Why the study?
The study evaluated whether biomarkers of kidney injury predict long-term mortality in patients with chronic heart failure.
Do urinary biomarkers of kidney injury (KIM-1, NAG, NGAL) predict long-term mortality in patients with chronic heart failure?
Do urinary biomarkers of kidney injury (KIM-1, NAG, NGAL) predict long-term mortality in patients with chronic heart failure?
Urinary NAG and KIM-1 are significant predictors of long-term all-cause mortality in patients with chronic heart failure, though NAG loses independent predictive value when combined with NT-proBNP.
Answers are grounded in this paper and cite their sources.
Urinary NAG and KIM-1 may refine mortality risk assessment in chronic HF; leaves open independent value beyond NT-proBNP.
Aim: The study focused on biomarkers of kidney injury as predictors of mortality in patients with chronic heart failure (CHF) in a long-term follow-up (median 104 months). Methods/results: KIM-1, NAG and NGAL were assessed from urine, NT-proBNP from blood samples. 149 patients (age 62 ± 12 years) with CHF (mean EF 30% [IQR 24–40%]) were enrolled. 79 (53%) patients died. Cox regression analysis revealed Log2NAG (HR: 1.46, CI: 1.12–1.89), Log2KIM-1 (HR: 1.23, CI: 1.02–1.49) and Log2NT-proBNP (HR: 1.50, CI: 1.32–1.72) as significant predictors of all-cause mortality as opposed to Log2NGAL (HR: 1.04, CI: 0.90–1.20). Log2NAG remained a significant predictor of all-cause mortality in a multivariate Cox regression model but lost its predictive value in combination with Log2NT-proBNP. Conclusion: The 10-year follow-up suggests NAG as a predictive tubular marker in CHF patients.
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Strack et al. (2021) studied this question.
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