Urinary tubular biomarkers as predictors of kidney function decline, cardiovascular events and mortality in microalbuminuric type 2 diabetic patients

Acta Diabetol. 2018 Nov;55(11):1143-1150. doi: 10.1007/s00592-018-1205-0. Epub 2018 Aug 14.

Abstract

Aims: Urinary levels of kidney injury molecule 1 (u-KIM-1) and neutrophil gelatinase-associated lipocalin (u-NGAL) reflect proximal tubular pathophysiology and have been proposed as risk markers for development of complications in patients with type 2 diabetes (T2D). We clarify the predictive value of u-KIM-1 and u-NGAL for decline in eGFR, cardiovascular events (CVE) and all-cause mortality in patients with T2D and persistent microalbuminuria without clinical cardiovascular disease.

Methods: This is a prospective study that included 200 patients. u-KIM-1 and u-NGAL were measured at baseline and were available in 192 patients. Endpoints comprised: decline in eGFR > 30%, a composite of fatal and nonfatal CVE consisting of: cardiovascular mortality, myocardial infarction, stroke, ischemic heart disease and heart failure based on national hospital discharge registries, and all-cause mortality. Adjusted Cox models included traditional risk factors, including eGFR. Hazard ratios (HR) are provided per 1 standard deviation (SD) increment of log2-transformed values. Relative integrated discrimination improvement (rIDI) was calculated.

Results: During the 6.1 years' follow-up, higher u-KIM-1 was a predictor of eGFR decline (n = 29), CVE (n = 34) and all-cause mortality (n = 29) in adjusted models: HR (95% CI) 1.68 (1.04-2.71), p = 0.034; 2.26 (1.24-4.15), p = 0.008; and 1.52 (1.00-2.31), p = 0.049. u-KIM-1 contributed significantly to risk prediction for all-cause mortality evaluated by rIDI (63.1%, p = 0.001). u-NGAL was not a predictor of any of the outcomes after adjustment.

Conclusions: In patients with T2D and persistent microalbuminuria, u-KIM-1, but not u-NGAL, was an independent risk factor for decline in eGFR, CVE and all-cause mortality, and contributed significant discrimination for all-cause mortality, beyond traditional risk factors.

Keywords: Albuminuria; Biomarkers; Cardiovascular; Diabetic kidney disease; Diabetic nephropathy; Type 2 diabetes.

MeSH terms

  • Aged
  • Albuminuria / urine
  • Biomarkers / blood
  • Biomarkers / urine
  • Cholesterol / blood
  • Creatinine / blood
  • Creatinine / urine
  • Diabetes Mellitus, Type 2 / complications*
  • Diabetic Angiopathies / blood
  • Diabetic Angiopathies / epidemiology
  • Diabetic Angiopathies / urine*
  • Diabetic Nephropathies / blood
  • Diabetic Nephropathies / epidemiology
  • Diabetic Nephropathies / urine*
  • Female
  • Glomerular Filtration Rate
  • Hepatitis A Virus Cellular Receptor 1 / analysis
  • Humans
  • Lipocalin-2 / urine
  • Male
  • Middle Aged
  • Mortality

Substances

  • Biomarkers
  • HAVCR1 protein, human
  • Hepatitis A Virus Cellular Receptor 1
  • Lipocalin-2
  • Cholesterol
  • Creatinine