BackgroundThe mechanisms linking cardiovascular autonomic neuropathy, diabetic kidney disease and cardiovascular mortality in type 2 diabetes are widely unknown. We investigated the relationship between baseline cardiovascular autonomic function and changes in kidney and myocardial function over six years in patients with type 2 diabetes and healthy controls.MethodsPost-hoc analysis of a cohort study in 24 patients with type 2 diabetes and 18 healthy controls. Baseline determinants were cardiovascular autonomic reflex tests (heart rate response to: standing (30:15); deep breathing (E:I); and the Valsalva test) and time- and frequency-domain heart rate variability indices. Outcomes were changes in estimated glomerular filtration rate (eGFR), albuminuria, myocardial flow reserve (MFR) measured by cardiac 82Rb Positron emission tomography computed tomography (PET/CT), and coronary artery calcium score (CACS).ResultsMean age at inclusion was 61 ± 10 years and 36% were female. Mean follow up time was 6 ± 0 years. A lower response in heart rate to the Valsalva test (corresponding to weaker autonomic function) was associated with a larger decline in eGFR (p=0.04), but not significantly after adjustment for sex, baseline age, smoking status, systolic blood pressure, heart rate, HbA1c, body mass index and baseline eGFR (p=0.12). A higher baseline response in heart rate to standing (30:15) was associated with a larger decline in myocardial flow reserve in the unadjusted analysis (p=0.02) and after adjustment (p=0.02). A higher response in heart rate to the Valsalva maneuver was associated with a larger increase in CACS (p = 0.02), but the association became insignificant after adjustment (p = 0.16).ConclusionA lower response in heart rate to the Valsalva test was associated with a larger decline in kidney function, indicating that autonomic dysfunction may predict future loss of kidney function. However, we did not find any association between lower values in cardiovascular autonomic function at baseline and a worsening in albuminuria, myocardial function, or atherosclerotic burden.
Background and Aims In the PRIORITY study, it was recently demonstrated that the urinary peptidome-based classifier CKD273 was associated with increased risk for progression to microalbuminuria. In this sub-study, we aim to evaluate whether glucose-lowering and antihypertensive medications, many of which have been demonstrated to have albuminuria-lowering effects, may interfere with the predictive value of CKD273. Method A post hoc analysis of a prospective observational study with embedded randomised placebo-controlled trial. Setting 1775 subjects from 15 European sites with a mean follow-up time of 2.6 years (minimum of 7 days and a maximum of 4.3 years). Patients Subjects with T2D, normoalbuminuria and estimated glomerular filtration rate (eGFR) ≥ 45 ml/min/1.73m2. Participants were stratified into high- or low-risk groups based on their CKD273 score in a urine sample at screening (high-risk defined as score > 0.154). Main outcome measures Baseline medication or initiation during the study was assessed for the following medications: glitazones, glucagon-like peptide-1 receptor agonists (GLP1-RA), sodium-glucose cotransporter-2 inhibitors (SGLT2i), dipeptidyl peptidase-4 inhibitors (DPP4i), angiotensin-converting-enzyme inhibitors (ACEi), angiotensin-II-receptor blockers (ARB), calcium channel blockers (CCB) and beta blockers (BB). The main outcome was development of confirmed microalbuminuria (urinary albumin to creatinine ratio (UACR) >30 mg/g and with ≥30% increase from baseline) in 2 of 3 consecutive samples. Results The hazard ratio (HR (95% CI)) for development of microalbuminuria (high vs. low-risk) was 3.9 (2.9-5.3) in a crude Cox-model; and 2.4 (1.8-3.4; p<0.0001) when adjusted for age, sex, HbA1c, systolic blood pressure, retinopathy, eGFR and UACR. Adding baseline medications to the model did not significantly alter the results. When evaluating medications initiated during the study, more high- than low-risk subjects were started on glitazones, GLP1-RA, SGLT2i, CCB and BB (p<0.03), however, only initiation of DPP4i was associated with the outcome. Adjustment for DPP4i initiated during the study did not significantly change the HR for development of confirmed microalbuminuria (HR 2.5 (1.8 to 3.4); p<0.0001) in a model including eGFR and UACR. The HR for development of persistent microalbuminuria (spironolactone vs. placebo) was 0.81 (0.49-1.34; p=0.41), however, adjusting for DPP4i did not significantly alter this result. Conclusion Although several glucose-lowering and antihypertensive medications were more frequently prescribed in high-risk subjects, the CKD273 classifier prospectively predicted confirmed microalbuminuria, independent of baseline co-medications and medication initiated during the study. Moreover, initiated medications during the study could not explain the inability of spironolactone to delay progression to microalbuminuria.
Background and Aims In the PRIORITY study, it was recently demonstrated that the urinary peptidome-based classifier CKD273 was associated with increased risk for progression to microalbuminuria. As a prespecified secondary outcome, we aim to evaluate the classifier CKD273 as a determinant of relative reductions in eGFR (CKD-EPI) of 30% and 40% from baseline, at one timepoint without requirements of confirmation. Method The ‘Proteomic prediction and Renin angiotensin aldosterone system Inhibition prevention Of early diabetic nephRopathy In TYpe 2 diabetic patients with normoalbuminuria trial’ (PRIORITY) is the first prospective observational study to evaluate the early detection of diabetic kidney disease in subjects with type 2 diabetes (T2D) and normoalbuminuria using the CKD273 classifier. Setting 1775 subjects from 15 European sites with a mean follow-up time of 2.6 years (minimum of 7 days and a maximum of 4.3 years). Patients Subjects with T2D, normoalbuminuria and estimated glomerular filtration rate (eGFR) ≥ 45 ml/min/1.73m2. Participants were stratified into high- or low-risk groups based on their CKD273 score in a urine sample at screening (high-risk defined as score > 0.154). Results In total, 12 % (n = 216) of the subjects had a high-risk proteomic pattern. Mean (SD) baseline eGFR was 88 (15) ml/min/1.73m2 in the low-risk group and 81 (17) ml/min/1.73m2 in the high-risk group (p < 0.01). Baseline median (interquartile range) urinary albumin to creatinine ratio (UACR) was 5 (3-8) mg/g and 7 (4-12) mg/g in the low-risk and high-risk groups, respectively (p < 0.01). A 30 % reduction in eGFR from baseline was seen in 42 (19.4 %) subjects in the high-risk group as compared to 62 (3.9 %) in the low-risk group (p < 0.0001). In an unadjusted Cox-model the hazard ratio (HR) for the high-risk group was 5.7, 95 % confidence interval (CI) (3.9 to 8.5; p<0.0001). After adjustment for baseline eGFR and UACR, the HR was 5.2, 95 % CI (3.4 to 7.8; p<0.0001). A 40 % reduction in eGFR was seen in 15 (6.9 %) subjects in the high-risk group whereas 22 (1.4 %) in the low-risk group developed this endpoint (p<0.0001). In an unadjusted Cox-model the HR for the high-risk group was 5.0, 95 % CI (2.6 to 9.6; p<0.0001). After adjustment for baseline eGFR and UACR, the HR was 4.8, 95 % CI (2.4 to 9.7; p<0.0001). Conclusion In normoalbuminuric subjects with T2D, the urinary proteomic classifier CKD273 predicts renal function decline of 30 % and 40 %, independent of baseline eGFR and albuminuria.
Background: The glycocalyx lines the inner surface of the capillary endothelium. Capillaroscopy enables visualization of the sublingual capillaries and measurement of the perfused boundary region (PBR) as an estimate of the glycocalyx. Novel software enables assessment of the PBR estimated at a fixed high flow level (PBR-hf) and the microvascularity by the MicroVascular Health Score (MVHS). Damaged glycocalyx may represent microvascular damage in diabetes and assessment of its dimension might improve early cardiovascular (CV) risk stratification. Aim: To assess the associations between PBR, PBR-hf and MVHS and CV risk factors in persons with type 1 diabetes (T1D); and to compare PBR, PBR-hf and MVHS in persons with T1D and healthy controls. Methods: Cross-sectional study including 161 persons with T1D stratified by stage of diabetic kidney disease according to level of albuminuria and 50 healthy controls without diabetes. The PBR, PBR-hf and MVHS were assessed by the GlucoCheck device (valid measurements were available in 136 (84.5%) with T1D and in all the controls). Higher PBR and PBR-hf indicate smaller glycocalyx width and lower MVHS represents a worse microvascular health. Results: There were no associations between PBR, PBR-hf or MVHS and the CV risk factors in persons with T1D, except for a higher PBR-hf and a lower MVHS in females (p = 0.01 for both). There was no difference in PBR, PBR-hf or MVHS in persons with normo-, micro- or macroalbuminuria (p ≥ 0.34). PBR was higher and MVHS was lower in persons with T1D as compared to the healthy controls (p ≤ 0.02). After adjustment for CV risk factors the difference in PBR remained significant (p = 0.001). Conclusions: The endothelial glycocalyx dimension was impaired in persons with T1D compared to healthy controls. We found no association between the endothelial glycocalyx dimension and the level of albuminuria or CV risk factors among persons with T1D. The use of the GlucoCheck device in T1D may not contribute to CV risk stratification. Disclosure E. Buur stougaard: Employee; Spouse/Partner; Novo Nordisk, Stock/Shareholder; Spouse/Partner; Novo Nordisk. S. Winther: None. H. Amadid: Stock/Shareholder; Self; Novo Nordisk A/S. M. Frimodt-moeller: None. F. Persson: Advisory Panel; Self; AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Mundipharma International, Novo Nordisk, Advisory Panel; Spouse/Partner; AstraZeneca, Bristol-Myers Squibb Company, Research Support; Self; Amgen Inc., AstraZeneca, Boehringer Ingelheim International GmbH, Novo Nordisk, Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Mundipharma International, Novo Nordisk. T. W. Hansen: Stock/Shareholder; Self; Novo Nordisk A/S. P. Rossing: Advisory Panel; Self; Astellas Pharma Inc., AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Gilead Sciences, Inc., Merck KGaA, Merck Sharp & Dohme Corp., Novo Nordisk A/S, Sanofi, Vifor Pharma Management Ltd. Funding Novo Nordisk Foundation (NNF14SA0003)
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