Visit-to-visit variability of clinical risk markers in relation to long-term complications in type 1 diabetes
Viktor Rotbain Curovic1, Simone Theilade1,2, Signe Abitz Winther1
1Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Insights
Variability in systolic blood pressure, HbA1c, and albuminuria are significant predictors of complications in type 1 diabetes. Monitoring these clinical markers aids in risk stratification for cardiovascular events and kidney disease.
Area of Science:
- Endocrinology
- Nephrology
- Cardiology
Background:
- Type 1 diabetes management relies on monitoring clinical markers like HbA1c, systolic blood pressure (SBP), albuminuria, and estimated glomerular filtration rate (eGFR).
- Understanding the variability of these markers is crucial for predicting micro- and macrovascular complications.
Purpose of the Study:
- To investigate the association between visit-to-visit variability (VV) of HbA1c, SBP, albuminuria, and eGFR and the risk of complications in individuals with type 1 diabetes.
Main Methods:
- A prospective study of 1062 individuals with type 1 diabetes.
- Visit-to-visit variability (VV) was calculated using linear regression over a 3-year period.
- Endpoints included cardiovascular events (CVE), end-stage kidney disease (ESKD), eGFR decline, and mortality.
Main Results:
- Higher SBP VV was linked to increased risk of CVE, ESKD, and mortality.
- Higher HbA1c VV was associated with increased mortality.
- Higher albuminuria VV was associated with eGFR decline and ESKD.
- eGFR VV did not show a significant association with the studied endpoints.
Conclusions:
- Increased variability in SBP, HbA1c, and albuminuria provides valuable risk stratification information for type 1 diabetes patients.
- Monitoring marker variability can help predict micro- and macrovascular complications, guiding clinical management.
Background:
Clinical characteristics such as HbA1c , systolic blood pressure (SBP), albuminuria and estimated glomerular filtration rate (eGFR) are important when treating type 1 diabetes. We investigated the variability in these measures as risk markers for micro- and macrovascular complications.
Methods:
This prospective study included 1062 individuals with type 1 diabetes. Visit-to-visit variability of HbA1c , SBP, albuminuria and eGFR was calculated as the SD of the residuals in individual linear regression models using all available measures in a specified period of 3 years (VV). Endpoints included were as follows: cardiovascular events (CVE) defined as myocardial infarction, non-fatal stroke, or coronary or peripheral arterial intervention; end-stage kidney disease (ESKD) defined as eGFR <15 ml/min/1.73 m2 , chronic dialysis or kidney transplantation; eGFR decline ≥30%; and mortality. Adjustment included age, sex, cholesterol, HbA1c , SBP, body mass index, smoking, albuminuria, eGFR, and mean, intercept, slope of respective exposure variables and regression models.
Results:
SBP VV was significantly associated with CVE (adjusted hazard ratio per 50% increase, (CI 95%); p: 1.21 [1.05-1.39]; p = 0.008), ESKD (1.51 [1.16-1.96]; p = 0.002) and mortality (1.25 [1.09-1.44]; p = 0.002). HbA1c VV was significantly associated with mortality (1.51 [1.30-1.75]; p < 0.001); albuminuria VV with eGFR decline (1.14 [1.08-1.20]; p = 0.024) and ESKD (1.14 [1.02-1.27]; p < 0.001), but neither CVE nor mortality. Adjusted eGFR VV was not associated with endpoints.
Conclusion:
In type 1 diabetes, higher variability of basic clinical risk markers adds important risk stratification information for the development of micro- and macrovascular complications.
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