Personalized kidney screening in type 1 diabetes tied to early detection and reduced testing frequency
USA: Adopting a personalized approach alternative to annual screening for patients with type 1 diabetes (T1D) can considerably reduce the frequency of urine testing and the time with undetected chronic kidney disease (CKD), a recent study in Diabetes Care has shown.
Screening recommendations for screening CKD include annual urinary albumin excretion rate (AER) testing after five years of type 1 diabetes. Albumin is a protein in the blood; too much albumin in the urine indicates kidney disease. The new studies have suggested that AER screening could be personalized to optimize early CKD detection and testing frequency.
People with T1D, specifically those at low risk of CKD development, could be tested for AER less frequently to reduce cost and burden, and those at high CKD risk could be tested more frequently to facilitate earlier detection of chronic kidney disease. Type 1 diabetes patients have an estimated 50% risk of CKD development over their lifetime. CKD can progress to kidney failure, requiring a kidney transplant or dialysis.
Against the above background, Bruce A. Perkins, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada, and colleagues sought to determine a risk factor-based, simple screening schedule that optimizes early CKD detection and testing frequency in patients with type 1 diabetes.
For this purpose, the researchers used measurements of urinary albumin excretion from 1,343 patients enrolled in the Diabetes Control and Complications Trial and its follow-up for the long term to produce piecewise-exponential incidence models. To identify individualized screening schedules, the likelihood of the onset of moderately or severely increased albuminuria, and its risk factors were used. A comparison was made between the time with undetected albuminuria and the number of tests with annual screening.
Following were the study's key findings:
- The 3-year cumulative incidence of increased albuminuria after normoalbuminuria during the study duration was 3.2%, strongly associated with higher AER and glycated hemoglobin (HbA1c).
- Personalized screening in 2 years for patients with current AER ≤10 mg/24 h and HbA1c ≤8%, in 6 months for those with AER 21–30 mg/24 h or HbA1c ≥9%, and in 1 year for all others were linked with 34.9% decrease in time with undetected albuminuria and 20.4% reduction in testing frequency versus annual screening.
- Stratification by HbA1c categories or AER alone was tied to reductions of lesser magnitude.
"A personalized alternative to annual kidney screening in type 1 diabetes can significantly reduce the time that chronic kidney disease goes undetected and the frequency of urine testing," the researchers conclude.
Reference:
Bruce A. Perkins, Ionut Bebu, Ian H. de Boer, Mark Molitch, Bernard Zinman, John Bantle, Gayle M. Lorenzi, David M. Nathan, John M. Lachin; on behalf of the Diabetes Control and Complications Trial (DCCT)–Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group, Optimal Frequency of Urinary Albumin Screening in Type 1 Diabetes. Diabetes Care 2022; dc221420. https://doi.org/10.2337/dc22-1420
Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.
NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.