Cardiac autonomic neuropathy predicts renal function decline in patients with type 2 diabetes: a cohort study |
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Authors: | Abd A. Tahrani Kiran Dubb Neil T. Raymond Safia Begum Quratul A. Altaf Hamed Sadiqi Milan K. Piya Martin J. Stevens |
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Affiliation: | 1. Centre of Endocrinology, Diabetes and Metabolism, Institute of Biomedical Research, The Medical School, University of Birmingham, Birmingham, B15 2TT, UK 2. Department of Diabetes and Endocrinology, Heart of England NHS Foundation trust, Birmingham, UK 3. Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK 4. Division of Metabolic and Vascular Health, Warwick Medical School, University of Warwick, Coventry, UK 5. Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
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Abstract: | Aims/hypothesis The aim of this work was to assess the impact of cardiac autonomic neuropathy (CAN) on the development and progression of chronic kidney disease (CKD) in patients with type 2 diabetes. Methods We conducted a cohort study in adults with type 2 diabetes. Patients with end-stage renal disease were excluded. CKD was defined as the presence of albuminuria (albumin/creatinine ratio GFR >?3.4 mg/mmol) or an estimated (eGFR) 60 ml min?1 1.73 m?2. CKD progression was based on repeated eGFR measurements and/or the development of albuminuria. CAN was assessed using heart rate variability. Results Two hundred and four patients were included in the analysis. At baseline, the prevalence of CKD and CAN was 40% and 42%, respectively. Patients with CAN had lower eGFR and higher prevalence of albuminuria and CKD. Spectral analysis variables were independently associated with eGFR, albuminuria and CKD at baseline. After a follow-up of 2.5 years, eGFR declined to a greater extent in patients with CAN than in those without CAN (?9.0?±?17.8% vs ?3.3?±?10.3%, p?=?0.009). After adjustment for baseline eGFR and baseline differences, CAN remained an independent predictor of eGFR decline over the follow-up period (β?=??3.5, p?=?0.03). Spectral analysis variables were also independent predictors of eGFR decline. Conclusions/interpretation CAN was independently associated with CKD, albuminuria and eGFR in patients with type 2 diabetes. In addition, CAN was an independent predictor of the decline in eGFR over the follow-up period. CAN could be used to identify patients with type 2 diabetes who are at increased risk of rapid decline in eGFR, so that preventative therapies might be intensified. |
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