · mean follow-up 3.5 yearsHigh risk vs No metabolic criteria | 2.30 (1.83–2.90) |
Original publication
Risk Stratification of Chronic Kidney Disease in Adults Using Noninvasive Fibrosis Tests Based on the American Diabetes Association Algorithm. Diabetes Obes Metab. Published 7 April 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →