Abstract

ObjectivesTwo biomarkers, growth differentiation factor 15 (GDF-15) and fibroblast growth factor 23 (FGF-23)), reflecting different aspects of renal pathophysiology, were evaluated as determinants of decline in estimated glomerular filtration rate (eGFR), incident cardiovascular disease (CVD) and all-cause mortality in patients with type 2 diabetes (T2D) and microalbuminuria, but without clinical cardiac disease.Materials and methodsProspective study including 200 T2D patients. The predefined endpoint of chronic kidney disease (CKD) progression: A decline in eGFR of >30% at any time point during follow-up. Hazard ratios (HR) are provided per 1 SD increment of log2-transformed values.ResultsMean (± SD) age was 59 ± 9 years, eGFR 91.1 ± 18.3 ml/min/1.73m2 and median (IQR) UAER 103 (39–230) mg/24-h. During a median 6.1 years follow-up, 40 incident CVD events, 26 deaths and 42 patients reached the CKD endpoint after median 4.9 years. Higher GDF-15 was a determinant of decline in eGFR >30% and all-cause mortality in adjusted models (HR 1.7 (1.1–2.5); p = 0.018 and HR 1.9 (1.2–2.9); p = 0.003, respectively). Adding GDF-15 to traditional risk factors improved risk prediction of decline in renal function (relative integrated discrimination improvement (rIDI) = 30%; p = 0.037). Higher FGF-23 was associated with all-cause mortality in adjusted models (HR 1.6 (1.1–2.2); p = 0.011) with a rIDI of 30% (p = 0.024).ConclusionsIn patients with T2D and microalbuminuria, higher GDF-15 and FGF-23 were independently associated with all-cause mortality and higher GDF-15 improved risk prediction of decline in kidney function and higher FGF-23 of all-cause mortality, beyond traditional risk factors, but not independently of GDF-15.

Highlights

  • Patients with type 2 diabetes (T2D) are at significantly increased risk for both cardiovascular disease (CVD) and development of chronic kidney disease (CKD)[1]

  • Higher GDF15 was a determinant of decline in estimated glomerular filtration rate (eGFR) >30% and all-cause mortality in adjusted models (HR 1.7 (1.1–2.5); p = 0.018 and Hazard ratios (HR) 1.9 (1.2–2.9); p = 0.003, respectively)

  • Adding Growth differentiating factor (GDF)-15 to traditional risk factors improved risk prediction of decline in renal function (relative integrated discrimination improvement = 30%; p = 0.037)

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Summary

Introduction

Patients with type 2 diabetes (T2D) are at significantly increased risk for both cardiovascular disease (CVD) and development of chronic kidney disease (CKD)[1]. Diabetic kidney disease is the most frequent cause of end-stage renal disease (ESRD) in western countries[2]. Progression of CKD further increases the risk for CVD[3]. Identification of persons at highest risk of rapid progression in CKD would allow stratification in an early phase so adequate treatment can be implemented. Presence of albuminuria and lower estimated glomerular filtration rate (eGFR) are the best means to identify persons at highest risk of ESRD[4]. The search for additional biomarkers to improve this stratification is ongoing

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