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Validation of Plasma Biomarker Candidates for the Prediction of eGFR Decline in Patients With Type 2 Diabetes

Heinzel, Andreas (author)
Medical University of Vienna
Kammer, Michael (author)
Medical University of Vienna
Mayer, Gert (author)
Medical University of Innsbruck
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Reindl-Schwaighofer, Roman (author)
Medical University of Vienna
Hu, Karin (author)
Medical University of Vienna
Perco, Paul (author)
Medical University of Innsbruck
Eder, Susanne (author)
Medical University of Innsbruck
Rosivall, Laszlo (author)
Semmelweis University
Mark, Patrick B. (author)
University of Glasgow
Ju, Wenjun (author)
University of Michigan
Kretzler, Matthias (author)
University of Michigan
Gilmour, Peter (author)
Astellas Pharma Europe
Wilson, Jonathan M. (author)
Eli Lilly and Company
Duffin, Kevin L. (author)
Eli Lilly and Company
Abdalla, Moustafa (author)
University of Oxford,Wellcome Trust Centre for Human Genetics
McCarthy, Mark I. (author)
Churchill Hospital,Wellcome Trust Centre for Human Genetics,University of Oxford
Heinze, Georg (author)
Medical University of Vienna
Heerspink, Hiddo L. (author)
University Medical Center Groningen
Wiecek, Andrzej (author)
Medical University of Silesia
Gomez, Maria F. (author)
Lund University,Lunds universitet,Diabetiska komplikationer,Forskargrupper vid Lunds universitet,Diabetic Complications,Lund University Research Groups
Oberbauer, Rainer (author)
Medical University of Vienna
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 (creator_code:org_t)
 
2018-07-06
2018
English 8 s.
In: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 41:9, s. 1947-1954
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • RESEARCH DESIGN AND METHODS: We studied participants in PROVALID (PROspective cohort study in patients with type 2 diabetes mellitus for VALIDation of biomarkers), a prospective multinational cohort study of patients with type 2 diabetes and a follow-up of more than 24 months (n = 2,560; baseline median eGFR, 84 mL/min/1.73 m2; urine albumin-to-creatinine ratio, 8.1 mg/g). The 17 biomarkers were measured at baseline in 481 samples using Luminex and ELISA. The prediction of eGFR decline was evaluated by linear mixed modeling.RESULTS: In univariable analyses, 9 of the 17 markers showed significant differences in median concentration between stable and fast-progressing patients. A linear mixed model for eGFR obtained by variable selection exhibited an adjusted R2 of 62%. A panel of 12 biomarkers was selected by the procedure and accounted for 34% of the total explained variability, of which 32% was due to 5 markers. The individual contribution of each biomarker to the prediction of eGFR decline on top of clinical predictors was generally low. When included into the model, baseline eGFR exhibited the largest explained variability of eGFR decline (R2 of 79%), and the contribution of each biomarker dropped below 1%.CONCLUSIONS: In this longitudinal study of patients with type 2 diabetes and maintained eGFR at baseline, 12 of the 17 candidate biomarkers were associated with eGFR decline, but their predictive power was low.OBJECTIVE: The decline of estimated glomerular filtration rate (eGFR) in patients with type 2 diabetes is variable, and early interventions would likely be cost-effective. We elucidated the contribution of 17 plasma biomarkers to the prediction of eGFR loss on top of clinical risk factors.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

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