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Baseline risk markers and visit-to-visit variability in relation to kidney outcomes - A post-hoc analysis of the PERL
Viktor Rotbain Curovic1, Neil Roy2, Tine W Hansen1
1Steno Diabetes Center Copenhagen, Herlev, Denmark.
Insights
Visit-to-visit variability in systolic blood pressure is a novel risk marker for kidney function decline in type 1 diabetes. This finding may aid in better risk stratification for diabetic kidney disease.
Area of Science:
- Nephrology
- Endocrinology
- Clinical Trials
Background:
- Diabetic kidney disease (DKD) is a major complication of type 1 diabetes (T1D).
- Identifying early risk markers for kidney function decline is crucial for timely intervention.
- Baseline risk variables and visit-to-visit variability (VV) in clinical parameters are potential predictors of DKD progression.
Purpose of the Study:
- To investigate the association between baseline risk variables and VV of key clinical parameters with kidney function decline in T1D.
- To identify novel, clinically feasible markers for risk stratification of DKD in T1D patients.
Main Methods:
- Post-hoc analysis of a randomized, placebo-controlled trial of allopurinol in T1D patients with elevated uric acid.
- Iohexol-derived glomerular filtration rate (iGFR) change over three years was the primary outcome.
- Linear regression models were used to identify baseline predictors and assess the impact of VV (systolic blood pressure, HbA1c, serum creatinine, uric acid) on iGFR change.
Main Results:
- Higher baseline HbA1c, systolic blood pressure (SBP), iGFR, albuminuria, heart rate, and mineralocorticoid receptor antagonist use were associated with greater iGFR decline.
- Increased visit-to-visit variability of SBP was significantly associated with a greater decline in iGFR (adjusted β: -0.79, p=0.01).
- 404 participants were included in the primary analyses.
Conclusions:
- Several baseline factors and, notably, SBP variability are identified as risk markers for accelerated kidney function decline in T1D.
- Visit-to-visit variability in SBP presents a potential new, clinically accessible measure for risk stratification of DKD.
- Further research is warranted to validate these findings and integrate them into clinical practice for T1D management.
Background:
Baseline risk variables and visit-to-visit variability (VV) of systolic blood pressure (SBP), HbA1c, serum creatinine, and uric acid (UA) are potential risk markers of kidney function decline in type 1 diabetes.
Methods:
Post-hoc analysis of a double-blind randomized placebo-controlled clinical trial investigating allopurinol's effect on iohexol-derived glomerular filtration rate (iGFR) in type 1 diabetes with elevated UA. Primary outcome was iGFR change over three years. Linear regression with backwards selection of baseline clinical variables was performed to identify an optimized model forecasting iGFR change. Furthermore, VVs of SBP, HbA1c, serum creatinine, and UA were calculated using measurements from the run-in period; thereafter assessed by linear regression, with iGFR change as the dependent variable.
Results:
404 participants were included in the primary analyses. In the optimized baseline variable model, higher HbA1c, SBP, iGFR, albuminuria, and heart rate, and mineralocorticoid receptor antagonist prescription were associated with greater iGFR decline. Higher VV of SBP was associated with greater iGFR decline (adjusted β (ml/min/1.73 m2/50 % increase): -0.79, p = 0.01).
Conclusions:
We identified several risk markers for faster iGFR decline in a high-risk population with type 1 diabetes. While further research is needed, our results indicate possible new and clinically feasible measures to risk stratify for DKD in type 1 diabetes.
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