دورية أكاديمية
The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease
العنوان: | The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease |
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المؤلفون: | Verbeke, Francis, Siwy, Justyna, Van Biesen, Wim, Mischak, Harald, Pletinck, Anneleen, Schepers, Eva, Neirynck, Nathalie, Magalhães, Pedro, Pejchinovski, Martin, Pontillo, Claudia, Lichtinghagen, Ralf, Brand, Korbinian, Vlahou, Antonia, De Bacquer, Dirk, Glorieux, Griet |
المصدر: | NEPHROLOGY DIALYSIS TRANSPLANTATION ; ISSN: 0931-0509 ; ISSN: 1460-2385 |
سنة النشر: | 2021 |
المجموعة: | Ghent University Academic Bibliography |
مصطلحات موضوعية: | Medicine and Health Sciences, CKD273, cardiovascular risk, chronic kidney disease, mortality, proteomics, MASS-SPECTROMETRY, COLLAGEN TURNOVER, CKD, DIAGNOSIS, PEPTIDES, PROTEINS, MARKERS |
الوصف: | Background: The urinary proteomic classifier chronic kidney disease 273 (CKD273) is predictive for the development and progression of chronic kidney disease (CKD) and/or albuminuria in type 2 diabetes. This study evaluates its role in the prediction of cardiovascular (CV) events in patients with CKD Stages G1-G5. Methods: We applied the CKD273 classifier in a cohort of 451 patients with CKD Stages G1-G5 followed prospectively for a median of 5.5 years. Primary endpoints were all-cause mortality, CV mortality and the composite of non-fatal and fatal CV events (CVEs). Results: In multivariate Cox regression models adjusting for age, sex, prevalent diabetes and CV history, the CKD273 classifier at baseline was significantly associated with total mortality and time to fatal or non-fatal CVE, but not CV mortality. Because of a significant interaction between CKD273 and CV history (P = 0.018) and CKD stages (P = 0.002), a stratified analysis was performed. In the fully adjusted models, CKD273 classifier was a strong and independent predictor of fatal or non-fatal CVE only in the subgroup of patients with CKD Stages G1-G3b and without a history of CV disease. In those patients, the highest tertile of CKD273 was associated with a >10-fold increased risk as compared with the lowest tertile. Conclusions: The urinary CKD273 classifier provides additional independent information regarding the CV risk in patients with early CKD stage and a blank CV history. Determination of CKD273 scores on a random urine sample may improve the efficacy of intensified surveillance and preventive strategies by selecting patients who potentially will benefit most from early risk management. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | English |
العلاقة: | https://biblio.ugent.be/publication/8642024Test; http://hdl.handle.net/1854/LU-8642024Test; http://dx.doi.org/10.1093/ndt/gfz242Test; https://biblio.ugent.be/publication/8642024/file/8642025Test |
DOI: | 10.1093/ndt/gfz242 |
الإتاحة: | https://doi.org/10.1093/ndt/gfz242Test https://biblio.ugent.be/publication/8642024Test http://hdl.handle.net/1854/LU-8642024Test https://biblio.ugent.be/publication/8642024/file/8642025Test |
حقوق: | No license (in copyright) ; info:eu-repo/semantics/restrictedAccess |
رقم الانضمام: | edsbas.DF02358A |
قاعدة البيانات: | BASE |
DOI: | 10.1093/ndt/gfz242 |
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