1. Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides
- Author
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Schanstra, Joost, Zürbig, Petra, Alkhalaf, Alaa, Argilés, Angel, Bakker, Stephan, Beige, Joachim, Bilo, Henk, Chatzikyrkou, Christos, Dakna, Mohammed, Dawson, Jesse, Delles, Christian, Haller, Hermann, Haubitz, Marion, Husi, Holger, Jankowski, Jan, Jerums, George, Kleefstra, Nanne, Kuznetsova, Tatiana, Maahs, David, Menne, Jan, Mullen, William, Ortiz, Alberto, Persson, Frederik, Rossing, Peter, Ruggenenti, Piero, Rychlik, Ivan, Serra, Andreas, Siwy, Justyna, Snell-Bergeon, Jan, Spasovski, Goce, Staessen, Jan, Vlahou, Antonia, Mischak, Harald, Vanholder, Raymond, Zurbig, P., Bakker, J., Staessen, A., Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Institut National de la Santé et de la Recherche Médicale (INSERM), Mosaiques Diagnostics GmbH, Néphrologie Dialyse Saint Guilhem (NDSG), RD-Néphrologie (R&D), Biocommunication en Cardio-Métabolique (BC2M), Université de Montpellier (UM), Isala Clinics, Diabetes Centre, Mosaiques Diagnostics and Therapeutics, Mosaiques diagnostics and therapeutics, BHF Glasgow Cardiovascular Research Centre (BHF GCRC), University of Glasgow, Division of Nephrology and Hypertension, Department of Medicine, Hanover Medical School, Department of Nephrology (MHH), Hannover Medical School [Hannover] (MHH), Department of Poultry Science, University of Warmia and Mazury, BHF Glasgow Cardiovascular Research Centre, University of Glasgow-Institute of Cardiovascular & Medical Sciences, Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Steno Diabetes Center of Copenhagen [Gentofte, Denmark], Charles University [Prague] (CU), Maastricht University [Maastricht], Biomedical Research Foundation of the Academy of Athens, Institute of Cardiovascular and Medical Sciences [Glasgow], Nephrology Section [Ghent], Ghent University Hospital, Department of Intensive Care, and Erasmus Medical Centre
- Subjects
Male ,CHRONIC KIDNEY-DISEASE ,[SDV]Life Sciences [q-bio] ,030232 urology & nephrology ,urologic and male genital diseases ,Diabetic nephropathy ,Cohort Studies ,0302 clinical medicine ,Fibrosis ,POSITION STATEMENT ,10. No inequality ,ALBUMIN EXCRETION ,RISK ,0303 health sciences ,Area under the curve ,renal progression ,General Medicine ,Middle Aged ,female genital diseases and pregnancy complications ,3. Good health ,Nephrology ,IMPROVING GLOBAL OUTCOMES ,Cohort ,Disease Progression ,Biomarker (medicine) ,biomarker ,Female ,PROTEOMIC ANALYSIS ,medicine.symptom ,Glomerular Filtration Rate ,Adult ,medicine.medical_specialty ,Urinary system ,extracellular matrix ,BIOMARKERS ,Urology ,Renal function ,albuminuria ,DIABETIC-NEPHROPATHY ,03 medical and health sciences ,Clinical Research ,Internal medicine ,Up Front Matters ,medicine ,CKD ,INJURY ,Humans ,Renal Insufficiency, Chronic ,030304 developmental biology ,Aged ,business.industry ,fibrosis ,NEED ,medicine.disease ,Endocrinology ,Albuminuria ,business ,Peptides - Abstract
Progressive CKD is generally detected at a late stage by a sustained decline in eGFR and/or the presence of significant albuminuria. With the aim of early and improved risk stratification of patients with CKD, we studied urinary peptides in a large cross-sectional multicenter cohort of 1990 individuals, including 522 with follow-up data, using proteome analysis. We validated that a previously established multipeptide urinary biomarker classifier performed significantly better in detecting and predicting progression of CKD than the current clinical standard, urinary albumin. The classifier was also more sensitive for identifying patients with rapidly progressing CKD. Compared with the combination of baseline eGFR and albuminuria (area under the curve [AUC]=0.758), the addition of the multipeptide biomarker classifier significantly improved CKD risk prediction (AUC=0.831) as assessed by the net reclassification index (0.303±-0.065; P
- Published
- 2015
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