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Characteristics of high- and low-risk individuals in the PRIORITY study: urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes

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Tofte, N, Lindhardt, M, Adamova, K, Beige, J, Beulens, JWJ, Birkenfeld, AL, Currie, G, Delles, C, Dimos, I, Francová, L, Frimodt-Møller, M, Girman, P, Göke, R, Havrdova, T, Kooy, A, Mischak, H, Navis, G, Nijpels, G, Noutsou, M, Ortiz, A, Parvanova, A, Persson, F, Ruggenenti, PL, Rutters, F, Rychlík, I, Spasovski, G, Speeckaert, M, Trillini, M, von der Leyen, H & Rossing, P 2018, 'Characteristics of high- and low-risk individuals in the PRIORITY study: urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes', Diabetic Medicine, bind 35, nr. 10, s. 1375-1382. https://doi.org/10.1111/dme.13669

APA

Tofte, N., Lindhardt, M., Adamova, K., Beige, J., Beulens, J. W. J., Birkenfeld, A. L., Currie, G., Delles, C., Dimos, I., Francová, L., Frimodt-Møller, M., Girman, P., Göke, R., Havrdova, T., Kooy, A., Mischak, H., Navis, G., Nijpels, G., Noutsou, M., ... Rossing, P. (2018). Characteristics of high- and low-risk individuals in the PRIORITY study: urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes. Diabetic Medicine, 35(10), 1375-1382. https://doi.org/10.1111/dme.13669

CBE

Tofte N, Lindhardt M, Adamova K, Beige J, Beulens JWJ, Birkenfeld AL, Currie G, Delles C, Dimos I, Francová L, Frimodt-Møller M, Girman P, Göke R, Havrdova T, Kooy A, Mischak H, Navis G, Nijpels G, Noutsou M, Ortiz A, Parvanova A, Persson F, Ruggenenti PL, Rutters F, Rychlík I, Spasovski G, Speeckaert M, Trillini M, von der Leyen H, Rossing P. 2018. Characteristics of high- and low-risk individuals in the PRIORITY study: urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes. Diabetic Medicine. 35(10):1375-1382. https://doi.org/10.1111/dme.13669

MLA

Vancouver

Author

Tofte, N ; Lindhardt, M ; Adamova, K ; Beige, J ; Beulens, J W J ; Birkenfeld, A L ; Currie, G ; Delles, C ; Dimos, I ; Francová, L ; Frimodt-Møller, M ; Girman, P ; Göke, R ; Havrdova, T ; Kooy, A ; Mischak, H ; Navis, G ; Nijpels, G ; Noutsou, M ; Ortiz, A ; Parvanova, A ; Persson, F ; Ruggenenti, P L ; Rutters, F ; Rychlík, I ; Spasovski, G ; Speeckaert, M ; Trillini, M ; von der Leyen, H ; Rossing, P. / Characteristics of high- and low-risk individuals in the PRIORITY study : urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes. I: Diabetic Medicine. 2018 ; Bind 35, Nr. 10. s. 1375-1382.

Bibtex

@article{76146310f54b46ecb0cd054349c4c6e0,
title = "Characteristics of high- and low-risk individuals in the PRIORITY study: urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes",
abstract = "AIM: To compare clinical baseline data in individuals with Type 2 diabetes and normoalbuminuria, who are at high or low risk of diabetic kidney disease based on the urinary proteomics classifier CKD273.METHODS: We conducted a prospective, randomized, double-blind, placebo-controlled international multicentre clinical trial and observational study in participants with Type 2 diabetes and normoalbuminuria, stratified into high- or low-risk groups based on CKD273 score. Clinical baseline data for the whole cohort and stratified by risk groups are reported. The associations between CKD273 and traditional risk factors for diabetic kidney disease were evaluated using univariate and logistic regression analysis.RESULTS: A total of 1777 participants from 15 centres were included, with 12.3% of these having a high-risk proteomic pattern. Participants in the high-risk group (n=218), were more likely to be men, were older, had longer diabetes duration, a lower estimated GFR and a higher urinary albumin:creatinine ratio than those in the low-risk group (n=1559, P<0.02). Numerical differences were small and univariate regression analyses showed weak associations (R2 < 0.04) of CKD273 with each baseline variable. In a logistic regression model including clinical variables known to be associated with diabetic kidney disease, estimated GFR, gender, log urinary albumin:creatinine ratio and use of renin-angiotensin system-blocking agents remained significant determinants of the CKD273 high-risk group: area under the curve 0.72 (95% CI 0.68-0.75; P<0.01).CONCLUSIONS: In this population of individuals with Type 2 diabetes and normoalbuminuria, traditional diabetic kidney disease risk factors differed slightly between participants at high risk and those at low risk of diabetic kidney disease, based on CKD273. These data suggest that CKD273 may provide additional prognostic information over and above the variables routinely available in the clinic. Testing the added value will be subject to our ongoing study. This article is protected by copyright. All rights reserved.",
author = "N Tofte and M Lindhardt and K Adamova and J Beige and Beulens, {J W J} and Birkenfeld, {A L} and G Currie and C Delles and I Dimos and L Francov{\'a} and M Frimodt-M{\o}ller and P Girman and R G{\"o}ke and T Havrdova and A Kooy and H Mischak and G Navis and G Nijpels and M Noutsou and A Ortiz and A Parvanova and F Persson and Ruggenenti, {P L} and F Rutters and I Rychl{\'i}k and G Spasovski and M Speeckaert and M Trillini and {von der Leyen}, H and P Rossing",
note = "This article is protected by copyright. All rights reserved.",
year = "2018",
month = may,
day = "21",
doi = "10.1111/dme.13669",
language = "English",
volume = "35",
pages = "1375--1382",
journal = "Diabetic Medicine",
issn = "1464-5491",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "10",

}

RIS

TY - JOUR

T1 - Characteristics of high- and low-risk individuals in the PRIORITY study

T2 - urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes

AU - Tofte, N

AU - Lindhardt, M

AU - Adamova, K

AU - Beige, J

AU - Beulens, J W J

AU - Birkenfeld, A L

AU - Currie, G

AU - Delles, C

AU - Dimos, I

AU - Francová, L

AU - Frimodt-Møller, M

AU - Girman, P

AU - Göke, R

AU - Havrdova, T

AU - Kooy, A

AU - Mischak, H

AU - Navis, G

AU - Nijpels, G

AU - Noutsou, M

AU - Ortiz, A

AU - Parvanova, A

AU - Persson, F

AU - Ruggenenti, P L

AU - Rutters, F

AU - Rychlík, I

AU - Spasovski, G

AU - Speeckaert, M

AU - Trillini, M

AU - von der Leyen, H

AU - Rossing, P

N1 - This article is protected by copyright. All rights reserved.

PY - 2018/5/21

Y1 - 2018/5/21

N2 - AIM: To compare clinical baseline data in individuals with Type 2 diabetes and normoalbuminuria, who are at high or low risk of diabetic kidney disease based on the urinary proteomics classifier CKD273.METHODS: We conducted a prospective, randomized, double-blind, placebo-controlled international multicentre clinical trial and observational study in participants with Type 2 diabetes and normoalbuminuria, stratified into high- or low-risk groups based on CKD273 score. Clinical baseline data for the whole cohort and stratified by risk groups are reported. The associations between CKD273 and traditional risk factors for diabetic kidney disease were evaluated using univariate and logistic regression analysis.RESULTS: A total of 1777 participants from 15 centres were included, with 12.3% of these having a high-risk proteomic pattern. Participants in the high-risk group (n=218), were more likely to be men, were older, had longer diabetes duration, a lower estimated GFR and a higher urinary albumin:creatinine ratio than those in the low-risk group (n=1559, P<0.02). Numerical differences were small and univariate regression analyses showed weak associations (R2 < 0.04) of CKD273 with each baseline variable. In a logistic regression model including clinical variables known to be associated with diabetic kidney disease, estimated GFR, gender, log urinary albumin:creatinine ratio and use of renin-angiotensin system-blocking agents remained significant determinants of the CKD273 high-risk group: area under the curve 0.72 (95% CI 0.68-0.75; P<0.01).CONCLUSIONS: In this population of individuals with Type 2 diabetes and normoalbuminuria, traditional diabetic kidney disease risk factors differed slightly between participants at high risk and those at low risk of diabetic kidney disease, based on CKD273. These data suggest that CKD273 may provide additional prognostic information over and above the variables routinely available in the clinic. Testing the added value will be subject to our ongoing study. This article is protected by copyright. All rights reserved.

AB - AIM: To compare clinical baseline data in individuals with Type 2 diabetes and normoalbuminuria, who are at high or low risk of diabetic kidney disease based on the urinary proteomics classifier CKD273.METHODS: We conducted a prospective, randomized, double-blind, placebo-controlled international multicentre clinical trial and observational study in participants with Type 2 diabetes and normoalbuminuria, stratified into high- or low-risk groups based on CKD273 score. Clinical baseline data for the whole cohort and stratified by risk groups are reported. The associations between CKD273 and traditional risk factors for diabetic kidney disease were evaluated using univariate and logistic regression analysis.RESULTS: A total of 1777 participants from 15 centres were included, with 12.3% of these having a high-risk proteomic pattern. Participants in the high-risk group (n=218), were more likely to be men, were older, had longer diabetes duration, a lower estimated GFR and a higher urinary albumin:creatinine ratio than those in the low-risk group (n=1559, P<0.02). Numerical differences were small and univariate regression analyses showed weak associations (R2 < 0.04) of CKD273 with each baseline variable. In a logistic regression model including clinical variables known to be associated with diabetic kidney disease, estimated GFR, gender, log urinary albumin:creatinine ratio and use of renin-angiotensin system-blocking agents remained significant determinants of the CKD273 high-risk group: area under the curve 0.72 (95% CI 0.68-0.75; P<0.01).CONCLUSIONS: In this population of individuals with Type 2 diabetes and normoalbuminuria, traditional diabetic kidney disease risk factors differed slightly between participants at high risk and those at low risk of diabetic kidney disease, based on CKD273. These data suggest that CKD273 may provide additional prognostic information over and above the variables routinely available in the clinic. Testing the added value will be subject to our ongoing study. This article is protected by copyright. All rights reserved.

U2 - 10.1111/dme.13669

DO - 10.1111/dme.13669

M3 - Journal article

C2 - 29781558

VL - 35

SP - 1375

EP - 1382

JO - Diabetic Medicine

JF - Diabetic Medicine

SN - 1464-5491

IS - 10

ER -

ID: 54586488