Affiliation:
1. Institut Cœur Poumon CHU Lille Lille France
2. CHU Lille University of Lille Lille France
3. Endocrinology, Diabetology and Metabolism CHU Lille Lille France
4. CHU Lille EA 2694 ‐ Santé Publique: Épidémiologie et Qualité des Soins Department of Biostatistics Univ. Lille Lille France
5. CHU Lille EA4483 IMPECS Department of Nephrology Univ. Lille Lille France
6. Institut Pasteur de Lille EGID. Inserm U1011 Lille France
Abstract
AbstractThe renal resistive index has been demonstrated to predict the progression of renal disease and recurrence of major cardiac events in high‐risk cardiovascular patients, in addition to other comorbidities. We aimed to assess the prognostic significance of the renal resistive index in type 2 diabetic patients for primary prevention. From 2008 to 2011, patients with type 2 diabetes underwent cardiovascular evaluation, including renal resistive index assessment by renal Doppler ultrasound. The incidence of all‐cause death, cardiovascular events, dialysis requirement or a twofold increase in creatinine was recorded. Survival curves were estimated by the Kaplan‐Meier method. Two hundred sixty‐six patients were included; 50% of the patients were men, an HbA1C level of 8.1 ± 1.7% (65 ± 13.6 mmol/mol) and a serum creatinine level of 8 [7‐9] mg/L. The mean 24‐hour systolic blood pressure, 24‐hour diastolic blood pressure, and 24‐hour pulse pressure were 133.4 ± 16.7, 76.5 ± 9.4, and 56.9 ± 12.4 mm Hg, respectively. The median renal resistive index was 0.7 [0.6‐0.7] with a threshold of 0.7 predictive of monitored events. After adjustment of the 24‐hour pulse pressure, age and 24‐hour heart rate, a renal resistive index ≥0.70 remained associated with all‐cause death (hazard ratio: 3.23 (1.16‐8.98); P = .025) and the composite endpoint of major clinical events (hazard ratio: 2.37 (1.34‐4.18); P = .003). An elevated renal resistive index with a threshold of 0.7 is an independent predictor of a first cardiovascular or renal event in type 2 diabetic patients. This simple index should be implemented in the multiparametric staging of diabetes.
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13 articles.
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