Why the study?
To explore the relationship between estimated glomerular filtration rate decline and simultaneously assessed vascular risk markers in patients with type 2 diabetes and diabetic kidney disease.
Do vascular risk markers predict eGFR decline in patients with type 2 diabetes and diabetic kidney disease?
Do vascular risk markers predict eGFR decline in patients with type 2 diabetes and diabetic kidney disease?
In patients with diabetic kidney disease, 24-hour ambulatory systolic blood pressure is a stronger independent predictor of eGFR decline than office blood pressure, pulse wave velocity, or renal resistive index.
Supports ambulatory BP monitoring for eGFR risk stratification in diabetic kidney disease; hypothesis-generating for targeted intervention trials.
Objective In patients with type 2 diabetes and diabetic kidney disease (DKD), explore the relationship between estimated glomerular filtration rate decline (eGFR-d) and simultaneously assessed vascular risk markers including office, ambulatory or central blood pressure, pulse pressure, carotid-femoral pulse wave velocity (PWV), carotid intima-media thickness (IMT) and renal resistive indexes (RRI). Research design and methods At baseline, vascular risk markers were measured in addition to the routine clinical workup. The eGFR-d was based on 2000–2019 creatinine values. Parameters were compared by eGFR-d quartiles. Regression models of eGFR-d and vascular markers were assessed. Results In total, 135 patients were included. Mean age was 63.8 ± 10.8y, baseline eGFR 60.2 ± 26.4 ml/min/1.73 m 2 and urine albumin-creatinine ratio (ACR) 49 ± 108 mg/mmol. Mean eGFR-d was based on 43 ± 39 creatinine values within a time span of 7.0 ± 1.9y. The average yearly eGFR decline was −1.8 ± 3.0 ml/min/1.73 m 2 ranging from −5.8 ± 2.3 in the first quartile to +1.4 ± 1.7 in the fourth quartile. Mean 24 h systolic (SBP) and diastolic (DBP) blood pressure were 126 ± 17 and 74 ± 9 mmHg. Mean PWV was 11.8 ± 2.8 m/s, RRI 0.76 ± 0.07 and IMT 0.77 ± 0.21 mm. SBP and pulse pressure correlated with eGFR-d but not DBP. 24 h SBP stood out as a stronger predictor of eGFR-d than office or central SBP. PWV and RRI correlated with eGFR decline in univariate, but not multivariate regression models including 24 SBP and ACR. Conclusions In this study, eGFR decline was highly variable in patients with type 2 diabetes and DKD. Twenty-four hour SBP provided an added value to the routine measurement of ACR in predicting eGFR decline, whereas PWV and RRI did not.
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Truscello et al. (2023) studied this question.
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