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Search: id:"swepub:oai:lup.lub.lu.se:01afddd3-1818-4377-8220-cb7f65de9533" > Validation of Plasm...

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  • Heinzel, AndreasMedical University of Vienna (author)

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

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • 2018-07-06
  • American Diabetes Association,2018
  • 8 s.

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  • LIBRIS-ID:oai:lup.lub.lu.se:01afddd3-1818-4377-8220-cb7f65de9533
  • https://lup.lub.lu.se/record/01afddd3-1818-4377-8220-cb7f65de9533URI
  • https://doi.org/10.2337/dc18-0532DOI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Kammer, MichaelMedical University of Vienna (author)
  • Mayer, GertMedical University of Innsbruck (author)
  • Reindl-Schwaighofer, RomanMedical University of Vienna (author)
  • Hu, KarinMedical University of Vienna (author)
  • Perco, PaulMedical University of Innsbruck (author)
  • Eder, SusanneMedical University of Innsbruck (author)
  • Rosivall, LaszloSemmelweis University (author)
  • Mark, Patrick B.University of Glasgow (author)
  • Ju, WenjunUniversity of Michigan (author)
  • Kretzler, MatthiasUniversity of Michigan (author)
  • Gilmour, PeterAstellas Pharma Europe (author)
  • Wilson, Jonathan M.Eli Lilly and Company (author)
  • Duffin, Kevin L.Eli Lilly and Company (author)
  • Abdalla, MoustafaWellcome Trust Centre for Human Genetics,University of Oxford (author)
  • McCarthy, Mark I.Churchill Hospital,University of Oxford,Wellcome Trust Centre for Human Genetics (author)
  • Heinze, GeorgMedical University of Vienna (author)
  • Heerspink, Hiddo L.University Medical Center Groningen (author)
  • Wiecek, AndrzejMedical University of Silesia (author)
  • Gomez, Maria F.Lund University,Lunds universitet,Diabetiska komplikationer,Forskargrupper vid Lunds universitet,Diabetic Complications,Lund University Research Groups(Swepub:lu)mphy-mgo (author)
  • Oberbauer, RainerMedical University of Vienna (author)
  • Medical University of ViennaMedical University of Innsbruck (creator_code:org_t)
  • BEAt-DKD Consortium

Related titles

  • In:Diabetes Care: American Diabetes Association41:9, s. 1947-19541935-55480149-5992

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