Electronic alert-based computerized decision support for detection of chronic kidney disease in type 2 diabetes mellitus: CKD-DETECT.
Am J MedApr 22, 2026 (epub)
Samuel Z Goldhaber, Sina Rashedi, Mariana Pfeferman et al.
✦ AI-curated · Sources linked
In 30 seconds
The CKD-DETECT randomized controlled trial evaluated an electronic alert system for urine albumin-to-creatinine ratio (UACR) testing in outpatients with type 2 diabetes. Among 400 participants, UACR was ordered in 36.0% of the alert group compared to 11.5% in the control group (OR 5.71; P < 0.001), indicating improved testing rates.
Key findings
- UACR testing was ordered in 36.0% of the alert group vs. 11.5% in the control group (OR 5.71; P < 0.001).
- Identification of UACR ≥10 mg/g was higher in the alert group (21.0% vs. 8.5%; OR 3.41; P = 0.008).
- Identification of UACR ≥30 mg/g was also higher in the alert group (9.5% vs. 4.0%; OR 3.71; P = 0.011).
- New diagnoses of chronic kidney disease occurred in 0.5% of the alert group vs. 1.0% in the control group (OR 0.50; P = 0.570).
Why it matters
This study highlights the potential of electronic alerts to enhance the screening for chronic kidney disease in patients with type 2 diabetes, which is crucial for early intervention and management.